>>In late 2009 when the industry was just beginning to offer so-called converged infrastructure, CI Nutanix was skating to the puck, so to speak, meaning unlike conversion infrastructure, which essentially bolted together compute and networking and storage into a single skew that was very hardware centric. Nutanix was focused on creating HCI hyperconverged infrastructure, which was a software led architecture that unified the key elements of data center infrastructure. Now, while both approaches saved time and money, HCI took the concept to new heights of cost savings and simplicity. Hyperconverged infrastructure became a staple of private clouds creating a cloudlike experience. OnPrem. As the public cloud evolved and grew, more and more customers are now taking a cloud first approach to it. So the challenge becomes how do you remodel your IT house so that you can connect your on-prem workloads to the cloud, to both simplify cloud migration, while at the same time creating an identical experience across your estate? >>Hello, and welcome to this special program, Accelerate Hybrid Cloud with Nutanix and Microsoft Made Possible by By Nutanix and produced by the Cube. I'm Dave Ante, one of your hosts today. Now, in this session, we'll hear how Nutanix is evolving its initial vision of simplifying infrastructure, deployment and management to support modern applications by partnering with Microsoft to enable that consistent experience that we talked about earlier, to extend hybrid cloud to Microsoft Azure and take advantage of cloud native tooling. Now, what's really important to stress here, and you'll hear this in our second segment, substantive engineering work has gone into this partnership. A lot of partnerships are sealed with a press release. We sometimes call it a Barney deal. You know, I love you, you love me. Like Barney, the once popular children's dinosaur character. We dig into the critical engineering aspects that enable that seamless connection between on-prem infrastructure and the public cloud. >>Now, in our first segment, Lisa Martin talks to Alro Salise, who is the vice president of Global ISD Commercial Solutions at Microsoft, and Michael Les Chica, who is the vice president of business development for the cloud and database partner ecosystem at Nutanix. Now, after that, Lisa will kick it back to me in our Boston studios to speak with Eric Lockard, who is the corporate vice president of Microsoft Azure specialized, along with Thomas Cornell, who is the senior vice president of products at Nutanix. And Indu Carey, who's the senior vice president of of engineering for NCI and NNC two at Nutanix. And we'll dig deeper into the announcement and it's salient features. Thanks for being with us. We hope you enjoy the program. Over to Lisa. >>Hi everyone. Welcome to our event Accelerate Hybrid Cloud with Nutanix and Microsoft. I'm your host Lisa Martin, and I've got two great guests here with me to give you some exciting news. Please welcome Alva Salise, the Vice President of Global ISD Commercial Solutions at Microsoft, and Michael Les Chika, VP of Business Development Cloud and database partner ecosystem at Nutanix. Guys, it's great to have you on the program. Thanks so much for joining me today. Great to be here. >>Thank you, Lisa. Looking forward, >>Yeah, so let's go ahead and start with you. Talk to me from your lens, what are you seeing in terms of the importance of the role of the the ISV ecosystem and really helping customers make their business outcomes successful? >>Oh, absolutely. Well, first of all, thank you for the invitation and thank you Michael and the Nutanix team for the partnership. The the ISV ecosystem plays a critical role as we support our customers and enable them in their data transformation journeys to create value, to move at their own pace, and more important to be sure that every one of them, as they transform themselves, have the right set of solutions for the long term with high differentiation, cost effectiveness and resiliency, especially given the times that we're living. >>Yeah, that resiliency is getting more and more critical as each day goes on. Ava was sticking with you. We got Microsoft Ignite going on today. What are some of the key themes that we should expect this year and how do they align to Microsoft's vision and strategy? >>Ah, great question. Thank you. When you think about it, we wanna talk about the topics that are very relevant and our customers have asked us to go deeper and, and share with them. One of them, as you may imagine, is how can we do more with less using Azure, especially given the current times that we're living in the, the business context has changed so much, they have different imperative, different different amount of pressure and priorities. How can we help? How can we combine the platform, the value that Microsoft can bring and our Microsoft ISV partner ecosystem to deliver more value and enable them to have their own journey? Actually, in that frame, if I may, we are making this announcement today with Nutanix. I, the Nutanix cloud clusters are often the fastest way on which customers will be able to do that journey into the cloud because it's very consistent with environments that they already know and use on premise. And once they go into the cloud, then they have all the benefit of scale, agility, resiliency, security, and cost benefits that they're looking for. So that topic and this type of announcements will be a big part of what we doing. Ignite, >>Exciting. Michael, let's bring you into the conversation now. Big milestone of our RDTs that the general availability of Nutanix Cloud clusters on Azure. Talk to us about that from Nutanix's perspective and also gimme a little bit of color, Michael, on the partnership, the relationship. >>Yeah, sure, absolutely. So we actually entered a partnership couple years ago, so we've been working on this solution quite a while, but really our ultimate goal from day one was really to make our customers journeys to hybrid cloud simpler and faster. So really for both companies, I think our goal is really being that trusted partner for our customers in their innovation journey. And as mentioned, you know, in the current macroeconomic conditions, really our customers really care about, but they have to be mindful of their bottom line as well. So they're really looking to leverage their existing investments in technology skill sets and leverage the most out of that. So the things like, for example, cost to operations and keeping those things consistent, cost on premises and the cloud are really important as customers are thinking about growth initiatives that they wanna implement. And of course, going to Azure public cloud is an important one as they think about flexibility, scale and modernizing their apps. >>And of course, as we look at the customer landscape, a lot of customers have an on on footprint, right? Whether that's for regulatory reasons for business or other technical reasons. So hybrid cloud has really become an ideal operating model for a lot of the customers that we see today. So really our partnership with Microsoft is critical because together, I really do see our US together simplifying that journey to the public cloud and making sure that it's not only easy but secure and really seamless. And really, I see our partnership as bringing the strengths of each company together, right? So Nutanix, of course, is known in the past versus hyperconverge infrastructure and really breaking down those silos between networking, compute, storage, and simplifying that infrastructure and operations. And our customers love that for the products and our, our NPS score of 90 over the last seven years. And if you look at Azure, at Microsoft, they're truly best in class cloud infrastructure with cutting edge services and innovation and really global scale. So when you think about those two combinations, right, that's really powerful for customers to be able to take their applications and whether they're on or even, and really combining all those various hybrid scenarios. And I think that's something that's pretty unique that we're to offer customers. >>Let's dig into that uniqueness of our, bringing you back into the conversation. You guys are meeting customers where they are helping them to accelerate their cloud transformations, delivering that consistency, you know, whether they're on-prem in Azure, in in the cloud. Talk to me about, from Microsoft's perspective about the significance of this announcement. I understand that the, the preview was oversubscribed, so the demand from your joint customers is clear. >>Thank you, Lisa. Michael, personally, I'm very proud and at the company we're very proud of the world that we did together with Nutanix. When you see two companies coming together with the mission of empowering customers and with the customer at the center and trying to solve real problems in this case, how to drive hybrid cloud and what is the best approach for them, opening more opportunities is, is, is extremely inspiring. And of course the welcome reception that we have from customer reiterates that we generating that value. Now, when you combine the power of Azure, that is very well known by resiliency, the scale, the performance, the elasticity, and the range of services with the reality of companies that might have hundreds or even thousands of different applications and data sources, those cloud journeys are very different for each and every one of them. So how do we combine our capabilities between Nutanix and Microsoft to be sure that that hybrid cloud journey that every one is gonna take can be simplified, you can take away the risk, the complexity on that transformation creates tones of value. >>And that's what a customers are asking us today. Either because they're trying to move and modernize their environment to Azure, or they're bringing their, you know, a enable ordinate services and cluster and data services on premise to a Nutanix platform, we together can combine and solve for that adding more value for any scenario that customers may have. And this is not once and done, this is not that we building, we forget it. It's a partnership that keeps evolving and also includes work that we do with our solution sales alliances that go to market seems to be sure that the customers have diverse service and support to make, to create the outcomes that they're asking us to deliver. >>Talk to me a little bit about the customers that were in the beta, as we mentioned, Alva, the, the preview was oversubscribed. So as I talked about earlier, the demand is clearly there. Talk to me about some of the customers in beta, you can even anonymize them or maybe talk about them by industry, but what, what were some of the, the key things they came to these two companies looking to, to solve, get to the cloud faster, be able to deliver the same sets of services with familiarity so that from a, they're able to do more with less? >>Maybe I could take that one out of our abital lines. It did. It means, but yeah, so like, like we, like you mentioned Lisa, you know, we've had a great preview oversubscribe, we had lots of, of cu not only customers, but also partners battle testing the solution. And you know, we're obviously very pleased now to have GN offered to everyone else, but one of our customers, Camper J was really looking forward to seeing how do they leverage Ncq and Azure to, like I mentioned, reduce that work workload, my, my migration and a risk for that and making sure, hey, some of the applications, maybe we are going to go and rewrite them, refactor them to take them natively to Azure. But there's others where we wanna lift and shift them to Azure. But like I mentioned, it's not just customers, right? We've been working with partners like PCs and Citrix where they share the same goal as Microsoft and Nutanix provides that superior customer experience where whatever the operating model might be for that customer. So they're going to be leveraging NC two on Azure to really provide those hybrid cloud experiences for their solutions on top of building on top of the, the work that we've done together. >>So this really kind of highlights the power of that Alva, the power of the ISV ecosystem and what you're all able to do together to really help customers achieve the outcomes that they individually need. >>A absolutely, look, I mean, we strongly believe that when you partner properly with an V you get to the, to the magical framework, one plus one equals three or more because you are combining superpowers and you are solving the problem on behalf of the customer so they can focus on their business. And this is a wonderful example, a very inspiring one where when you see the risk, the complexity that all these projects normally have, and Michael did a great job framing some of them, and the difference that they have now by having NC to on Azure, it's night and day. And we are fully committed to keep driving this innovation, this partnership on service of our customers and our partner ecosystem because at the same time, making our partners more successful, generating more value for customers and for all of us. >>Abar, can you comment a little bit on the go to market? Like how, how do your joint customers engage? What does that look like from their perspective? >>You know, when you think about the go to market, a lot of that is we have, you know, teams all over the world that will be aligned and working together in service of the customer. There is marketing and demand generation that will be done, that will be also work on enjoying opportunities that we will manage as well as a very tight connection on projects to be sure that the support experience for customers is well aligned. I don't wanna go into too much detail, but I will like to guarantee that our intent is not only to create an incredible technological experience, which the, the development teams are done, but also a great experience for the customers that are going through these projects, interacting with both teams that will work as one in service to empower the customer to achieve the outcomes that they need. >>Yeah, and just to comment maybe a little bit more on what Albar said, you know, it's not just about the product integration or it's really the full end to end experience for our customers. So when we embarked on this partnership with Microsoft, we really thought about what is the right product integration and with our engineering teams, but also how do we go and talk to customers with value prop together and all the way down through to support. So we actually been worked on how do we have a single joint support for our customers. So it doesn't really matter how the customer engages, they really see this as an end to end single solution across two companies. >>And that's so critical given just the, the natural challenges that that organizations face and the dynamics of the macro economic environment that we're living in. For them, for customers to be able to have that really seamless single point of interaction, they want that consistent experience on-prem to the cloud. But from an engagement perspective that you're, what sounds like what you're doing, Michael and Avaro is, is goes a long way to really giving customers a much more streamlined approach so that they can be laser focused on solving the business problems that they have, being competitive, getting products to market faster and all that good stuff. Michael, I wonder if you could comment on maybe the cultural alignment that Nutanix and Microsoft have. I know Microsoft's partner program has been around for decades and decades. Michael, what does that cultural alignment look like from, you know, the sales and marketing folks down to engineering, down to support? >>Yeah, I think honestly that was, that was something that kind of fit really well and we saw really a long alignment from day one. Of course, you know, Nutanix cares a lot about our customer experience, not just within the products, but again, through the entire life cycle to support and so forth. And Microsoft's no different, right? There's a huge emphasis on making sure that we provide the best customer experience and that we're also focusing on solving real world customer problems, right? And really focusing on the biggest problems that customers have. So really culturally it felt, it felt really natural. It felt like we were a single team, although it's, you know, two bar organizations working together, but I really felt like a single team working day in, day out on, on solving customer problems together. >>Yeah, >>Let, go ahead. >>No, I would say, well say Michael, the, the one element that we complement, the, I think the answer was super complete, is the, the fact that we work together from the outside in, look at it from the customer lenses is extremely powerful and inspire, as I mentioned, because that's what it's all about. And when you put the customer at the center, everything else falls in part on its its own place very, very quickly. And then it's hard work and innovation and, you know, doing what we do best, which is combining over superpowers in service of that customer. So that was the piece that, you know, I, I cannot emphasize enough how inspiring he's been. And again, the, the response for the previous is a great example of the opportunity that we have in there. >>And you've taken a lot of complexity out of the customer environment and I can imagine that the GA of Nutanix cloud clusters on Azure is gonna be a huge benefit for customers in every industry. Last question guys, I wanna get both your perspectives on Michael, we'll start with you and then Lvra will wrap with you. What's next? Obviously a lot of exciting stuff. What's next for the partnership of these, these two superheroes together, Michael? >>Yeah, so I think our goal doesn't change, right? I think our North star is to continue to make it easy for our customers to adopt, migrate and modernize their applications, leveraging Nutanix and Microsoft Azure, right? And I think NC two and Azure is just the start of that. So kind of maybe more immediate, like, you know, we mentioned obviously we have, we announced the ga that's J in Americas, but kind of the next more immediate step over the next few months look for us to continue expanding beyond Americas and making sure that we have support across all the global regions. And then beyond that, you know, again, as of our mentioned, it's working from kind of the s backwards. So we're, we're not, no, we're not waiting for ega. We're already working on the next set of solutions saying what are other problems that customer facing, especially across, they're running their workload cross on premises and public cloud, and what are the next set of solutions that we can deliver to the market to solve those real challenges for. >>It sounds really strongly that, that the partnership here, we're talking about Nutanix and Microsoft, it's really Nutanix and Microsoft with the customer at this center. I think you've both done a great job of articulating that there's laser focus there. Our last word to you, what excites you about the momentum that Microsoft and Nutanix have for the customers? >>Well, thank you Lisa. Michael, I will tell you, when you hear the customer feedback on the impact that you're having, that's the most inspiring part because you know you're generating value, you know, you're making a difference, especially in these complex times when the, the partnership gets tested where the, the right, you know, relationship gets built. We're being there for customers is extremely inspiring. Now, as Michael mentioned, this is all about what customer needs and how do we go even ahead of the game, being sure that we're ready not for what is the problem today, but the opportunities that we have tomorrow to keep working on this. We have a huge TA task ahead to be sure that we bring this value globally in the right way with the right quality. Every word, which is a, is never as small fist as you may imagine. You know, the, the world is a big place, but also the next wave of innovations that will be customer driven to keep and, and raise the bar on how, how much more value can we unlock and how much empowerment can we make for the customer to keep in innovating at their own pace, in their own terms. >>Absolutely that customer empowerment's key. Guys, it's been a pleasure talking to you about the announcement Nutanix cloud clusters on Azure of our Michael, thank you for your time, your inputs and helping us understand the impact that this powerhouse relationship is making. >>Thank you for having Lisa and thank you AAR for joining >>Me. Thank you Lisa, Michael, it's been fantastic. I looking forward and thank you to the audience for being here with us. Yeah, stay >>Tuned. Thanks to the audience. Exactly. And stay tuned. There's more to come. We have coming up next, a deeper conversation on the announcement with Dave and product execs from both Microsoft. You won't wanna.

(upbeat music) >> Welcome back everyone to The Cubes coverage here in Seattle, Washington. For AWS's Marketplace Seller Conference. It's the big news within the Amazon partner network, combining with marketplace, forming the Amazon partner organization. Part of a big reorg as they grow to the next level, NextGen cloud, mid-game on the chessboard. Cube's got it covered. I'm John Furry, your host at Cube. Great guests here from Data bricks. Both cube alumni's. Jack Anderson, GM and VP of the Databricks partnership team for AWS. You handle that relationship and Joel Minick vice president of product and partner marketing. You guys have the keys to the kingdom with Databricks and AWS. Thanks for joining. Good to see you again. >> Thanks for having us back. >> Yeah, John, great to be here. >> So I feel like we're at Reinvent 2013. Small event, no stage, but there's a real shift happening with procurement. Obviously it's a no brainer on the micro, you know, people should be buying online. Self-service, Cloud Scale. But Amazon's got billions being sold through their marketplace. They've reorganized their partner network. You can see kind of what's going on. They've kind of figured it out. Like let's put everything together and simplify and make it less of a website, marketplace. Merge our partner organizations, have more synergy and frictionless experiences so everyone can make more money and customer's are going to be happier. >> Yeah, that's right. >> I mean, you're running relationship. You're in the middle of it. >> Well, Amazon's mental model here is that they want the world's best ISVs to operate on AWS so that we can collaborate and co architect on behalf of customers. And that's exactly what the APO and marketplace allow us to do, is to work with Amazon on these really, you know, unique use cases. >> You know, I interviewed Ali many times over the years. I remember many years ago, maybe six, seven years ago, we were talking. He's like, "we're all in on AWS." Obviously now the success of Databricks, you've got multiple clouds, see that. Customers have choice. But I remember the strategy early on. It was like, we're going to be deep. So this is, speaks volumes to the relationship you have. Years. Jack, take us through the relationship that Databricks has with AWS from a partner perspective. Joel, and from a product perspective. Because it's not like you guys are Johnny come lately, new to the scene. >> Right. >> You've been there, almost president creation of this wave. What's the relationship and how does it relate to what's going on today? >> So most people may not know that Databricks was born on AWS. We actually did our first $100 million of revenue on Amazon. And today we're obviously available on multiple clouds. But we're very fond of our Amazon relationship. And when you look at what the APN allows us to do, you know, we're able to expand our reach and co-sell with Amazon, and marketplace broadens our reach. And so, we think of marketplace in three different aspects. We've got the marketplace private offer business, which we've been doing for a number of years. Matter of fact, we were driving well over a hundred percent year over year growth in private offers. And we have a nine figure business. So it's a very significant business. And when a customer uses a private offer, that private offer counts against their private pricing agreement with AWS. So they get pricing power against their private pricing. So it's really important it goes on their Amazon bill. In may we launched our pay as you go, on demand offering. And in five short months, we have well over a thousand subscribers. And what this does, is it really reduces the barriers to entry. It's low friction. So anybody in an enterprise or startup or public sector company can start to use Databricks on AWS, in a consumption based model, and have it go against their monthly bill. And so we see customers, you know, doing rapid experimentation, pilots, POCs. They're really learning the value of that first, use case. And then we see rapid use case expansion. And the third aspect is the consulting partner, private offer, CPPO. Super important in how we involve our partner ecosystem of our consulting partners and our resellers that are able to work with Databricks on behalf of customers. >> So you got the big contracts with the private offer. You got the product market fit, kind of people iterating with data, coming in with the buyers you get. And obviously the integration piece all fitting in there. >> Exactly. >> Okay, so those are the offers, that's current, what's in marketplace today. Is that the products... What are people buying? >> Yeah. >> I mean, I guess what's the... Joel, what are people buying in the marketplace? And what does it mean for them? >> So fundamentally what they're buying is the ability to take silos out of their organization. And that is the problem that Databricks is out there to solve. Which is, when you look across your data landscape today, you've got unstructured data, you've got structured data, you've got real time streaming data. And your teams are trying to use all of this data to solve really complicated problems. And as Databricks, as the Lakehouse Company, what we're helping customers do is, how do they get into the new world? How do they move to a place where they can use all of that data across all of their teams? And so we allow them to begin to find, through the marketplace, those rapid adoption use cases where they can get rid of these data warehousing, data lake silos they've had in the past. Get their unstructured and structured data onto one data platform, an open data platform, that is no longer adherent to any proprietary formats and standards and something they can, very much, very easily, integrate into the rest of their data environment. Apply one common data governance layer on top of that. So that from the time they ingest that data, to the time they use that data, to the time they share that data, inside and outside of their organization, they know exactly how it's flowing. They know where it came from. They know who's using it. They know who has access to it. They know how it's changing. And then with that common data platform, with that common governance solution, they'd being able to bring all of those use cases together. Across their real time streaming, their data engineering, their BI, their AI. All of their teams working on one set of data. And that lets them move really, really fast. And it also lets them solve challenges they just couldn't solve before. A good example of this, you know, one of the world's now largest data streaming platforms runs on Databricks with AWS. And if you think about what does it take to set that up? Well, they've got all this customer data that was historically inside of data warehouses. That they have to understand who their customers are. They have all this unstructured data, they've built their data science model, so they can do the right kinds of recommendation engines and forecasting around. And then they've got all this streaming data going back and forth between click stream data, from what the customers are doing with their platform and the recommendations they want to push back out. And if those teams were all working in individual silos, building these kinds of platforms would be extraordinarily slow and complex. But by building it on Databricks, they were able to release it in record time and have grown at a record pace to now be the number one platform. >> And this product, it's impacting product development. >> Absolutely. >> I mean, this is like the difference between lagging months of product development, to like days. >> Yes. >> Pretty much what you're getting at. >> Yes. >> So total agility. >> Mm-hmm. >> I got that. Okay, now, I'm a customer I want to buy in the marketplace, but you got direct Salesforce up there. So how do you guys look at this? Is there channel conflict? Are there comp programs? Because one of the things I heard today in on the stage from AWS's leadership, Chris, was up there speaking, and Mona was, "Hey, he's a CRO conference chief revenue officer" conversation. Which means someone's getting compensated. So, if I'm the sales rep at Databricks, what's my motion to the customer? Do I get paid? Does Amazon sell it? Take us through that. Is there channel conflict? Or, how do you handle it? >> Well, I'd add what Joel just talked about with, you know, with the solution, the value of the solution our entire offering is available on AWS marketplace. So it's not a subset, it's the entire Data Bricks offering. And- >> The flagship, all the, the top stuff. >> Everything, the flagship, the complete offering. So it's not segmented. It's not a sub segment. >> Okay. >> It's, you know, you can use all of our different offerings. Now when it comes to seller compensation, we view this two different ways, right? One is that AWS is also incented, right? Versus selling a native service to recommend Databricks for the right situation. Same thing with Databricks, our sales force wants to do the right thing for the customer. If the customer wants to use marketplace as their procurement vehicle. And that really helps customers because if you get Databricks and five other ISVs together, and let's say each ISV is spending, you're spending a million dollars. You have $5 million of spend. You put that spend through the flywheel with AWS marketplace, and then you can use that in your negotiations with AWS to get better pricing overall. So that's how we view it. >> So customers are driving. This sounds like. >> Correct. For sure. >> So they're looking at this as saying, Hey, I'm going to just get purchasing power with all my relationships. Because it's a solution architectural market, right? >> Yeah. It makes sense. Because if most customers will have a primary and secondary cloud provider. If they can consolidate, you know, multiple ISV spend through that same primary provider, you get pricing power. >> Okay, Joel, we're going to date ourselves. At least I will. So back in the old days, (group laughter) It used to be, do a Barney deal with someone, Hey, let's go to market together. You got to get paper, you do a biz dev deal. And then you got to say, okay, now let's coordinate our sales teams, a lot of moving parts. So what you're getting at here is that the alternative for Databricks, or any company is, to go find those partners and do deals, versus now Amazon is the center point for the customer. So you can still do those joint deals, but this seems to be flipping the script a little bit. >> Well, it is, but we still have vars and consulting partners that are doing implementation work. Very valuable work, advisory work, that can actually work with marketplace through the CPPO offering. So the marketplace allows multiple ways to procure your solution. >> So it doesn't change your business structure. It just makes it more efficient. >> That's correct. >> That's a great way to say it. >> Yeah, that's great. >> Okay. So, that's it. So that's just makes it more efficient. So you guys are actually incented to point customers to the marketplace. >> Yes. >> Absolutely. >> Economically. >> Economically, it's the right thing to do for the customer. It's the right thing to do for our relationship with Amazon. Especially when it comes back to co-selling, right? Because Amazon now is leaning in with ISVs and making recommendations for, you know, an ISV solution. And our teams are working backwards from those use cases, you know, to collaborate and land them. >> Yeah. I want to get that out there. Go ahead, Joel. >> So one of the other things I might add to that too, you know, and why this is advantageous for companies like Databricks to work through the marketplace. Is it makes it so much easier for customers to deploy a solution. It's very, literally, one click through the marketplace to get Databricks stood up inside of your environment. And so if you're looking at how do I help customers most rapidly adopt these solutions in the AWS cloud, the marketplace is a fantastic accelerator to that. >> You know, it's interesting. I want to bring this up and get your reaction to it because to me, I think this is the future of procurement. So from a procurement standpoint, I mean, again, dating myself, EDI back in the old days, you know, all that craziness. Now this is all the internet, basically through the console. I get the infrastructure side, you know, spin up and provision some servers, all been good. You guys have played well there in the marketplace. But now as we get into more of what I call the business apps, and they brought this up on stage. A little nuanced. Most enterprises aren't yet there of integrating tech, on the business apps, into the stack. This is where I think you guys are a use case of success where you guys have been successful with data integration. It's an integrators dilemma, not an innovator's dilemma. So like, I want to integrate. So now I have integration points with Databricks, but I want to put an app in there. I want to provision an application, but it has to be built. It's not, you don't buy it. You build, you got to build stuff. And this is the nuance. What's your reaction to that? Am I getting this right? Or am I off because, no one's going to be buying software like they used to. They buy software to integrate it. >> Yeah, no- >> Because everything's integrated. >> I think AWS has done a great job at creating a partner ecosystem, right? To give customers the right tools for the right jobs. And those might be with third parties. Databricks is doing the same thing with our partner connect program, right? We've got customer partners like Five Tran and DBT that, you know, augment and enhance our platform. And so you're looking at multi ISV architectures and all of that can be procured through the AWS marketplace. >> Yeah. It's almost like, you know, bundling and un bundling. I was talking about this with, with Dave Alante about Supercloud. Which is why wouldn't a customer want the best solution in their architecture? Period. In its class. If someone's got API security or an API gateway. Well, you know, I don't want to be forced to buy something because it's part of a suite. And that's where you see things get sub optimized. Where someone dominates a category and they have, oh, you got to buy my version of this. >> Joel and I were talking, we were actually saying, what's really important about Databricks, is that customers control the data, right? You want to comment on that? >> Yeah. I was going to say, you know, what you're pushing on there, we think is extraordinarily, you know, the way the market is going to go. Is that customers want a lot of control over how they build their data stack. And everyone's unique in what tools are the right ones for them. And so one of the, you know, philosophically, I think, really strong places, Databricks and AWS have lined up, is we both take an approach that you should be able to have maximum flexibility on the platform. And as we think about the Lakehouse, one thing we've always been extremely committed to, as a company, is building the data platform on an open foundation. And we do that primarily through Delta Lake and making sure that, to Jack's point, with Databricks, the data is always in your control. And then it's always stored in a completely open format. And that is one of the things that's allowed Databricks to have the breadth of integrations that it has with all the other data tools out there. Because you're not tied into any proprietary format, but instead are able to take advantage of all the innovation that's happening out there in the open source ecosystem. >> When you see other solutions out there that aren't as open as you guys, you guys are very open by the way, we love that too. We think that's a great strategy, but what am I foreclosing if I go with something else that's not as open? What's the customer's downside as you think about what's around the corner in the industry? Because if you believe it's going to be open, open source, which I think open source software is the software industry, and integration is a big deal. Because software's going to be plentiful. >> Sure. >> Let's face it. It's a good time to be in software business. But Cloud's booming. So what's the downside, from your Databricks perspective? You see a buyer clicking on Databricks versus that alternative. What's potentially should they be a nervous about, down the road, if they go with a more proprietary or locked in approach? >> Yeah. >> Well, I think the challenge with proprietary ecosystems is you become beholden to the ability of that provider to both build relationships and convince other vendors that they should invest in that format. But you're also, then, beholden to the pace at which that provider is able to innovate. >> Mm-hmm. >> And I think we've seen lots of times over history where, you know, a proprietary format may run ahead, for a while, on a lot of innovation. But as that market control begins to solidify, that desire to innovate begins to degrade. Whereas in the open formats- >> So extract rents versus innovation. (John laughs) >> Exactly. Yeah, exactly. >> I'll say it. >> But in the open world, you know, you have to continue to innovate. >> Yeah. >> And the open source world is always innovating. If you look at the last 10 to 15 years, I challenge you to find, you know, an example where the innovation in the data and AI world is not coming from open source. And so by investing in open ecosystems, that means you are always going to be at the forefront of what is the latest. >> You know, again, not to date myself again, but you look back at the eighties and nineties, the protocol stacked with proprietary. >> Yeah. >> You know, SNA and IBM, deck net was digital. You know the rest. And then TCPIP was part of the open systems interconnect. >> Mm-hmm. >> Revolutionary (indistinct) a big part of that, as well as my school did. And so like, you know, that was, but it didn't standardize the whole stack. It stopped at IP and TCP. >> Yeah. >> But that helped inter operate, that created a nice defacto. So this is a big part of this mid game. I call it the chessboard, you know, you got opening game and mid-game, then you get the end game. You're not there at the end game yet at Cloud. But Cloud- >> There's, always some form of lock in, right? Andy Jazzy will address it, you know, when making a decision. But if you're going to make a decision you want to reduce- You don't want to be limited, right? So I would advise a customer that there could be limitations with a proprietary architecture. And if you look at what every customer's trying to become right now, is an AI driven business, right? And so it has to do with, can you get that data out of silos? Can you organize it and secure it? And then can you work with data scientists to feed those models? >> Yeah. >> In a very consistent manner. And so the tools of tomorrow will, to Joel's point, will be open and we want interoperability with those tools. >> And choice is a matter too. And I would say that, you know, the argument for why I think Amazon is not as locked in as maybe some other clouds, is that they have to compete directly too. Redshift competes directly with a lot of other stuff. But they can't play the bundling game because the customers are getting savvy to the fact that if you try to bundle an inferior product with something else, it may not work great at all. And they're going to be, they're onto it. This is the- >> To Amazon's credit by having these solutions that may compete with native services in marketplace, they are providing customers with choice, low price- >> And access to the core value. Which is the hardware- >> Exactly. >> Which is their platform. Okay. So I want to get you guys thought on something else I see emerging. This is, again, kind of Cube rumination moment. So on stage, Chris unpacked a lot of stuff. I mean this marketplace, they're touching a lot of hot buttons here, you know, pricing, compensation, workflows, services behind the curtain. And one of those things he mentioned was, they talk about resellers or channel partners, depending upon what you talk about. We believe, Dave and I believe on the Cube, that the entire indirect sales channel of the industry is going to be disrupted radically. Because those players were selling hardware in the old days and software. That game is going to change. You mentioned you guys have a program, let me get your thoughts on this. We believe that once this gets set up, they can play in this game and bring their services in. Which means that the old reseller channels are going to be rewritten. They're going to be refactored with this new kinds of access. Because you've got scale, you've got money and you've got product. And you got customers coming into the marketplace. So if you're like a reseller that sold computers to data centers or software, you know, a value added reseller or VAB or business. >> You've got to evolve. >> You got to, you got to be here. >> Yes. >> Yeah. >> How are you guys working with those partners? Because you say you have a product in your marketplace there. How do I make money if I'm a reseller with Databricks, with Amazon? Take me through that use case. >> Well I'll let Joel comment, but I think it's pretty straightforward, right? Customers need expertise. They need knowhow. When we're seeing customers do mass migrations to the cloud or Hadoop specific migrations or data transformation implementations. They need expertise from consulting and SI partners. If those consulting and SI partners happen to resell the solution as well. Well, that's another aspect of their business. But I really think it is the expertise that the partners bring to help customers get outcomes. >> Joel, channel big opportunity for Amazon to reimagine this. >> For sure. Yeah. And I think, you know, to your comment about how do resellers take advantage of that, I think what Jack was pushing on is spot on. Which is, it's becoming more and more about the expertise you bring to the table. And not just transacting the software. But now actually helping customers make the right choices. And we're seeing, you know, both SIs begin to be able to resell solutions and finding a lot of opportunity in that. >> Yeah. And I think we're seeing traditional resellers begin to move into that SI model as well. And that's going to be the evolution that this goes. >> At the end of the day, it's about services, right? >> For sure. Yeah. >> I mean... >> You've got a great service. You're going to have high gross profits. >> Yeah >> Managed service provider business is alive and well, right? Because there are a number of customers that want that type of a service. >> I think that's going to be a really hot, hot button for you guys. I think being the way you guys are open, this channel, partner services model coming in, to the fold, really kind of makes for kind of that Supercloud like experience, where you guys now have an ecosystem. And that's my next question. You guys have an ecosystem going on, within Databricks. >> For sure. >> On top of this ecosystem. How does that work? This is kind of like, hasn't been written up in business school and case studies yet. This is new. What is this? >> I think, you know, what it comes down to is, you're seeing ecosystems begin to evolve around the data platforms. And that's going to be one of the big, kind of, new horizons for us as we think about what drives ecosystems. It's going to be around, well, what's the data platform that I'm using? And then all the tools that have to encircle that to get my business done. And so I think there's, you know, absolutely ecosystems inside of the AWS business on all of AWS's services, across data analytics and AI. And then to your point, you are seeing ecosystems now arise around Databricks in its Lakehouse platform as well. As customers are looking at well, if I'm standing these Lakehouses up and I'm beginning to invest in this, then I need a whole set of tools that help me get that done as well. >> I mean you think about ecosystem theory, we're living a whole nother dream. And I'm not kidding. It hasn't yet been written up and for business school case studies is that, we're now in a whole nother connective tissue, ecology thing happening. Where you have dependencies and value proposition. Economics, connectedness. So you have relationships in these ecosystems. >> And I think one of the great things about the relationships with these ecosystems, is that there's a high degree of overlap. >> Yeah. >> So you're seeing that, you know, the way that the cloud business is evolving, the ecosystem partners of Databricks, are the same ecosystem partners of AWS. And so as you build these platforms out into the cloud, you're able to really take advantage of best of breed, the broadest set of solutions out there for you. >> Joel, Jack, I love it because you know what it means? The best ecosystem will win, if you keep it open. >> Sure, sure. >> You can see everything. If you're going to do it in the dark, you know, you don't know the outcome. I mean, this is really kind of what we're talking about. >> And John, can I just add that when I was at Amazon, we had a theory that there's buyers and builders, right? There's very innovative companies that want to build things themselves. We're seeing now that that builders want to buy a platform. Right? >> Yeah. >> And so there's a platform decision being made and that ecosystem is going to evolve around the platform. >> Yeah, and I totally agree. And the word innovation gets kicked around. That's why, you know, when we had our Supercloud panel, it was called the innovators dilemma, with a slash through it, called the integrater's dilemma. Innovation is the digital transformation. So- >> Absolutely. >> Like that becomes cliche in a way, but it really becomes more of a, are you open? Are you integrating? If APIs are connective tissue, what's automation, what's the service messages look like? I mean, a whole nother set of, kind of thinking, goes on in these new ecosystems and these new products. >> And that thinking is, has been born in Delta Sharing, right? So the idea that you can have a multi-cloud implementation of Databricks, and actually share data between those two different clouds, that is the next layer on top of the native cloud solution. >> Well, Databricks has done a good job of building on top of the goodness of, and the CapEx gift from AWS. But you guys have done a great job taking that building differentiation into the product. You guys have great customer base, great growing ecosystem. And again, I think a shining example of what every enterprise is going to do. Build on top of something, operating model, get that operating model, driving revenue. >> Mm-hmm. >> Yeah. >> Whether, you're Goldman Sachs or capital one or XYZ corporation. >> S and P global, NASDAQ. >> Yeah. >> We've got, you know, the biggest verticals in the world are solving tough problems with Databricks. I think we'd be remiss because if Ali was here, he would really want to thank Amazon for all of the investments across all of the different functions. Whether it's the relationship we have with our engineering and service teams. Our marketing teams, you know, product development. And we're going to be at Reinvent. A big presence at Reinvent. We're looking forward to seeing you there, again. >> Yeah. We'll see you guys there. Yeah. Again, good ecosystem. I love the ecosystem evolutions happening. This NextGen Cloud is here. We're seeing this evolve, kind of new economics, new value propositions kind of scaling up. Producing more. So you guys are doing a great job. Thanks for coming on the Cube and taking the time. Joel, great to see you at the check. >> Thanks for having us, John. >> Okay. Cube coverage here. The world's changing as APN comes together with the marketplace for a new partner organization at Amazon web services. The Cube's got it covered. This should be a very big, growing ecosystem as this continues. Billions of being sold through the marketplace. And of course the buyers are happy as well. So we've got it all covered. I'm John Furry. your host of the cube. Thanks for watching. (upbeat music)

>>Welcome back everyone to the cubes coverage here in Seattle, Washington, AWS's marketplace seller conference. It's the big news within the Amazon partner network, combining with marketplaces, forming the Amazon partner organization, part of a big reorg as they grow the next level NextGen cloud mid-game on the chessboard. Cube's got cover. I'm John fur, host of Cub, a great guests here from data bricks, both cube alumnis, Jack Anderson, GM of the and VP of the data bricks partnership team. For ADOS, you handle that relationship and Joel Minick vice president of product and partner marketing. You guys are the, have the keys to the kingdom with data, bricks, and AWS. Thanks for joining. Thanks for good to see you again. Thanks for >>Having us back. Yeah, John, great to be here. >>So I feel like we're at reinvent 2013 small event, no stage, but there's a real shift happening with procurement. Obviously it makes it's a no brainer on the micro, you know, people should be buying online self-service cloud scale, but Amazon's got billions being sold to their marketplace. They've reorganized their partner network. You can see kind of what's going on. They've kind of figured it out. Like let's put everything together and simplify and make it less of a website marketplace merge our partner to have more synergy and friction, less experiences so everyone can make more money and customer's gonna be happier. >>Yeah, that's right. >>I mean, you're run relationship. You're in the middle of it. >>Well, Amazon's mental model here is that they want the world's best ISVs to operate on AWS so that we can collaborate and co architect on behalf of customers. And that's exactly what the APO and marketplace allow us to do is to work with Amazon on these really, you know, unique use cases. >>You know, I interviewed Ali many times over the years. I remember many years ago, I think six, maybe six, seven years ago, we were talking. He's like, we're all in ons. Obviously. Now the success of data bricks, you've got multiple clouds. See that customers have choice, but I remember the strategy early on. It was like, we're gonna be deep. So this is speaks volumes to the, the relationship you have years. Jack take us through the relationship that data bricks has with AWS from a, from a partner perspective, Joel, and from a product perspective, because it's not like you got to Johnny come lately new to the new, to the scene, right? We've been there almost president creation of this wave. What's the relationship and has it relate to what's going on today? >>So, so most people may not know that data bricks was born on AWS. We actually did our first 100 million of revenue on Amazon. And today we're obviously available on multiple clouds, but we're very fond of our Amazon relationship. And when you look at what the APN allows us to do, you know, we're able to expand our reach and co-sell with Amazon and marketplace broadens our reach. And so we think of marketplace in three different aspects. We've got the marketplace, private offer business, which we've been doing for a number of years. Matter of fact, we we're driving well over a hundred percent year over year growth in private offers and we have a nine figure business. So it's a very significant business. And when a customer uses a private offer that private offer counts against their private pricing agreement with AWS. So they get pricing power against their, their private pricing. >>So it's really important. It goes on their Amazon bill in may. We launched our pay as you go on demand offering. And in five short months, we have well over a thousand subscribers. And what this does is it really reduces the barriers to entry it's low friction. So anybody in an enterprise or startup or public sector company can start to use data bricks on AWS and pay consumption based model and have it go against their monthly bill. And so we see customers, you know, doing rapid experimentation pilots, POCs, they're, they're really learning the value of that first use case. And then we see rapid use case expansion. And the third aspect is the consulting partner, private offers C P O super important in how we involve our partner ecosystem of our consulting partners and our resellers that are able to work with data bricks on behalf of customers. >>So you got the big contracts with the private offer. You got the product market fit, kind of people iterating with data coming in with, with the buyers you go. And obviously the integration piece all fitting in there. Exactly. Exactly. Okay. So that's that those are the offers that's current and what's in marketplace today. Is that the products, what are, what are people buying? I mean, I guess what's the Joel, what are, what are people buying in the marketplace and what does it mean for >>Them? So fundamentally what they're buying is the ability to take silos out of their organization. And that's, that is the problem that data bricks is out there to solve, which is when you look across your data landscape today, you've got unstructured data, you've got structured data, you've got real time streaming data, and your teams are trying to use all of this data to solve really complicated problems. And as data bricks as the lake house company, what we're helping customers do is how do they get into the new world? How do they move to a place where they can use all of that data across all of their teams? And so we allow them to begin to find through the marketplace, those rapid adoption use cases where they can get rid of these data, warehousing data lake silos they've had in the past, get their unstructured and structured data onto one data platform and open data platform that is no longer adherent to any proprietary formats and standards and something. >>They can very much, very easily integrate into the rest of their data environment, apply one common data governance layer on top of that. So that from the time they ingest that data to the time they use that data to the time they share that data inside and outside of their organization, they know exactly how it's flowing. They know where it came from. They know who's using it. They know who has access to it. They know how it's changing. And then with that common data platform with that common governance solution, they'd being able to bring all of those use cases together across their real time, streaming their data engineering, their BI, their AI, all of their teams working on one set of data. And that lets them move really, really fast. And it also lets them solve challenges. They just couldn't solve before a good example of this, you know, one of the world's now largest data streaming platforms runs on data bricks with AWS. >>And if you think about what does it take to set that up? Well, they've got all this customer data that was historically inside of data warehouses, that they have to understand who their customers are. They have all this unstructured data, they've built their data science model, so they can do the right kinds of recommendation engines and forecasting around. And then they've got all this streaming data going back and forth between click stream data from what the customers are doing with their platform and the recommendations they wanna push back out. And if those teams were all working in individual silos, building these kinds of platforms would be extraordinarily slow and complex, but by building it on data bricks, they were able to release it in record time and have grown at, at record pace >>To not be that's product platform that's impacting product development. Absolutely. I mean, this is like the difference between lagging months of product development to like days. Yes. Pretty much what you're getting at. Yeah. So total agility. I got that. Okay. Now I'm a customer I wanna buy in the marketplace, but I also, you got direct Salesforce up there. So how do you guys look at this? Is there channel conflict? Are there comp programs? Because one of the things I heard today in on the stage from a Davis's leadership, Chris was up there speaking and, and, and moment I was, Hey, he's a CRO conference, chief revenue officer conversation, which means someone's getting compensated. So if I'm the sales rep at data bricks, what's my motion to the customer. Do I get paid? Does Amazon sell it? Take us through that. Is there channel conflict? Is there or an audio lift? >>Well, I I'd add what Joel just talked about with, with, you know, what the solution, the value of the solution our entire offering is available on AWS marketplace. So it's not a subset, the entire data bricks offering and >>The flagship, all the, the top, >>Everything, the flagship, the complete offering. So it's not, it's not segmented. It's not a sub segment. It's it's, you know, you can use all of our different offerings. Now when it comes to seller compensation, we, we, we view this two, two different ways, right? One is that AWS is also incented, right? Versus selling a native service to recommend data bricks for the right situation. Same thing with data bricks. Our Salesforce wants to do the right thing for the customer. If the customer wants to use marketplace as their procurement vehicle. And that really helps customers because if you get data bricks and five other ISVs together, and let's say each ISV is spending, you're spending a million dollars, you have $5 million of spend, you put that spend through the flywheel with AWS marketplace. And then you can use that in your negotiations with AWS to get better pricing overall. So that's how we, >>We do it. So customers are driving. This sounds like, correct. For sure. So they're looking at this as saying, Hey, I'm gonna just get purchasing power with all my relationships because it's a solution architectural market, right? >>Yeah. It makes sense. Because if most customers will have a primary and secondary cloud provider, if they can consolidate, you know, multiple ISV spend through that same primary provider, you get pricing >>Power, okay, Jill, we're gonna date ourselves. At least I will. So back in the old days, it used to be, do a Barney deal with someone, Hey, let's go to market together. You gotta get paper, you do a biz dev deal. And then you gotta say, okay, now let's coordinate our sales teams, a lot of moving parts. So what you're getting at here is that the alternative for data bricks or any company is to go find those partners and do deals versus now Amazon is the center point for the customer so that you can still do those joint deals. But this seems to be flipping the script a little bit. >>Well, it is, but we still have VAs and consulting partners that are doing implementation work very valuable work advisory work that can actually work with marketplace through the C PPO offering. So the marketplace allows multiple ways to procure your >>Solution. So it doesn't change your business structure. It just makes it more efficient. That's >>Correct. >>That's a great way to say it. Yeah, >>That's great. So that's so that's it. So that's just makes it more efficient. So you guys are actually incented to point customers to the marketplace. >>Yes, >>Absolutely. Economically. Yeah. >>E economically it's the right thing to do for the customer. It's the right thing to do for our relationship with Amazon, especially when it comes back to co-selling right? Because Amazon now is leaning in with ISVs and making recommendations for, you know, an ISV solution and our teams are working backwards from those use cases, you know, to collaborate, land them. >>Yeah. I want, I wanna get that out there. Go ahead, Joel. >>So one of the other things I might add to that too, you know, and why this is advantageous for, for companies like data bricks to, to work through the marketplace, is it makes it so much easier for customers to deploy a solution. It's, it's very, literally one click through the marketplace to get data bricks stood up inside of your environment. And so if you're looking at how do I help customers most rapidly adopt these solutions in the AWS cloud, the marketplace is a fantastic accelerator to that. You >>Know, it's interesting. I wanna bring this up and get your reaction to it because to me, I think this is the future of procurement. So from a procurement standpoint, I mean, again, dating myself EDI back in the old days, you know, all that craziness. Now this is all the, all the internet, basically through the console, I get the infrastructure side, you know, spin up and provision. Some servers, all been good. You guys have played well there in the marketplace. But now as we get into more of what I call the business apps, and they brought this up on stage little nuance, most enterprises aren't yet there of integrating tech on the business apps, into the stack. This is where I think you guys are a use case of success where you guys have been successful with data integration. It's an integrator's dilemma, not an innovator's dilemma. So like, I want to integrate, so now I have integration points with data bricks, but I want to put an app in there. I want to provision an application, but it has to be built. It's not, you don't buy it. You build, you gotta build stuff. And this is the nuance. What's your reaction to that? Am I getting this right? Or, or am I off because no, one's gonna be buying software. Like they used to, they buy software to integrate it. >>Yeah, >>No, I, cause everything's integrated. >>I think AWS has done a great job at creating a partner ecosystem, right. To give customers the right tools for the right jobs. And those might be with third parties, data bricks is doing the same thing with our partner connect program. Right. We've got customer, customer partners like five tra and D V T that, you know, augment and enhance our platform. And so you, you're looking at multi ISV architectures and all of that can be procured through the AWS marketplace. >>Yeah. It's almost like, you know, bundling and unbundling. I was talking about this with, with Dave ante about Supercloud, which is why wouldn't a customer want the best solution in their architecture period. And it's class. If someone's got API security or an API gateway. Well, you know, I don't wanna be forced to buy something because it's part of a suite and that's where you see things get suboptimized where someone dominates a category and they have, oh, you gotta buy my version of this. Yeah. >>Joel, Joel. And that's Joel and I were talking, we're actually saying what what's really important about Databricks is that customers control the data. Right? You wanna comment on that? >>Yeah. I was say the, you know what you're pushing on there we think is extraordinarily, you know, the way the market is gonna go is that customers want a lot of control over how they build their data stack. And everyone's unique in what tools are the right ones for them. And so one of the, you know, philosophically I think really strong places, data, bricks, and AWS have lined up is we both take an approach that you should be able to have maximum flexibility on the platform. And as we think about the lake house, one thing we've always been extremely committed to as a company is building the data platform on an open foundation. And we do that primarily through Delta lake and making sure that to Jack's point with data bricks, the data is always in your control. And then it's always stored in a completely open format. And that is one of the things that's allowed data bricks to have the breadth of integrations that it has with all the other data tools out there, because you're not tied into any proprietary format, but instead are able to take advantage of all the innovation that's happening out there in the open source ecosystem. >>When you see other solutions out there that aren't as open as you guys, you guys are very open by the way, we love that too. We think that's a great strategy, but what's the, what am I foreclosing? If I go with something else that's not as open what what's the customer's downside as you think about what's around the corner in the industry. Cuz if you believe it's gonna be open, open source, which I think opens our software is the software industry and integration is a big deal, cuz software's gonna be plentiful. Let's face it. It's a good time to be in software business, but cloud's booming. So what's the downside from your data bricks perspective, you see a buyer clicking on data bricks versus that alternative what's potentially is should they be a nervous about down the road if they go with a more proprietary or locked in approach? Well, >>I think the challenge with proprietary ecosystems is you become beholden to the ability of that provider to both build relationships and convince other vendors that they should invest in that format. But you're also then beholden to the pace at which that provider is able to innovate. And I think we've seen lots of times over history where, you know, a proprietary format may run ahead for a while on a lot of innovation. But as that market control begins to solidify that desire to innovate begins to, to degrade, whereas in the open format. So >>Extract rents versus innovation. Exactly. >>Yeah, exactly. >>But >>I'll say it in the open world, you know, you have to continue to innovate. Yeah. And the open source world is always innovating. If you look at the last 10 to 15 years, I challenge you to find, you know, an example where the innovation in the data and AI world is not coming from open source. And so by investing in open ecosystems, that means you were always going to be at the forefront of what is the >>Latest, you know, again, not to date myself again, but you look back at the eighties and nineties, the protocol stacked for proprietary. Yeah. You know, SNA at IBM deck net was digital, you know, the rest is, and then TCP, I P was part of the open systems, interconnect, revolutionary Oly, a big part of that as well as my school did. And so like, you know, that was, but it didn't standardize the whole stack. It stopped at IP and TCP. Yeah. But that helped interoperate, that created a nice defacto. So this is a big part of this mid game. I call it the chessboard, you know, you got opening game and mid game. Then you got the end game and we're not there. The end game yet cloud the cloud. >>There's, there's always some form of lock in, right. Andy jazzy will, will address it, you know, when making a decision. But if you're gonna make a decision you want to reduce as you don't wanna be limited. Right. So I would advise a customer that there could be limitations with a proprietary architecture. And if you look at what every customer's trying to become right now is an AI driven business. Right? And so it has to do with, can you get that data outta silos? Can you, can you organize it and secure it? And then can you work with data scientists to feed those models? Yeah. In a, in a very consistent manner. And so the tools of tomorrow will to Joel's point will be open and we want interoperability with those >>Tools and, and choice is a matter too. And I would say that, you know, the argument for why I think Amazon is not as locked in as maybe some other clouds is that they have to compete directly too. Redshift competes directly with a lot of other stuff, but they can't play the bundling game because the customers are getting savvy to the fact that if you try to bundle an inferior product with something else, it may not work great at all. And they're gonna be they're onto it. This is >>The Amazon's credit by having these, these solutions that may compete with native services in marketplace, they are providing customers with choice, low >>Price and access to the S and access to the core value. Exactly. Which the >>Hardware, which is their platform. Okay. So I wanna get you guys thought on something else. I, I see emerging, this is again kind of cube rumination moment. So on stage Chris unpacked, a lot of stuff. I mean this marketplace, they're touching a lot of hot buttons here, you know, pricing compensation, workflows services behind the curtain. And one of the things he mentioned was they talk about resellers or channel partners, depending upon what you talk about. We believe Dave and I believe on the cube that the entire indirect sales channel of the industry is gonna be disrupted radically because those players were selling hardware in the old days and software, that game is gonna change. You know, you mentioned you guys have a program, want to get your thoughts on this. We believe that once this gets set up, they can play in this game and bring their services in which means that the old reseller channels are gonna be rewritten. They're gonna be refactored with this new kinds of access. Cuz you've got scale, you've got money and you've got product and you got customers coming into the marketplace. So if you're like a reseller that sold computers to data centers or software, you know, value added reseller or V or business, >>You've gotta evolve. >>You gotta, you gotta be here. Yes. How are you guys working with those partners? Cuz you say you have a part in your marketplace there. How do I make money? If I'm a reseller with data bricks with eight Amazon, take me through that use case. >>Well I'll let Joel comment, but I think it's, it's, it's pretty straightforward, right? Customers need expertise. They need knowhow. When we're seeing customers do mass migrations to the cloud or Hadoop specific migrations or data transformation implementations, they need expertise from consulting and SI partners. If those consulting SI partners happen to resell the solution as well. Well, that's another aspect of their business, but I really think it is the expertise that the partners bring to help customers get outcomes. >>Joel, channel big opportunity for re re Amazon to reimagine this. >>For sure. Yeah. And I think, you know, to your comment about how to resellers take advantage of that, I think what Jack was pushing on is spot on, which is it's becoming more about more and more about the expertise you bring to the table and not just transacting the software, but now actually helping customers make the right choices. And we're seeing, you know, both SI begin to be able to resell solutions and finding a lot of opportunity in that. Yeah. And I think we're seeing traditional resellers begin to move into that SI model as well. And that's gonna be the evolution that >>This gets at the end of the day. It's about services for sure, for sure. You've got a great service. You're gonna have high gross profits. And >>I think that the managed service provider business is alive and well, right? Because there are a number of customers that want that, that type of a service. >>I think that's gonna be a really hot, hot button for you guys. I think being the way you guys are open this channel partner services model coming in to the fold really kind of makes for kind of that super cloudlike experience where you guys now have an ecosystem. And that's my next question. You guys have an ecosystem going on within data bricks for sure. On top of this ecosystem, how does that work? This is kinda like hasn't been written up in business school and case studies yet this is new. What is this? >>I think, you know, what it comes down to is you're seeing ecosystems begin to evolve around the data platforms and that's gonna be one of the big kind of new horizons for us as we think about what drives ecosystems it's going to be around. Well, what is the, what's the data platform that I'm using and then all the tools that have to encircle that to get my business done. And so I think there's, you know, absolutely ecosystems inside of the AWS business on all of AWS's services, across data analytics and AI. And then to your point, you are seeing ecosystems now arise around data bricks in its Lakehouse platform, as well as customers are looking at well, if I'm standing these Lakehouse up and I'm beginning to invest in this, then I need a whole set of tools that help me get that done as well. >>I mean you think about ecosystem theory, we're living a whole nother dream and I'm, and I'm not kidding. It hasn't yet been written up and for business school case studies is that we're now in a whole nother connective tissue ecology thing happening where you have dependencies and value proposition economics connectedness. So you have relationships in these ecosystems. >>And I think one of the great things about relationships with these ecosystems is that there's a high degree of overlap. Yeah. So you're seeing that, you know, the way that the cloud business is evolving, the, the ecosystem partners of data bricks are the same ecosystem partners of AWS. And so as you build these platforms out into the cloud, you're able to really take advantage of best of breed, the broadest set of solutions out there for >>You. Joel, Jack, I love it because you know what it means the best ecosystem will win. If you keep it open. Sure. You can see everything. If you're gonna do it in the dark, you know, you don't know the outcome. I mean, this is really kind we're talking about. >>And John, can I just add that when I was in Amazon, we had a, a theory that there's buyers and builders, right? There's very innovative companies that want to build things themselves. We're seeing now that that builders want to buy a platform. Right? Yeah. And so there's a platform decision being made and that ecosystem gonna evolve around the >>Platform. Yeah. And I totally agree. And, and, and the word innovation get kicks around. That's why, you know, when we had our super cloud panel was called the innovators dilemma with a slash through it called the integrated dilemma, innovation is the digital transformation. So absolutely like that becomes cliche in a way, but it really becomes more of a, are you open? Are you integrating if APIs are the connective tissue, what's automation, what's the service message look like. I mean, a whole nother set of kind of thinking goes on and these new ecosystems and these new products >>And that, and that thinking is, has been born in Delta sharing. Right? So the idea that you can have a multi-cloud implementation of data bricks, and actually share data between those two different clouds, that is the next layer on top of the native cloud >>Solution. Well, data bricks has done a good job of building on top of the goodness of, and the CapEx gift from AWS. But you guys have done a great job taking that building differentiation into the product. You guys have great customer base, great grow ecosystem. And again, I think in a shining example of what every enterprise is going to do, build on top of something operating model, get that operating model, driving revenue. >>Yeah. >>Well we, whether whether you're Goldman Sachs or capital one or XYZ corporation >>S and P global NASDAQ, right. We've got, you know, these, the biggest verticals in the world are solving tough problems with data breaks. I think we'd be remiss cuz if Ali was here, he would really want to thank Amazon for all of the investments across all of the different functions, whether it's the relationship we have with our engineering and service teams. Yeah. Our marketing teams, you know, product development and we're gonna be at reinvent the big presence of reinvent. We're looking forward to seeing you there again. >>Yeah. We'll see you guys there. Yeah. Again, good ecosystem. I love the ecosystem evolutions happening this next gen cloud is here. We're seeing this evolve kind of new economics, new value propositions kind of scaling up, producing more so you guys are doing a great job. Thanks for coming on the Cuban, taking time. Chill. Great to see you at the check. Thanks for having us. Thanks. Going. Okay. Cube coverage here. The world's changing as APN comes to give the marketplace for a new partner organization at Amazon web services, the Cube's got a covered. This should be a very big growing ecosystem as this continues, billions of being sold through the marketplace. Of course the buyers are happy as well. So we've got it all covered. I'm John furry, your host of the cube. Thanks for watching.

(upbeat music) >> Welcome back to AWS storage day. This is the Cubes continuous coverage. My name is Dave Vellante, and we're going to talk about file storage. 80% of the world's data is in unstructured storage. And most of that is in file format. Devs want infrastructure as code. They want to be able to provision and manage storage through an API, and they want that cloud agility. They want to be able to scale up, scale down, pay by the drink. And the big news of storage day was really the partnership, deep partnership between AWS and NetApp. And with me to talk about that as Ed Naim, who's the general manager of Amazon FSX and Anthony Lye, executive vice president and GM of public cloud at NetApp. Two Cube alums. Great to see you guys again. Thanks for coming on. >> Thanks for having us. >> So Ed, let me start with you. You launched FSX 2018 at re-invent. How has it being used today? >> Well, we've talked about MSX on the Cube before Dave, but let me start by recapping that FSX makes it easy to, to launch and run fully managed feature rich high performance file storage in the cloud. And we built MSX from the ground up really to have the reliability, the scalability you were talking about. The simplicity to support, a really wide range of workloads and applications. And with FSX customers choose the file system that powers their file storage with full access to the file systems feature sets, the performance profiles and the data management capabilities. And so since reinvent 2018, when we launched this service, we've offered two file system choices for customers. So the first was a Windows file server, and that's really storage built on top of Windows server designed as a really simple solution for Windows applications that require shared storage. And then Lustre, which is an open source file system that's the world's most popular high-performance file system. And the Amazon FSX model has really resonated strongly with customers for a few reasons. So first, for customers who currently managed network attached storage or NAS on premises, it's such an easy path to move their applications and their application data to the cloud. FSX works and feels like the NAZA appliances that they're used to, but added to all of that are the benefits of a fully managed cloud service. And second, for builders developing modern new apps, it helps them deliver fast, consistent experiences for Windows and Linux in a simple and an agile way. And then third, for research scientists, its storage performance and its capabilities for dealing with data at scale really make it a no-brainer storage solution. And so as a result, the service is being used for a pretty wide spectrum of applications and workloads across industries. So I'll give you a couple of examples. So there's this class of what we call common enterprise IT use cases. So think of things like end user file shares the corporate IT applications, content management systems, highly available database deployments. And then there's a variety of common line of business and vertical workloads that are running on FSX as well. So financial services, there's a lot of modeling and analytics, workloads, life sciences, a lot of genomics analysis, media and entertainment rendering and transcoding and visual effects, automotive. We have a lot of electronic control units, simulations, and object detection, semiconductor, a lot of EDA, electronic design automation. And then oil and gas, seismic data processing, pretty common workload in FSX. And then there's a class of, of really ultra high performance workloads that are running on FSX as well. Think of things like big data analytics. So SAS grid is a, is a common application. A lot of machine learning model training, and then a lot of what people would consider traditional or classic high performance computing or HPC. >> Great. Thank you for that. Just quick follow-up if I may, and I want to bring Anthony into the conversation. So why NetApp? This is not a Barney deal, this was not elbow grease going into a Barney deal. You know, I love you. You love me. We do a press release. But, but why NetApp? Why ONTAP? Why now? (momentary silence) Ed, that was to you. >> Was that a question for Anthony? >> No, for you Ed. And then I want to bring Anthony in. >> Oh, Sure. Sorry. Okay. Sure. Yeah, I mean it, uh, Dave, it really stemmed from both companies realizing a combined offering would be highly valuable to and impactful for customers. In reality, we started collaborating in Amazon and NetApp on the service probably about two years ago. And we really had a joint vision that we wanted to provide AWS customers with the full power of ONTAP. The complete ONTAP with every capability and with ONTAP's full performance, but fully managed an offer as a full-blown AWS native service. So what that would mean is that customers get all of ONTAP's benefits along with the simplicity and the agility, the scalability, the security, and the reliability of an AWS service. >> Great. Thank you. So Anthony, I have watched NetApp reinvent itself started in workstations, saw you go into the enterprise, I saw you lean into virtualization, you told me at least two years, it might've been three years ago, Dave, we are going all in on the cloud. We're going to lead this next, next chapter. And so, I want you to bring in your perspective. You're re-inventing NetApp yet again, you know, what are your thoughts? >> Well, you know, NetApp and AWS have had a very long relationship. I think it probably dates now about nine years. And what we really wanted to do in NetApp was give the most important constituent of all an experience that helped them progress their business. So ONTAP, you know, the industry's leading shared storage platform, we wanted to make sure that in AWS, it was as good as it was on premise. We love the idea of giving customers this wonderful concept of symmetry. You know, ONTAP runs the biggest applications in the largest enterprises on the planet. And we wanted to give not just those customers an opportunity to embrace the Amazon cloud, but we wanted to also extend the capabilities of ONTAP through FSX to a new customer audience. Maybe those smaller companies that didn't really purchase on premise infrastructure, people that were born in the cloud. And of course, this gives us a great opportunity to present a fully managed ONTAP within the FSX platform, to a lot of non NetApp customers, to our competitors customers, Dave, that frankly, haven't done the same as we've done. And I think we are the benefactors of it, and we're in turn passing that innovation, that, that transformation onto the, to the customers and the partners. >> You know, one is the, the key aspect here is that it's a managed service. I don't think that could be, you know, overstated. And the other is that the cloud nativeness of this Anthony, you mentioned here, our marketplace is great, but this is some serious engineering going on here. So Ed maybe, maybe start with the perspective of a managed service. I mean, what does that mean? The whole ball of wax? >> Yeah. I mean, what it means to a customer is they go into the AWS console or they go to the AWS SDK or the, the AWS CLI and they are easily able to provision a resource provision, a file system, and it automatically will get built for them. And if there's nothing that they need to do at that point, they get an endpoint that they have access to the file system from and that's it. We handle patching, we handle all of the provisioning, we handle any hardware replacements that might need to happen along the way. Everything is fully managed. So the customer really can focus not on managing their file system, but on doing all of the other things that they, that they want to do and that they need to do. >> So. So Anthony, in a way you're disrupting yourself, which is kind of what you told me a couple of years ago. You're not afraid to do that because if we don't do it, somebody else is going to do it because you're, you're used to the old days, you're selling a box and you say, we'll see you next time, you know, three or four years. So from, from your customer's standpoint, what's their reaction to this notion of a managed service and what does it mean to NetApp? >> Well, so I think the most important thing it does is it gives them investment protection. The wonderful thing about what we've built with Amazon in the FSX profile is it's a complete ONTAP. And so one ONTAP cluster on premise can immediately see and connect to an ONTAP environment under FSX. We can then establish various different connectivities. We can use snap mirror technologies for disaster recovery. We can use efficient data transfer for things like dev test and backup. Of course, the wonderful thing that we've done, that we've gone beyond, above and beyond, what anybody else has done is we want to make sure that the actual primary application itself, one that was sort of built using NAS built in an on-premise environment an SAP and Oracle, et cetera, as Ed said, that we can move those over and have the confidence to run the application with no changes on an Amazon environment. So, so what we've really done, I think for customers, the NetApp customers, the non NetApp customers, is we've given them an enterprise grade shared storage platform that's as good in an Amazon cloud as it was in an on-premise data center. And that's something that's very unique to us. >> Can we talk a little bit more about those, those use cases? You know, both, both of you. What are you seeing as some of the more interesting ones that you can share? Ed, maybe you can start. >> Yeah, happy to. The customer discussions that we've, we've been in have really highlighted four cases, four use cases the customers are telling us they'll use a service for. So maybe I'll cover two and maybe Anthony can cover the other two. So, the first is application migrations. And customers are increasingly looking to move their applications to AWS. And a lot of those are applications work with file storage today. And so we're talking about applications like SAP. We're talking about relational databases like SQL server and Oracle. We're talking about vertical applications like Epic and the healthcare space. As another example, lots of media entertainment, rendering, and transcoding, and visual effects workload. workflows require Windows, Linux, and Mac iOS access to the same set of data. And what application administrators really want is they want the easy button. They want fully featured file storage that has the same capabilities, the same performance that their applications are used to. Has extremely high availability and durability, and it can easily enable them to meet compliance and security needs with a robust set of data protection and security capabilities. And I'll give you an example, Accenture, for example, has told us that a key obstacle their clients face when migrating to the cloud is potentially re-architecting their applications to adopt new technologies. And they expect that Amazon FSX for NetApp ONTAP will significantly accelerate their customers migrations to the cloud. Then a second one is storage migrations. So storage admins are increasingly looking to extend their on-premise storage to the cloud. And why they want to do that is they want to be more agile and they want to be responsive to growing data sets and growing workload needs. They want to last to capacity. They want the ability to spin up and spin down. They want easy disaster recovery across geographically isolated regions. They want the ability to change performance levels at any time. So all of this goodness that they get from the cloud is what they want. And more and more of them also are looking to make their company's data accessible to cloud services for analytics and processing. So services like ECS and EKS and workspaces and App Stream and VMware cloud and SageMaker and orchestration services like parallel cluster and AWS batch. But at the same time, they want all these cloud benefits, but at the same time, they have established data management workflows, and they build processes and they've built automation, leveraging APIs and capabilities of on-prem NAS appliances. It's really tough for them to just start from scratch with that stuff. So this offering provides them the best of both worlds. They get the benefits of the cloud with the NAS data management capabilities that they're used to. >> Right. >> Ed: So Anthony, maybe, do you want to talk about the other two? >> Well, so, you know, first and foremost, you heard from Ed earlier on the, the, the FSX sort of construct and how successful it's been. And one of the real reasons it's been so successful is, it takes advantage of all of the latest storage technologies, compute technologies, networking technologies. What's great is all of that's hidden from the user. What FSX does is it delivers a service. And what that means for an ONTAP customer is you're going to have ONTAP with an SLA and an SLM. You're going to have hundreds of thousands of IOPS available to you and sub-millisecond latencies. What's also really important is the design for FSX and app ONTAP was really to provide consistency on the NetApp API and to provide full access to ONTAP from the Amazon console, the Amazon SDK, or the Amazon CLI. So in this case, you've got this wonderful benefit of all of the, sort of the 29 years of innovation of NetApp combined with all the innovation AWS, all presented consistently to a customer. What Ed said, which I'm particularly excited about, is customers will see this just as they see any other AWS service. So if they want to use ONTAP in combination with some incremental compute resources, maybe with their own encryption keys, maybe with directory services, they may want to use it with other services like SageMaker. All of those things are immediately exposed to Amazon FSX for the app ONTAP. We do some really intelligent things just in the storage layer. So, for example, we do intelligent tiering. So the customer is constantly getting the, sort of the best TCO. So what that means is we're using Amazon's S3 storage as a tiered service, so that we can back off code data off of the primary file system to give the customer the optimal capacity, the optimal throughput, while maintaining the integrity of the file system. It's the same with backup. It's the same with disaster recovery, whether we're operating in a hybrid AWS cloud, or we're operating in an AWS region or across regions. >> Well, thank you. I think this, this announcement is a big deal for a number of reasons. First of all, it's the largest market. Like you said, you're the gold standard. I'll give you that, Anthony, because you guys earned it. And so it's a large market, but you always had to make previously, you have to make trade-offs. Either I could do file in the cloud, but I didn't get the rich functionality that, you know, NetApp's mature stack brings, or, you know, you could have wrapped your stack in Kubernete's container and thrown it into the cloud and hosted it there. But now that it's a managed service and presumably you're underneath, you're taking advantage. As I say, my inference is there's some serious engineering going on here. You're taking advantage of some of the cloud native capabilities. Yeah, maybe it's the different, you know, ECE two types, but also being able to bring in, we're, we're entering a new data era with machine intelligence and other capabilities that we really didn't have access to last decade. So I want to, I want to close with, you know, give you guys the last word. Maybe each of you could give me your thoughts on how you see this partnership of, for the, in the future. Particularly from a customer standpoint. Ed, maybe you could start. And then Anthony, you can bring us home. >> Yeah, well, Anthony and I and our teams have gotten to know each other really well in, in ideating around what this experience will be and then building the product. And, and we have this, this common vision that it is something that's going to really move the needle for customers. Providing the full ONTAP experience with the power of a, of a native AWS service. So we're really excited. We're, we're in this for the long haul together. We have, we've partnered on everything from engineering, to product management, to support. Like the, the full thing. This is a co-owned effort, a joint effort backed by both companies. And we have, I think a pretty remarkable product on day one, one that I think is going to delight customers. And we have a really rich roadmap that we're going to be building together over, over the years. So I'm excited about getting this in customer's hands. >> Great, thank you. Anthony, bring us home. >> Well, you know, it's one of those sorts of rare chances where you get to do something with Amazon that no one's ever done. You know, we're sort of sitting on the inside, we are a peer of theirs, and we're able to develop at very high speeds in combination with them to release continuously to the customer base. So what you're going to see here is rapid innovation. You're going to see a whole host of new services. Services that NetApp develops, services that Amazon develops. And then the whole ecosystem is going to have access to this, whether they're historically built on the NetApp APIs or increasingly built on the AWS APIs. I think you're going to see orchestrations. I think you're going to see the capabilities expand the overall opportunity for AWS to bring enterprise applications over. For me personally, Dave, you know, I've demonstrated yet again to the NetApp customer base, how much we care about them and their future. Selfishly, you know, I'm looking forward to telling the story to my competitors, customer base, because they haven't done it. So, you know, I think we've been bold. I think we've been committed as you said, three and a half years ago, I promised you that we were going to do everything we possibly could. You know, people always say, you know, what's, what's the real benefit of this. And at the end of the day, customers and partners will be the real winners. This, this innovation, this sort of, as a service I think is going to expand our market, allow our customers to do more with Amazon than they could before. It's one of those rare cases, Dave, where I think one plus one equals about seven, really. >> I love the vision and excited to see the execution Ed and Anthony, thanks so much for coming back in the Cube. Congratulations on getting to this point and good luck. >> Anthony and Ed: Thank you. >> All right. And thank you for watching everybody. This is Dave Vellante for the Cube's continuous coverage of AWS storage day. Keep it right there. (upbeat music)

>> Hello, everybody. Welcome to VeeamON 2021. You're watching theCUBE's continuous coverage of this year's event. My name is Dave Vellante, and as the saying goes, you can go faster alone but further together, and that observation is most certainly true in the technology business, and with me to talk about the importance of partners and ecosystem expansion and leverage are Daniel Fried, who's the senior vice president for EMEA and worldwide channels and Veeam, and David Harvey who's the vice president of Strategic Global Alliances at Veeam. Gentlemen, welcome to theCUBE. Come on inside. >> Thank you, Dave. >> Thanks so much. Thank you. >> So you're welcome. So Daniel, about 40 partners by my count did at VeeamON virtual this year. Wow. It's unfortunate we can't interact with them face to face, but part of the story here 25% ARR growth and partners, obviously big contributor there. Give us the update from your perspective. >> Well, yeah. So first of all, I think it's going to be much more than the 40 partners that are going to attend VeeamON, because it's a key event that we've had already for a number of years, and this one this year is going to be as huge as usual, even bigger, because it is all remote. So everybody can participate. Now going to the results of the company, it is entirely also due to the partners. All types of partners, because we are 100% partner-based. We are a travel company. So all our businesses go through the buffers to reach out to the end customers, all different types of partners. So I do thank very, very much all partners around the world, all types of partners, because they all participate to the success of Veeam software, and this fantastic 25% growth indeed. >> Yeah, so David that's pretty important when you send that message. I mean a lot of companies, a lot of tech companies, struggle with that. They have a heritage of direct sales, and they say, hey we're super partner friendly, and then they do a big reach around. You kind of clean that up from day zero, but maybe talk a little bit about your philosophy around partnering. >> Yeah, absolutely. I mean it's been a core pillar, as you said Dave, of Veeam from day one, and we've been true to that message all the way through, and when you look at the rich ecosystem of the ProPartner Network that Daniel was talking about, and you also look at the way that we've embraced Alliances, not only from the technology integration point of view, but also within the go-to market position. It's just been a really rich experience for the Veeam field, the alliances and partner field, but more important for the customers, because they get the best of breed from both sides. They get peace of mind on supply chain, but fundamentally, and you touched on this point Dave, a lot of people talk about it in principle. We live it all day every day, and I think when you look at the rich experience that you're going to get from VeeamON, when you look at the fact that the Alliance partners have lent in as the premium sponsors. These are the biggest guys in the industry. It's just a testament to trust, and it's a testament to delivering value to the customers. >> How should we think about the sort of partner makeup, and I'm interested in particularly the perspective from EMEA, but I mean a number of the partners, the majority of the premier partners, for example, they're U.S.-based companies, but of course they have very strong presence around the world, and then of course within EMEA, Daniel, you've got a lot of local partners as well. How should we think about that makeup? The big whales, who account for, many, many tens of millions, hundreds of millions of dollars but as well the collective of the larger ecosystem. How should we think about that pyramid? >> Well, this is a fantastic question. I think that we have to go back into understanding what the role of partner is to reach out to the end customers, and because Veeam is selling to companies, which are very small ones, very small SMB customers all the way to the very large complex multinationals. We need partners who have these capabilities to address all those, and of course the number of companies around the world. It's hundreds of millions of them. To give you an idea, because of the partners, our coverage is more than a hundred countries. In other words, we sell to more than a hundred countries around the world, even in places where our Veeam presence, physical presence is not there. We need different types of partners depending on what is needed, what the customers are requesting, We talk about the popup neural network, but I would like to talk, to go even farther, and talk about an ecosystem, of business ecosystems, using the theme solutions and the Veeam technologies with the alliancers, with the STEM integrators, with the VAR, with the resellers, and with the service providers, with all different types of typologies partners, and it is not one unique way of doing businesses. So you've got huge companies, but you have a lot of small ones to be capable to sell to a mom and dad shop somewhere in the middle of the desert or somewhere around the world, but we also need to have competencies, because customers have requests that become more and more complex, because the world is becoming more and more complex from an IT perspective. So we need to have competencies, and this is what we try in this co-partner network software is to bring these competencies up to be capable through the partners to answer all the requests and all the needs of all the customers around the world. >> So, David, it's not just sort of generic. I mean obviously, as a 100% channel partner company, you're looking for volume and distribution, but as Daniel just said, there's competency. So what are some of the competencies that partners bring to the table? Maybe you have some examples that you can share. >> Yeah, absolutely. So if you look at a couple of different areas, what I would say is we look at this problems that customers are dealing with in two ways. One, they're dealing with the fact that they want a technology solution to something that they're dealing with today, and secondly, they want somebody to support them with a human workflow evolution that's going on with them today, and GSIs is a good example of that one. When you look at the work we're doing and the success we're having with the large global GSIs, what we're solving in that area is two things. Workplace optimization, huge topic at the moment, and secondly, the data center modernization, and what's happening as you go through that evolution is you're dovetailing together the workflows of their business. You're using data as a lifeblood to be able to be successful and relate to their share price, et cetera, but more importantly, you want to make sure that you're bringing into account both those sides. You can't just have a technology solution without an understanding of implementation, and you can't have a great concept without a solid solution to back that up. So that's where we dovetail together. The top alliances that are out there in the market with the top global systems integrators, and both of those combined solutions benefit everybody including the channel, but obviously more importantly, the customer, and I think when you look at that, the work we're doing with Accenture, with Capgemini, the work we're doing with guys like HPE and VMware and all these large thought leaders, that's where it's a really nice dovetail, and as we talked about before, because that's been the lifeblood of our organization from day one, it's a very harmonious experience focused on solving the customer pain. >> So I like that focus on solutions. I'm just thinking about workplace optimization. You think about remote work. I mean everybody's trying to figure out hybrid now. How do I get hybrid right, and of course you guys fit in. What's the right data protection model? Modernization. There's app modernization. Because of cloud, there's a rethink of how you protect data. Maybe it's additional layers, and then of course, I mean every time I look in the paper, there's another hit of ransomware or some cybersecurity attacks. You guys fit in there. There's this solution emphasis, which really dovetails nicely into the customer problem. Maybe you could talk a little bit about that, and the role that partners play and what role you play. >> The role that we play is I'm just here, and we complements response, cause it can be a very large extended answer, and with the role we play is I would say twofold. Just to try to be, to simplify as much as we can, as much as I can. One of them is to provide solutions, and this is number one. So Veeam is providing solutions to end customers through the partners. The partners, they have these competencies, which allow them to build solutions and services to answer the request and the needs of the customers. So this is the key thing. They generate the value add on top of our technologies, on top of our solutions, to meet what the customers request, and you're totally right, because we talked about the marketplace, we talked about a lot of things, but what is very important is we see more and more customers wanted to go to services. So not for themselves to manage the infrastructures, and their back up centers, and their back ups. They are everything which is needed to the security of the data, but to have it done by a potentially third party companies like the system integrators, like the cabin service providers, like all different types of companies, even some consultants giving advices on architectures, the neighborhoods, and all kinds of different services, which are built. I even had some partners that are now developing. We talk about containers more and more, and we have, sorry to be a bit technical here, but we have some partners of ours, obviously some larger ones, which are contributing what they call microservices, which is for this new generation of containers. So they are all developing services to meet the requests and the needs of their customers. There is a big focus at the end customers. So we provide the technology. They add value. >> Well, I don't think you ever have to apologize in theCUBE for talking tech. I mean you think about containers, and your acquisition of Kasten, the whole notion of microservices. Containers used to be ephemeral and stateless, and now they're becoming a fundamental application development platform, and they need protection. So I think that's an important area. We're going to dig into that in some other conversations in theCUBE. but your point, Daniel, about value add is critical. It used to be I call it box selling even though it's, the software's in a box, but it used to be okay I'm going to make some margin just reselling. Partners today want to add value. They just don't want to be a pass through, because they'll get disinter mediated. So that's important. I wonder if you guys could talk about some of the details of your partner programs. There's the ProPartner Network, and I'm very interested in the Veeam Universal License approach that you guys take. What kind of details can you share with us on those two things? >> Daniel, that's a good one for you. >> Right, okay. So what you call the Veeam Universal License, so this is part of the technology that we provide and the licensing that we provide. It's about recurring licensing model, which is totally agnostic. So in other words, it is the same types of licensers that customers can use for whether if they are hydrates, they go with an architecture, which goes to the heartbeat clouds, or any type of architecture or premise, so they can just move down action. So it's from one place to another place when they need it. So we give them the full flexibility with this licensing model to adapt to the new needs that they may have. So to influence that, they define an architecture, which is totally frozen, and then they cannot change it anymore. With us, with our technologies, with our licensing model, with our VUL licensing system, they have full flexibility, and this is a key differentiator for a lot of customers and obviously from our own competition. >> And my understanding is when you guys really started leaning into the ARR model, you actually were were pretty innovative in the way you kind of made that transparent, or irrelevant really, for your partner's sales channels. You guys set up front. We're going to... This is like no change. Go sell. We'll figure out the economics on the backend, and most organizations in your position don't do that. They try to micromanage the margin upfront, and it's sort of the finance guys running the spreadsheet or sort of determining the relationship as opposed to the relationship working backwards. Is that a correct inference on my part? I sort of got this from talking to some of your big partners and asked them, well, isn't that a real challenge when you shift to that model. They said no. Veeam just sort of made it all transparent to us and sort of aided at the backend or however you did that. >> So I think, Dave, that this is a very, very correct statement that you got from the partners, because it is not something which is new, and it is not only on this subscription licensing model What we always try to do with all partners is to have a consistent approach and a very transparent approach with the steps and move step by step to the next grade walls, to the next strategies, to the next ways of doing businesses with them. So the key thing to have a network of partners which works, which really develop and generates a good value add, it is the trust, and I think, I don't want to be too outspoken, but I think, and they can give us feedback, I think that we've succeeded year after year after year to build that trust with the partners, which means that we have the transparency. They just move along with the moves that we do, but our moves also come from them. So in other words, depending on what the end customers request, we help the partners to meet the requests of the end customers. So we help them develop more businesses. >> David, let me ask you something. So if you had 100$ to spend of resource, and you had to spend it on going deeper, sort of the existing partners or expanding the number of partners, and maybe even the quality of partners, and thinking about where IT is headed, Veeam's role in that, how do you allocate your time and your resources? >> Great question, and I think simple answer for me. You go deeper with what you have, and the reason for that is it's expensive, and it's about building trust, as Daniel said, and it's about making sure that the customer isn't caught up in the middle of it, and I think that's the really important part related to this as well. You said at the start of the conversation, Dave, with regards to the complexity, and the reality is there's multiple decisions going on right now. How do I adjust my infrastructure based on the needs of today? How do I look at the blend on hybrid cloud? What's going where, et cetera. How do I evolve into containers? Et cetera, et cetera, et cetera, and I think when you go down that line, and you're presented with these titans of industry that we're looking at here with some of our premium alliances, et cetera, it takes a long time to make sure that you integrate. It takes a long time to make sure you'll go to market and pain-based statements are clear. It takes a long time to go through the trenches, to learn together so that the customer is the one that has choice, doesn't have to investigate the way that Veeam wants to do it or our alliance wants to do it or our partner wants to do it. It's about looking at the best solution for their pain, and I think from that point of view you can only do that with continual commitment. I mean we add to our program in all aspects, but you will see consistency. You'll see releases from day one of the company when we launched the product, with Alliances as an example. That consistency and investment is peace of mind. It's trust, but more important it's innovative, because you get to invest for multiple years moving forwards. So that ideally we can continue our philosophy of being just ahead of what the customer needs, while listening to them and working with their other parts of the IT infrastructure, because as you said from the start again, this is an ecosystem. This is not a singular component, and I think that's where it's really key to have a philosophy, which we have here in Veeam, which is double down with your friends, make sure you make it work, look to evolve as the market evolves with some extension, but you never forget where you came from. >> I like that answer cause it was something. It was kind of a loaded question, because when I talked to a lot of companies behind the scenes, one of their big frustrations is there's a push to get more, more, more, but in reality when they look at the productivity, it's like a snake swallowing a basketball. They got a few partners that are really productive, and then the rest, and they're spending all this time doing Barney press releases. I love you. You love me and dah, dah, dah, and nothing ever happens out of it. So when you approach a strategic partnership, why Veeam? So when you approach a strategic partnership, why Veeam? Pitch me on why I should spend my time with Veeam versus one of the many other competitors that are out there. >> 100%. I mean that's the great thing. We're programmed from a history point of view, and there's nothing better than when you're talking to a strategic partner, than to be able to say you've put your money where your mouth is. Secondly, that money is key. We invest heavily, and it is expensive. It's an expensive scenario. I mean our Alliances organization globally is almost 100 people, and it's a big investment position, because you've got to make sure that you've got the ability to balance out what both sides are looking for, and sometimes you do things that maybe aren't 100% in your best interest, but that's important to your partner and your alliance and vice versa, and so from that point of view, you've got history and proven position. You've got investment potential, and the capital to be able to build together, to move forward, and thirdly, it's about the execution, and that's not just your philosophy where I started. This is about the ability to turn concept into tangible, frankly benefit, which comes down to economics for both sides, and those three things together to me are the way that we've been so successful, in not only growing and maintaining our position, but also attracting new ones as we look to see the evolution of the IT market. Daniel, you may have a different view. >> No, no, no, no, no. No, no, I totally agree. I just would like to complement your part by two things. Two things are very much marketing related. We are number two now worldwide, as IDC mentioned it. So in other words, that means that customers like our technologies, our solutions. So partners are looking for making businesses with somebody who is trusted. Also we get customers, and number two, we have a big marketing machine, and that helps very, very, very much the business, through the partners all the way to the end customers. We always involve the buffers, always systematic. >> Sorry to interrupt. I saw some of that IDC data. You guys are number two worldwide, but am I correct that you're the number one, like pure play independent or am I missing something there? >> Number one. Yeah. Number one in EMEA. >> Right. So I always ask that, because a lot of times other people, it's like cloud washing. I could throw a bunch of stuff in my cloud numbers and say I'm number one in cloud, but when you talk about Veeam all your revenue comes from backup data protection. That's the pure play. We love the pure plays, because they're easier to understand, and even though you guys are a private company, you're more transparent than most private companies. So it's helpful as an analyst to really kind of gauge the progress. So, okay guys. Hey, we got to leave it there. Thanks so much for coming on and talking about the all important partner ecosystem. You guys have done a great job there. Congratulations, and I hear it from your partners and obviously the numbers prove it out. So great job. >> Thanks. Thanks for your time today. >> All right. You're very welcome, and thank you for watching everybody. This is Dave Vellante for theCUBE's continuous coverage of VeeamON 2021, the virtual edition. Keep it right there for more great content.

>>from around the globe. It's the Cube presenting Cuban cloud brought to you by Silicon angle. The cube on cloud continues. We're here with Anna Pinza, who is the chief development officer and Anna Plan. We've been unpacking the future of Cloud. We've heard from a number of CEOs how they're thinking about Cloud in the coming decade. And first of all, Anna, welcome back to the Cube. Thanks for participating. It's great to see you again. >>It's great to see you, Dave. And I'm so excited to be here with you again, so hopefully we'll be doing this soon. >>I hope in 2021 will be able to be face to face everybody. Oh, no. A lot of respect. You think about the CEO role, something that you're intimately familiar with its unique because she or he has a very wide observation space across the company. You know, where is the GM or a business line manager there, You know, most concerned with their respective business, the CEO, they're gonna worry about the whole enchilada. And we've heard a lot in this program about digital transformation. We've heard a lot, of course, in the past couple of years, a lot of it was lip service, but but digital transformation, it's no longer optional. What's changed, in your view, in the way that businesses air going about it? >>You know, Dave, I mean, from my perspective, it's interesting. And this year in particular has been really telling for us, right? So I think before many companies were thinking about Hey, I wanna be online, I wanna grow my revenues, you know, with with digital I wanna have a presence. But what's happened actually this year with covert in particular, is that it's gone from being kind of a good to have, you know, to really ah, fundamental necessity. We must have it. And so when I talked to CEOs today, they're really thinking about different kinds of things than before, not just going digital, but how do I enable um, my people toe work remotely right? I've got to enable that how doe I bring the agility and the flexibility that I need in our business, especially with these new ways of working right? How do I look at business resiliency? You know, not just from a you know, something happens, and then how do I recover from it? But also how do I help our, You know, our company and our people then actually spring forward and grow from where we are. So it's gone from a a topic that was happening at the CEO, maybe at the business level. But now it's really also a fundamental CEO and board conversation. And so now we're seeing the CEO is having to present two boards. You know, what is our digital transformation? Are our digital strategy. So I wonder what >>you've seen in that regard. I'm interested in what role cloud plays and supporting those digital initiatives. But more specifically, you know, cloud migration came, you know, off the charts in terms of interest because of co vid. But you had those that that were, you know, deep into cloud had a lot of experience of those maybe not as much. Are you seeing any kind of schism in the marketplace where there's maybe a great advantage to those who really had years of experience on may be a disadvantage to those who didn't or is there kind of an equilibrium you're seeing in the market place? How do you see that playing out? >>Yeah. I mean, you know, What I'm seeing is that I think there used to be a spectrum of CEOs and effect, you know, the ones that were kind of a little bit, you know, you know, forward, ahead on the cloud, both on cloud infrastructure as well, Assassin. Right. And what are the services that we have? And then there were some that were really, um, you know, trying to think about what's the security, you know, implications of the cloud. And, you know, is it more expensive? And you know, So there was this spectrum of CEOs and I think now what's happened is there's such a business imperative that I think CEO s air saying, Look, I'm either gonna survive, you know, in this new world with the agility and the flexibility that I need And so cloud, you know, I'm seeing a lot of CEO is really saying Okay, Cloud is not just fashionable, but it z in and a necessity, right? And we must on we must do it. And I think frankly, the c e. O. S that don't embrace the cloud and that level of agility are going to struggle, right? It's a it's really a personal imperative. for a CEO in addition to sort of for the company. So >>a lot of times we talk about, you know, the three dimensions of people, process and technology, and I'm interested in your thoughts on how cloud has affected those traditional structures and the value chains. I mean, you've got some people are really good a text. Some people are really good at people. Some people are really good at process. Has the cloud affected that is, it upended? It changed it in any way. >>Yeah. I mean, let's let's, like, unpack that a little bit. You know, Dave, because if you think about process, I mean, one of the interesting things about the cloud is that And if you think about the cloud as going all the way from, like I as their sort of infrastructure all the way up the stack toe, actually providing business processes embedded, you know, in in a fast service, then from a process perspective and for CEOs, it's really upended how they think about business process reengineering in their companies. Um, if I think even, you know, five years ago, where you would have ah whole organization, that's, you know, focused on business process reengineering You do that? It takes a long time. You know, you get a consultant, maybe to help you, and then you work through that process. If you look at a SAS service like Anna plan today, where we our goal is, for example, toe orchestrate business performance. We were assassin business planning platform. We've incorporated into our platform that business process. Right. So the role of the CEO relative to business process and effect changes Right now, it's about how the leverage, ah, cloud infrastructure, and then how do you enable the customization is on top of that. But generally speaking, that's a lot easier than having to think about re engineering the whole company. Um, if you think about the technology stock, obviously the cloud, uh, embeds a lot of technology, you know, in the cloud. Right. So you have a lot of native services that are available to you. Um, that is awesome from a talent perspective, you know, because before, maybe you need to have, you know, needed to have database experts or, you know, kubernetes experts. And not that we don't need those today. But many of those capabilities come native in the cloud today. So, in effect, how it helps the CEO is to provide sort of this ecosystem of talent kind of embedded in what the cloud provider does. Right? So >>I wondered. So stay on that for a minute. So remember, before Amazon announced a W s and whether 2006 it was CEO said to me, >>Yeah, I'm thinking >>about maybe I don't need to run my own email, right? So because you have to have seen the SAS ification of of of businesses, which to your point, you know, makes things, uh, simpler and that I can focus on other areas and not to worry about, you know, managing infrastructure to support APS. At the same time you've had this proliferation of cloud you mentioned, of course, that you're with Anna Plan. You see, you got work day, you got Salesforce. You've got service now Oracle, APS and and people struggle. Okay, how do I get these things Talking to whether there's that worried about that data layer. So there's this new level of complexity. How do you see that playing out in the next decade? >>Yeah. You know, we used to say that, you know, we sort of, um, shift. What we do at a certain level and now is an organization we start to look at kind of higher value outcomes, right. And so I see that happening. And you're absolutely right. The conversations that I have with customers now are Hey, um, you know, there's things that are enabled by the cloud, and then on top of that, you need a set of a P i s or connectors or ways to get data in and out, you know, in and out of a particular system or ways to link. In our case, we're linking with Salesforce toe, Anna plan, toe workday or other tools, right? And so you start to think more about the business outcome that you want. The CEO needs to be focused on that, um, instead of maybe, uh, sort of the fundamentals of the technology. Those come, you know, those come for you, and then it's really more about the partnership with the business side. Right to say Okay, what is it that you're trying to do and can I enable that through my you know, cloud architectures, the work days, you know, the adobes or or the sales forces of the world. So I think the conversation is changing. And from my perspective, what's really cool about that is, um it brings the CEO Thio, you know, really makes the CEO of business and thought leader a strategic leader, right, Because, uh, the I t shop is not just talking tech, you know, the top shop has toe talk a lot more about the outcome that they're trying to deliver. >>So I mean, in the early days of cloud, I just wanna pick up on what you just said. I mean, a lot of people in I t's saw the cloud is a threat to their livelihood. And e think I'm inferring from your statements that were largely through that dynamic. And the CEO is now really trying to make the cloud platform for transformation and monetization or whatever other organizational goal might be saving lives or better government. Is >>that sort >>of how you see it, that the role has changed to that? >>I know. I mean, I talked to so many companies, and it's still we're still going through that transition, so I don't think we're completely over the hump of, you know, cloud all day everywhere but a same time. Um, I think what the CEO so really focused on these days is really around business, agility and business outcomes for their partners. By the way, that's one of the things. The second thing, especially these days, is around people, you know, collaboration, communication. How do we, you know, facilitate interaction of people, whether inside or outside of the company on DSO? You know, that's, um that's a very different conversation for the CEO. It doesn't mean that we're not still having the basic conversation of how safe is the cloud. What security do you have built into the cloud, Right, Andi? But I think, frankly, Dave, that we've across the chasm where before it used to be. Hey, I'm a lot more secure on Prem and, you know, given the tremendous focus of the cloud providers and says companies have put on security, um, I see many more companies, you know, feeling very at ease and in fact, telling their organizations right, we actually need to switch to the cloud, including large. Um, you know, large companies that have compliance issues, you know, or like large financial companies. Many of those are making that switch as well. Well, >>it's interesting talk about security, but I think it's kind of a two edged sword, right? Because I think a lot of frankly, I think a lot of executives early days used security as a way to sort of kick the can >>down the road. But >>the reality was cloud, you know better. Worse you could make that argument is different. And so, you know, different concerns people. But it's still a the end of the day. Bad security practices Trump, >>you >>know, good security. And so that's what we've seen so many times that shared responsibility model on DSO. People are still >>learning there, so >>so security is almost this beast in and of itself. I'm interested in your thoughts on on the priorities. I mean, >>our >>customers are they streamlining their their tech investments? I mean, the major focus, as you pointed out on Cloud, has been it's a driver of agility and shifting. Resource is as we talked about. But there's this constant cost pressure, you know, the procurement. Looking at the Amazon Bill, Uh, do you see ah lot of the same going forward? Or do you think the value equation is shifting such that there'll be Maybe, you know, I t is less cost pressure is always gonna be cost pressure. I know, but But more value producer, >>I think I think you're right. I mean, I see it and I see it. Over the last six months, I've seen it really accelerate where CEOs are thinking about three things and one is business resiliency. When I talk about business resiliency, I talk about the ability to recover from crap that happens. You know, where you know, whether it's pandemics or, you know, global events and shifts that companies have to accommodate. Right? So that's one thing that I see them thinking about. The second one that we talked about a little bit is just agility. You know, I see them really focused on that. And the cloud enables that. And, you know, the third one in conversations is really speed innovation, because, um, you know, when companies air talking to cloud providers and particularly SAS cos what I see them talking about is Look, I've got this particular need and it would take me, you know, two years to do it with a legacy player because of, you know, I've got to do this on Prem. But you have the fundamentals built in. And I think I could do it with you in three months. So I think, you know, business Resiliency both to grow and toe recover from stuff. Um, agility and innovation are really three fundamental levers that I see for movement, uh, movement to the cloud. Right? Andi, any one of those that these days I mean, it's funny, uh, depending on who you talk Thio. Any one of those can propel a CEO to make a choice to make that choice. And when they have all of that together, um, they have a lot more, um, lift in effect As a CEO, they have a lot more leverage, right in terms of what they could do for their companies. Well, >>let's stay on innovation. I mean innovation. I've said many times in tech, >>you >>know, for decades it came, came from Moore's Law, it seems, seems so nineties to even say that it's true. So what's going to drive innovation in the in the coming years? I'm interested in your perspective on how machine intelligence and a I n m l on cloud, of course, play into that innovation agenda. >>Yeah. I mean, it's it's interesting, You know, I see it a lot in our business with Anna plan. Um, innovation comes from the ability to bring instead of what you do internally and match it with what's available in the external world. Right? And you mentioned it earlier. Data, You know, data is like the new currency. That's that's, like software, you know, eats the world. Now we talk about data, right? And, um and I think what's really going to drive innovation is being able to have access to the world's data once the company builds this digital DNA, You know, this digital foundation and puts, you know and is able to have access to that data, Then you start to make decisions. You know, you start Thio offer services. Um, you start thio, bring intelligence. Um, that wasn't available before, right? And, um, that's a really powerful thing for any company, whether you're doing, you know, forecasting. And you need to sort of bring the world's data. Whether you're a agricultural company, we talking. And in these days, um, innovation comes in the form of speed, you know, being able to just deliver something new to an audience faster. So to me, the cloud enables, You know, all of that the ability Thio bring in data. And then on top of that, I mean, think about all the A i m l innovation that's happening around the world. We we just launched an offer, actually, um, to be able to dio forecasting intelligent forecasting on top of the cloud we partner with with a W s forecast for that, Um, if we didn't have a cloud platform, you know, to do that and instead of a p i s you know, being digital that way really enables us, uh, the opportunity Thio toe match. You know, one plus one equals one, you know, 100. Really? And bringing the power of that to get to companies together to be ableto enable that type of innovation. >>Well, that that that's interesting. It reminds me of my friends. Ed Walsh is the CEO of a startup called Chaos Search. And you use the statement. He said, where we're standing on the shoulders of the giants, you know what you know, trying not trying to recreate it. And I think you know, you got what you just said is the same thing. You're sort of relying on others to build out cloud infrastructure. So there's a totally left field question. When you hear all the talks about breaking up big tech I >>want Is that a >>relevant to you? Because you figured okay, the clouds gonna be there. It's maybe more about search or it's about, you know, Facebook or, you know, Amazon's dominance. Interestingly, Microsoft's really not in those discussions anymore. They were the center of it >>back. No, no. >>But as a head of development for a company, does that even factor into the equation? And you're kind of not worry about that? >>No. I mean, I'll be honest for me personally. What I do is I compartmentalize my world, right. In a sense, I view I view the partnerships and we have partnerships with Google and AWS and Microsoft and others, Right? So, um, I view those as part of a non opportunity to really provide on ecosystem set of solutions right to customers and those air very powerful. I think those partnerships enable companies like ours, like Sasse companies, to innovate faster, right? And so I compartmentalize and I say those things are are wonderful. I don't know why you would want to break up those companies at the same time. Um, you know, part of what you're referring Thio, you know, has to do with, um more the social and the consumer elements of what's going on. But as a business leader, um, I really I really focused on what the power is, particularly in the enterprise. What is it that we can do for global enterprise companies? And at least in my mind, those two things tend to be separate. >>Couple of things, you said they're triggered my mind. One was ecosystems. We've been talking about data. One of our guests on this program, Alan Nance, has been talking about ecosystems and the power of ecosystems. And I definitely see Cloud is a platform to allow data sharing across those those clouds and then to form ecosystems and share data in ways that we really couldn't have, you know, half a decade or even you no longer ago. And that seems to be where ah lot of the innovation is going to occur. Some of the people talk about the flywheel effect, but it's the power of many versus the resource is of, you know, a few. >>And I'm such a big believer in the ecosystem play. And part of that is because, um, frankly, even over the last 20 years, that the skills that are required and the knowledge that required that is required is so specialized. Dave, you know, if you think about, you know, a I m l and all the algorithms that we need to know when the innovation that's happening there. And so I really don't think that there's any one company that can serve a customer alone, right? And if you think about it from a customer perspective, you know they're made up of their business is made up of needs from a lot of different parties that they're putting together, you know, to accommodate their business outcome. And so the only way to play right now in tech is is in a collaborative way in an ecosystem way. I think the mawr that companies like ours worked with other companies on these partnerships. And frankly, by the way, I think in the past, many companies that have made bold announcements and they would say, Oh, you know, I'm partnering with so and so and I've got this great partner, you know, partnership. And then nothing would happen. You know, like it was just a lot of, you know, talk. But I think what's actually happening now and it's enabled by the cloud, is, um, we have much more of a show me culture, right? We can we can actually say. Okay, well, let's say, uh, Anna plan is partnering with Google. Show me. You know, show me what you're actually doing. And I see our customers, um, asking for references of how these ecosystem partnerships air playing. Um, and, uh, because these stories air out there mawr, I think partnerships are actually much more feasible and and really and pragmatic. Yeah. >>Anna, we call those Barney deals, you know, I love you. You love me, would do a press release, and then nothing ever happens. >>That's right. That's right. And I think that Z that's not gonna work. Going forward day, right? People are asking for a lot more transparency. And so when we think about ecosystems, they really want the meat on the bone, right? They don't want just, uh, announcements that don't really help their business move forward. Yeah, >>And you know the other thing to the come back to data. It's always comes back to data, right? Every conversation. But the data that's created out of that ecosystem is gonna throw off, you know, new capabilities and new data products, data services. And that, to me, is a really exciting, you know, new chapter, I think of cloud. >>Yeah, and it's interesting. You know, the conversations I'm having now are are about data and believe it or not, also about metadata, right? Because people are trying to analyze what's happening with the cloud. You know, among cloud providers what our customers doing with the data, right? How are they using data? How often are they accessing data? Um, security. You know, from that perspective, looking at who's accessing? Accessing what? So, um, the data conversation in the metadata conversation are truly enabled by the cloud and their their key. And they weren't that easy to do in a prior, you know, legacy sort of environment. There's >>a great point. I'm glad you brought that up, because legacy, environment, all the all that metadata that data about the data is locked inside of these systems. And if you're gonna go across clouds and you're gonna have it secure and govern. You've gotta have that metadata visibility and a point of control that actually can see that and and can manage it. So thank you for that at that point. And thank you for coming on the on the Cuban participating. The Cuban cloud has been great having you. >>Thank you so much for having me. It's been a pleasure. >>Alright, Keep it right there. Everybody mawr from the Cuban cloud right after this short break.

>> The Cube on cloud continues. We're here with Ana Pinczuk, who's the chief development officer at Anaplan, and we've been unpacking the future of cloud. We've heard from a number of CIOs how they're thinking about cloud in the coming decade. And first of all, Ana, welcome back to the Cube. Thanks for participating. It's great to see you again >> It's great to see you, Dave, and I'm so excited to be here with you again. So hopefully, we'll be doing this soon. >> I hope in 2021, we'll be able to be face-to-face >> Face-to-face, I know. >> and everybody out there, we miss you all. >> I know, I know. >> Now, Ana, in a lot of respects, you think about the CIO role, something that you're intimately familiar with, and it's unique, because she or he has a very wide observation space across the company. Whereas a GM or a business line manager, they're most concerned with their respective business, the CIO, they got to worry about the whole enchilada. And we've heard a lot in this program about digital transformation. We've heard a lot, of course, in the past couple of years. A lot of it was lip service, but digital transformation is no longer optional. What's changed, in your view, in the way that businesses are going about it? >> You know, Dave, from my perspective, it's interesting, and this year, in particular, has been really telling for us. So I think, before, many companies were thinking about, hey, I want to be online, I want to grow my revenues with digital, I want to have a presence. But what's happened, actually, this year, with COVID in particular, is that it's gone from being a good to have to really a fundamental necessity, we must have it. And so when I talk to CIOs today, they're really thinking about different kinds of things than before, not just going digital, but how do I enable my people to work remotely? I've got to enable that. How do I bring the agility and the flexibility that I need in our business, especially with these new ways of working? How do I look at business resiliency, not just from something happens and then how do I recover from it, but also how do I help our company and our people then actually spring forward and grow from where we are? So it's gone from a topic that was happening at the CIO, maybe at the business level, but now it's really also a fundamental CEO and board conversation, and so now we're seeing the CIOs having to present to boards what is our digital transformation, our digital strategy. >> So I wonder what you've seen in that regard. I'm interested in what role cloud plays in supporting those digital initiatives, but more specifically, cloud migration came off the charts in terms of interest 'cause of COVID, but you had those that were deep into cloud, had a lot of experience, and those maybe not as much. Are you seeing any kind of schism in the marketplace, where there's maybe a great advantage to those who really had years of experience, and maybe disadvantages to those who didn't, or is there an equilibrium you're seeing in the marketplace? How do you see that playing out? >> Yeah, what I'm seeing is that, I think there used to be a spectrum of CIOs, in effect, the ones that were a little bit forward, ahead on the cloud, both on cloud infrastructure as well as SaaS, and what are the services that we have, and then there were some that were really trying to think about what's the security implications of the cloud, and is it more expensive? So there was this spectrum of CIOs. And I think now what's happened is there's such a business imperative that I think CIOs are saying, "Look, I'm either going to survive in this new world with the agility and the flexibility that I need." And so cloud, I'm seeing a lot of CIOs really saying okay, cloud is not just fashionable, but it's in, and a necessity, and we must do it. And I think, frankly, the CIOs that don't embrace the cloud and that level of agility are going to struggle. It's really a personal imperative for a CIO, in addition to for the company. >> So a lot of times, we talk about the the three dimensions of people, process, and technology, and I'm interested in your thoughts on how cloud has affected those traditional structures and the value chains. You've got some people are really good at tech, some people are really good at people, some people are really good at process. Has the cloud affected that? Has it upended it, changed it in any way? >> Yeah, let's unpack that a little bit, Dave, 'cause if you think about process, one of the interesting things about the cloud is that- and if you think about the cloud as going all the way from IaaS, or infrastructure, all the way up this stack to actually providing business processes embedded in a SaaS service, then from a process perspective, and for CIOs, it's really upended how they think about business process re-engineering in their companies. If I think, even five years ago, where you would have a whole organization that's focused on business process re-engineering, you do that, it takes a long time, you get a consultant, maybe, to help you, and then you work through that process. If you look at a SaaS service like Anaplan today, where we- Our goal is, for example, to orchestrate business performance. We are a SaaS business planning platform. We've incorporated into our platform that business process, so the role of the CIO relative to business process, in effect, changes. Now it's about how to leverage a cloud infrastructure, and then how do you enable the customizations on top of that? But generally speaking, that's a lot easier than having to think about re-engineering the whole company. If you think about the technology stack, obviously, the cloud embeds a lot of technology in the cloud, so you have a lot of native services that are available to you. That is awesome from a talent perspective, because before, maybe you needed to have database experts or Kubernetes experts. And not that we don't need those today, but many of those capabilities come native in the cloud today. So, in effect, how it helps the CIO is to provide this ecosystem of talent embedded in what the cloud provider does. >> So I wonder, so let's stay on that for a minute. So I remember, before Amazon announced AWS in, was it 2006, a CIO said to me, "Yeah, I'm thinking about maybe I don't need to run my own email," (chuckles). And so- >> That's right, that was those days. >> And then, of course, it happens that we see the SaaSification of businesses, which, to your point, makes things simpler, in that I can focus on other areas, and not to worry about managing infrastructure to support apps. At the same time, you've had this proliferation of cloud. You mentioned, of course, that you're with Anaplan, you see, you got Workday, you got Salesforce, you got ServiceNow, Oracle apps, and people struggle. How do I get these things talking to others, they're worried about that data layer, so there's this new level of complexity. How do you see that playing out in the next decade? >> Yeah, and we used to say that we shift what we do at a certain level, and now, as an organization, we start to look at higher value outcomes. And so I see that happening, and you're absolutely right. The conversations that I have with customers now are, hey, there's things that are enabled by the cloud, and then on top of that, you need a set of APIs, or connectors, or ways to get data in and out of a particular system, or ways to link. In our case, we're linking with Salesforce, to Anaplan, to Workday, or other tools, and so you start to think more about the business outcome that you want. The CIO needs to be focused on that, instead of maybe the fundamentals of the technology. Those come for you. And then it's really more about the partnership with the business side, to say, okay, what is it that you're trying to do, and can I enable that through my cloud architecture, the Workdays, the Adobes, or the Salesforces of the world? So I think the conversation is changing. And from my perspective, what's really cool about that is it brings the CIO to, really makes the CIO, a business and thought leader, a strategic leader, because the IT shop is not just talking tech, the IT shop has to talk a lot more about the outcome that they're trying to deliver. >> So in the early days of cloud, I just want to pick up on what you just said, a lot of people in IT saw the cloud as a threat to their livelihoods, and I think I'm inferring from your statements that we're largely through that dynamic, and the CIOs are now really trying to make the cloud a platform for transformation, and monetization, or whatever other organizational goal, might be saving lives, or better government. Is that how you see it, that the role >> Look, I talk- >> Has changed to that? >> I know, I talk to so many companies, and we're still going through that transition, so I don't think we're completely over the hump of cloud all day, everywhere, but at the same time, I think what the CIO's really focused on these days is really around business agility and business outcomes for their partners. By the way, that's one of the things. The second thing, specially these days, is around people, collaboration, communication. How do we facilitate interaction of people, whether inside or outside of the company? And so that's a very different conversation for the CIO. It doesn't mean that we're not still having the basic conversation of how safe is the cloud, what security do you have built into the cloud? But I think, frankly, Dave, that we've crossed the chasm, where before it used to be, hey, I'm a lot more secure on prem, and given the tremendous focus that the cloud providers and SaaS companies have put on security, I see many more companies feeling very at ease, and in fact, telling their organizations we actually need to switch to the cloud, including large companies that have compliance issues, or large financial companies. Many of those are making that switch as well. >> Well, it's interesting, we could talk about security, but I think it's a two-edged sword, because I think a lot of, frankly, I think a lot of executives, early days, used security as a way to kick the can down the road. But the reality was the cloud, better or worse, you could make that argument, but it's different, and so different concerns people, but it's still, at the end of the day, bad security practices trump good security, and so that's what we've seen so many times, the shared responsibility model. And so people are still learning there. So security is almost this beast in and of itself. I'm interested in your thoughts on the priorities. Are customers, are they streamlining their tech investments? The major focus, as you pointed out, on cloud has been it's a driver of agility and shifting resources, as we talked about, but there's this constant cost pressure, the procurement, looking at the Amazon bill. Do you see a lot of the same going forward, or do you think the value equation is shifting such that there'll be, maybe, IT is less cost pressure? There's always going to be cost pressure, I know, but more value producer. >> I think you're right. I see it, and over the last six months I've seen it really accelerate, where CIOs are thinking about three things, and one is business resiliency, and when I talk about business resiliency, I talk about the ability to recover from crap that happens, whether it's pandemics or global events and shifts, that companies have to accommodate. So that's one thing that I see them thinking about. The second one that we talked about a little bit is just agility. I see them really focused on that, and the cloud enables that. And the third one in conversations is really speed to innovation, because when companies are talking to the cloud providers, and particularly SaaS companies, what I see them talking about is, look, I've got this particular need, and it would take me two years to do it with a legacy player because I've got to do this on prem, but you have the fundamentals built in, and I think I can do it with you in three months. So I think business resiliency, both to grow and to recover from stuff, agility, and innovation, are really three fundamental levers that I see for movement to the cloud. And any one of those that these days, it's funny, depending on who you talk to, any one of those can propel a CIO to make that choice, and when they have all of that together, they have a lot more lift, in effect, as a CIO. They have a lot more leverage in terms of what they can do for their companies. >> Well, let's stay on innovation. Innovation, I've said many times, in tech, for decades it came from Moore's Law. It seems so '90s to even say that, >> I know, I know. >> but it's true. So what's going to drive innovation in the coming years. I'm interested in your perspective on how machine intelligence, and AI, and ML, and cloud, of course, play into that innovation agenda? >> Yeah, it's interesting. I see it a lot in our business with Anaplan, innovation comes from the ability to bring in what you do internally and match it with what's available in the external world. And you mentioned it earlier, data. Data is like the new currency, that's like software eats the world, now we talk about data. And I think what's really going to drive innovation is being able to have access to the world's data. Once a company builds this digital DNA, this digital foundation, and is able to have access to that data, then you start to make decisions, you start to offer services, you start to bring intelligence that wasn't available before, and that's a really powerful thing for any company, whether you're doing forecasting and you need to bring the world's data, whether you are a agricultural company. And in these days, innovation comes in the form of speed, being able to just deliver something new to an audience faster. So to me, the cloud enables all of that, the ability to bring in data. And then on top of that, think about all the AIML innovation that's happening around the world. We just launched an offer, actually, to be able to do forecasting, intelligent forecasting, on top of the cloud. We partner with AWS Forecast for that. If we didn't have a cloud platform to do that, and a set of APIs, being digital that way really enables us the opportunity to match, one plus one equals 100, really, and bring in the power of that to get two companies together to be able to enable that type of innovation. >> Well, that's interesting. It reminds me of, one of my friends, Ed Walsh, is the CEO of a new startup called ChaosSearch, and he used this statement, he said, "We're standing on the shoulders of the giants. We're not trying to recreate it." And I think what you just said is the same thing. You're relying on others to build out cloud infrastructure. >> Totally. >> So here's a totally left-field question. When you hear all the talks about breaking up big tech, I wonder, is that irrelevant to you because you figured, okay, the cloud's going to be there, it's maybe more about search, or it's about Facebook, or Amazon's dominance. Interestingly, Microsoft's really not in those discussions anymore. They were the center of it back in the '90's. >> I know, I know. >> But as the head of development for a company, does that even factor into the equation, or do you just not worry about that? >> I'll be honest, for me personally, what I do is I compartmentalize my world. In a sense, I view the partnerships, and we have partnerships with Google, and AWS, and Microsoft, and others, so I view those as part of an opportunity to really provide an ecosystem set of solutions to customers, and those are very powerful. I think those partnerships enable companies like ours, like SaaS companies, to innovate faster. And so I compartmentalize, and I say those things are wonderful, I don't know why you would want to break up those companies. At the same time, part of what you're referring to has to do with more the social and the consumer elements of what's going on. But as a business leader, I really focus on what the power is, and particularly in the enterprise, what is it that we can do for global enterprise companies? And at least in my mind, those two things tend to be separate. >> A couple of things you said there that triggered my mind. One was ecosystems. We've been talking about data. One of our guests in this program, Allen Nance, has been talking about ecosystems and the power of ecosystems, and I definitely see cloud as a platform to allow data-sharing across those clouds and then to form ecosystems and share data in ways that we really couldn't have half a decade, or even longer ago. And that seems to be where a lot of the innovation is going to occur. Some of the people talk about the flywheel effect, but it's the power of many versus the resources of a few. >> And I'm such a big believer in the ecosystem play, and part of that is because, frankly, even over the last 20 years, the skills that are required and the knowledge that is required is so specialized, Dave, if you think about AIML and all the algorithms that we need to know and the innovation that's happening there, and so I really don't think that there's any one company that can serve a customer alone. And if you think about it from a customer perspective, their business is made up of needs from a lot of different parties that they're putting together to accommodate their business outcome, and so the only way to play, right now, in tech, is in a collaborative way, in an ecosystem way. I think the more that companies like ours work with other companies on these partnerships, and frankly, by the way, I think in the past, many companies that have made bold announcements and they would say, oh, I'm partnering with so-and-so, and I've got this great partnership, and then nothing would happen (laughs). It was just a lot of talk. But I think what's actually happening now, and it's enabled by the cloud, is we have much more of a show me culture. We can actually say, okay, well, let's say, Anaplan is partnering with Google, show me, show me what you're actually doing. And I see our customers asking for references of how these ecosystem partnerships are playing. And because these stories are out there more, I think partnerships are actually much more feasible, and real, and pragmatic. >> Yeah, Ana, we call those barney deals, I love you, you love me, we do a press release, and then nothing ever happens. >> That's right, that's right. And I think that's not going to work going forward, Dave. People are asking for a lot more transparency, and so when we think about ecosystems, they really want the meat on the bone. They don't want just announcements that don't really help their business move forward. >> Yeah, and the other thing too, we come back to data, it's always coming back to data, every conversation, but the data that's created out of that ecosystem is going to throw off new capabilities, and new data products, data services, and that, to me, is a really exciting new chapter, I think, of cloud. >> Yeah, and it's interesting, the conversations I'm having now are about data, and believe it or not, also about metadata, because people are trying to analyze what's happening among cloud providers, what are customers doing with the data, how are they using data, how often are they accessing data. Security, from that perspective, looking at who's accessing what. So the data conversation and the metadata conversation are truly enabled by the cloud, and they're key. And they weren't that easy to do in a prior legacy environment. >> It's a great point, I'm glad you brought that up, because in a legacy environment, all that metadata, that data about the data, is locked inside of these systems, and if you're going to go across clouds, and you're going to have it secure and governed, you've got to have that metadata visibility and a point of control that actually you can see that and can manage it, so thank you for that point. And thank you, Ana, for coming on the Cube and participating in the Cube on Cloud. It's been great having you. >> Thank you so much for having me, it's been a pleasure. >> All right, keep it right there, everybody. More from the Cube on Cloud right after this short break. (bouncy music)

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by AWS Worldwide Public sector Welcome back to the cubes. Virtual coverage of eight of us Reinvent 2020 Virtual. This is the Cube virtual. I'm your host, John Ferrier. We are the Cube virtual. This year not only were in person but because of the pandemic. We're doing the remote interviews, doing the live coverage over the past couple weeks. We'll be covering it in depth. My next guest is Lynn Martin, vice president of government education. Health care for VM Ware Public Sector Thank you for coming on the Q. As part of the public sector day. Thanks for coming on. >>Thanks, John. It's my pleasure to be with you to that >>great to see last time you're on the Cube. We were in person and D. C is part of the Public Sector Summit, which is the reinvent for public sector is what I call it Theresa's big event. Teresa Carlson, who runs a U. S public sector. You guys a friend. You've been working together the partnership between VM where AWS has been so strong going back to 2016. I'll never forget. When I interviewed Pat and Andy, A lot of skeptics were like VM Ware E W s turned out to be great. Move at many levels. You're in the field for VM Ware driving the business. What's up? What's the update? >>So a couple exciting things. The partnership has been going great. Ah, lot of transformation work and co innovation between the two companies from the engineering side. And, as you mentioned, great a t the Pat Andy level on Ben. When you take it down to the field, support our government education, healthcare, customers. Great partnership with Theresa and her team. They've done a fabulous job, really, being at the forefront of the cloud transformation across those markets and our partnership together. No, it's pretty exciting. We have a lot of new product announced. It's coming out around our government. Go to market means jointly. So it's been a busy time with co vid and a lot of opportunity for both companies to really market differentiators for some of the challenges that are unique customers face >>when I want to ask you a little bit more on that piece because I know it's been interesting with the pandemic. You guys have had a nice overlay with 80. Invest with Teresa's organization obviously from it from a customer standpoint, Nice fit. Okay. Also, with the pandemic, we're seeing customers certainly doing more modern development. That's a big theme of reinvent also for VM World a few months ago as well. But the operator side of the I t piece is gonna be completely changed. I've been doing some reporting and stories around how not just the modern app site, but the I T portion operating these environments. It's hard in pant with the pandemic, so you start to see that operator meets software meets Cloud kind of world. Can you give your perspective of how that's impacted with the pandemic? Because it seems to have accelerated both i t operations in public sector and modern development of new APS and new surge. So, uh, interesting thoughts. I'd love to get your perspective. >>Yes. So I would say that when you kind of look back at the beginning of 2020 I don't think any of us envisioned quite what we were gonna be facing and what our customers, particularly in public and health care you know have faced. So we have customers jointly that are on the forefront of either providing civil services, national security, education to the students or commercial health care first responders right on the front line around patient care. And what I would say, the observation we had really early on in March was the acceleration of the digital transformation across all of those sectors. So lots of discussions have been taking place, and there were a lot of projects in place that would take a couple of years to probably implement. And I think what occurred with Covic is you really have to accelerate how you were gonna provide those civil services or patient care or education and parts of that digital transformation. I think we're taking for granted. So if you think of, like virtual desktop technology in the education space or, you know, SD when and network capability be of the cloud force for health care providers and things of that nature. So I think the portion played a bigger part in the country, responded to cove it in ensuring that we could do the things we needed to do virtually and quickly and out enabled, you know, speed to market and then infrastructure from companies like VM Ware teamed with an Amazon. We allow the acceleration for that journey. >>You know, the old expression. Necessity is the mother of all invention. Um, education and healthcare in particular really were impacted. They had a pressure points t do differently, things faster e education. We know what's going on there and health care with the pandemic. How how are you managing through this? Because, you know, you had a lot of business in flight prior before the pandemic. Now during and you've got maybe some visibility toe what growth looks like Post pandemic. You still got demand. So how are you managing it with from your perspective, your team? What's it like? How how are you as a leader dealing with this? But it's not like it's slowing down for you. It's increasing in >>demand. Yes, so are our segment was kind of on the forefront within bm where globally, um, we started working with different state, local governments and the federal government ahead of the close downs. You know, in one of the major large metropolitan cities, there were over a billion students that had to be able to be educated virtually and there were challenges around network capability, device capability, all kinds of things. So we've had a lot, a lot of activity and as a company. But you know, my segment, how to really work with corporate to kind of bend, how we do business business process rules as well, to be able to respond quickly and to be agile for our clients and provide different ways to support the needs of those customers. So then they could provide the kind of civil services that the country, you know, counts on them to dio. So I think from the internal perspective, in customer facing, we were able to flex, flex and move very quickly and then internally, within the organization as well. I would say, You know, February to June was almost a blur, were busy on weekend calls and things like that, dealing with all different kinds of situations and the organization as a whole. We were ableto flex and work remotely very quickly. I mean, we just used our own technology and literally upon the shutdown. The only difference is where you were working from, but all the tools, infrastructure and things we had were already in place. So anything from there and then as a leader, the third element, all out is kind of the human element. I think it's it's all an opportunity to connect our teams a little bit. Mawr. You know, you have to put more effort virtually more, all hands because more one on ones and kind of also adapt toe how they're dealing with the different personal things of educating their own Children and their family or caring with elders different types of situations as well. >>It's not business as usual, certainly, but it's, you know, challenging great leadership insight there. Thank you for sharing that. I wanna get back to the cloud impact I did. An interview is part of Amazon's Public Sector Awards program a few months ago or in late spring. Roughly, Um, there was a use case with the center and the Canada government, and the guy was kind of, uh, didn't wanna take sidewall Amazon. I'm not gonna be a spokesperson for Amazon. He ended up when the pandemic hit. He was so big fan of AWS and Cloud connectors example because he was skeptical, but he saw the benefit to speed can you give some examples of customers that you're working with that were getting immediate benefits from cloud in the pandemic. That literally made a big difference in what they did because you're seeing people highlight on, okay, just transmission. But people want to see examples. Can you share some examples where this is where cloud helped? It made a huge difference. And that's an example of what we're talking about here. >>Yes. So I would say, um, um example would be at M. D. Anderson Cancer Institute. Um, they had a need to really expand the connectivity off the facility to segregate patient care and ensure that patients that already, you know, had health issues were segregated from any other co vid patients. And very quickly we saw them scale and extend their data center in record time. I mean, things that traditionally would have taken years were done in months, you know, major accomplishments. In 30 days, a zai mentioned, you know, one of our large cities in the country had to really struggle with off 1.2 billion students in K through 12, many of which count on the school systems for, you know, their meals and things and how you deliver your virtual desktops in that environment. VMC on AWS for horizon is a great example that we saw across many state and local you know, entities in how they transform their education to those clients. Uh, and then the federal government. There's many examples, uh, you know, across some of the larger agencies as well, with BMC on AWS for both horizon and infrastructure as well. As you know, sometimes it wasn't one solution. They might have went a W s native for part vmc on AWS for part. And the combination of that really allows companies to come together in part to get things done very, very quickly. It's >>a great example of the VM Ware cloud on AWS success story. I think what's interesting and how I see you guys really doing well with Amazon. It will get to the partnership in a second. But I wanna call this out because you mentioned that earlier devices the network these air not usually associate with cloud usually clouds. You burst of the cloud clouds. Awesome. All these utility higher level services, Dev Ops Cloud native All goodness, But when you get down to what's going on the pandemic. It's the devices you're using. The desktops. It's the network working at home. How as much as that affected your team and your customers, Can you unpack that a little bit more? >>Yes. So what I would say on that is really when you look atyou out, you know the VMC on AWS offerings and you take it down to an example like the horizon platform horizon allows you with the V m c A W s power behind it to really present your virtual desktop on any device anywhere. And that allowed the education entities to be able to provide those curriculums to the students very quickly and, you know, not really have a big, disconnected downtime on how that was done. So I think you know, you're kind of taking cloud classic infrastructure that you reference and then layering in those unique use cases with the VMC on AWS offerings that then could be applied or telehealth. So you know, lots of examples across the health care industry with telehealth and deploying actually patient care via the M R solutions on BMC on aws is well, so it z really taking core. I t infrastructure layering on a software platform that then allows you to provide all those use cases, whether it be an NYPD or fire departments across the country or education entities or commercial patient care things of that nature as a second layer on top of that cloud infrastructure that you think of normally. >>Well, then I want to congratulate you and the team at VM. Where you guys doing? A great job. Like Teresa Carlson. You guys have a really good focus. Uh, you have a great understanding of how the public sector and commercial dynamics working with cybersecurity, going on all across there. And I just you guys there in space with them. You're doing stuff on the land and the ground station all across the public sector, and and they need faster solutions in the cloud. So congratulations. So I have to ask you, since we're here at reinvent, how is the relationship going? Um, where do you see it evolving? I'll see. We talked about the pressure of education, health care and other areas. I mean, case is gonna be re hall. That's gonna be a complete reinvention. Um, so a lot going on. What's supposed to give us the update. >>So I think that in general, you know the future off the public sector and healthcare space will never go backwards. And the acceleration that we've seen occur over 2020. You're gonna see that accelerate as we move forward. And I think the co innovation between Amazon and B M, where which are both innovative companies coming together to support those markets, I think we have more opportunity ahead of us then behind us. And I think when you look at just the great job Amazon has done in general, I was super excited to see Theresa pick up the health care sector. So we have a whole new space to work together on this year and really lots of exciting, innovative offerings to support both patient care and pharmaceuticals, life science and our payer community across the health care sector, as well as some of the work we've already been doing in the public sector. But given the dynamics in the future outlook of the industry, there's gonna require lots of innovation and different kinds of things to really partner together technically and, you know, aligning our go to market around primarily the customer needs. So I think what's very unique about our partnership in the public and healthcare space is we focus first on the customer needs and the mission of those customers and what they need to achieve. And both companies come to the table with, you know, incredible innovation around solutions to support that market. >>It's a great, great partnership, I gotta say, from a technology standpoint, after Raghu VM Ware when they did this, he's like It's a much deeper It's a real deal is not just the Barney deal is everyone kind of knows the old school, uh, phrases saying It's not really a deal. You guys have really integrated in the field on the customer activities. Strong final question for you You don't mind, um, here it reinvent. You know, people are remote. There's gonna be three weeks, a lot of live coverage. Cube Game day will be doing a lot of support and coverage. But for the audience watching this, what would you say is the most important story people should think about or, um, look at harder. I'm when it comes to cloud collision of public sector and what's gonna happen post pandemic because there's gonna be a new reality. There's gonna be growth strategies that will be in play. Some projects will be doubled down on some may not continue. What's your What's your advice to folks watching? What should they pay attention to this reinvent. >>So I think the number one thing is to really embrace the change going around you. And, you know, I think Amazon will be on the forefront of leading a lot of great innovation in that area. And it's really trying to be open minded about how you take advantage of the things that are coming out and be able to apply that into your infrastructure. So if you look across our customer base, you know there's lots of changes you mentioned. I don't think we'll ever go backwards. And those that will be able to move forward quicker are going to be the ones that embrace the change and really lead and drive that innovation within their organization in reinventing themselves through the kind of technology that a company like Amazon and beyond, where bring to the table >>great insight. Lynn And also there's a lot of great problems to solve and societal benefits a lot of need and you guys doing great work. Thanks for your leadership. And, uh, great conversation. Thank you. >>Thanks very much. >>Okay. Lynn Martin, head of vice president of Global public Sector Uh, government education Healthcare. Lynn Martin, the leader of VM Ware's public sector here in the Cube. I'm John Ferrier. Thanks for watching.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Everyone welcome back to the cubes coverage of a Davis reinvent 2020. It's a virtual conference this year. This is the Cube virtual. I'm John for your host. We're not in person this year. We're doing it remote because of the pandemic, but it's gonna be wall to wall coverage for three weeks. We've got you covered. And we got a great interview signature interview here with Two Cube alumni's Matt Garment, vice president of sales and marketing at AWS, formerly head of the C two and, of course, Sanjay Poon in CEO of VM Ware. Both distinguished guests and alumni of the Cube. Good to see you, Sanjay. Matt. Thanks for coming on. Uh, let's just jump into it. How are you guys doing? >>Great. Exciting. Excited for reinvent and, uh, excited for the conversation. So thanks for having us on. >>Yeah, I'm great to be here. We are allowed to be 6 ft away from each other, so I came in, but super excited about the partnership. Matt and I have been friends for several years on. You were so excited about another reinvent, the different circumstances doing all virtual. But it's a fantastic partnership. >>You know, I look forward to reinvent one of my most favorite times of the year, and it's also kind of stressful because it's backs up against Thanksgiving. And but, you know, you get through it, you have your turkey and you do the Friday and you guys probably Kino, perhaps, and all things going on and then you go to Vegas is a few celebration. We're not doing it this year. Three weeks eso There's gonna be a lot of big content in the first week, and we're gonna roll that out. We're gonna cover it, But it's gonna be a different celebrations so mad. I know you're in front center on this, Uh, just real quick. What are what do you expect people to be doing on the system? What's your expectations and how is this all going to play out? >>Yeah, you know, it's gonna be different, but I think we have Justus much exciting news as ever. And, you know, it's gonna be over a three week period. I think it actually gives people an opportunity to Seymour things. I think a lot of times we heard from, uh, from customers before was they love the excitement of being in Vegas, and we're not gonna be able to exactly replicate that, but But we have a lot of exciting things planned, and it'll enables customers to get two more sessions Seymour of the content and really see more of the exciting things that are coming out of AWS. And there's a lot s over the three weeks I encourage folks toe to dive in and really learn things is a This is the opportunity for customers to learn about the cloud and and some really cool things coming out. We're excited. >>Well, congratulations on all the business performs. I know that there's been a tailwind with the pandemic as people wanna go faster and smarter with cloud and on premise and Sanjay, you guys have a great results as well. Before I get into some of my point. Of course, I have a lot of I know we don't a lot of time, but I want to get a nup date on the relationship we covered in three years ago when, uh, Andy Jassy and team came down to San Francisco with Pat Gelsinger, Raghu, Sanjay. All this went down. There were skeptics. Relationship has proven to be quite strong and successful for both parties because you guys take a minute so you will start with you and talk about the relationship update. Where you guys at, What's the status? The relationship people want to know. >>Yeah, I think John, the relationship is going really well. Uh, it's rooted in first off, a clear understanding that there's value for customers. Um, this is the best of the public cloud in the private cloud in a hybrid cloud journey. And then, secondly, a deep engineering effort. This wasn't a Barney announcement. We both decided Matt in his previous role, was running a lot of the engineering efforts. Uh, we were really keen to make this a deep engineering effort, and often when we have our connected Cube ers, we're doing one little later this afternoon. I often can't tell when a Amazon personal speaking when a VM ware person speaking we're so connected both the engineering and then the go to market efforts. And I think after the two or three years that the the solution has had to just state and now we have many, many customers started to get real value. The go to market side of the operations really starting take off. So we're very excited about it. It is the preferred and the best offering. We think in the market, Um, and for Vienna, where customers. We message it as the best place for Vienna workload that's running on V sphere to move into Amazon. >>Matt, what's your take on the relationship update from your >>standpoint, I agree with Sanjay. I think it's been it's been fantastic. I think like you said, some folks were skeptical when we first announced it. But But, you know, we knew that there was something there and I think as we've gotten even deeper into this partnership, Onda figured out how we can continue Thio integrate more deeply both with on Prem and into the cloud. Our customers have really guided us and I think that's that's enabled us to further strengthen that partnership, and customers continue to get more excited when they see how easy it is to move and operate their VM where in their V sphere workloads inside of a W S on how it integrates well with the AWS environment, Um on they can still use all of the same functions and capabilities that they they built their business on the inside of the sphere. We're seeing bigger and bigger customers really just embrace us, and the partnerships only grown stronger. I think you know, Sanjay and I, we do joint sales calls together. I think that the business has really, really grown. It's been it's been a fantastic partnership. >>I was talking about that yesterday with being where in eight of us teams members as well. I want to get your thoughts on this cultural fit. Sanjay mentioned e think the engineering cultures air there. The also the corporate culture, both customer focused. Remember Andy Jassy told me, Hey, we're customer focused like you're making big. You make big, big statements Public Cloud and now he goes toe hybrid. He's very reactive to the customers and this is a cultural thing for me, was an VM where what are the customers saying to you now? What are you working backwards from this year? Because there's a lot to work backwards from. You got the pandemic. You got clear trends around at modernization automation under the covers, if you will. And you got VM Ware successful software running on their cloud on AWS. You got other customers. Matt, what's the big trends right now that are highlighted in your in your world? >>Yeah, it's a good question. And I think you know, it really does highlight the strength of this this hybrid model, I think, you know, pre pandemic. We had huge numbers of customers, obviously kind of looking at the cloud, but some of the largest enterprises in the world, in the more traditional enterprises, they really weren't doing a lot, you know, they were tipping their toes in, and some of the forward leaning enterprises were being really aggressive about getting into the cloud. But, you know, many people were just, you know, kind of hesitant or kind of telling, saying, Yes, we'll go learn about the cloud. I think as soon as the pandemic hit, we're really starting to see some of those more traditional enterprises realize it's a business imperative for them. Toe have ah, big cloud strategy and to move there quickly, and I I think our partnership with VM Ware and the VMC offering really is allowing many of these large enterprises to do that. And we see we see big traditional enterprise is really accelerating that move into the cloud. It gives them the business agility they need that allows them to operate their environment in uncertain world that allows them to operate remotely on DSO. We're seeing all of those trends, and I think I think we're going to continue to see the acceleration of our joint business. >>Sanjay, your thoughts. Virtualization has hit ah, whole nother level. It's not like server virtualization like it's cultural, it's societal. What's your take? >>Yeah, I think you know, virtualization is that fabric that connects the private cloud to the public cloud. It's the basis for a lot of the public cloud infrastructure. So when we listen to customers, I think the first kind of misconception we had to help them with was that it had to be choice between one or the other and being able to take Vienna Cloud, which was basically compute storage networking management and put that into the bare metal capabilities of AWS, an engineer deep into the stack and all the services that Matt and the engineering team were able to provide to us now allows that sort of application that sitting on premise to move like a house on wheels into a W s. And that's a beautiful experience we've even shown in in conferences, like a virtual reality moving of a workload, throwing a workload into a W s and a W s catches it. It's a good metaphor in a good way to think of those things that VM were like like the most playing the customers like like the emotional moves nicely. But then the other a misconception we had thio kind of illustrate to our customers was that you could once you were there, uh, let's take that metaphor. The house and wheels renovate the house with all the I think there's probably $200 services that Amazon AWS has. Um, all of a I data services be I I o t. Whatever. You have all the things that Andy and Matt kind of talk about in any of the reinvents. You get to participate and build on those services so it has. It's not like you take this there, and then it's sort of a dead end. You get to modernize your app after you migrated. So this migrate and modernize motion is something that we really start to reinforce with our customers, and it doesn't matter which one you do. First, you may modernize first and then migrate or migrate first and modernize. And in the modernized parts we've also made some significant investments and containers and Tan Xue. We could talk about that at this time and optimizing that for both the private cloud world and the public cloud world like Amazon. >>You know, Matt, this is something that we're talking about a lot this week. These few weeks with reinvent going on this everything is a service trend has a lot of things under it, like automation. Higher level services. One of the critics would say, Three years ago, when this announcement relationship between VM Ware enables came out was, Oh, Amazon's is going to steal all of their customers and VM we're screwed. Turns out that's not the case. You guys are both winning and rising. Tide floats all boats because VM Ware has an operator kind of market. People are operating their business with VM ware and they're adding higher level services with Cloud native, So it Xan overall win, so that was proven false. So clearly the new trend You guys are gaining a large enterprises that wanna go faster, have that existing operator kind of legacy stuff or pre conditions of the enterprise like VM ware. So how do you guide the technology teams and how do you look at this? Because this is where customers are like saying, Hey, I cannot operate my business house on wheels, modernize it in real time, come out a covert with the growth strategy and go faster your interview on all that. >>So I think you're exactly right. I think we see a lot of customers who see I don't want to necessarily lose what I have. I want to add on top of that, And so whether that's adding machine learning and kind of figuring out how they can take their data from various different data silos and put them into a large data lake and gets the machine learning insights on top of that, whether they want to do analytics, um, whether they want to d i o T. Whether they want to modernize two containers, I think there's there's a whole bunch of ways in which customers are looking at that. But you're absolutely right. It's not a I'm gonna go from a to B. It's I'm gonna take a and add B to it and, um, we see that's that's over and over again. I think what we've seen from customers doing it and, um and they're really taking advantage of that, right? And I think customers see all the announcements that we're making a reinvent over the next three weeks, and they wanna be able to take advantage of those things right? It's it's they want to be able to add that onto their production environment. They want to take a lot of the benefits they've gotten from their VM Ware environment, but also add some of these innovations from AWS. And I think that Z that really is what we focus on is what our engineering teams focus on. You know, we have joint engineering efforts to figure out how we can bridge that gap, right, so that they BMR environments can very easily reach into their A W s environment and take advantage of all the new services and offerings that we have there. So, um, that's that's exactly what our joint teams really pushed together. >>Sanjay, I wanna get your thoughts on this and we talk. Two years ago, we had a conversation with Cuba. I ask you since this is a great move for VM Ware because it simplifies the messaging and clears up the whole cloud strategy. And you had said something that I'm gonna bring this back today. You said it's not just simplifying the messaging to customers about what we're gonna do in the cloud. It's going to simplify their life is gonna make things easier. Have them set up for better bitterness. Goodness down the road. Can you take him in to explain what that what that goodness was? What came out of the simplicity of the messaging, the simplicity of solution? Where are we now? How does that all kind of Italian together? Can you take him in to explain that? >>Yeah, I think when the history books are written, John, um, this partnership will be one of the most seminal partnerships because from VM Ware's perspective, maybe a little from Amazon Let Matt talk about if you feel the same way. This is a headwind turning into a tailwind. I think that's sort of narrative that VM ware in Amazon were competing each others that maybe was the early story. In the early days of A W s Progress and VM, we're trying to build our own public cloud and then divesting that, uh, Mats, a Stanford grad. I'm a Harvard grad. So one day there'll be a case study. I think in both schools about how this partnership we have a strong partnership with deadlines, sometimes joke. That's a little bit of an arranged marriage we don't have. We didn't have much saying that because AMC Bardhyl so that's an important partnership. But this one we have to work hard to create. And I tell our customers, Del on AWS are top partners. And as you think about what we've been able to do here, the simplicity to the customer for you, as you describe this, is being able to really lower cost of ownership in any process, in terms of how they're building and migrating APs to be the best optimization of hardware, software and services. And the more you could make that better, simpler, cheaper through software and through the movement to the cloud. Um, I think customers benefit, and then you know, Of course, the innovation machine of both companies. Uh, Amazon's really building. I mean, every time I go to read and I'm just amazed at the Yeah, I think it's a near 200 services that they're building in all of these rich layers. All of those developers, services and, I don't know, two million customers. The whatever number of people that have it reinvent this year get to participate on top of all the applications and the virtualization infrastructure we built over the 20 years of our history. Uh eh. So I hope, you know, as we continue do this, this is all now, but customers success large and small customers being able to. And I'm very gratified to three years since we announced this that we're getting very good customer traction. And for us, that's gonna be a key focus to the reinvent, uh, presence we >>have at their show. It really just goes to show you when you built, when you invest in relationships up and down the spectrum from engineering Ah, product and executive. It kind of does pay off. Congratulations to you guys on that matter. I want to get your thoughts on where this kind of going because you're talking about the messaging from VM ware in the execution that comes behind it is the best, you know, Private public cloud hybrid cloud success. There's momentum there. What are the customers saying to you when you look at customer proof points? Um, what do you point to? Because you're now in charge of sales and marketing, you have to take now the installed base of Amazon Web services, which is you got the Debs and startups and, you know, cloud scale to large enterprises. Now you got the postcode growth. Go fast, cloud scale. You've got a huge customer base. You've got a target. These guys, you gotta bring this solution. What are they saying about the VM ware AWS success? Can you share some? Some >>days I'd be happy to, I think I mean, look, this this is what gets, uh, us excited. I know Sanjay gets just as excited about this. It's and it's really it's resonating across our customer base. You know, there's folks like S and P Global who's a large enterprise, right? They had, uh, they had a hardware procurement cycle. They were looking at them on front of implementation and they looked at a WSMV I'm wearing. They said, Look, we want to migrate. All of our applications want to migrate. Everything we have into the cloud, I think it was 150 critical financial applications that they seamlessly migrated with zero downtime Now all running on BMC in the cloud. Um, you look at governments, right? We have thing folks like the Scottish government on many government customers. We have folks that are like Penny Mac and regulated industries. Um, that really took critical parts of their application. Andi seamlessly migrated them to to A W S and BMC, and they looked at us. And when we talk to these customers, we really say, like, where is the best place for us to run these v sphere workloads? And, um and the great thing is we have a consistent message. We we know that it's the right that that aws nbn where's the best place to run those VCR workloads in the cloud? And so as we see enterprises as we see regulated industries as we see governments really looking to modernize and take advantage of the cloud, we're seeing them move whole swaths of their applications. And this is not just small parts. These are the critical really mission critical applications that they know that they need to get out flexibility on, and they want to get that agility. And so, um, you know, there's been a broad swath of customers like that that have really moved large large pieces of their application in date of us. So it's been fun to see. >>And John, if I might add to that what we've also sought to do is pick some of those great customers like the ones that Matt talked about and put them on stage. Uh, VM world. In previous, we had Freddie Mac and we had, you know, I h s market and these are good examples in the few that Matt talked about. So I'm super excited. I expect there'll be many more reinvent we did. Some also be in world. So we're getting these big customers to talk about this because then you get the 10 phenomenon. Everyone wants to come to this, tend to be able to participate in that momentum. The other thing I'm super excited about it started off as a US phenomenon. Just the U s customers, but I'm starting to see riel interest from European and a p J customers. Asia Pacific customers in countries Australia, Japan, U. K, France, Germany. So this becomes a global phenomenon where customers understand that this doesn't have to be just the U. S centric customers that are participating. And then that was, for me a very key objective because the early customers always gonna start in the Geo where, um, you know, there's the most resonance with the public cloud. But now we're starting to see this really take off in many parts of the world. >>Yeah, that's a great point at something we can talk about another conversation. Maybe we will bring you guys into some of our live check ins throughout the three weeks we're doing here. Reinvent. But this global regional approach Matt has been hugely successful. Um, we're on Amazon. We have Q breaches because by default, we're on top of Amazon. You're seeing companies build on top of Amazon. Look a snowflake. The largest I po in the history of Wall Street behind VM Ware. They run Amazon, right? And I will probably have other clouds to down the road. But the point is you guys are enabling this. >>Yeah, global. And it's it is one of the things that we hear from customers that they that they love about running in the cloud is that, you know, think about if you had Teoh, you know you mentioned snowflake. Imagine if your snowflake and you have to go build data centers everywhere. If you had to go roll out toe to Europe and then you have to build data centers in Germany and then you have to build data centers and the U. K. And then you had to go build data centers in Australia like that would be an enormous cost and complexity, and they probably wouldn't do it frankly, at their early stage, Um, you know, now they just they spin up another stack and their ableto serve their customers anywhere around the world. And we're seeing that from our VM or customers where, you know, they actually are spinning up brand new vmc clusters, uh, where they weren't able to do it before, where they either had toe operate from a single stack. Um, now they're able to say, you know what? I'd love to have Ah, vm or stack in Australia, and they're able to get that up and running quickly. And so I do think that this is actually enabling new business it z, enabling customers to think about. How do they put their computer environment close to where their end users are or where they need that computer environment to be sometime just close to end users? Sometimes it's for data residency requirements, but it really kind of enables customers to do that. Where think about in a cove in world, if you have to go launch a data center in a new country, you probably just I mean, maybe it wouldn't even be possible to do that way are today. And now it's just FBI calls. So >>I mean, your point about going slows in an option. The imperative we have, you know, even expression here inside silicon and on the Cube team. Is there a problem? Yes. Is it important? Yes. What are the consequences if you don't solve the problem? Can you quantify those consequences? And then you gotta look at solutions and look at the timing. So you got timing. You got cost. You got the consequences of not doing it. And speed all those things. No. No one's gonna roll out of data center in six months if they if they tried so again, Cloud. And I'm trying to come into play here. You gotta operate something. It's a hand in the glove, its's. I'm seeing the cream rise to the top with covert. You're seeing real examples of riel scale riel value problems that you solve that important that have consequences that can be quantified. I mean, it's simple. Is that >>you know, John, I was gonna say, in addition to this via McLeod on aws were also pretty, you know, prominent AWS customer for some of our services. So some of the services that we've seen accelerate through Covic Are these distributed workforce security capabilities? Eso we resume internally, that obviously runs on AWS. But then surrounding that with workspace one and carbon like to secure the laptop that goes home. Those services of us running A W. S two. So this is one of those places where we're grateful that we could run those cloud services because we're also just like Snowflake and Zoom and others. Many of the services that we build that our SAS type services run on Amazon, and that reinforces the partnership for us. Almost like a SAS customer. >>Well, gentlemen, really appreciate your insight. As always, a great conversation. We could go for another hour. You guys with leaders of your organizations, you're at the front lines as managing through the pandemic will have you guys come into our check ins throughout the three weeks now here during reinvent from or commentary. But I'd like to end this segment by sharing. In your opinion, what is the most important thing that the audience should pay attention to this year at Reinvent? I know there's a lot of things going on. It's three weeks, not four days. It's so it's longer, but still there's a lot of announcements, man, on your side vm where you got the moment and you got your announcements. What should customers pay attention to this reinvent Virtual 2020. >>So, do you wanna go first? >>No, man, it's your show. You go first. E >>I would encourage folks toe Really think about and plan the three weeks out. This this is the opportunity to really dive in and learn. Right? Reinvent is as as many of you know, this This is just a different type of conference. It's not American Conference. This is a learning conference, and and even virtually that doesn't change. And so I encourage. Look across the broad swath of things that we're doing. Learn about machine learning and what we're doing in that space. Learn about the new compute capabilities or container capabilities. Learn about you know what, what is most relevant to your business if you're looking about. Hey, I have an on premise data center, and I'm looking about how I extend into the cloud. There's a lot of new capabilities around BMC and AWS that makes sense, but there's also a lot of cool announcements around just other services. Um, that could be interesting. We have a ton of customers. They're giving talks. And learning from other customers is often the best way to really understand how you can get the most value out of the cloud. And so I encourage folks toe really kind of block that time. I think it's easy when your remote to get distracted by, you know, watching Netflix or answering emails or things like that. But this is this is a great opportunity to block that schedule. Find the time that you have to really spend time and dive into the sessions because we have a ton of great content on a lot of really cool launches coming up. >>Yeah, I'm just very quickly. I would like one of things I love about Amazon's culture and were similar. VM Ware is that sort of growth mindset. Learn it all and I'm looking forward myself personally to going to reinvent university. This is three weeks of learning, uh, listening to many of those those things. I learned a ton and I've tried to have my own sort of mindset of have being a learn it all as opposed to know it. Also these air incredible sessions and I would also reinforce what Matt said which is going find pure customers of yours that are in your same vertical. We're seeing enormous success in the key verticals Vienna plays in which itself called financial services public sector healthcare manufacturing, CPG retail. I mean, whatever it is so and many of those customers will be, uh, you know, doing virtual talks or we have case studies of use cases because often these sort of birds of a feather allow you to then plan your migration of modernization journey in a similar >>fashion, Matt Sanjay, always great to get the leaders of the two biggest companies in our world A, W s and VM where to share their perspectives. Uh, this year is gonna be different. I'm looking forward to, you know, really kinda stepping up and leaning into the virtual because, you know, we're gonna do three weeks of cube coverage. We have, like, special coverage days, Tuesday, Wednesday, Thursday for each of the three weeks that we're in. And we're gonna try to make this fun as possible. Keep everyone engaged on tryto navigate, help people navigate through the virtual world. So looking forward to having you guys back on and and sharing. Thanks for coming. I appreciate it. Thank you very much. Okay, this is the cubes. Virtual coverage of virtual reinvent 2020. I'm John for your host. Stay with us. Silicon angle dot com. The cube will be checking in with our live coverage in and out of the sessions and stay with us for more wall to wall coverage. Thanks for watching. Yeah,

>> We're here at the Data Cloud Summit 2020, tracking the rise of the data cloud. And we're talking about the ecosystem powering the next generation of innovation in cloud, you know, for decades, the technology industry has been powered by great products. Well, the cloud introduced a new type of platform that transcended point products and the next generation of cloud platforms is unlocking data-centric ecosystems where access to data is at the core of innovation, tapping the resources of many versus the capabilities of one. Casey McGee is here. He's the vice president of global ISV sales at Microsoft, and he's joined by Colleen Kapase, who is the VP of partnerships and global alliances at Snowflake. Folks, welcome to theCUBE. It's great to see you. >> Thanks Dave, good to see you. Thank you. >> Thanks for having us here. >> You're very welcome. So, Casey, let me start with you please. You know, Microsoft's got a long heritage, of course, working with partners, you're renowned in that regard, built a unbelievable ecosystem, the envy of many in the industry. So if you think about as enterprises, they're speeding up their cloud adoption, what are you seeing as the role and the importance of ecosystem, the ISV ecosystem specifically, in helping make customers' outcomes successful? >> Yeah, let me start by saying we have a 45 year history of partnership, so from our very beginning as a company, we invested to build these partnerships. And so let me start by saying from day one, we looked at a diverse ecosystem as one of the most important strategies for us, both to bring innovation to customers and also to drive growth. And so we're looking to build that environment even today. So 45 years later, focused on how do we zero in on the business outcomes that matter most to customers, usually identified by the industry that they're serving. So really building an ecosystem that helps us serve both the customers and the business outcomes they're looking to drive. And so we're building that ecosystem of ISVs on the Microsoft cloud and focused on bringing that innovation as a platform provider through those companies. >> So Casey, let's stay on that for a moment, if we can. I mean, you work with a lot of ISVs and you got a big portfolio of your own solutions. Now, sometimes they overlap with the ISV offerings of your partners. How do you balance the focus on first party solutions and third-party ISV partner solutions? >> Yeah, first and foremost, we're a platform company. So our whole intent is to bring value to that partner ecosystem. Well, sometimes that means we may have offers in market that may compliment one another. Our focus is really on serving the customer. So anytime we see that, we're looking at what is the most desired outcome for our customer, driving innovation into that specific business requirement. So for us, it's always focusing on the customer, and really zeroing in on making sure that we're solving their business problems. Sometimes we do that together with partners like Snowflake. Sometimes that means we do that on our own, but the key for us is really deeply understanding what's important to the customer and then bringing the best of the Microsoft and Snowflake scenarios to bear. >> You know, Casey, I appreciate that. A lot times people say "Dave, don't ask me that question. It's kind of uncomfortable." So Colleen, I want to bring you into the discussion. How does Snowflake view this dynamic, where you're simultaneously partnering and competing sometimes with some of the big cloud companies on the planet? >> Yeah, Dave, I think it's a great question, and really in this era of innovation, so many large companies like Microsoft are so diverse in their product set, it's almost impossible for them to not have some overlap with most of their ecosystem. But I think Casey said it really well, as long as we stay laser focused on the customer, and there are a lot of very happy Snowflake customers and happy Azure customers, we really win together. And I think we're finding ways in which we're working better and better together, from a technology standpoint, and from a field standpoint. And customers want to see us come together and bring best of breed solutions. So I think we're doing a lot better, and I'm looking forward to our future, too. >> So Casey, Snowflake, you know, they're really growing, they've got a pretty large footprint on Azure. You're talking hundreds of customers here that are active on that platform. I wonder if you could talk about the product integration points that you kind of completed initially, and then kind of what's on the horizon that you see as particularly important for your joint customers? >> You have to say, so one of the things that I love about this partnership is that, well, we start with what the customer wants. We bring that back into the engineering-level relationship that we have between the two companies. And so that's produced some pretty incredibly rich functionality together. So let me start by saying, you know, we've got eight Azure regions today with nine coming on soon. And so we have a geographic diversity that is important for many of our customers. We've also got a series of engineering-level integrations that we've already built. So that's functionality for Azure Private Link, as well as integration between Power BI, Azure Data Factory, and Azure Data Lake, all of this back again to serve the business outcomes that are required for our customers. So it's this level of integration that I think really speaks to the power of the partnership. So we are intently focused on the democratization of data. So we know that Snowflake is the premier partner to help us do that. So getting that right is key to enabling high concurrency use cases with large numbers of businesses, users coming together, and getting the performance they expect. >> Yeah, I appreciate that Casey, because a lot of times I'll, you know, I'll look at the press release. Sometimes we laugh, we call them Barney deals. You know, "I love you. You love me." But I listen for the word engineering and integration. Those are sort of important triggers. Colleen, or Casey too, but I want to start with Colleen. I mean, anything you would add to that, are there things that you guys have worked on together that you're particularly proud of, or maybe that have pushed the envelope and enabled new capabilities for customers where they've given you great feedback? Any examples you can share? >> Great question. And we're definitely focusing on making sure stability is a core value for both of us, so that what we offer, that our customers can trust, is going to work well and be dependable, so that's a key focus for us. We're also looking at how can we advance into the future, what can we do around machine learning, it's an area that's really exciting for a lot of the CXO-level leadership at our customers, so we're certainly focused on that. And also looking at Power BI and the visualization of how do we bring these solutions together as well. I'd also say at the same time, we're trying to make the buying experience frictionless for our customers, so we're also leveraging and innovating with Azure's Marketplace, so that our customers can easily acquire Snowflake together with Azure. And even that is being helpful for our customers. Casey, what are your thoughts, too? >> Yeah, let me add to that. I think the work that we've done with Power BI is pretty, pretty powerful. I mean, ultimately, we've got customers out there that are looking to better visualize the data, better inform decisions that they're making. So as much as AI and ML and the inherent power of the data that's being stored within Snowflake is important in and of itself, Power BI really unlocks that and helps drive better decisions, better visualization, and help drive to decision outcomes that are important to the customer. So I love the work that we're doing on Power BI and Snowflake. >> Yeah, and you guys both mentioned, you know, machine learning. I mean, they really are an ecosystem of tools. And the thing to me about Azure, it's all about optionality. You mentioned earlier, Casey, you guys are a platform. So, you know, customer A may want to use Power BI. Another customer might want to use another visualization tool, fine, from a platform perspective, you really don't care, do you? So I wonder Colleen, if we could, and again, maybe Casey can chime in afterwards. You guys, obviously everybody these days, but you in particular, you're focused on customer outcomes. That's the sort of starting point, and Snowflake for sure has built pretty significant experience working with large enterprises and working alongside of Microsoft to get other partners. In your experience, what are customers really looking for out of the two joint companies when they engage with Snowflake and Microsoft, so that one plus one is, you know, much bigger than two. Maybe Colleen, you could start. >> Yeah, I definitely think that what our customers are looking for is both trust and seamlessness. They just want the technology to work. The beauty of Snowflake is our ease of use. So many customers have questions about their business, more so now in this pandemic world than ever before. So the seamlessness, the ease of use, the frictionless, all of these things really matter to our joint customers, and seeing our teams come together, too, in the field, to show here's how Snowflake and Azure are better together, in your local area, and having examples of customers where we've had win-wins, which I'd say Casey, we're getting more and more of those every day, frankly, so it's pretty exciting times. And having our sales teams work as a partnership, even though we compete, we know where we play well together, and I see us doing that over and over again, more and more, around the world, too, which is really important as Snowflake pushes forward, beyond the North America geographies into stronger and stronger in the global regions, where frankly, Microsoft's had a long, storied history at. That's very exciting, especially in Europe and Asia. >> Casey, anything you'd add to that? >> Yeah. Colleen, it's well said. I think ultimately, what customers are looking for is that when our two companies come together, we bring new innovation, new ideas, new ways to solve old problems. And so I think what I love about this partnership is ultimately when we come together, whether it's engineering teams coming together to build new product, whether it's our sales and marketing teams out in front of the customers, across that spectrum, I think customers are looking for us to help bring new ideas. And I love the fact that we've engineered this partnership to do just that. And ultimately we're focused on how do we come together and build something new and different. And I think we can solve some of the most challenging problems with the power of the data and the innovation that we're bringing to the table. >> I mean, you know, Casey, I mean, everybody's really quite in awe and amazed at Microsoft's transformation, and really openness and willingness to really, change and lean into some of the big waves. I wonder if you could talk about your multi-platform strategy and what problems that you're solving in conjunction with Snowflake. >> Yeah, let me start by saying, you know, I think as much as we appreciate that feedback on the progress that we've been striving for, I mean, we're still learning every day, looking for new opportunities to learn from customers, from partners, and so a lot of what you see on the outside is the result of a really focused culture, really focusing on what's important to our customers, focusing on how do we build diversity and inclusion to everything we do, whether that's within Microsoft, with our partners, our customers, and ultimately, how do we show up as one Microsoft, I call one Microsoft kind of the partner's gift. It's ultimately how do our companies show up together? So I think if you look multi-platform, we have the same concept, right? We have the Microsoft cloud that we're offering out in the marketplace. The Microsoft cloud consists of what we're serving up as far as the platform, consists of what we're serving up for data and AI, modern workplace and business applications. And so this multi-cloud strategy for us is really focused on how do we bring innovation across each of the solution areas that matter most to customers. And so I see really the power of the Snowflake partnership playing in there. >> Awesome. Colleen, are there any examples you can share where, maybe this partnership has unlocked the customer opportunity or unique value? >> Yeah, I can't speak about the customer-specific, but what I can do and say is, Casey and I play very corporate roles in terms of we're thinking about the long-term partnership, we're driving the strategy. But hey, look, we'll get called in, we're working a deal right now, it's almost close of the quarter for us, we're literally working on an opportunity right now, how can we win together, how can we be competitive, the customers, the CIO has asked us to come together, to work on that solution. Very large, well-known brand. And we're able to get up to the very senior levels of our companies very quickly to make decisions on what do we need to do to be better and stronger together. And that's really what a partnership is about, you can do the long-term plans and the strategics and you can have great products, but when your executives can pick up the phone and call each other to work on a particular deal, for a particular customer's need, I think that's where the power of the partnership really comes together, and that's where we're at. And that's been a growth opportunity for us this year, is, wasn't necessarily where we were at, and I really have to thank Casey for that. He's done a ton, getting us the right glue between our executives, making sure the relationships are there, and making sure the trust is there, so when our customers need us to come together, that dialogue and that shared diction of putting customers first is there between both companies. So thank you, Casey. >> Oh, thanks, Colleen, the feeling's mutual. >> Well, I think this is key because as I said up front, we've gone from sort of very product-focused to platform-focused. And now we're tapping the power of the ecosystem. That's not always easy to get all the parts moving together, but we live in this API economy. You could say "Hey, I'm a company, everything's going to be homogeneous. Everything is going to be my stack." And maybe that's one way to solve the problem, but really that's not how customers want to solve the problem. Casey, I'll give you the last word. >> Yeah, let me just end by saying, you know, first off the cultures between our two companies couldn't be more well aligned. So I think ultimately when you ask yourself the question, "What do we do to best show up in front of our customers?" It is, focus on their business outcomes, focus on the things that matter most to them. And this partnership will show up well. And I think ultimately our greatest opportunity is to tap into that need, to that interest. And I couldn't be happier about the partnership and the fact that we are so well aligned. So thank you for that. >> Well guys, thanks very much for coming on theCUBE and unpacking some of the really critical aspects of the ecosystem. It was really a pleasure having you. >> Thank you so much for having us. >> Okay, and thank you for watching. Keep it right there. We've got more great content coming your way at the Data Cloud Summit.

>>We're here at the Data cloud Summer 2020. Tracking the rise of the data cloud. We're talking about the ecosystem powering the next generation of innovation in cloud. You know, for decades, the technology industry has been powered by great products. Well, the cloud introduced a new type of platform that transcended point products. And the next generation of cloud platforms is unlocking data centric ecosystems where access to data is that the core of innovation tapping the resource is of many versus the capabilities of one. Casey McGee is here. He's the vice president of Global I S V. Sales at Microsoft in He's joined by Colleen Capsule, who is the VP of partnerships and global alliances that snowflake folks, welcome to the Cube. It's great to see you. Thanks. >>Very good to see you. Thank you. >>You're >>very welcome. So, Casey, let me start with you, please. Microsoft's get a long heritage. Of course, working with partners renowned in that regard built a unbelievable ecosystem, the envy of many in the industry. So if you think about as enterprises, they're speeding up their cloud adoption. What are you seeing is the role and the importance of ecosystem the i s v ecosystem specifically in helping make customers outcomes successful. >>Yeah, let me start by saying, we have, ah, 45 year history of partnerships. So from our very beginning as a company, we invested to build these partnerships. And so let me start by saying from day one we looked at a diverse ecosystem as one of the most important strategies for us, uh, both to bring innovation to customers and also to drive growth. And so we're looking to build that environment even today. So 45 years later, focused on how do we zero in on the business outcomes that matter most to >>customers usually >>identified by the industry that they're serving and so really building an ecosystem that helps us serve >>both the >>customers and the business outcomes They're looking to drive. And so we're building that ecosystem of SVs on the Microsoft cloud and focused on bringing that innovation as a platform provider through those companies. >>Okay, so let's let's stay on that for a moment if we can. I mean, you work with a lot of I s V s and you got a big portfolio of your own solutions. Now, sometimes they overlap with the I S V offerings of your partners. How do you balance the focus on, you know, First Party Solutions and third party I E S p Partner Solutions? >>Yeah, First and foremost, we're a platform company. So our whole intent is to bring value to that partner ecosystem. While sometimes that means we may have offers in market day that may complement one another. Our focus is really on serving the customer. So anytime we see that we're looking at what is the most desired outcome for a customer driving innovation into that into that specific business requirements? So for us, it's always focusing on the customer and really zeroing in on making sure that we're solving their business problems. Sometimes we do that together with partners like snowflakes. Sometimes that means we do that on our own. But the key for us is really deeply understanding what's important customer and then bringing the best of the Microsoft and Snowflakes scenarios to bear. >>You know, Casey, I appreciate that a lot of times people say Dave, don't Don't ask me that question. It's kind of uncomfortable. So, Colleen, I wanna bring you into the discussion. How does snowflake view this dynamic? Where you simultaneously partnering and competing sometimes with some of the big cloud companies on the planet? >>Yeah, Dave, I think it's a great question. And really, in this era of innovation, so many large companies, like Microsoft are so diverse in their products, said it's almost impossible for them to not have some overlap with most of their ecosystem. But I think Casey said it really well to long as we stay laser focused on the customer. Um, and there are a lot of very happy snowflake customers and happy as your customers, we really win together. And I think we're finding ways in which we're working better and better together, uh, from a technology standpoint and from a field standpoint. And customers want to see us come together and bring best of breed solution. So, um, I think we're doing a lot better, and I'm looking forward to our future to >>So Casey Snowflake, you know, they're really growing. They got a pretty large footprint on on Azure because they're gonna hundreds of customers here, you know, that are active on that platform. I >>wonder if you >>could talk about the product integration points that you kind of completed initially on then kind of what's on the horizon that you see is particularly important for your joint customers. >>You have to say so. One of the things that I love about this partnership is that while we start with what the customer wants, we bring that back into the engineering level relationship that we have between the two companies. And so that's produced some pretty, incredibly rich functionality together. So let me start by saying, You know, we've got eight azure regions today, with nine coming on soon on. So we have a geographic diversity that is important for many of our customers. We've also got a Siris of engineering level integrations that we've already built. So that's functionality for Azure privately because well, as integration between power bi I, Azure data factory and Azure data, like all of this back again to serve the business outcomes that are required for our customers. So it's this level of integration that I think really speaks to the power of the partnership, so were intently focused on the democratization of data. So we know that snowflake is the premier partner to help us do that so getting that right >>is >>key to enabling high concurrency use cases with large numbers of businesses, users coming together and getting the performance they expect. >>I appreciate that case because a lot of times, you know, look at the press release. Sometimes we laugh. We call them Barney deals. You know I love you, You love me. But I listened for, you know, the word engineering and integration. Those air sort of important triggers Colleen or Casey, too. But I want to start with Colleen. Anything you would add to that. Are there things that you guys have worked on together that you're particularly proud of, or maybe that have push the envelope and enabled new capabilities for customers Would have given you great feedback Any any examples you can share >>Great question on beer, definitely focusing on making sure stability is a core value for both of us, and so that what we offer that our customers can trust eyes going to work well and be dependable. So that's a key focus for us. Um, we're also looking at How can we advance into the future? What can we do around machine learning? It's a an area that's really exciting for a lot of the sea XO level leadership at our customers. So we're certainly focused on that. Um, and also looking at power bi I and the visualization of how do we bring these solutions together as well? I'd also say, at the same time, we're trying to make the buying experience frictionless for our customers. So we're also leveraging and innovating with azure is market place so that our customers can easily acquire Snowflake together with azure. And even that is being helpful for our customers. Casey, what are your thoughts too? Let me add to >>that. I think the work that we've done with power bi I is >>pretty >>pretty powerful. I mean, ultimately, we've got customers out there that are looking to better visualize the data better informed decisions that they're making so as much as a i n m l. And the inherent power of the data that's being stored within snowflake, um is important in and of itself. How r b I really unlocks that and helps drive better decisions, better visualization. Onda helped drive to decision outcomes that are important to the customer. So I love the work that we're doing on power by on stuff >>like, Yeah, >>you guys both mentioned, you know, machine learning. I mean, there really are an ecosystem of tools. And the thing to me about azure, it's It's all about Optionality you mentioned earlier case. You guys are a platform. So, you know, customer A may want to use power. Bi I. Another custom might want to use another visualization tool. Find from a platform perspective. You really don't care, do you? So I wonder, Colleen, if we could and again maybe case you can chime in afterwards. You guys, obviously everybody these days, but you particularly focused on customer outcomes. That's the sort of starting point and snowflake for sure, is built pretty significant experience Working with large enterprises and working along the side alongside of Microsoft. You get other partners in your experience what a customer is really looking for out of the two joint companies when they engage with Snowflake and Microsoft, so that one plus one is, you know, much bigger than 2 may be calling. You could start. >>Yeah, I definitely think that what our customers are looking for is both trust and seamlessness. They just want the technology to work. The beauty of snowflake is our ease of use. Um, so many customers have questions about their business. More so now in this guy, um, you know, pandemic world than ever before. So the seamlessness, the ease of use, um, the frictionless. All of these things really matter to our joint customers and seeing our teams come together to in the field to show. Here's how Snowflake and Azure are better together, um, in your local area and having examples of customers where we've had wind winds, which I'd say, Casey, we're getting more and more of those every day, frankly, so pretty exciting times Onda having our sales teams work as a partnership. Even though we compete, we know where we play well together on guy. See us doing that over and over again, more and more around the world to which is really important as snowflake pushes forward, you know, beyond the North America, geography ease into stronger and stronger in the global, um, regions where frankly, Microsoft had a long, storied history at, so that's very exciting, especially in Europe and Asia. >>Okay, so anything you would add to that >>Yeah, >>calling it's well said, I think it ultimately, what customers are looking for is that when our two companies come together, we bring new innovation, new ideas, new ways to solve old problems. And so I think what I love about this partnership is ultimately when we come together, whether it's engineering teams coming together to build new product, whether it's our sales and marketing teams out in front of the customers across that spectrum, I think customers looking for US toe help bring new ideas. And I love the fact that we've engineered this partnership to do to do just that. But ultimately we're focused on how do we come together and build something new and different? And I think we can solve some of the most challenging problems with the power of the data on the innovation that we're bringing to the table. >>I mean, you know, Casey, I mean, everybody is really quite an odd and amazed that Microsoft's transformation, um and really openness and willingness to really, really change and lean into some of the big waves. I >>wonder if you >>could talk about your multi platform strategy and what problems that you're solving in conjunction with snowflake. >>Yeah, let me start by saying, You know, I think as much as we appreciate that that feedback on on the progress that we've been striving for. I mean, we're still learning every day, looking for new opportunities to learn from customers from partners. And so, ah, lot of what you see on the outside is the result of a really focused culture really focusing on what's important to our customers focusing on how do we build diversity and inclusion to everything we do, whether that's within Microsoft with our partners or customers on. Ultimately, how do we show up? Aziz? One Microsoft. I call one Microsoft kind of the partners gift. It's ultimately how do our companies show up together? So I think if you look multi platform, we have the same concept, right? We have the Microsoft cloud that we're offering out in the marketplace. The Microsoft Cloud consists of what we're serving up. A Sfar is the platform consists what we're serving up for data and AI modern workplace on business applications. And so this multi cloud strategy for us is really focused on how do we bring innovation across each of the solution areas that matter most to customers And so I see, Really, the power of the snowflake partnership playing in there. >>Awesome calling. Are there any examples you can share Where, you know, maybe this partnership is unlocked. The customer opportunity or unique value? >>Yeah. I can't speak about the customer specific, but what I can do and say is, um you know, Casey and I play very corporate roles in terms of we're thinking about the long term partnership. We're driving the strategy. Um, hey, look, we'll get called in. We're working a deal right now. It's almost close of, uh, of the quarter for us who are literally working on an opportunity right now. How can we win together? How can we be competitive? The customers? The CEO has asked us to come together to work out that solution. Um, very large, well known brand and were able to get up to the very senior levels of our customer era companies very quickly to make decisions on what do we need to do to be better and stronger together? And, uh um, that's really what a partnership is about. You could do the long term plans in the strategic, and you can have great products But when you're executives, come pick up the phone and call each other toe work on a particular deal for particular customers need, uh, I think that's where the power of the partnership really comes together. And that's where we're at. And that's been a growth opportunity for us. This year's wasn't necessarily where we were at. And I really have to thank Casey for that. He's done a ton, Um, you know, getting us the right glue between our executives, making sure the relationships air there and making sure the trust is there. So when our customers needs to come together, that dialogue and the that shared addiction of putting customers first is there between both companies. So thank you, Casey. >>No, thanks. Coming. Feeling's mutual. >>Well, I think this is key because as a cent upfront, we've gone from sort of very product focused the platform focus. And now we're tapping the power of the ecosystem. That's not always easy to get all the parts moving together. But we live in this. A P I economy you could say is, Hey, I'm I'm a company. Everything is gonna be homogeneous. Everything is gonna be my stack and maybe That's one way to solve the problem. But really, that's not how customers want to solve the problem. Okay, so I'll give you last word. >>Yeah, let me just end by saying, You know, first off, the cultures between our two companies couldn't be more well aligned. So I think ultimately, when you ask yourself the question, what do we do? The best show up in front of our customers. It is focused on there. This is outcomes focused on the things that matter most to them. And this partnership will show up well, I think ultimately our greatest opportunity eyes to tap into that need that interest on. I couldn't be happier about the partnership on the fact that we are so well aligned. So thank you for that. >>Well, guys, thanks very much for coming in the Cube and unpacking some of the really critical aspects of the ecosystem was really a pleasure having you. >>Thank you so much for having us. Alright, >>Keep it right there. Everybody, this is Dave Volonte for the Cube were powering on with data Cloud Summit 2020. Keep it right there.

>> Narrator: From the cube studios in Palo Alto in Boston, it's the Cube, covering empowering the autonomous enterprise brought to you by Oracle Consulting. >> Everybody. Welcome back to this special digital presentation where we are tracking the transformation of Oracle Consulting. Aaron millstone is back, he's the senior vice president of Oracle Consulting. He's joined by Jeff Davis, who's the principal at Deloitte. He's the chief Commercial Officer for Oracle at Deloitte. Gentlemen, good to see you, welcome. We see a lot of these deals. Sometimes we call them Barney deals, you know, I love you, you love me, there's a press release and that's it. But so one of the things we look for okay, is their teeth behind this? So you guys have come up with with what you call elevate. What is elevate? How did it get started? And I have some follow up questions. >> Well, elevate, really got started when Aaron and I started to look at the assets that each of the firms possessed. On the Deloitte side as Aaron suggested, we have deep capabilities and a broad range of technologies, some of them competing technologies with Oracle. At the same time, we didn't have a great deal of depth in Oracle's technical products, Oracle Cloud infrastructure, and Oracle autonomous. Our bench was not as big as Aaron's. And Aaron also had access to Oracle development at a level that we didn't have access to. So we really found ourselves in a situation where we could put those two capabilities together, and we could offer something to our clients and the broad range of Oracle customers in the field. They had access to all of the Deloitte's capabilities which include great project management, great change management, real skill around the strategic aspects of cloud migration. And Aaron had tools and had resources trained and developed around the latest Oracle Technology, they'd always be a step ahead of any SI. So together, we felt this was really a differentiation for marketplace. >> One of the things we look forward there, is there any other integration? Are you doing co-engineering? In this case maybe not co-engineering, but are there tools that you're developing that you're taking to market that you're actually leveraging? Aaron, can you talk about that a little bit and convince us that's not just the sales play? >> Yeah, sure. And Jeff alluded to some of this earlier too, right. So we definitely each had our respective tooling, right on Deloitte investments and tools. One was called ATADATA that we've seen use quite a few times now. We've invested in something we called Oracle Soar. You know, our tools are, as you'd imagine, heavily Oracle focused it's about moving Oracle technology to Oracle Cloud, ATADATA and some of the tools that Deloitte invested in are focused more comprehensively on holistically it looking at everything in a data center and everything that's across data centers and starts to develop a set of facts around this stuff. But in both cases, we actually looked at these things. And we said, "You know what if you combine these together, "we get a very comprehensive view of what exactly "it is that we're looking at with a customer". So we can tell everything from the types of traffic we see in the network to the specific versions of stuff, we can start to identify whether there's risk associated with having things not past or out of supporter, but get a very comprehensive view that's based on facts. And so you know, we took those tools and we've combined them together so that we can go into a customer and give a complete end to end view from both an Oracle and Deloitte perspective and quite frankly, it doesn't matter whether Deloitte leads or whether Oracle leads we've developed these tools together we're going to market together and we've even got you know, the templates you'd expect consultancies to have, right? So when you look at business cases, we've got joined business case templates that we've created together and that we're using actively with customers, and therefore then we're refining them and improving them each time we do it. But you know, we're at a point now where our tools are combined, our templates are combined. And we even at this you know, we were even Jeff and I were on a call earlier, yesterday actually we even got a joint, a war room that's constantly engaging with different account teams making sure that we structurally approach things in a consistent way so that we're driving business value and using the tools appropriately. >> Aaron you and I have talked about you know, data centers and building data centers and investing. It's not just it's just not a good use of capital today. There's so many other things that organizations can do. You guys have identified data center consolidation as a call it a, you know, an initiative that you're seeing customers. I wonder if we could talk about that a little bit. Is that kind of a starting point for conversations? >> Yeah, it's well it's definitely starting point right. So we call it a referred to as infrastructure lead transformation. And appetite, the appetite for that is certainly high. We were seeing an increased focus on you know, what do customers need to do to take not just a workload here and there but how do they get out of the data center business holes? So it's sort of it's a foregone conclusion, right? Like you just said, it's not really a question of should we invest in another data center? Or should we invest in up to in our data centers? The question has changed to let's move to cloud, how do we get there? And let's move in a big way. And that's, we're seeing that dialogue across all of our customers. And quit frankly, even for Oracle, it's been a learning curve for us, right? We started with an Oracle workload conversation, which is you want to move this Oracle workloads to Oracle's cloud, you want to move that Oracle workload over to cloud. And really what we're finding is it's a wholesale transformation of everything in a data center to one or more clouds right again, often, it's a multi cloud strategy and that's okay. And we you know, we were having more bigger conversations. The thing that has been really interesting as these conversations have evolved, and especially as we work with our partners at Deloitte, has been that, you know, we think that the combination of our cloud technology, the consulting services that Oracle consulting and Deloitte can bring to bear. And then Oracle's ability to finance the whole deal makes some very compelling conversations for customers, because you can walk in to a CIO to a CFO and say, Look on day one, you can actually have a lower spend than what you have today in your data center, and get a cloud transformation underway at the same time. >> Let's talk a little bit more about that business case. Is that generally what you're seeing where it starts is let's take some costs right out and then Aaron, you and I talked about maybe investing that in the future but is that really the starting point for the vast majority of customers? Let's cut some costs right away and get a payback immediately? >> So I'd like to share our perspective. Which is, you know, nobody spends money for the sake of spending money on technology, it's got to have meaningful business value. So the conversation starts with really renewable and a path to the cloud. But there's a natural opportunity for savings in consolidation that we take advantage. We're not simply shifting from your hardware to the cloud. We're actually modernizing, which will result in significant savings. But it also gives the business something that they don't have today had at a level of security and scalability and ability to run modern technology. Much faster, much better, and much more scalable. >> Jeff, can you give us a sense as to how far you're into this elevate journey, maybe thinking about a couple of customer sizer specifically or generically, kind of where you're at with them? How far along maybe even some examples that you feel are representative. >> Sure, you know, the relationship has been probably about six, close to seven months of maturity. In that time, we've had an opportunity to work on several key clients at scale. We've worked together in collaboration on one of the nation's largest retailers in the grocery business. We've worked collaboratively in aerospace and defense, and also in the hospitality industry. In these cases, what we're finding and one is each one is in a various stage of maturity. One is done, one is in midstream, and one is at the early stages. And current economic conditions we're driving a huge pipeline right now. I think our challenge right now is making sure that we identify those clients that can best take value, take advantage of our services and our joint offering to deal with that pipeline right now. What we're finding is that the savings are at least as we projected. In some cases, we're finding even more what people say they have and what people say they do isn't necessarily what you find when you get in there. And but almost every case, we're finding that there's unused equipment, unused capacity, that they currently have redundancy, low utilization of their current assets. We can go a long way in streamlining that. Plus, I can't emphasize enough that these days security is a major concern. And we're adding a layer of security that they could never achieve themselves with soft. >> How do you guys and how to customers want to approach the transaction is it a fixed fee? Is that a TNM? Is it a situation where you participate in some of the savings or the gain? How does the pricing work? >> I'll start off by saying, each deal is really custom built around what a customer really needs. What they're trying to get out of it. Right now as an example, Op-X is very important. So we're engineering deals in a way that helps customers deal with their financial challenges, especially around Op-X. There are other structures that we can put in place. We have the backing of Oracle finance, so we can be very innovative on deals. They can be when value is attained, they can be milestone based. There's just I think, a wide variety. I don't want to say unlimited, but a wide variety of different options that we can offer our clients in order to be able to deal with whatever financial challenge or opportunity they may be looking at. >> What does success look like? You know, when you sort of you know, just less than a year in, when you're two, three, four let's say five years in and you look back, what does success look like Aaron? >> So to me successful, success is going to look like we've gotten a number of these big transformation deals in play. It's in motion naturally between our organizations not necessarily driven entirely by Jeff and I going out and driving organizational behavior right away. It's more in our DNA. But more importantly, I think we've gone into, we've gone beyond the conversation of let's move workloads we've gone into conversations of let's really talk about how to reimagine your business on top of Oracle's cloud, and have an ongoing dialogue that looks at that transformation. Once we hit that point three, four or five years from now, right, that'll be a wild success Michael. >> Jeff final comment. Deloitte has been around for 175 years. This is our birthday this year and in that time, What we've learned is there's no substitute for impact and value added to our clients. In our perspective, what success looks like is client success. Find success means improved scalability of their operations. Securing their technology and their data at a substantially lower cost, so that they can focus on what their core business is, and focus less on technology, that success to Deloitte. >> Great, guys, thanks so much. Great session, we're not only witnessing the rebirth of Oracle consulting, but there's clearly a transformation going on. And it's cultural. Gentlemen, congratulations on your partnership. And thanks so much for coming in the cube. >> Thank you so much. >> Thanks for having us.

>>Yeah, it's the queue covering the virtual vertical Big Data Conference 2020. Brought to you by vertical. >>Hi, everybody. And welcome to this cube special presentation of the vertical virtual Big Data conference. The Cube is running in parallel with Day One and day two of the vertical of Big Data event. By the way, the Cube has been every single big data event in It's our pleasure to be here in the virtual slash digital event as well. Gabriel Chapman is here. He's the director of Flash Blade Products Solutions Marketing at Pure Storage. Great to see you. Thanks for coming on. >>Great to see you too. How's it going? >>It's going very well. I mean, I wish we were meeting in Boston at the Encore Hotel, but, uh, you know, and hopefully we'll be able to meet it, accelerate at some point, future or one of the sub shows that you guys are doing the regional shows, but because we've been covering that show as well. But I really want to get into it. And the last accelerate September 2019 pure and vertical announced. Ah, partnership. I remember a joint being ran up to me and said, Hey, you got to check this out. The separation of compute and storage by EON mode now available on Flash Blade. So, uh and and I believe still the only company that can support that separation and independent scaling both on Prem and in the cloud. So I want to ask, what were the trends and analytical database and cloud led to this partnership? You know, >>realistically, I think what we're seeing is that there's been a kind of a larger shift when it comes to modern analytics platforms towards moving away from the traditional, you know, Hadoop type architecture where we were doing on and leveraging a lot of directors that storage primarily because of the limitations of how that solution was architected. When we start to look at the larger trends towards you know how organizations want to do this type of work on premises, they're looking at solutions that allow them to scale the compute storage pieces independently and therefore, you know, the flash blade platform ended up being a great solution to support America in their transition Tian mode. Leveraging essentially is an S three object store. >>Okay, so let's let's circle back on that you guys in your in your announcement of the flash blade, you make the claim that Flash Blade is the industry's most advanced file and object storage platform ever. That's a bold statement. So defend that What? >>I would like to go beyond that and just say, you know, So we've really kind of looked at this from a standpoint of, you know, as as we've developed Flash Blade as a platform and keep in mind, it's been a product that's been around for over three years now and has been very successful for pure storage. The reality is, is that fast file and fast object as a combined storage platform is a direction that many organizations are looking to go, and we believe that we're a leader in that fast object best file storage place in realistically, which we start to see more organizations start to look at building solutions that leverage cloud storage characteristics. But doing so on Prem for a multitude of different reasons. We've built a platform that really addresses a lot of those needs around simplicity around, you know, making things this year that you know, fast matters for us. Ah, simple is smart. Um we can provide, you know, cloud integrations across the spectrum. And, you know, there's a subscription model that fits into that as well. We fall that that falls into our umbrella of what we consider the modern day takes variance. And it's something that we've built into the entire pure portfolio. >>Okay, so I want to get into the architecture a little bit of flash blade and then understand the fit for, uh, analytic databases generally, but specifically for vertical. So it is a blade, so you got compute and network included. It's a key value store based system. So you're talking about scale out. Unlike, unlike, uh, pure is sort of, you know, initial products which were scale up, Um, and so I want on It is a fabric based system. I want to understand what that all means to take us through the architecture. You know, some of the quote unquote firsts that you guys talk about. So let's start with sort of the blade >>aspect. Yeah, the blade aspect of what we call the flash blade. Because if you look at the actual platform, you have, ah, primarily a chassis with built in networking components, right? So there's ah, fabric interconnect with inside the platform that connects to each one of the individual blades. Individual blades have their own compute that drives basically a pure storage flash components inside. It's not like we're just taking SSD is and plugging them into a system and like you would with the traditional commodity off the shelf hardware design. This is very much an engineered solution that is built towards the characteristics that we believe were important with fast filing past object scalability, massive parallel ization. When it comes to performance and the ability to really kind of grow and scale from essentially seven blades right now to 150 that's that's the kind of scale that customers are looking for, especially as we start to address these larger analytics pools. They are multi petabytes data sets, you know that single addressable object space and, you know, file performance that is beyond what most of your traditional scale up storage platforms are able to deliver. >>Yes, I interviewed cause last September and accelerate, and Christie Pure has been attacked by some of the competitors. There's not having scale out. I asked him his thoughts on that, he said Well, first of all, our flash blade is scale out. He said, Look, anything that adds complexity, you know we avoid. But for the workloads that are associated with flash blade scale out is the right sort of approach. Maybe you could talk about why that is. Well, >>realistically, I think you know that that approach is better when we're starting to work with large, unstructured data sets. I mean, flash blade is unique. The architected to allow customers to achieve superior resource utilization for compute and storage, while at the same time, you know, reducing significantly the complexity that has arisen around this kind of bespoke or siloed nature of big data and analytics solutions. I mean, we're really kind of look at this from a standpoint of you have built and delivered are created applications in the public cloud space of dress, you know, object storage and an unstructured data. And for some organizations, the importance is bringing that on Prem. I mean, we do see about repatriation coming on a lot of organizations as these data egress, charges continue to expand and grow, um, and then organizations that want even higher performance and what we're able to get into the public cloud space. They are bringing that data back on Prem They are looking at from a stamp. We still want to be able to scale the way we scale in the cloud. We still want to operate the same way we operate in the cloud, but we want to do it within control of our own, our own borders. And so that's, you know, that's one of the bigger pieces to that. And we start to look at how do we address cloud characteristics and dynamics and consumption metrics or models? A zealous the benefits and efficiencies of scale that they're able to afford but allowing customers to do that with inside their own data center. >>So you're talking about the trends earlier. You have these cloud native databases that allowed of the scaling of compute and storage independently. Vertical comes in with eon of a lot of times we talk about these these partnerships as Barney deals of you know I love you, You love me. Here's a press release and then we go on or they're just straight, you know, go to market. Are there other aspects of this partnership that they're non Barney deal like, in other words, any specific engineering. Um, you know other go to market programs? Could you talk about that a little bit? Yeah, >>it's it's It's more than just that what we consider a channel meet in the middle or, you know, that Barney type of deal. It's realistically, you know, we've done some first with Veronica that I think, really Courtney, if they think you look at the architecture and how we did, we've brought to market together. Ah, we have solutions. Teams in the back end who are, you know, subject matter experts. In this space, if you talk to joy and the people from vertical, they're very high on our very excited about the partnership because it often it opens up a new set of opportunities for their customers to leverage on mode and get into some of the the nuance task specs of how they leverage the depot depot with inside each individual. Compute node in adjustments with inside their reach. Additional performance gains for customers on Prem and at the same time, for them, that's still tough. The ability to go into that cloud model if they wish to. And so I think a lot of it is around. How do we partner is to companies? How do we do a joint selling motions? How do we show up in and do white papers and all of the traditional marketing aspects that we bring to the market? And then, you know, joint selling opportunities exist where they are, and so that's realistically. I think, like any other organization that's going to market with a partner on MSP that they have, ah, strong partnership with. You'll continue to see us, you know, talking about are those mutually beneficial relationships and the solutions that we're bringing to the market. >>Okay, you know, of course, he used to be a Gartner analyst, and you go to the vendor side now, but it's but it's, but it's a Gartner analyst. You're obviously objective. You see it on, you know well, there's a lot of ways to skin the cat There, there their strengths, weaknesses, opportunities, threats, etcetera for every vendor. So you have you have vertical who's got a very mature stack and talking to a number of the customers out there who are using EON mode. You know there's certain workloads where these cloud native databases makes sense. It's not just the economics of scaling and storage independently. I want to talk more about that. There's flexibility aspect as well. But Vertical really has to play its its trump card, which is Look, we've got a big on premise state, and we're gonna bring that eon capability both on Prem and we're embracing the cloud now. There obviously have been there to play catch up in the cloud, but at the same time, they've got a much more mature stack than a lot of these other cloud native databases that might have just started a couple of years ago. So you know, so there's trade offs that customers have to make. How do you sort through that? Where do you see the interest in this? And and what's the sweet spot for this partnership? You know, we've >>been really excited to build the partnership with vertical A and provide, you know, we're really proud to provide pretty much the only on Prem storage platform that's validated with the yang mode to deliver a modern data experience for our customers together. You know, it's ah, it's that partnership that allows us to go into customers that on Prem space, where I think that there's still not to say that not everybody wants to go there, but I think there's aspects and solutions that worked very well there. But for the vast majority, I still think that there's, you know, the your data center is not going away. And you do want to have control over some of the many of the assets with inside of the operational confines. So therefore, we start to look at how do we can do the best of what cloud offers but on prim. And that's realistically, where we start to see the stronger push for those customers. You still want to manage their data locally. A swell as maybe even worked around some of the restrictions that they might have around cost and complexity hiring. You know, the different types of skills skill sets that are required to bring applications purely cloud native. It's still that larger part of that digital transformation that many organizations are going for going forward with. And realistically, I think they're taking a look at the pros and cons, and we've been doing cloud long enough where people recognize that you know it's not perfect for everything and that there's certain things that we still want to keep inside our own data center. So I mean, realistically, as we move forward, that's, Ah, that better option when it comes to a modern architecture that can do, you know, we can deliver an address, a diverse set of performance requirements and allow the organization to continue to grow the model to the data, you know, based on the data that they're actually trying to leverage. And that's really what Flash was built for. It was built for a platform that could address small files or large files or high throughput, high throughput, low latency scale of petabytes in a single name. Space in a single rack is we like to put it in there. I mean, we see customers that have put 150 flash blades into production as a single name space. It's significant for organizations that are making that drive towards modern data experience with modern analytics platforms. Pure and Veronica have delivered an experience that can address that to a wide range of customers that are implementing uh, you know, particularly on technology. >>I'm interested in exploring the use case. A little bit further. You just sort of gave some parameters and some examples and some of the flexibility that you have, um, and take us through kind of what the customer discussions are like. Obviously you've got a big customer base, you and vertical that that's on Prem. That's the the unique advantage of this. But there are others. It's not just the economics of the granular scaling of compute and storage independently. There are other aspects of take us through that sort of a primary use case or use cases. Yeah, you >>know, I mean, I could give you a couple customer examples, and we have a large SAS analyst company which uses vertical on last way to authenticate the quality of digital media in real time, You know, then for them it makes a big difference is they're doing their streaming and whatnot that they can. They can fine tune the grand we control that. So that's one aspect that that we address. We have a multinational car car company, which uses vertical on flash blade to make thousands of decisions per second for autonomous vehicle decision making trees. You know, that's what really these new modern analytics platforms were built for, um, there's another healthcare organization that uses vertical on flash blade to enable healthcare providers to make decisions in real time. The impact lives, especially when we start to look at and, you know, the current state of affairs with code in the Corona virus. You know, those types of technologies, we're really going to help us kind of get of and help lower invent, bend that curve downward. So, you know, there's all these different areas where we can address that the goals and the achievements that we're trying to look bored with with real time analytics decision making tools like and you know, realistically is we have these conversations with customers they're looking to get beyond the ability of just, you know, a data scientist or a data architect looking to just kind of driving information >>that we're talking about Hadoop earlier. We're kind of going well beyond that now. And I guess what I'm saying is that in the first phase of cloud, it was all about infrastructure. It was about, you know, uh, spin it up. You know, compute and storage is a little bit of networking in there. >>It >>seems like the next new workload that's clearly emerging is you've got. And it started with the cloud native databases. But then bringing in, you know, AI and machine learning tooling on top of that Ah, and then being able to really drive these new types of insights and it's really about taking data these bog this bog of data that we've collected over the last 10 years. A lot of that is driven by a dupe bringing machine intelligence into the equation, scaling it with either cloud public cloud or bringing that cloud experience on Prem scale. You know, across organizations and across your partner network, that really is a new emerging workloads. You see that? And maybe talk a little bit about what you're seeing with customers. >>Yeah. I mean, it really is. We see several trends. You know, one of those is the ability to take a take this approach to move it out of the lab, but into production. Um, you know, especially when it comes to data science projects, machine learning projects that traditionally start out as kind of small proofs of concept, easy to spin up in the cloud. But when a customer wants to scale and move towards a riel you know, derived a significant value from that. They do want to be able to control more characteristic site, and we know machine learning, you know, needs toe needs to learn from a massive amounts of data to provide accuracy. There's just too much data retrieving the cloud for every training job. Same time Predictive analytics without accuracy is not going to deliver the business advantage of what everyone is seeking. You know, we see this. Ah, the visualization of Data Analytics is Tricia deployed is being on a continuum with, you know, the things that we've been doing in the long in the past with data warehousing, data Lakes, ai on the other end. But this way, we're starting to manifest it and organizations that are looking towards getting more utility and better elasticity out of the data that they are working for. So they're not looking to just build apps, silos of bespoke ai environments. They're looking to leverage. Ah, you know, ah, platform that can allow them to, you know, do ai, for one thing, machine learning for another leverage multiple protocols to access that data because the tools are so much Jeff um, you know, it is a growing diversity of of use cases that you can put on a single platform I think organizations are looking for as they try to scale these environment. >>I think it's gonna be a big growth area in the coming years. Gable. I wish we were in Boston together. You would have painted your little corner of Boston orange. I know that you guys have but really appreciate you coming on the cube wall to wall coverage. Two days of the vertical vertical virtual big data conference. Keep it right there. Right back. Right after this short break, Yeah.

hi everybody and welcome to this cube special presentation of the verdict of virtual Big Data conference the cube is running in parallel with day 1 and day 2 of the verdict big data event by the way the cube has been at every single big data event and it's our pleasure to be here in the virtual / digital event as well Gabriel Chapman is here is the director of flash blade product solutions marketing at pure storage gave great to see you thanks for coming on great to see you - how's it going it's going very well I mean I wish we were meeting in Boston at the Encore Hotel but you know and and hopefully we'll be able to meet it accelerate at some point you cheer or one of the the sub shows that you guys are doing the regional shows but because we've been covering that show as well but I really want to get into it and the last accelerate September 2019 pure and Vertica announced a partnership I remember a joint being ran up to me and said hey you got to check this out the separation of Butte and storage by a Eon mode now available on flash played so and and I believe still the only company that can support that separation and independent scaling both on permit in the cloud so Gabe I want to ask you what were the trends in analytical database and cloud that led to this partnership you know realistically I think what we're seeing is that there's been in kind of a larger shift when it comes to modern analytics platforms towards moving away from the the traditional you know Hadoop type architecture where we were doing on and leveraging a lot of direct attached storage primarily because of the limitations of how that solution was architected when we start to look at the larger trends towards you know how organizations want to do this type of work on premises they're looking at solutions that allow them to scale the compute storage pieces independently and therefore you know the flash play platform ended up being a great solution to support Vertica in their transition to Eon mode leveraging is essentially as an s3 object store okay so let's let's circle back on that you guys in your in your announcement of a flash blade you make the claim that flash blade is the industry's most advanced file and object storage platform ever that's a bold statement so defend that it's supposed to yeah III like to go beyond that and just say you know so we've really kind of looked at this from a standpoint of you know as as we've developed flash blade as a platform and keep in mind it's been a product that's been around for over three years now and has you know it's been very successful for pure storage the reality is is that fast file and fast object as a combined storage platform is a direction that many organizations are looking to go and we believe that we're a leader in that fast object of best file storage place in realistically would we start to see more organizations start to look at building solutions that leverage cloud storage characteristics but doing so on prem or multitude different reasons we've built a platform that really addresses a lot of those needs around simplicity around you know making things assure that you know vast matters for us simple is smart we can provide you know cloud integrations across the spectrum and you know there's a subscription model that fits into that as well we fall that that falls into our umbrella of what we consider the modern data experience and it's something that we've built into the entire pure portfolio okay so I want to get into the architecture a little bit of Flash blade and then better understand the fit for analytic databases generally but specifically Vertica so it is a blade so you got compute and a network included it's a key value store based system so you're talking about scale out unlike unlike viewers sort of you know initial products which were scale up and so I want to under in as a fabric base system I want to understand what that all mean so take us through the architecture you know some of the quote-unquote firsts that you guys talk about so let's start with sort of the blade aspect yeah the blade aspect meaning we call it a flash blade because if you look at the actual platform you have a primarily a chassis with built in networking components right so there's a fabric interconnect with inside the platform that connects to each one of the individual blades the individual blades have their own compute that drives basically a pure storage flash components inside it's not like we're just taking SSDs and plugging them into a system and like you would with the traditional commodity off-the-shelf hardware design this is a very much an engineered solution that is built towards the characteristics that we believe were important with fast file and fast object scalability you know massive parallelization when it comes to performance and the ability to really kind of grow and scale from essentially seven blades right now to a hundred and fifty that's that's the kind of scale that customers are looking for especially as we start to address these larger analytic spools they have multi petabyte datasets you know that single addressable object space and you know file performance that is beyond what most of your traditional scale-up storage platforms are able to deliver yes I interviewed cause last September and accelerate and and Christopher's been you know attacked by some of the competitors is not having a scale out I asked him his thoughts on that he said well first of all our Flash blade is scale-out and he said look anything that that that adds the complexity you know we avoid but for the workloads that are associated with Flash blade scale-out is the right sort of approach maybe you could talk about why that is well you know realistically I think you know that that approach is better when we're starting to learn to work with large unstructured data sets I mean flash plays uniquely architected to allow customers to achieve you know a superior resource utilization for compute and storage well at the same time you know reducing significantly the complexity that is arisen around these kind of bespoke or siloed nature of big data and analytic solutions I mean we really kind of look at this from a standpoint of you have built and delivered or created applications in the public cloud space that address you know object storage and and unstructured data and and for some organizations the importance is bringing that on Prem I mean we do seek repatriation that coming on on for a lot of organizations as these data egress charges continue to expand and grow and then organizations that want even higher performance in the what we're able to get into the public cloud space they are bringing that data back on Prem they are looking at from a standpoint we still want to be able to scale the way we scale on the cloud we still want to operate the same way we operate in the cloud but we want to do it within control of our own you know our own borders and so that's you know that's one of the bigger pieces to that is we start to look at how do we address cloud characteristics and dynamics and consumption metrics or models as well as the benefits and efficiencies of scale that they're able to afford but allowing customers that do that with inside their own data center yes are you talking about the trends earlier you had these cloud native databases that allowed the scaling of compute and storage independently of Vertica comes in with eon of a lot of times we talk about these these partnerships as Barney deals of you know I love you you love me here's a press release and then we go on or they're just straight you know go to market are there other aspects of this partnership that are that are non Barney deal like in other words any specific you know engineering you know other go to market programs can you talk about that a little bit yeah it's it's it's more than just you know I then what we consider a channel meet in the middle or you know that Barney type of deal it's the realistically you know we've done some first with Vertica that I think are really important if they think you look at the architecture and how we do have we've brought this to market together we have solutions teams in the back end who are you know subject matter experts in this space if you talk to joy and the people from vertigo they're very high on or very excited about the partnership because it often it opens up a new set of opportunities for their customers to to leverage Eon mode and you know get into some of the the nuanced aspects of how they leverage the depot for Depot with inside each individual compute node and adjustments with inside there I reach additional performance gains for customers on Prem and at the same time for them there's still the ability to go into that cloud model if they wish to and so I think a lot of it is around how do we partner as two companies how do we do a joint selling motions you know how do we show up and and you know do white papers and all of the the traditional marketing aspects that we bring devote to the market and then you know joint selling opportunities as exists where they are and so that's realistically I think like any other organization that's going to market with a partner or an ISP that they have a strong partnership with you'll continue to see us you know talking about our chose mutually beneficial relationships and the solutions that we're bringing to the market okay you know of course he used to be a Gartner analyst and you go over to the vendor side now but as but as it but as a gardener analyst you're obviously objective you see it all you know well there's a lot of ways to skin a cat there are there are there are strengths weaknesses opportunities threats etc for every vendor so you have you have Vertica who's got a very mature stack and and talking to a number of the customers out there we're using Eon mode you know there's certain workloads where these cloud native databases make sense it's not just the economics of scaling compute and storage independently I want to talk more about that there's flexibility aspects as well but Vertica really you know has to play its trump card which is look we've got a big on-premise state and we're gonna bring that you know Eon capability both on Prem and we're embracing the cloud now they're obviously you have to they had to play catch-up in the cloud but at the same time they've got a much more mature stack than a lot of these other you know cloud native databases that might have just started a couple of years ago so you know so there's trade-offs that customers have to make how do you sort through that where do you see the interest in this and and and what's the sweet spot for this partnership you know we've been really excited to build the partnership with Vertica and we're providing you know we're really proud to provide pretty much the only on Prem storage platform that's validated with the vertical yawn mode to deliver a modern data experience for our customers together you know it's it's that partnership that allows us to go into customers that on Prem space where I think that they're still you know not to say that not everybody wants to go the cloud I think there's aspects and solutions that work very well there but for the vast majority I still think that there's you know the your data center is not going away and you do want to have control over some of the many of the different facets with inside the operational confines so therefore we start to look at how do we can do the best of what cloud offers but on Prem and that's realistically where we start to see the stronger push for those customers who still want to manage their data locally as well as maybe even work around some of the restrictions that they might have around cost and complexity hiring you know the different types of skills skill sets that are required to bring you know applications purely cloud native it's still that larger part of that digital transformation that many organizations are going for going forward with and realistically I think they're taking a look at the pros and cons and we've been doing cloud long enough for people recognize that you know it's not perfect for everything and that there's certain things that we still want to keep inside our own data center so I mean realistically as we move forward that's that that better option when it comes to a modern architecture they can do it you know we can deliver and address a diverse set of performance requirements and allow the organization to continue to grow the model to the data you know based on the data that they're actually trying to leverage and that's really what flash Wood was built or it was built for a platform that can address small files or large files or high throughput high throughput low latency scale to petabytes in a single namespace in a single rack as we like to put it in there I mean we see customers that have put you know 150 flash blades into production as a single namespace it's significant for organizations that are making that drive towards modern data experience with modern analytics platforms pure and Vertica have delivered an experience that can address that to a wide range of customers that are implementing you know the verdict technology I'm interested in exploring the use case a little bit further you just sort of gave some parameters and some examples and some of the flexibility that you have in but take us through kind of what the discuss the customer discussions are like obviously you've got a big customer base you and Vertica that that's on prem that's the the the unique advantage of this but there are others it's not just the economics of the the granular scaling of compute and storage independently there are other aspects so to take us through that sort of a primary use case or use cases yeah you know I mean I can give you a couple customer examples and we have a large SAS analyst company which uses verdict on flash play to authenticate the quality of digital media in real time and you know then for them it makes a big difference is they're doing they're streaming and whatnot that they can they can fine tune and grandly control that so that's one aspect that that we get address we have a multi national car con company which uses verdict on flash blade to make thousands of decisions per second for autonomous vehicle decision-making trees that you know that's what really these new modern analytics platforms were built or there's another healthcare organization that uses Vertica on flash blade to enable healthcare providers to make decisions in real time the impact Ives especially when we start to look at and you know the current state of affairs with Kovac in the coronavirus you know those types of technologies are really going to help us kind of get love and and help lower and been you know bend that curve downward so you know there's all these different areas where we can address the goals and the achievements that we're trying to look bored with with real-time analytic decision making tools like Berta and you know realistically as we have these conversations with customers they're looking to get beyond the ability of just you know you know a data scientist or a data architect looking to just kind of drive in information we were talking about Hadoop earlier we're kind of going well beyond that now and I guess what I'm saying is that in the first phase of cloud it was all about infrastructure it was about you know spinning up you know compute and storage a little bit of networking in there seems like the the a next a new workload that's clearly emerging is you've got and it started with the cloud databases but then bringing in you know AI and machine learning tooling on top of that and then being able to really drive these new types of insights and it's really about taking data these bogs this bog of data that we've collected over the last 10 years a lot of that you know driven by Hadoop bringing machine intelligence into the equation scaling it with either cloud public cloud or bringing that cloud experience on prams scale you know across your organizations and across your partner network that really is a new emerging work load do you see that and maybe talk a little bit about you know what you're seeing with customers yeah I mean it really is we see several trends you know one of those is the ability to take a take this approach to move it out of the lab but into production you know especially when it comes to you know data science projects machine learning projects that traditionally start out as kind of small proofs of concept easy to spin up in the cloud but when a customer wants to scale and move towards a real you know it derived a significant value from that they do want to be able to control more characteristics right and we know machine learning you know needs to needs to learn from a massive amounts of data to provide accuracy there's just too much data to retrieve in the cloud for every training job at the same time predictive analytics without accuracy is not going to deliver the business advantage of what everyone is seeking you know we see this the visualization of data analytics is traditionally deployed as being on a continuum with you know the things that we've been doing in the long you know in the past you know with data warehousing data lakes AI on the other end but but this way we're starting to manifest it in organizations that are looking towards you know getting more utility and better you know elasticity out of the data that they are working for so they're not looking to just build ups you know silos of bespoke AI environments they're looking to leverage you know a platform that can allow them to you know do a I for one thing machine learning for another leverage multiple protocols to access that data because the tools are so much different you know it is a growing diversity of of use cases that you can put on a single platform I think organizations are looking for as they try to scale these environments I think there's gonna be a big growth area in the coming years gay ball I wish we were in Boston together you would have painted your little corner of Boston Orange I know that you guys are sharing but I really appreciate you coming on the cube wall-to-wall coverage two days at the vertical Vertica virtual big data conference keep you right there but right back right after this short break [Music]

hi everybody and welcome to this cube special presentation of the verdict of virtual Big Data conference the cube is running in parallel with day 1 and day 2 of the verdict big data event by the way the cube has been at every single big data event and it's our pleasure to be here in the virtual / digital event as well Gabriel Chapman is here is the director of flash blade product solutions marketing at pure storage gave great to see you thanks for coming on great to see you - how's it going it's going very well I mean I wish we were meeting in Boston at the Encore Hotel but you know and and hopefully we'll be able to meet it accelerate at some point you cheer or one of the the sub shows that you guys are doing the regional shows but because we've been covering that show as well but I really want to get into it and the last accelerate September 2019 pure and Vertica announced a partnership I remember a joint being ran up to me and said hey you got to check this out the separation of Butte and storage by a Eon mode now available on flash played so and and I believe still the only company that can support that separation and independent scaling both on permit in the cloud so Gabe I want to ask you what were the trends in analytical database and cloud that led to this partnership you know realistically I think what we're seeing is that there's been in kind of a larger shift when it comes to modern analytics platforms towards moving away from the the traditional you know Hadoop type architecture where we were doing on and leveraging a lot of direct attached storage primarily because of the limitations of how that solution was architected when we start to look at the larger trends towards you know how organizations want to do this type of work on premises they're looking at solutions that allow them to scale the compute storage pieces independently and therefore you know the flash play platform ended up being a great solution to support Vertica in their transition to Eon mode leveraging is essentially as an s3 object store okay so let's let's circle back on that you guys in your in your announcement of a flash blade you make the claim that flash blade is the industry's most advanced file and object storage platform ever that's a bold statement so defend that it's supposed to yeah III like to go beyond that and just say you know so we've really kind of looked at this from a standpoint of you know as as we've developed flash blade as a platform and keep in mind it's been a product that's been around for over three years now and has you know it's been very successful for pure storage the reality is is that fast file and fast object as a combined storage platform is a direction that many organizations are looking to go and we believe that we're a leader in that fast object of best file storage place in realistically would we start to see more organizations start to look at building solutions that leverage cloud storage characteristics but doing so on prem or multitude different reasons we've built a platform that really addresses a lot of those needs around simplicity around you know making things assure that you know vast matters for us simple is smart we can provide you know cloud integrations across the spectrum and you know there's a subscription model that fits into that as well we fall that that falls into our umbrella of what we consider the modern data experience and it's something that we've built into the entire pure portfolio okay so I want to get into the architecture a little bit of Flash blade and then better understand the fit for analytic databases generally but specifically Vertica so it is a blade so you got compute and a network included it's a key value store based system so you're talking about scale out unlike unlike viewers sort of you know initial products which were scale up and so I want to under in as a fabric base system I want to understand what that all mean so take us through the architecture you know some of the quote-unquote firsts that you guys talk about so let's start with sort of the blade aspect yeah the blade aspect meaning we call it a flash blade because if you look at the actual platform you have a primarily a chassis with built in networking components right so there's a fabric interconnect with inside the platform that connects to each one of the individual blades the individual blades have their own compute that drives basically a pure storage flash components inside it's not like we're just taking SSDs and plugging them into a system and like you would with the traditional commodity off-the-shelf hardware design this is a very much an engineered solution that is built towards the characteristics that we believe were important with fast file and fast object scalability you know massive parallelization when it comes to performance and the ability to really kind of grow and scale from essentially seven blades right now to a hundred and fifty that's that's the kind of scale that customers are looking for especially as we start to address these larger analytic spools they have multi petabyte datasets you know that single addressable object space and you know file performance that is beyond what most of your traditional scale-up storage platforms are able to deliver yes I interviewed cause last September and accelerate and and Christopher's been you know attacked by some of the competitors is not having a scale out I asked him his thoughts on that he said well first of all our Flash blade is scale-out and he said look anything that that that adds the complexity you know we avoid but for the workloads that are associated with Flash blade scale-out is the right sort of approach maybe you could talk about why that is well you know realistically I think you know that that approach is better when we're starting to learn to work with large unstructured data sets I mean flash plays uniquely architected to allow customers to achieve you know a superior resource utilization for compute and storage well at the same time you know reducing significantly the complexity that is arisen around these kind of bespoke or siloed nature of big data and analytic solutions I mean we really kind of look at this from a standpoint of you have built and delivered or created applications in the public cloud space that address you know object storage and and unstructured data and and for some organizations the importance is bringing that on Prem I mean we do seek repatriation that coming on on for a lot of organizations as these data egress charges continue to expand and grow and then organizations that want even higher performance in the what we're able to get into the public cloud space they are bringing that data back on Prem they are looking at from a standpoint we still want to be able to scale the way we scale on the cloud we still want to operate the same way we operate in the cloud but we want to do it within control of our own you know our own borders and so that's you know that's one of the bigger pieces to that is we start to look at how do we address cloud characteristics and dynamics and consumption metrics or models as well as the benefits and efficiencies of scale that they're able to afford but allowing customers that do that with inside their own data center yes are you talking about the trends earlier you had these cloud native databases that allowed the scaling of compute and storage independently of Vertica comes in with eon of a lot of times we talk about these these partnerships as Barney deals of you know I love you you love me here's a press release and then we go on or they're just straight you know go to market are there other aspects of this partnership that are that are non Barney deal like in other words any specific you know engineering you know other go to market programs can you talk about that a little bit yeah it's it's it's more than just you know I then what we consider a channel meet in the middle or you know that Barney type of deal it's the realistically you know we've done some first with Vertica that I think are really important if they think you look at the architecture and how we do have we've brought this to market together we have solutions teams in the back end who are you know subject matter experts in this space if you talk to joy and the people from vertigo they're very high on or very excited about the partnership because it often it opens up a new set of opportunities for their customers to to leverage Eon mode and you know get into some of the the nuanced aspects of how they leverage the depot for Depot with inside each individual compute node and adjustments with inside there I reach additional performance gains for customers on Prem and at the same time for them there's still the ability to go into that cloud model if they wish to and so I think a lot of it is around how do we partner as two companies how do we do a joint selling motions you know how do we show up and and you know do white papers and all of the the traditional marketing aspects that we bring devote to the market and then you know joint selling opportunities as exists where they are and so that's realistically I think like any other organization that's going to market with a partner or an ISP that they have a strong partnership with you'll continue to see us you know talking about our chose mutually beneficial relationships and the solutions that we're bringing to the market okay you know of course he used to be a Gartner analyst and you go over to the vendor side now but as but as it but as a gardener analyst you're obviously objective you see it all you know well there's a lot of ways to skin a cat there are there are there are strengths weaknesses opportunities threats etc for every vendor so you have you have Vertica who's got a very mature stack and and talking to a number of the customers out there we're using Eon mode you know there's certain workloads where these cloud native databases make sense it's not just the economics of scaling compute and storage independently I want to talk more about that there's flexibility aspects as well but Vertica really you know has to play its trump card which is look we've got a big on-premise state and we're gonna bring that you know Eon capability both on Prem and we're embracing the cloud now they're obviously you have to they had to play catch-up in the cloud but at the same time they've got a much more mature stack than a lot of these other you know cloud native databases that might have just started a couple of years ago so you know so there's trade-offs that customers have to make how do you sort through that where do you see the interest in this and and and what's the sweet spot for this partnership you know we've been really excited to build the partnership with Vertica and we're providing you know we're really proud to provide pretty much the only on Prem storage platform that's validated with the vertical yawn mode to deliver a modern data experience for our customers together you know it's it's that partnership that allows us to go into customers that on Prem space where I think that they're still you know not to say that not everybody wants to go the cloud I think there's aspects and solutions that work very well there but for the vast majority I still think that there's you know the your data center is not going away and you do want to have control over some of the many of the different facets with inside the operational confines so therefore we start to look at how do we can do the best of what cloud offers but on Prem and that's realistically where we start to see the stronger push for those customers who still want to manage their data locally as well as maybe even work around some of the restrictions that they might have around cost and complexity hiring you know the different types of skills skill sets that are required to bring you know applications purely cloud native it's still that larger part of that digital transformation that many organizations are going for going forward with and realistically I think they're taking a look at the pros and cons and we've been doing cloud long enough for people recognize that you know it's not perfect for everything and that there's certain things that we still want to keep inside our own data center so I mean realistically as we move forward that's that that better option when it comes to a modern architecture they can do it you know we can deliver and address a diverse set of performance requirements and allow the organization to continue to grow the model to the data you know based on the data that they're actually trying to leverage and that's really what flash Wood was built or it was built for a platform that can address small files or large files or high throughput high throughput low latency scale to petabytes in a single namespace in a single rack as we like to put it in there I mean we see customers that have put you know 150 flash blades into production as a single namespace it's significant for organizations that are making that drive towards modern data experience with modern analytics platforms pure and Vertica have delivered an experience that can address that to a wide range of customers that are implementing you know the verdict technology I'm interested in exploring the use case a little bit further you just sort of gave some parameters and some examples and some of the flexibility that you have in but take us through kind of what the discuss the customer discussions are like obviously you've got a big customer base you and Vertica that that's on prem that's the the the unique advantage of this but there are others it's not just the economics of the the granular scaling of compute and storage independently there are other aspects so to take us through that sort of a primary use case or use cases yeah you know I mean I can give you a cup of customer examples and we have a large SAS analyst company which uses verdict on flash play to authenticate the quality of digital media in real time and you know then for them it makes a big difference is they're doing they're streaming and whatnot that they can they can fine tune and grandly control that so that's one aspect that we get address we have a multi national car con company which uses verdict on flash blade to make thousands of decisions per second for autonomous vehicle decision-making trees that you know that's what really these new modern analytics platforms were built or there's another healthcare organization that uses Vertica on flash blade to enable healthcare providers to make decisions in real time the impact Ives especially when we start to look at and you know the current state of affairs with Kovac in the coronavirus you know those types of technologies are really going to help us kind of get love and and help lower and been you know bend that curve downward so you know there's all these different areas where we can address the goals and the achievements that we're trying to look bored with with real-time analytic decision making tools like Berta and you know realistically as we have these conversations with customers they're looking to get beyond the ability of just you know you know a data scientist or a data architect looking to just kind of drive in information we were talking about Hadoop earlier we're kind of going well beyond that now and I guess what I'm saying is that in the first phase of cloud it was all about infrastructure it was about you know spinning up you know compute and storage a little bit of networking in there seems like the the a next a new workload that's clearly emerging is you've got and it started with the cloud databases but then bringing in you know AI and machine learning tooling on top of that and then being able to really drive these new types of insights and it's really about taking data these bogs this bog of data that we've collected over the last 10 years a lot of that you know driven by Hadoop bringing machine intelligence into the equation scaling it with either cloud public cloud or bringing that cloud experience on prams scale you know across your organizations and across your partner network that really is a new emerging work load do you see that and maybe talk a little bit about you know what you're seeing with customers yeah I mean it really is we see several trends you know one of those is the ability to take a take this approach to move it out of the lab but into production you know especially when it comes to you know data science projects machine learning projects that traditionally start out as kind of small proofs of concept easy to spin up in the cloud but when a customer wants to scale and move towards a real you know it derived a significant value from that they do want to be able to control more characteristics right and we know machine learning you know needs to needs to learn from a massive amounts of data to provide accuracy there's just too much data to retrieve in the cloud for every training job at the same time predictive analytics without accuracy is not going to deliver the business advantage of what everyone is seeking you know we see this the visualization of data analytics is traditionally deployed as being on a continuum with you know the things that we've been doing in the long you know in the past you know with data warehousing data lakes AI on the other end but but this way we're starting to manifest it in organizations that are looking towards you know getting more utility and better you know elasticity out of the data that they are working for so they're not looking to just build ups you know silos of bespoke AI environments they're looking to leverage you know a platform that can allow them to you know do a I for one thing machine learning for another leverage multiple protocols to access that data because the tools are so much different you know it is a growing diversity of of use cases that you can put on a single platform I think organizations are looking for as they try to scale these environments I think there's gonna be a big growth area in the coming years gay ball I wish we were in Boston together you would have painted your little corner of Boston Orange I know that you guys are sharing but I really appreciate you coming on the cube wall-to-wall coverage two days at the vertical Vertica virtual big data conference keep you right there but right back right after this short break [Music]

six five four three two one hi everybody and welcome to this cube special presentation of the verdict of virtual big data conference the cube is running in parallel with day 1 and day 2 of the verdict the big data event by the way the cube has been at every single big data event and it's our pleasure to be here in the virtual / digital event as well Gabriel Chapman is here is the director of flash blade product solutions marketing at pure storage Gabe great to see you thanks for coming on great to see you - how's it going it's going very well I mean I wish we were meeting in Boston at the Encore hotel but you know and and hopefully we'll be able to meet it accelerate at some point you cheer or one of the the sub shows that you guys are doing the regional shows but because we've been covering that show as well but I really want to get into it and the last accelerate September 2019 pure and Vertica announced a partnership I remember a joint being ran up to me and said hey you got to check this out the separation of Butte and storage by a Eon mode now available on flash played so and and I believe still the only company that can support that separation and independent scaling both on prime and in the cloud so gave I want to ask you what were the trends in analytical database and plowed that led to this partnership you know realistically I think what we're seeing is that there's been kind of a larger shift when it comes to modern analytics platforms towards moving away from the the traditional you know Hadoop type architecture where we were doing on and leveraging a lot of direct mass storage primarily because of the limitations of how that solution was architected when we start to look at the larger trends towards you know how organizations want to do this type of work on premises they're looking at solutions that allow them to scale the compute storage pieces independently and therefore you know the flash blade platform ended up being a great solution to support Vertica in their transition to Eon mode leveraging >> essentially as an s3 object store okay so let's let's circle back on that you guys in your in your announcement of a flash blade you make the claim that flash blade is the industry's most advanced file and object storage platform ever that's a bold statement I defend that it's supposed to yeah I I like to go beyond that and just say you know so we've really kind of looked at this from a standpoint of you know as as we've developed flash Wade as a platform and keep in mind it's been a product that's been around for over three years now and has you know it's been very successful for pure storage the reality is is that fast file and fast object as a combined storage platform is a direction that many organizations are looking to go and we believe that we're a leader in that fast object of best file storage place in realistically which we start to see more organizations start to look at building solutions that leverage cloud storage characteristics but doing so on prem for a multitude of different reasons we've built a platform that really addresses a lot of those needs around simplicity around you know making things assure that you know vast matters for us simple is smart we can provide you know cloud integrations across the spectrum and you know there's a subscription model that fits into that as well we fall that falls into our umbrella of what we consider the modern day day experience and it's something that we've built into the entire pure portfolio okay so I want to get into the architecture a little bit of Flash blade and then better understand the fit for analytic databases generally but specifically for Vertica so it is a blade so you got compute and a network included it's a key value store based system so you're talking about scale out unlike unlike viewers sort of you know initial products which were scale up and so I want to as a fabric base system I want to understand what that all mean so take us through the architecture you know some of the quote-unquote firsts that you guys talk about so let's start with sort of the blade aspect yeah the blade aspect mean we call it a flash blade because if you look at the actual platform you have a primarily a chassis with built in networking components right so there's a fabric interconnect with inside the platform that connects to each one of the individual blades the individual blades have their own compute that drives basically a pure storage flash components inside it's not like we're just taking SSDs and plugging them into a system and like you would with the traditional commodity off-the-shelf hardware design this is a very much an engineered solution that is built towards the characteristics that we believe were important with fast file and fast object scalability you know massive parallelization when it comes to performance and the ability to really kind of grow and scale from essentially seven blades right now to a hundred and fifty that's that's the kind of scale that customers are looking for especially as we start to address these larger analytics pools mayo multi petabyte datasets you know that single addressable object space and you know file performance that is beyond what most of your traditional scale-up storage platforms are able to deliver yeah I saw you interviewed cause last September and accelerate and and Christopher's been you know attacked by some of the competitors is not having a scale out I asked them his thoughts on that he said well first of all our flash plate is scale out he said look anything that that that adds the complexity you know we avoid but for the workloads that are associated with Flash blade scale out is the right sort of approach maybe you could talk about why that is well you know realistically I think you know that that approach is better when we're starting to learn to work with large unstructured data sets I mean flash plays uniquely architected to allow customers to achieve you know a superior resource utilization for compute and storage well at the same time you know reducing significantly the complexity that is arisen around these kind of bespoke or siloed nature of big data and analytic solutions I mean we really kind of look at this from a standpoint of you have built and delivered or created applications in the public cloud space that address you know object storage and and unstructured data and and for some organizations the importance is bringing that on Prem I mean we do seek repatriation that coming on for a lot of organizations as these data egress charges continue to expand and grow and then organizations that want even higher performance in the what we're able to get into the public cloud space they are bringing that data back on Prem they are looking at from a standpoint we still want to be able to scale the way we scale on the cloud we still want to operate the same way we operate in the cloud but we want to do it within control of our own you know our own borders and so that's you know that's one of the bigger pieces to that is we start to look at how do we address cloud characteristics and dynamics and consumption metrics or models as well as the benefits and efficiencies of scale that they're able to afford but allowing customers that do that with inside their own data center so you're talking about the trends earlier you had these cloud native databases that allowed the scaling of compute and storage independently Vertica comes in with Eon a lot of times we talk about these these partnerships as Barney deals of you know I love you you love me here's a press release and then we go on or they're just straight you know go to market are there other aspects of this partnership that are that are non Barney deal like in other words any specific you know engineering you know other go to market programs could you talk about that a little bit yeah it's it's it's more than just you know I then what we consider a channel meet in the middle or you know that Barney type of deal it's realistically you know we've done some first with Vertica that I think are really important if they think you look at the architecture and how we do how we've brought this to market together we have solutions teams in the back end who are you know subject matter experts in this space if you talk to joy and the people from vertigo they're very high on they're very excited about the partnership because it often it opens up a new set of opportunities for their customers to to leverage Eon mode and you know get into some of the the nuanced aspects of how they leverage the Depot or Depot with inside each individual compute node and adjustments with inside there I reach additional performance gains for customers on Prem and it's the same time for them there's still the ability to go into that cloud model if they wish to and so I think a lot of it is around how do we partner as two companies how do we do a joint selling motions you know how do we show up and and you know do white papers and all of the the traditional marketing aspects that we bring into the market and then you know joint selling opportunities exist where they are and so that's realistically I think like any other organization that's going to market with a partner or an ISP that they have a strong partnership with you'll continue to see us you know talking about our shows mutually beneficial relationships and the solutions that we're bringing it to the market okay you know of course he used to be a Gartner analyst and you go over to the vendor side now but as but as it but as a gardener analyst you're obviously objective you see it all and you know well there's a lot of ways to skin a cat there are there are there are strengths weaknesses opportunities threats etc for every vendor so you have you have Vertica who's got a very mature stack and and talking to a number of the customers out there who are using Eon mode you know there's certain workloads where these cloud native databases make sense it's not just the economics of scaling compute and storage independently I want to talk more about that there's flexibility aspects as well but Vertica really you know has to play its trump card which is look we've got a big on-premise state and we're gonna bring that you know Eon capability both on Prem and we're embracing the cloud now they're obviously having they had to play catch-up in the cloud but at the same time they've got a much more mature stack than a lot of these other you know cloud native databases that might have just started a couple years ago so you know so there's trade-offs that customers have to make how do you sort through that where do you see the interest in this and and and what's the sweet spot for this partnership you know we've been really excited to build the partnership with Vertica and we're providing you know we're really proud to provide pretty much the only on Prem storage platform that's validated with the vertical Aeon mode to deliver a modern data experience for our customers together you know it's it's that partnership that allows us to go into customers that on Prem space where I think that they're still you know not to say that not everybody wants to go the cloud I think there's aspects and then solutions that work very well there but for the vast majority I still think that there's you know the your data center is not going away and you do want to have control over some of the many of the different facets with inside the operational confines so therefore we start to look at how do we can do the best of what cloud offers but on Prem and that's realistically where we start to see the stronger push for those customers you still want to manage their data locally as well as maybe even work around some of the restrictions that they might have around cost and complexity hiring you know the different types of skills skill sets that are required to bring you know applications purely cloud native it's still that larger part of that digital transformation that many organizations are going for going forward with and realistically I think they're taking a look at the pros and cons and we've been doing cloud long enough where people recognize that you know it's not perfect for everything and that there's certain things that we still want to keep inside our own data center so I mean realistically as we move forward that's that that better option when it comes to a modern architecture they can do it you know we can deliver and address a diverse set of performance requirements and allowed the organization to continue to grow the model to the data you know based on the data that they're actually trying to leverage and that's really what flash Wood was built for it was built for a platform that can address small files or large files or high throughput high throughput low latency scale to petabytes in a single namespace in a single rack as we like to put it in there I mean we see customers that have put you know 150 flash blades into production as a single namespace it's significant for organizations that are making that drive towards modern data experience with modern analytics platforms pure and Vertica have delivered an experience that can address that to a wide range of customers that are implementing you know the verdict technology I'm interested in exploring the the use case a little bit further you just sort of gave some parameters and some examples and some of the flexibility that you have in but take us through kind of what to discuss the customer discussions are like obviously you've got a big customer base you and Vertica that that's on prem that's the the unique advantage of this but there are others it's not just the economics of the granular scaling of compute and storage independently there are other aspects so to take us through that sort of a primary use case or use cases yeah you know I mean I can give you a couple customer examples and we have a large SAS analyst company which uses verdict on flash play to authenticate the quality of digital media in real time and you know then for them it makes a big difference is they're doing they're streaming and whatnot that they can they can fine tune and grandly control that so that's one aspect that we need to address we have a multi national car company which uses verdict on flash blade to make thousands of decisions per second for autonomous vehicle decision making trees you know that's what really these new modern analytics platforms were built for there's another healthcare organization that uses Vertica on flash blade to enable healthcare providers to make decisions in real time the impact vibes especially when we start to look at and you know the current state of affairs little Co vid and the coronavirus you know those types of technologies are really going to help us kind of get love and and help lower and been you know bend that curve downward so you know there's all these different areas where we can address the goals and the achievements that we're trying to look bored with with real-time analytic decision making tools like birth and you know realistically as we have these conversations with customers they're looking to get beyond the ability of just you know you know a data scientist or a data architect looking to just kind of drive in information you know you know I'm gonna set this model up and we'll come back in a day now we need to make these and the performs characteristics the Aeon mode and vertical allows for can get us towards this almost near real-time analytics decision-making process and that the customers and that's the kind of conversations that we're having with customers who really need to be able to turn this around very quickly instead of waiting well I think you're hitting on something that is actually pretty relevant and that is that near real-time analytic you know database we were talking about Hadoop earlier we're kind of going well beyond that now and I guess what I'm saying is that in the first phase of cloud it was all about infrastructure it was about you know spinning up you know compute and storage a little bit of networking in there seems like the the a next a new workload that's clearly emerging is you've got and it started with the cloud native databases but then bringing in you know AI and machine learning tooling on top of that and then being able to really drive these new types of insights and it's really about taking data these bogs this bog of data that we've collected over the last 10 years a lot of that you know driven by Hadoop bringing machine intelligence into the equation scaling it with either cloud public cloud or bringing that cloud experience on-premise scale you know across your organizations and across your partner network that really is a new emerging work load do you see that and maybe talk a little bit about you know what you're seeing with customers yeah I mean it really is we see several trends you know one of those is the ability to take a take this approach to move it out of the lab but into production you know especially when it comes to you know data science projects machine learning projects that traditionally start out as kind of small proofs of concept easy to spin up in the cloud but when a customer wants to scale and move towards a real you know that derived a significant value from that they do want to be able to control more characteristics right and we know machine learning you know needs to needs to learn from a massive amounts of data to provide accuracy there's just too much data to retrieve in the cloud for every training job at the same time predictive analytics without accuracy is not going to deliver the business advantage of what everyone is seeking you know we see this the visualization of data analytics is traditionally deployed as being on a continuum with you know the things that we've been doing in the long you know in the past you know with data warehousing data lakes AI on the other end but but this way we're starting to manifest it in organizations that are looking towards you know getting more utility and better you know elasticity out of the data that they are working for so they're not looking to just build ups you know silos of bespoke AI environments they're looking to leverage you know a platform that can allow them to you know do a I for one thing machine learning for another leverage multiple protocols to access that data because the tools are so much different you know it is a growing diversity of of use cases that you can put on a single platform I think organizations are looking for as they try to scale these environments I think there's gonna be a big growth area in the coming years Gabe well I wish we were in Boston together you would have painted your little corner of Boston Orange I know that you guys are sure but I really appreciate you coming on the cube and thank you very much have a great day you too okay thank you everybody for watching this is the cubes coverage wall-to-wall coverage two days of the vertical Vertica virtual Big Data conference keep her at their very back right after this short break

Locke from Las Vegas X the cube covering AWS reinvent 2019 brought to you by Amazon Web Services and Vinum care along with its ecosystem partners we're back in Las Vegas everybody this is day one of AWS reinvent 2019 and you're watching the cube the leader in live tech coverage we go out to the events we extract the signal from the noise hump day Volante with my co-host Justin Warren Linden Lucas is here as the CMO of cohesively great to see you again Joe's rockin it's hoppin your boots packed we were just over there bright green as always so we stand out amongst to see if what is it 65,000 folks here this year 5,000 yeah so give us the update what's happening with a kahin City you guys are rocking how's business this is great we have fully transitioned to be a software company we've had a hundred percent year-over-year growth in our software business customers are looking to cohesively for data management and especially customers here at reinvent we're doing a lot with the cloud AWS has grown 20x for us here over year in terms of our our growth with them and we have an exciting new announcement here around how cohesive a is now validated to protect and backup workloads on AWS outposts one of the announcements this morning great so that mean that to me that's I always ask how you gonna back this up you know and it really didn't have a good answer so congratulations on that but also they're gonna bring outposts to the edge we saw the 5g announcement and so that's something that people have been side I think struggling with it because they know a lot of data is going to remain at the edge you've got to protect it act on it in real time so so talk about the engineering that went into that it's you know usually these things require some intense engineering on both sides unless it's a Barney deal this is a Barney deal no all right so yeah a lot of engineers we have a fine fine group of engineers at cohesively collaborating with AWS but it really starts at the heart of it with what our founder mode Aaron the distributed file system we call it span FS and it spans from core to cloud to edge and so you brought up the outpost edge and I'm sure that we'll be able to span that way but we also span today and I think in this world and it was talked about in the keynote is so important hybrid from core to the AWS cloud right because so many organizations have a lot on premises still and they are working to figure out how to get it to AWS easily and simply and then keep the whole thing protected so you guys are pretty aligned with AWS on definitions I think but let me just test that so Andy Jesse would say and I think he said this publicly we consider multi-cloud multiple public clouds I'm not sure he used that word multi cloud but you know what he's talking about and then we consider anything on Prem has to be hybrid and I think you guys use that same sort of and I think for where cohesively serves which is mid-sized enterprise on up to some of the largest global companies and public sector organizations we see a lot of use of hybrid cohesive a also runs natively in the cloud so we run natively in AWS and there's a lot of new cloud native applications but we also want to support what customers are doing and that's hybrid for sure so the other follow-up I have on that is the notion of data management you guys you don't it's not just back up its data management I want to understand how much of that is good marketing talking to the CMO versus sort of substance that the customers actually take advantage of so what do you mean by data management it's a great question and I'm going to say yes to the good marketing too but in all seriousness so what is what is data management and we have the you know the red spot is say we're redefining it and and how do we back that up we think of data management of course as you've got a store protect manage that data but now in today's world that is simply not enough it has to be recoverable and available when you want because backup as an insurance policy that doesn't work doesn't do anyone good but more than that we went beyond that and we're looking at how do customers both protect against cyber risks as well as gain insights from their data and when we talk about redefining data management we're talking about rethinking how you get those insights out of your data or protect against risks on the platform in place so applications run in place on the cohesive edata platform and I think Andy talked about that this morning too right it's difficult in these today's ever increasing amounts of data how do you have customers ship petabytes of data around easily it's not scalable for them or operationally cost-effective so we're talking about letting them gain those insights or protect against those risks in place yeah you did mention that bringing the compute to the data instead of the other way around which has been a long a problem for a long long time and that's that's something that I'm keen to understand a bit about how Co he said he's doing something differently because this has been a promise for quite some time where we've been backing up systems and putting all of this data into it into a big backup pool that sort of just sits there and getting a bit annoyed that we're spending all this money for something which is sitting there just being an insurance policy so we want to do more with this data and that's always been the promise and people have had a go at it a few times but no one's really been very successful but it sounds like cohesive is actually finally maybe cracked it so what is it that you're doing that allows us to finally happen well we like to think so so MOA Daren our founder was formerly the CTO of new tonics often called the father of hyperconvergence as well as at Google invented one of the first web scale file systems out there so underpinning all of this and how do we do this is a true web-scale file system it's his third generation web-scale file system which has a number of really unique properties so in terms of your specific question around reusing that data is providing zero cost clones and copies that enable that reuse of that data whether that be for developers or whether that be for someone doing some analytics so and that of course just like because we're Software Defined is running on white box hardware from us but also certified units from Cisco Dell also HPE and others to come so I was gonna mention that the advantage of software is that you can have that same experience wherever you can deploy the software so I don't just have to buy an appliance and have it sit in my datacenter I can actually well I like that but I would actually like to have that run in AWS and as you mentioned you can now run that both in AWS and I could run it on side on an AWS outpost so I can get both the on-site experience and the AWS experience at the same time as well as the cohesive experience yes a lot of experiences all the one well we want the customer of course to look at it from their their vantage point but yes so two points their software platform so it's a software-defined platform and part of this from not just a technology point of view but from that customer experience point of view is yes you can run that software on-premises in a cloud in a virtual environment and from a business model point of view one license we don't care you choose how you want a deployment from it a view point of view we provide one manageable one management view helios of it but that's one way to view everything managed under cohesively of course it's not going to get in the way of the Amazon tools so simple to manage and also simple to consume from the transaction perspective but but so simplicity big theme what what else that customers really excited about what do they tell you well a big theme here for us and one of the ways that we see customers getting more value out of their data and their Amazon investment we introduced an application running on the cohesive platform called run book and run book allows very simple migrations from your on-premise environment to AWS ec2 and so that's been something that's been really popular in fact surprised us a little bit it's the first step right now it's a migration but we'll be adding capability to it for full orchestration for either dr scenarios or true dr and it's so simple it's dragon top drop so that engineering team has made this really simple to do so teams can easily figure out how am I going to move my applications to the cloud and in what order am I going to bring them up again in a really simple drag-and-drop way what about tearing you know when I go by your booth I see it's got some capabilities there I'm interested in how you were you pick up or where where you pick up where Amazon leaves off with what they've announced help us understand that great question and we did thank you for for mentioning bring new support in for deep glacier so cohesive these support steering to all the different Amazon tiers so we've always had automated policies that you can set it as an administrator and decide hey I've done a backup on Prem and after 30 days or whatever your time frame is I'm going to move that up to AWS got a lot of customers doing that our customer AutoNation that's one of their use cases we also support the ability for you to use cohesively to change which tier you want to store in on Amazon in an intelligent way and so that's an area that I think we complement Amazon so essentially if I understand it you'll you'll manager this near the superset if the customer wants that and then Amazon you plug into what Amazon does and they'll optimize on their end you could take advantage of that that's transparent to the customer that's right possible because we're a modern architecture with native s3 and so we can plug right in to what customers want to do with Amazon so okay let's dig it to that what means modern well how do you guys define mod we define modern as design principles and philosophy born in the cloud native world right so unlike some of the legacy architectures that literally were invented ten or so years ago with before we had reinvent Co he city was built with native s3 and uniquely that support for the enterprise modalities of NFS and SMB and allowing at that file system level people to move their data back and forth between those two environments but with a very simple user interface on top of that that provides the backup the archive dr the types of capabilities or use cases that customers want with their most important asset their data yeah go ahead please transformations been a bit of a theme of the show certainly two of day one and Co hazily is transformed itself into a purely software company as you've mentioned what what's next what do you see happening for Co hey city and with customers how are they going to be both transforming themselves together into the future yeah great question and I like to use that word carefully because I think as a marketer it can be little over you know used yeah but if it's seriously what I see I think we're on a 10 15 year journey all of us to transform our businesses to take advantage of data because it's clear now I think to most if you don't you will be left behind and it's only a matter of time and so the hard part is I talked to CIOs and other IT leaders is well how do I get a handle on that data right and cohesive provides an incredible platform to simplify that management storage protection of that data so you can take advantage of some of the other really cool applications and vendors that are here how we continue to transform and how I see customers transforming is that promise of bringing compute to the data I think we're in the super early days but if I've got all of my data accessible and visible to me now what kinds of insights can I gain from it Splunk runs on the cohesive a platform as another exhibitor here but also how can I prevent risk how can I ensure that I'm compliant with regulations and I think there's a lot of work to be done both at cohesively and developing out those new applications as well as with our customers taking advantage of it we could actually pushing around the just at being an Amazon partner so you seem pretty happy business is growing you're the leading if not one of the leading growth partners of Amazon that's cool but a lot of people question Amazon in terms of you know them being fearful that Amazon's gonna eat their lunch we asked and Jesse about that and the in the analyst session and basically his answer was look at these markets are so huge and and I think as well I'd add to that you've got to keep innovating now my specific question is Amazon does some backup stuff it's not nearly as functional as your and other you know backup software data management suppliers but what's your perspective on that obviously it's it's good its growth now you guys think about that you just kind of keep putting the pedal to the metal actually I think I'd agree with him I've never had the pleasure of meeting him in person but you know I think all businesses have to keep their pedal to the metal very innovation and we certainly do but this is a massive market and a massive transformation and cohesive helps enterprise customers of all sizes and types and most of them are struggling with today in the early stages how to get control of their data how to manage it know what they have and I think they feel that that is both a problem within the cloud but also on-premises and that's a very large market for us and I think for Amazon as well so we're super happy to be partners with Amazon a rising tide lifts all boats as I often like to say and I think that's going to remain true for a long time yeah I mean I think you know a lot of ways you just got to create in this market and the competition will take care of itself if you pay attention to customers and they tell you what they're interested in and you respond to that you tend to do pretty well despite the disruptions that might be going around view in the market at least that's what I think a big part of our philosophy is when asked a question about from a CML perspective in this data world he talked about there we run this decade-long transformation to put data at the core of our business how do you as a CMO put data at the core of of your business oh my gosh so the first thing I do is I'm asking and working with our engineering team because any modern business and modern CMO should be getting data about their customers and what they're doing with their product directly into the marketing intelligence and so that's an area that I'm really interested in and I press so as an internal customer to our head of engineering I am trying my best because the technology around me and marketing is changing so rapidly to absorb that and understand that and I think pay attention to my own advice and try not to date my customer for the first time 50 times as maybe many of us have experienced as consumers and use that data as best as I can to know how to address a customer's issue or problem when they're ready and the technology around it is continually improving and so it makes it really exciting to be in marketing and to be a marketing leader right now you actually pulling metadata out of your software to understand how customers are using your product is that right you can see some and there I have a long list into engineering on Oh imagine if we could I would like to know and hopefully not in a creepy way but in a way of serving the customer and making them aware of new capabilities I'll tell you one of the common things between cohesively and Amazon customers that I hear is that the pace of innovation is very high we put out four hundred plus new features last calendar year so more than they feature a day and that's the that's the God's honest truth I've heard the same thing from Amazon customers they struggle with understanding all the rich capability that's coming so with data if we can hone in a little bit and say you may be interested in this based on what we know similar to perhaps the shopping experience that we have I think that's helpful to customers because if I can narrow it in I don't have time as a consumer to search through everything and I think in business and in IT the same holds true so yes we're trying to do more of that yeah if you can use data to match my needs as a customer and it maybe even recommend things that are going to help my business I'm going to be appreciative of that as long as we you don't recommend that I start a couch collection because I brought happen to buy one couch which I'm sure we've all had that experience so it is important to get it right and I like that you brought up that not to do it in a creepy way but understanding that customers do find this valuable we find with our own consulting clients and our analyst clients talking to them that a lot of them trust vendors like cohesively with their data and you've built that trust because you you you've been able to show that you can be trusted over a long period of time so I think as long as you continue to do that customers are quite happy for you to start exploring this because they know that they're going to get a better result at the end of it as you mentioned I was like I'll get a good recommendation if you're actually serving me and making my business work better of course I'm going to want to do that and I think you earned that trust every day yes so what should we be looking for 2024 he city milestones things you want to share with us well we look forward to continued you know significant growth we're over 1,300 customers now globally and we see continued massive growth in the cloud I'm sure as many here are experiencing and just really continuing to serve our customers I think that's what we keep our eye focused on be humble keep learning it's a mantra from mowett and that's what we're gonna keep doing and and growing the business and helping our customers with that well it's been fun watching you guys grow the ascendancy of cohesive you kind of matching in with cloud and in hybrid Lynne thanks so much for coming on the Qubo as a pleasure thank you guys it's been great to be here as always all right keep it right there everybody look back with our next guest Dave Volante for Justin Warren you're watching the cube from reinvent 2019 we'll be right back [Music]