(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)

>>Hello everyone. I'm John furry with the cube. We're here, live on the ground in Seattle, Washington at the Bellevue Hilton for thes marketplace seller conference. It's kind of like the one and a half inaugural event. They have their first event in 2019, and now with the pandemic, they're re rebooting it, but it's really all about AWS's marketplace and partner network coming together, creating an experience for how people will be buying software and how people will be selling through with their ecosystem. I'm Jennifer, the cube we're here with Megan. Fontain, who's the VP of cloud seek. Who's a seller and partner of AWS making great to see you. Thanks for coming on the cube. >>Thank you so much. It's, it's nice to be back in person and it's great to be with you. >>So watching the progression of how Amazon web services is evolving the marketplace and the partner network, you're starting to see some patterns. One is, I'll say they have their own stuff, and they're addressing that in the room, but they're really letting the thousand flowers bloom in the ecosystem. You hear that every year reinvent, even when Andy Jesse who's now the CEO of Amazon would say, no, we want the best of breed. Best product wins. Adam. Celeste's the same view, new leadership here, the combination of APN partner network with the marketplace now partner organization, APO is the big news. They're open. They're building an API service layer between their old marketplace to create this new model here. What's your, what's your, what's your take? What's your seller view? >>Yeah, so our marketplace and APN journey started with AWS about three years ago. And I think something that was the most profound to me out of the keynote this morning was that Chris Gus, who runs the API organization for ISVs talked about marketplace as the automation layer for how AWS will partner going forward. So an independent software vendor likes, we see that as opening up the door for two things. One, we get to leverage the great global scale and platform of AWS, but then secondly, it really brings together this idea that we will sell together to the end customer through the marketplace. And we will also sell as partners through co-sell and APM. >>You know, I love these kind of new, new development models around channel partners, ISVs at the end of the day, buyers are buying software. Yes. And they're cloud they're on a cloud journey. You're the VP of cloud at the company, your company seek take a minute to explain what your company's known for, what you guys do, your relationship with the market. You're an ISV. Yeah. Where are you guys? Cuz you guys ha have a good thing going on here. What do you guys do? What are you known for >>Sure. So seek is market leading software for advanced analytics for the manufacturing industry. So we're squarely in that industry. ISV, we sell SAS solutions to business buyers who want two things. One is they want technology that they can deploy quickly in their organizations drive that great business value ROI that drives the next level of investment in technology seeks unique offering in marketplace is that we've solved a lot of the challenges around that operational data in manufacturing. So manufacturing the industry, it's going through massive transformation, supply chain, disruption, or coming out of that, the globalization of manufacturing. And yet they have data that they've stored for 20, 30 years, that they're still in the first generation of trying to gain insights from. So that's why seek exists. It's really to bring the insights outta that data and then help the manufacturing customers we work with. Get to the cloud. >>What's interesting. I like your perspective and I want to follow up on that because data analytics used to be this thing. Well, I got a database. Yeah. You hosted on some storage and you got structured data, unstructured data. Okay. You got scale. But now you've got data platforms. You've got data mesh. I think Gardner actually has a different term, but gets a whole nother conversation. Data platforms are diverse. Yeah. They're pervasive. They're part of core infrastructure in cloud. It's not like a point solution anymore. It's gotta be integrated and customers are trying to work on, this is one of the hardest problems today. Yeah. In cloud transformation is the data layer, the relationship to other services. Yeah. >>So the Dataverse common data models. How APIs will interact with data. The trend there though is something that it is the ecosystem that will bring value to customers because no database is gonna serve every need. Right. And you think about the data layer. It really has to solve the problems whereby any application, any user, any insight can be generated almost seamlessly. And we're really on the first wave of that journey. But I think a, an element for seek that we certainly understand with our customers is that data alone is not an end objective, right? If it doesn't lead to a decision and an action and a workflow that humans can take to go drive and improvement in their business process, then you haven't tapped into the, you know, value of that technology >>When a buyer comes to the marketplace. Yeah. And they see your listing and solutions. Yes. What are they getting? What are they, what, what are they buying? >>So for seek, we've radically simplified that we, we really embrace this idea of simplification. We just sell, seek. So we have one seat listing in the AWS marketplace, all applications of seek they're all available there. We really leaned into the enterprise procurement models. So private offers are how we do the most of our business on marketplace. And it really went from a stage of experimentation where couple of customers, you know, what is this marketplace? Maybe we'll buy a few of our business applications there all the way through to now we're starting to see the demand side come through for customers where it's not just their security software or their DevOps or infrastructure software. They wanna buy solutions like seek including line of business buyers through a common catalog in the marketplace. >>Great. So I wanna ask you, cuz I want to give you the opportunity to give the pitch, the customer watching right now. Yeah. What's the pitch. Why seek, why this listing? Why should they hit the purchase button? I wish it was that easy. Why should they, why should they what's the pitch? Sure. >>So the first thing is seek through marketplace is a five clicks on three screens procurement experience. So compare that to months and months of back and forth with contracts and purchase orders and vendor set up, this is five less than five minutes, few screens, couple of clicks. And you can buy a multi-year subscription of seek to cover your entire enterprise. The second pitch is that it's a SaaS application that now can be deployed within hours. And then your users, your insights, your value is starting within the first couple hours. This is not a heavy lift it project. That's gonna take months. And then lastly seek specifically. So seek, because we're validated in the marketplace has been well architected for AWS cloud. We have that, you know, stamp of credibility. And we are leading in this space for manufacturing organizations who want cloud native secure software for analytics on their operational data. >>That's awesome. And customers have the challenge when they think about data, the use case security, yes governance, there's a variety of different use cases. What are you seeing as the top three use cases for C? >>So on the there's two lines of that question. The first is really the line of business use cases. And those are all about what outcome are we gonna drive? Are we gonna approve efficiency in your factory? Are we gonna reduce greenhouse gas emissions? Those are the kinds of use cases on the business side that that seek works with our customers on, on the it side. They wanna know that we can access data securely, that we can be part of an ecosystem where they can bring in aerations and algorithms and machine learning and new applications. And they also wanna know that we are sustainable. So meaning that we're driving constant innovation that is easy for them to consume and to gain access, to, to drive the next level of >>Improvement. My final AWS marketplace seller question is, yeah. How does the procurement process through marketplace help you and your customers what's in it for them? What value do the, does the customer get going through AWS procuring? >>So there's really really three. The first is you get a validated set of a catalog of solutions, right? That AWS says, you know, we undergo a rigorous process technically and commercially to be in the marketplace. The second thing for procurement effect of for procurement professionals is that they can leverage their cloud committed spend with AWS. So as they commit more expense and spend with AWS, now these marketplace purchases can be credited to that committed expense. We found that brings it and the business together with procurement to really work more collectively on that. And then the third piece is, imagine buying software where you don't need legal, you know, back and forth, back and forth because we're using a standard doula that thousands of other software companies are using in the marketplace today. >>I thought the keynote had a great line. We are not just a website of a catalog. We are a API service layer. Yes. With automation, more like a C I C D pipe lining. Yes. Of software. Yeah. And we are hearing more and more about software supply chain, more about scaling. This is kind of the future of procurement. Why wouldn't you buy direct, pick a few buttons and assemble your solutions at scale. >>There's some amount of tenant consequences that we've really learned as well. It brings it and the business closer together. So the it person wants to know, well, what is this seek, you know, piece of my AWS invoice. And so they get more engaged earlier in the process with procurement, with the business. And we've actually found that it brings internally for our customers, more people to the seat at the table around what are the applications and how will they govern them across the enterprise. >>Megan, I really appreciate you taking the time to speak with me here at the, at the conference, the seller S marketplace. I have to ask you, we were talking before we came on camera, you made a comment. I'd like you to share this comment with some commentary. You said I'm the VP of cloud transformation. And in the future that might title might not exist. Explain what you mean there, cuz I think this is kind of a telling moment about where we are at this point in the industry. >>Sure. So maybe it's, maybe it's funny to sort of envision a future where your role doesn't exist. But I think, you know, it's a to innovators do that, right? And for us we're a software company. That's going through the transition on-prem to SAS, you know, cloud native sets of applications, but in the pretty near term fore, really the next two years, all of our business will be SaaS and cloud. And so we won't need a separate VP or a separate team or separate function. It will just be how the business operates. >>Megan, thanks for running cue, Meghan bine, who is SI, she's a cloud VP of cloud transformation, VP of cloud, and she's successful. The title will go away and she'll move on to some other great valuable things like running the business. Thanks for coming on. Thank you so much. Okay. This is a cube here in Seattle. We're covering the eights marketplace seller conference. Part of APN merging with Amazon marketplace now called the APO Amazon partner organization. I'm John ER, with the cube. Thanks for watching.

>>Hello. And welcome back to the cubes live coverage here in Seattle for the cubes coverage of AWS marketplace seller conference. Now part of really big move and news, Amazon partner network combines with AWS marketplace to form one organization, the Amazon partner organization, APO where the efficiencies, the next iteration, as they say in Amazon language, where they make things better, simpler, faster, and, and for customers is happening. We're here with Chris Cruz, who's the general manager, worldwide leader of ISV alliances and marketplace, which includes all the channel partners and the buyer and seller relationships all now under one partner organization, bringing together years of work. Yes. If you work with AWS and are a partner and, or sell with them, all kind of coming together, kind of in a new way for the next generation, Chris, congratulations on the new role and the reor. >>Thank you. Yeah, it's very exciting. We're we think it invent, simplifies the process on how we work with our partners and we're really optimistic so far. The feedback's been great. And I think it's just gonna get even better as we kind of work out the final details. >>This is huge news because one, we've been very close to the partner that we've been working with and we talking to, we cover them. We cover the news, the startups from startups, channel partners, big ISVs, big and small from the dorm room to the board room. You guys have great relationships. So check marketplace, the future of procurement, how software will be bought, implemented and deployed is also changed. So you've got the confluence of two worlds coming together, growth in the ecosystem. Yep. NextGen cloud on the horizon for AWS and the customers as digital transformation goes from lift and shift to refactoring businesses. Yep. This is really a seminal moment. Can you share what you talked about on the keynote stage here, around why this is happening now? Yeah. What's the guiding principle. What's the north star where, why what's what's the big news. >>Yeah. And so, you know, a lot of reasons on why we kind of, we pulled the two teams together, but you know, a lot of it kind gets centered around co-sell. And so if you take a look at marketplace where we started off, where it was really a machine image business, and it was a great self-service model and we were working with ISVs that wanted to have this new delivery mechanism on how to bring in at the time was Amazon machine images and you fast forward, we started adding more product types like SAS and containers. And the experience that we saw was that customers would use marketplace for kind of up to a certain limit on a self-service perspective. But then invariably, they wanted by a quantity discount, they wanted to get an enterprise discount and we couldn't do that through marketplace. And so they would exit us and go do a direct deal with a, an ISV. >>And, and so to remedy that we launched private offers, you know, four years ago. And private offers now allowed ISVs to do these larger deals, but do 'em all through marketplace. And so they could start off doing self-service business. And then as a customer graduated up to buying for a full department or an organization, they can now use private offers to execute that larger agreement. And it, we started to do more and more private offers, really kind of coincided with a lot of the initiatives that were going on within Amazon partner network at the time around co-sell. And, and so we started to launch programs like ISV accelerate that really kind of focused on our co-sell relationship with ISVs. And what we found was that marketplace private offers became this awesome way to automate how we co-sell with ISV. And so we kinda had these two organizations that were parallel. We said, you know what, this is gonna be better together. If we put together, it's gonna invent simplify and we can use marketplace private offers as part of that co-sell experience and really feed that automation layer for all of our ISVs as they interacted with native >>Discussions. Well, I gotta give you props, you and Mona work on stage. You guys did a great job and it reminds me of the humble nature of AWS and Amazon. I used to talk to Andy jazzy about this all the time. That reminds me of 2013 here right now, because you're in that mode where Amazon reinvent was in 2013. Yeah. Where you knew it was breaking out. Yeah. Everyone's it was kind of small, but we haven't made it yet. Yeah. But you guys are doing billions of vows in transactions. Yeah. But this event is really, I think the beginning of what we're seeing as the change over from securing and deploying applications in the cloud, because there's a lot of nuanced things I want to get your reaction on one. I heard making your part product as an ISV, more native to AWS's stack. That was one major call out. I heard the other one was, Hey, if you're a channel partner, you can play too. And by the way, there's more choice. There's a lot going on here. That's about to kind of explode in a good way for customers. Yeah. Buyers get more access to assemble their solutions. Yeah. And you got all kinds of like business logic, compensation, integration, and scale. Yeah. This is like unprecedented. >>Yeah. It's, it's exciting to see what's going on. I mean, I think we kind of saw the tipping point probably about two years ago, which, you know, prior to that, you know, we would be working with ISVs and customers and it was really much more of an evangelism role where we were just getting people to try it. Just, just list a product. We think this is gonna be a good idea. And if you're a buyer, it's like just try out a private offer, try out a self, you know, service subscription. And, and what's happened now is there's no longer a lot of that convincing that needs to happen. It's really become accepted. And so a lot of the conversations I have now with ISVs, it's not about, should I do marketplace it's how do I do it better? And how do I really leverage marketplace as part of my co-sell initiatives as, as part of my go to market strategy. >>And so you've, you've really kind of passed this tipping point where marketplaces are now becoming very accepted ways to buy third party software. And so that's really exciting. And, and we see that we, you know, we can really enhance that experience, you know, and what we saw on the machine image side is we had this awesome integrated experience where you would buy it. It was tied right into the EC two control plane. And you could go from buying to deploying in one single motion. SAS is a little bit different, you know, we can do all the buying in a very simple motion, but then deploying it. There's a whole bunch of other stuff that our customers have to do. And so we see all kinds of ways that we can simplify that. You know, recently we launched the ability to put third party solutions outta marketplace, into control tower, which is how we deploy all of our landing zones for AWS. And now it's like, instead of having to go wire that up as you're adding new AWS environments, why not just use that third party solution that you've already integrated to you and have it there as you're span those landing zones through >>Control towers, again, back to humble nature, you guys have dominated the infrastructure as a service layer. You kind of mentioned it. You didn't really kind of highlight it other than saying you're doing pretty good. Yeah. On the IAS or the technology partners as you call or infrastructure as you guys call it. Okay. I can see how the, the, the pan, the control panel is great for those customers. But outside that, when you get into like CRM, you mentioned E R P these business apps, these horizontal and verticals have data they're gonna have SageMaker, they're gonna have edge. They might have, you know, other services that are coming online from Amazon. How do I, as an ISV, get my stuff in there. Yeah. And how do I succeed? And what are you doing to make that better? Cause I know it's kind of new, but not new. Yeah, >>No, it's not. I mean, that's one of the things that we've really invested on is how do we make it really easy to list marketplace? And, you know, again, when we first start started, it was a big, huge spreadsheet that you had to fill out. It was very cumbersome and we've really automated all those aspects. So now we've exposed an API as an example. So you can go straight out of your own build process and you might have your own C I CD pipeline. And then you have a build step at the end. And now you can have that execute marketplace update from your build script, right across that API all the way over to AWS marketplace. So it's taking that effectively, a C CD pipeline from an ISV and extending it all the way to AWS and then eventually to a customer, because now it's just an automated supply chain for that software coming into their environment. And we see that being super powerful. There's nowhere manual steps >>Along. Yeah. I wanna dig into that because you made a comment and I want you to clarify it here in the cube. Some have said, even us on the cube. Oh, marketplace. Just the website's a catalog. Yeah. Feels old school. Yeah. Feels like 1995 database. I'm kind of just, you know, saying no offense sake. And now you're saying, you're now looking at this and, and implementing more of a API based. Why is that relevant? I'm I know the answer. You already set up with APIs, but explain the transition from the mindset of it's a website. Yeah. Buy stuff on a catalog to full blown API layer. Yeah. Services. >>Absolutely. Well, when you look at all AWS services, you know, our customers will interface, you know, they'll interface them through a console initially, but when they're using them in production, they're, it's all about APIs and marketplace, as you mentioned, did start off as a website. And so we've kind of taken the opposite approach. We've got this great website experience, which is great for demand gen and, you know, highlighting those listings. But what we want to do is really have this API service layer that you're interfacing with so that an ISV effectively is not even in our marketplace. They interfacing over APIs to do a variety of their high, you know, value functions, whether it's listing soy, private offers. We don't have that all available through APIs and the same thing on the buyer side. So it's integrating directly into their AWS environment and then they can view all their third party spend within things like our cost management suites. They can look at things like cost Explorer, see third party software, right next to first party software, and have that all integrated this nice as seamless >>For the customer. That's a nice cloud native kind of native experience. I think that's a huge advantage. I'm gonna track that closer. We're we're gonna follow that. I think that's gonna be the killer killer feature. All right. Now let's get to the killer feature and the business logic. Okay. Yeah. All partners all wanna know what's in it for me. Yeah. How do I make more cash? Yeah. How do I compensate my sales people? Yeah. What do you guys don't compete with me? Give me leads. Yeah. Can I get MDF market development funds? Yeah. So take me through the, how you're thinking about supporting the partners that are leaning in that, you know, the parachute will open when they jump outta the plane. Yeah. It's gonna be, they're gonna land safely with you. Yeah. MDF marketing to leads. What are you doing to support the partners to help them serve their >>Customers? It's interesting. Market marketplace has become much more of an accepted way to buy, you know, our customers are, are really defaulting to that as the way to go get that third party software. So we've had some industry analysts do some studies and in what they found, they interviewed a whole cohort of ISVs across various categories within marketplace, whether it was security or network or even line of business software. And what they've found is that on average, our ISVs will see a 24% increased close rate by using marketplace. Right. So when I go talk to a CRO and say, do you want to close, you know, more deals? Yes. Right. And we've got data to show that we're also finding that customers on average, when an ISV sales marketplace, they're seeing an 80% uplift in the actual deal size. And so if your ASP is a hundred K 180 K has a heck of a lot better, right? >>So we're seeing increased deal sizes by going through marketplace. And then the third thing that we've seen, that's a value prop for ISVs is speed of closure. And so on average, what we're finding is that our ISVs are closing deals 40% faster by using marketplace. So if you've got a 10 month sales cycle, shaving four months off of a sales cycle means you're bringing deals in, in an earlier calendar year, earlier quarter. And for ISVs getting that cash flow early is very important. So those are great metrics that we're seeing. And, and, you know, we think that they're only >>Gonna improve and from startups who also want, they don't have a lot of cash ISVs that are rich and doing well. Yeah. They have good, good, good, good, good to market funding. Yeah. You got the range of partners and you know, the next startup could be the next Figma could be in that batch startups. Exactly. Yeah. You don't know the game is changing. Yeah. The next brand could be one of those batch of startups. Yeah. What's the message to the startup community. Yeah. >>I mean, marketplace in a lot of ways becomes a level in effect, right. Because, you know, if, if you look at pre marketplace, if you were a startup, you were having to go generate sales, have a sales force, go compete, you know, kind of hand to hand with these largest ISVs marketplace is really kind of leveling that because now you can both list in marketplace. You have the same advantage of putting that directly in the AWS bill, taking advantage of all the management go features that we offer all the automation that we bring to the table. And so >>A lot of us joint selling >>And joint selling, right? When it goes through marketplace, you know, it's gonna feed into a number of our APN programs like ISV accelerate, our sales teams are gonna get recognized for those deals. And so, you know, it brings nice co-sell behavior to how we work with our, our field sales teams together. It brings nice automation that, you know, pre marketplaces, they would have to go build all that. And that was a heavy lift that really now becomes just kind of table stakes for any kind of ISV selling to an, any of >>Customer. Well, you know, I'm a big fan of the marketplace. I've always have been, even from the early days, I saw this as a procurement game changer. It makes total sense. It's so obvious. Yeah. Not obvious to everyone, but there's a lot of moving parts behind the scenes behind the curtain. So to speak that you're handling. Yeah. What's your message to the audience out there, both the buyers and the sellers. Yeah. About what your mission is, what you're you wake up every day thinking about. Yeah. And what's your promise to them and what you're gonna work on. Cause it's not easy. You're building a, an operating model. That's not a website. It's a full on cloud service. Yeah. What's your promise. And what's >>Your goals. No. And like, you know, ultimately we're trying to do from an Aus market perspective is, is provide that selection experience to the ABUS customer, right? There's the infamous flywheel that Jeff put together that had the concepts of why Amazon is successful. And one are the concepts he points to is the concept of selection. And, and what we mean by that is if you come to Amazon it's is effectively that everything stored. And when you come across, AWS marketplace becomes that selection experience. And so that's what we're trying to do is provide whatever our AWS customers wanna buy, whatever form factor, whatever software type, whatever data type it's gonna be available in AWS marketplace for consumption. And that ultimately helps our customers because now they can get whatever technologies that they need to use alongside Avis. >>And I want, wanna give you props too. You answered the hard question on stage. I've asked Andy EY this on the cube when he was the CEO, Adam Celski last year, I asked him the same question and the answer has been consistent. We have some solutions that people want a AWS end to end, but your ecosystem, you want people to compete yes. And build a product and mostly point to things like snowflake, new Relic. Yeah. Other people that compete with Amazon services. Yeah. You guys want that. You encourage that. Yeah. You're ratifying that same statement. >>Absolutely. Right. Again, it feeds into that selection experience. Right. If a customer wants something, we wanna make sure it's gonna be a great experience. Right. And so a lot of these ISVs are building on top of AWS. We wanna make sure that they're successful. And, you know, while we have a number of our first party services, we have a variety of third party technologies that run very well in a AWS. And ultimately the customer's gonna make their decision. We're customer obsessed. And if they want to go with a third party product, we're absolutely gonna support them in every way shape we can and make sure that's a successful experience for our customers. >>I, I know you referenced two studies check out the website's got buyer and seller surveys on there for Boer. Yeah. I don't want to get into that. I want to just end on one. Yeah. Kind of final note, you got a lot of successful buyers and a lot of successful sellers. The word billions, yes. With an S was and the slide. Can you say the number, how much, how many billions are sold yeah. Through the marketplace. Yeah. And the buyer experience future what's those two things. >>Yeah. So we went on record at reinvent last year, so it's approaching it birthday, but it was the first year that we've in our 10 year history announced how much was actually being sold to the marketplace. And, you know, we are now selling billions of dollars to our marketplace and that's with an S so you can assume, at least it's two, but it's, it's a, it's a large number and it's going >>Very quickly. Yeah. Can't disclose, you know, >>But it's a, it's been a very healthy part of our business. And you know, we look at this, the experience that we >>Saw, there's a lot of headroom. I mean, oh yeah, you have infrastructure nailed down. That's long, you get better, but you have basically growth up upside with these categor other categories. What's the hot categories. You >>Know, we, we started off with infrastructure related products and we've kind of hit critical mass there. Right? We've, there's very few ISVs left that are in that infrastructure related space that are not in our marketplace. And what's happened now is our customers are saying, well, I've been buying infrastructure products for years. I'm gonna buy everything. I wanna buy my line of business software. I wanna buy my vertical solutions. I wanna buy my data and I wanna buy all my services alongside of that. And so there's tons of upside. We're seeing all of these either horizontal business applications coming to our marketplace or vertical specific solutions. Yeah. Which, you know, when we first designed our marketplace, we weren't sure if that would ever happen. We're starting to see that actually really accelerate because customers are now just defaulting to buying everything through their marketplace. >>Chris, thanks for coming on the queue. I know we went a little extra long. There wanted to get that clarification on the new role. Yeah. New organization. Great, great reorg. It makes a lot of sense. Next level NextGen. Thanks for coming on the cube. Okay. >>Thank you for the opportunity. >>All right here, covering the new big news here of AWS marketplace and the AWS partner network coming together under one coherent organization, serving fires and sellers, billions sold the future of how people are gonna be buying software, deploying it, managing it, operating it. It's all happening in the marketplace. This is the big trend. It's the cue here in Seattle with more coverage here at Davis marketplace sellers conference. After the short break.

>>Welcome back to the cubes coverage here in Seattle for AWS marketplace seller conference, the combination of the Amazon partner network, combined with the marketplace from the AWS partner organization, the APO and John Forer host of the queue, bringing you all the action and what it all means. Our next guest is Trisha kata, Malva, chief strategy officer at DataRobot. Great to have you. Thanks for coming on. >>Thank you, John. Great to be here. >>So DataRobot obviously in the big data business data is the big theme here. A lot of companies are in the marketplace selling data solutions. I just ran into snowflake person. I ran into another data analyst company, lot of, lot of data everywhere. You're seeing security. You're seeing insights a lot more going on with data than ever before. It's one of the most popular categories in the marketplace. Talk about DataRobot what you guys are doing. What's your product in there? Yeah, >>Absolutely. John. So we are an artificial intelligence machine learning platform company. We have been around for 10 years. This is this year marks our 10th anniversary and we provide a platform for data scientists and also citizen data scientists. So essentially wanna be data scientists on the business side to rapidly experiment with data and to get insights and then productionize ML models. So the 100% workflow that goes into identifying the data that you need for machine learning and then building models on top of that and operationalizing a, >>How big is the company, roughly employee count? What's the number in >>General general, about a thousand employees. And we have customers all over the world. Our biggest verticals are financial services, insurance, manufacturing, healthcare pharma, all the highly regulated, as well as our tech presence is also growing. And we have people spread across multiple geographies and I can't disclose a customer number, but needless to say, we have hundreds of customers across the >>World. A lot of customers. Yeah, yeah. You guys are well known in the industry have been following some of the recent news lately as well. Yeah. Obviously data's exploding. What in the marketplace are you guys offering? What's the pitch, someone hits the marketplace that wants to buy DataRobot what's the pitch. >>The pitch is if you're looking to get real value from your data science, personal investments and your data, then you have DataRobot that you can download from your AWS marketplace. You can do a free trial and essentially get from, get value from data in a matter of minutes and not months or quarters, that's generally associated with IML. And after that, if you want to purchase you, it's a private offer on, in the marketplace. So you need to call DataRobot representative, but AWS marketplace offers a fantastic distribution channel for us. >>Yeah. I mean, one of the things I heard Chris say, who's now heading up the marketplace and the partner network was the streamlining, a lot of the benefits for the sellers and for the buyers to have a great experience buyers. Clearly we see this as a macro trend, that's gonna only get stronger in terms of self-service buying bundling, having the console on AWS for low level services like infrastructure. But now you've got other business applications that like analytics applies to. You're seeing that work. Now he said things like than the keynote, I wanna get your reaction to like, we're gonna make this more like a C I C D pipeline. We're gonna have more native services built into AWS. What that means to me is that sounds like, oh, if I have a solution, like DataRobot, that can be more native into AWS level services. How do you see that working out for you guys is that play well for your strategy and your customers? What's the, what's the what's resonating with the >>Customers. It plays extremely well with the strategy. So I call this as a win, win, win strategy, win for DataRobot win for customers and win for AWS, which is our partner. And it's a win for DataRobot because the amount of people, the number of eyeballs that look at AWS marketplace, a significantly higher than, than the doors that we can go knock on. So it's a distribution multiplier for us. And the integration into AWS services that you're talking about. It is very important because in this day and age, we need to be interoperable with cloud player services that they offer, whether it is with SageMaker or Redshift, we support all of those. And it's a win for customers because customers, it is a very important growing buyer persona for DataRobot. Yeah. And they already have pre-committed spend with AWS and they can use the, those spend dollars for DataRobot to procure DataRobot. So it eases their procurement life cycle as >>Well. It's a forced multiplier on, on the revenue side, correct? I mean, as well as, as on the business front cost of sales, go down the cost of order dollar. Correct. This is good. Goodness. >>It's it's definitely sorry, just to finish my thought on the win for the partner for AWS. It's great win for them because they're getting the consumption from the partner side, to your point on the force multiplier. Absolutely. It is a force multiplier on the revenue side, and it's great for customers and us, because for us, we have seen that the deal size increases when there is the cloud commit that we can draw down for, for our customers, the procurement cycle shortens. And also we have multiple constituencies within the customers working together in a very seamless fashion. >>How has the procurement going through AWS helped your customers? What specific things are you seeing that are popping out as benefits to the customer? >>So from a procurement standpoint, we, we are early in our marketplace journey. We got listed about a year ago, but the amount of revenue that has gone through marketplace is pretty significant at DataRobot. We experienced like just in, by, I think this quarter until this quarter, we got like about 20 to 30 transactions that went through AWS marketplace. And that is significant within just a year of us operating on the marketplace. And the procurement becomes easier for our customers. Yeah. Because they trust AWS and we can put our legal paperwork through the AWS machine as well, which we haven't done yet. But if we do that, that'll be a further force multiplier because that's the, the less friction there is. >>I like how you say that it's a machine. Yeah. And if you think about the benefits too, like one of the things that I see happening, and I love to get your thoughts because I think this is what's happening here. Infrastructure services, I get that IAS done hardware I'm oversimplifying, but all the, all the goodness, but as customers have business apps and vertical market solutions, you got more AI involved. You need more data that's specialized for that use case. Or you need a business application. Those, you don't hear words like let's provision that app. I mean, your provision hardware and, and infrastructure, but the, the new net cloud native is that you provision turn on the apps. So you're seeing the wave of building apps are composing Lego blocks, if you will. So it seems like the customers are starting to assemble the solution, almost like deploying a service, correct. And just pressing a button. And it happens. This seems to be where the, the business apps are going. >>Yeah, absolutely. You agree for us? We are, we are a data science platform and for us being very close to the data that the customers have is very important. And where if, if the customer's data is in Redshift, we are close to there. So being very close to the hyperscale or ecosystem in that entire C I C D pipeline, and also the data platform pipeline is very important. >>You know, what's interesting is, is the data is such a big part of, I mean, DevOps infrastructure has code has been the movement for decade. Yeah. So throw security in there. It's dev SecOps. Yeah. That is the developer now. Yeah. They're running essentially what used to be it now the new ops is security and data. Yeah. You see, in those teams really level up to be highly high velocity data meshes, semantic layer. These are words I'm hearing in the industry around the big waves of data, having this mesh. Yeah. Having it connected. So you're starting to see data availability become more pervasive. And, and we see this as a way that's powering this next gen data science revolution where it's like the business person is now the data science person. >>That's exactly. That is, that is what DataRobot does the best. We were founded with the vision that we wanted to democratize the access to AI within enterprises. It shouldn't be restricted to a small group of people don't get me wrong. Data scientists also love DataRobot. They use DataRobot. But the mission is to enhance many, many hundreds of people within an organization to use data science, like how you use Tableau on a regular basis, how you use Microsoft Excel on a regular basis. We want to democratize AI. And when you want to democratize AI, you need to democratize access to data, which is, which could be stored in data marketplaces, which could be stored in data warehouses and push all the intelligence that we grab from that data into the E R P into the apps layer. Because at the end of the day, business users, customers consume predictions through applications layer. >>You know, it's interesting, you mentioned that comment about, you know, trying not to, to offend data scientists, it's actually a rising tide that the tsunami of data is actually making that population bigger too. Right. So correct. You also have data engineering, which has come out of the woodwork. We covered a lot on the cube, which is, you know, we call data as code. So infrastructure as code kind of a spoof on that. But the reality is that there's a lot more data engineering. I call that the smallest population. Those are the, those are the alphas, the alpha geeks. Yeah. Hardcore data operating systems, kind of education, data science, big pool growing. And then the users yeah. Are the new data science practitioners. Correct? Exactly. So kind of a, the landscape is you see that picture too, right? >>For sure. I mean, we, we have presence in all of those, right? Like data engineers are very important. Data scientists. Those are core users of DataRobot like, how can you develop thousands and hundreds of thousands of models without having to hand code? If you have to hand code, it takes months and years to solve one problem for one customer in one location. I mean, see how fast the microeconomic conditions are moving. And data engineers are very important because at the end of the day, yes, you do. You create the model, but you need to operationalize that model. You need to monitor that model for data drift. You need to monitor how the model is performing and you need to productionize the insights that you gain. And for that engineering effort is very important behind the scenes. Yeah. And the users at the end of the day, they are the ones who consume the predictions. >>Yeah. I mean the volume and, and the scale and scope of the data requires a lot of automation as well. Correct. Cause you had that on top of it. You gotta have a platform that's gonna do the heavy lifting. >>Correct. Exactly. The platform is we call it as an augmented platform. It augments data scientists by eliminating the tedious work that they don't want to do in their everyday life, which some of which is like feature engineering, right? It's a very high value add work. However, it takes like multiple iterations to understand which features in your data actually impact the outcome. >>This is where the SAS platform is a service is evolved and we call that super cloud, right. This new model where people can scale it out and up. So horizontally, scalable cloud, but vertically integrated into the applications. It's an integrator dilemma. Not so much correct innovators dilemma, as we say in the queue. Yeah. So I have to ask you, I'm a, I'm a buyer I'm gonna come to the marketplace. I want DataRobot why should they buy DataRobot what's in it for them? What's the key features of DataRobot for a company to hit the subscribe, buy button. >>Absolutely. Do you want to scale your data science to multiple projects? Do you want to be ahead of your competition? Do you want to make AI real? That is our pitch. We are not about doing data science for the sake of data science. We are about generating business value out of data science. And we have done it for hundreds of customers in multiple different verticals across the world, whether it is investment banks or regional banks or insurance companies or healthcare companies, we have provided real value out of data for them. And we have the knowhow in how to solve, whether it is your supply chain, forecasting, problem, demand, forecasting problem, whether it is your foreign exchange training problem, how to solve all these use cases with AI, with DataRobot. So if you want to be in the business of using your data and being ahead of your competitors, DataRobot is your tool log choice. >>Sure. Great to have you on the cube as a strategy officer, you gotta look at the chess board, right. And we're kind of in the mid game, I call it the cloud opening game was, you know, happened. Now we're in the mid game of cloud computing where you're seeing a lot of refactoring of opportunities where technologies and data is the key to success, being things secure and operationally, scalable, etcetera, et cetera. What's the key right now for the ecosystem as a strategy, look at the chessboard for data robots. Obviously marketplace is important strategy. Yeah. And bet for, for DataRobot. What else do you see for your company to be successful? And you could share with, with customers watching. >>Yeah. For us, we are in the intelligence layer, the data, the layer below us is the data layer. The layer about us is the applications and the engagement layer. DataRobot I mean, interoperability and ecosystem is important for every company, but for DataRobot it's extra important because we are in that middle of middle layer of intelligence. And we, we have to integrate with all different data warehouses out there enable our customers to pull the data out in a very, very faster way and then showcase all the predictions into, into their tool of choice. And from a chessboard perspective, I like your phrase of we are in the mid cycle of the cloud revolution. Yeah. And every cloud player has a data science platform, whether it is simple one or more complex one, or whether it has been around for quite some time or it's been latent features. And it is important for us that we have complimentary value proposition with all of them, because at the end of the day, we want to maximize our customer's choice. And DataRobot wants to be a neutral platform in supporting all the different vendors out there from a complementary standpoint, because you don't want to have a vendor lock in for your customers. So you create models in SageMaker. For example, you monitor those in DataRobot or you create models in DataRobot and monitor those in AWS so that you have to provide like a very flexible >>That's a solution architecture. >>Correct? Exactly. You have to provide a very flexible tech stack for your customers. >>Yeah. That's the choice. That's the choice. It's all good. Thank you for coming on the cube, sharing the data robot. So I really appreciate it. Thank >>You for coming. Thank you very much for the opportunity. >>Okay. Breaking it all down with the partners here, the marketplace, it's the future, obviously where people are gonna buy the buyers and sellers coming together, the partner network and marketplace, the big news here at 80 seller conference. I'm John ferry with the cube will be right back with more coverage after this short break.

>>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.

>>Welcome back everyone to the cubes coverage here in Seattle, Washington for AWS's marketplace seller conference. The big news here is that the Amazon partner network and marketplace coming together and reorganizing into one organization, the AIST partner organization, APO bringing together the best of the partnership and the marketplace to sell through. It's a sellers company. This is the second year, but technically with COVID, I call it a year and a half. This is the cube. I'm John for your host. Got a great guest, Leah for sale vice president of business development at four square. Leah, thanks for coming on the cube. Look great. Yeah. >>Hey, thanks. Thanks for having me here. >>So four square, everyone, and that has internet history knows you. You check in you'd become the mayor of a place right back in the day, all fun. It was a great app and I think it was competitor go sold the Facebook, but that was the beginning of location data. Now you got Uber apps, you got all apps, location, everywhere. Data is big here in the marketplace. They sell data, they got a data exchange, Chris head of marketplaces. Like we have all these things we're gonna bring 'em together, make it simpler. So you're on the data side. I'm assuming you're selling data and you're participating at the data exchange. What is Foursquare doing right now? Yeah, >>Exactly. So we are part of the data exchange. And you mentioned checking in. So we, we are really proud of our roots, the, the four square app, and that's kind of the basis still of our business. We have a hundred million data points, which are actually places of interest across the world 200 countries. And we are we're in the business of understanding whereplace are and how people move through those places over time. And >>What's the value proposition for that data. You're selling the data. >>We are selling the data and we're selling it. You can think about use cases. Like how can I improve the engagement with my app through location data? So for example, next door, as a customer of ours, everyone knows next door. When a new business comes online, they wanna make sure that business is a real business. So they use our places to ensure that the address of that business is accurate. >>So how did you, how do you guys get your data? Because if you don't have the first party app, you probably had critical mass of data. Yeah. But then do other people use your data and then re contribute back in kinda like, well, Stripe is for financial. You guys are plugging in yeah. To >>Apps. A great question. So we still do have our consumer apps. We're still proud of those. It's still a basis of our company really. Okay. So, but we take that data. So our first party data, we also, for all the web, we have some partners integrate our SDK. And so we're pulling in all that data from various sources and then scrubbing it and making sure we have the most unique. >>So you guys still have a business where the app's working. Yep. Okay. But also let's just say, I wanna have a cube app. Yeah. And I want to do a check in button. Yep. So rather than build checking in, could I OEM you could four square is that you >>Could, and we could help you understand where people are checking in. So we know someone's here at the Hilton and Bellevue, we know exactly where that place is. You building the Cub app. You could say, I'm gonna check in here and we are verified. We know that that's the >>Right place. So that's a good for developer if they're building an app. >>Absolutely. So we have an SDK that any developer can integrate. >>Great. Okay. So what's the relationship with the marketplace? Take us through how Foursquare works with AWS marketplace. >>Sure. So we are primarily integrated with ADX, which is sort of a piece of marketplace it's for data specifically, we have both of our main products, which are places that POI database and visits, which is how people move through those places over time. So we're able to say these are the top chains in the country. Here's how people move throughout those. And both those products are listed on ADX. >>So if I'm in Palo Alto and I go to Joe in the juice yeah. You know that I kind of hang in one spot or is it privacy there? I mean, how do you know like what goes on? Well, >>We know somebody does that. We don't >>Know that you do that. So >>We ensure, you know, we're very privacy centric and privacy focused. We're not gonna, we don't tell anybody at you >>Yourself it's pattern data. It is. >>Okay. So it's normalized data, right? Over time groups of people, >>How they, how are people using the data to improve processes, user experience? What are some of the use cases? >>So that example, nextdoor, that's really a use case that we see a lot and that's improving their application. So that nextdoor app to ensure that the ACC, the data's accurate and that as you, as a user, you know, that that business is real. Cuz it's verified by four wear. Another one is you can use our data to make business decisions around where you're gonna place your next loca. You know, your next QSR. So young brands is a customer of ours. Those are, those guys are pizza hut KFC. They work with us to figure out where they should put their next KFC. Yeah. >>I mean retail location, location, location. Yeah. >>Right. Yeah. People are still, even though e-commerce right. People still go into stores >>And still are. Yeah. There's, there's, there's probably lot, a lot of math involved in knowing demographics patterns. Volume. >>Yeah. Some of our key customers are really data scientists. Like the think about cus with businesses that have true data science companies. They're really looking at that. >>Yeah. I mean in, and out's on the exit for a reason. Right. They want in and out. Yeah. So they wanna put it inland. >>Right. And we can actually tell you where that customer from in and out where they go next. Right. So then, you know, oh, they go to this park or they go somewhere and we can help you place your next in and out based on that visitation. >>Yeah. And so it's real science involved. So take us through the customers. You said data scientists, >>Mostly data scientists is kind of a key customer data science at a large corporation, like a QSR that's >>Somebody. Okay. So how is the procurement process on the marketplace? What does the buyer get? >>So what we see the real value is, is because they're already a customer of Amazon. That procurement is really easy, right? All the fulfillment goes through Amazon, through ADX. And what you're buying is either at API. So you can, that API can make real time calls or you're buying a flat file, like an actual database of those hundred points of interest. >>And then they integrate into their tool set. Right. They can do it. So it's pretty data friendly in terms of format. >>You can kind of do whatever you want with it. We're gonna give you that as long as you're smart enough to figure out what to do. Do we have a >>Lot of, so what's your experience with AWS marketplace? I mean, obviously we, we see a lot of changes. They had a reorg partner network merging with marketplace. You've been more on the data exchange, Chris kind of called that out. It's yeah. It's kind of a new thing. And, and he was hinting at a lot of confusion, but simplifying things. Yeah. What's your take of the current AWS marketplace >>Religions? I actually think ADX because our experience has primarily been ADX. I think they've done a really good job. They've really focused on the data and they understand how CU, how, you know, people like us sell our data. It hasn't been super confusing. We've had a lot of support. I think that's what Amazon gives you. You have to put a lot of effort into it, but they're also, they also give you a lot of support. >>Yeah. And, and I think data exchange is pretty significant to the strategic. It is >>Mission. It is. We feel that. Yeah. You know, we feel like they really value us as a partner. >>What's the big thing you're seeing out there right now in data, because like you're seeing a lot more data exchanges going on. There's always been data exchange, but you're seeing a lot more exchanges between companies. So let's just take partners. You're seeing a lot more people handle front end of a, a supply chain and you got more data exchanges. What's the future of data exchanges. If you had to kind of, you know, guess given your history in, in the industry. Yeah. What's the next around the corner trend? >>I think. Well, I think there's a, has to be consolidation. I know everyone's building one, but there's probably too many. I know from our experience, we can't support all of them. We're not a huge company. We can't support Amazon and X and Y and Z. Like it's just too many. So we kind of put all of our eggs in a couple baskets. So I think there'll be consolidation. I think there has to be just some innovation on what data products are, you know, for us, we have these two, it's an API and a flat file. I think as exchanges think about, you know, expanding what are the other types of data products that can help us build? >>Yeah. I mean, one of the things that's, you know, we see, we cover a lot of on the cube is edge. You know, you got, yeah. Amazon putting out new products in regions, you got new wavelength out there, you got regions, you got city level connectivity, data coming from cars. So a lot more IOT data. How do you guys see that folding into your vision of data acquisition and data usage, leverage, reuse, durability. These >>Are, yeah. I mean, we're, we are keeping an eye on all of that. You know, I think we haven't quite figured out how we wanna allocate resources against it, but you know, it's definitely, it's a really interesting space to be in. Like, I don't think data's going anywhere and I think it's really just gonna grow and how people use it's >>Gonna expand. Okay. So if I'm a customer, I go to the marketplace, I wanna buy four square data. What's the pitch. >>We can help you improve your business decisions or your applications through location data. We know where places are and how people move through the world over time. So we can tell you we're, we're sure that this is the Hilton in Bellevue. We know that, that we know how many people are moving through here and that's really the pitch. >>And they use that for whatever their needs are, business improvement, user experience. Yeah. >>Those are really the primary. I mean, we also have some financial use cases. So hedge funds, maybe they're thinking about yeah. How they wanna invest their money. They're gonna look at visits over time to understand what people are doing. Right. The pandemic made that super important. >>Yeah. That's awesome. Well, this is great. Great success story. Congratulations. And thanks for sharing on the cube. Really appreciate you coming on. Thank you. My final question is more about kind of the future. I wanna get your thoughts because your season pro, when you have the confluence of physical and digital coming together. Yeah. You know, I was just talking with a friend about FedEx's earnings, comparing that to say, AWS has a fleet of delivery too. Right? Amazon, Amazon nots. So, but physical world only products location matters. But then what about the person when they're walking around the real world? What happens when they get to the metaverses or, you know, they get to digital, they tend an event. Yeah. How do you see that crossroad? Cuz you have foot in both camps. We do, you got the app and you got the physical world it's gonna come together. Is there thoughts around, you can take your course care hat off and put your industry hat on. Yeah. You wanna answer that? Not officially on behalf of Foursquare, but I'm just curious, this is a, this is the confluence of like the blending of physical and digital. >>Yeah. I know. Wow. I admittedly haven't thought a whole lot about that. I think it would be really weird if I could track myself over time and the metaverse I mean, I think, yeah, as you said, it's >>It's, by the way, I'm not Bo on the metaverse when it's blocked diagrams, when you have gaming platforms that are like the best visual experience possible, right? >>Yeah. I mean, I think it, I think we'll see, I don't, I don't know that I have a >>Prediction, well hybrid we've seeing a lot of hybrid events. Like this event is still intimate VIP, but next year I guarantee it's gonna be larger, much larger and it's gonna be physical and face to face, but, but digital right as well. Yeah. Not people experiencing the, both that first party, physical, digital hybrid. Yeah. And it's interesting something that we track a lot >>Of. Yeah, for sure. Yeah. I think we'll have a, well, I think we'll, there's something there for us. I think that those there's a play there as we watch kind >>Of things change. All right, Leah, thank you for coming on the Q appreciate so much it all right. With four Graham, John fur a year checking in with four square here on the cube here at the Amazon web services marketplace seller conference. Second year back from the pandemic in person, more coverage after this break.

(upbeat music) >> Narrator: From around the globe. It's the cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >> Hi, welcome to the Q virtual. You're watching our coverage or AWS free event 2020. We are the Q virtual and let me hope you in skevent . I'm joined with Steve Mcmilla CEO, president of teradata Stephen, welcome to the show. >> Hey Keith, great to be here today. Glad to be joining you. So teradata, this is a big, exciting market analytics in the public cloud, but let's start with a little history. I remember teradata as being the thing that I do as a data says that my big data on premises and asking questions of teradata, how's the public cloud changed teradata's business. >> I think Teradata has got a fantastic heritage. We've, you know, being in the cloud, the data analytics business for over 40 years. So in fact, you could say that teradata invented data analytics. The cloud for us` is just a really exciting opportunity. It gives our customers another deployment option, and we are looking at how we can take our capabilities from on-prem and extend those into the cloud. And that's really what a lot of teradata's existing customers are looking for. But we also see tremendous opportunity as customers are responding to their market and their environments. They want to use the cloud as a platform, an agile platform, and we're finding that they can see the benefits of using teradata in terms of performance in scale and given a level of insight and to the data that they've got in the cloud, that other platforms can't touch. >> So we're talking about real time, current issues that's going on in customer environments. Talk to me about the teradata top de sure the pandemic. How's the pandemic impacting your customer environments or working the need for this type of analytics capabilities? >> I think the pandemic has just been an accelerant for a lot of transformation for companies. And you know, that the situation with COVID-19 globally has really resulted in a need for companies to be able to respond very harshly, to an uncertain environment. And an environment is changing all of the time. You know, AWS as a cloud provider can provide that level of agility. What teredata does set it on top of AWS has provided a level of business insight that enables companies to use their data, to dynamically respond to the situations that are in front of them today, even as that changes day by day or hour by hour or minute to minute. >> So I've talked to a lot of customer who have looked at the public cloud as a way to respond, celebrate their businesses in the era of the pandemic. But let's talk about long term vision. How are customers going to use teradata moving forward in a post pandemic. >> Okay I think that just from a data strategy perspective, cloud is one aspect of it. Really what our customers want to get from the data, Is real insights, that help them transform how their businesses work, especially in these changing times. So businesses we find are overwhelmed by the amount of data that they've got. There's never a day in the world where there's less data than there was the day before and coping with that explosion of data, getting real insights so they can work what they going to do that is we believe forms the basis of a long term data strategy. >> So help me paint a picture for customers as they look at their multi-cloud or hybrid cloud environments, which you know, I have my systems of record on premises feel, I have my next generation customer facing complications, Back far diverse is transactional. customer experience data. How does Teradata help bridge those worlds? >> That's where I think Teradata is uniquely placed. You know we bring that 40 years of heritage and investment and data analytics and we help our customers take that end to the cloud. We see most of our customers now have a cloud strategy. I was reading an industry report the other day that said that, on average organizations will have seven clouds that they have to deal with. Many customers are deploying on AWS because they see it as a great cloud platform where they can extend their on-prem data capabilities into the cloud use the facilities and features of AWS convened web teradata to really transform the data fabric and the analytics capabilities of their organization. So it's really that combination, that is provide some unique opportunities for our customers. And again, like using teradata in AWS quote, probates, unprecedented a scale, a scale that we've been able to develop in our technology over the last few decades. And we take that know-how and deploy it in the Amazon cloud so that customers have a great degree of control. They can optimize how their queries run inside the environment. They can get degrees of cost certainty that they don't otherwise have they can govern their data and ways that gives them complete control and security over the analytics, the insights that they make available so that they can really change how their companies operate. >> So obviously you run a sizable business, a mature business, that's finding this incredible growth mechanism, but at the end of the day, when your employees come to you with a new idea, you want to know what's the return on investment, you know money, isn't free resources, aren't free. You have limited staff just like everyone else. Talk to me about the return on investment from teradata. >> So I think teradata really offers the ability to get that cost per query and the sweet spot for our customers. So we've done a number of things we've made a cost calculator available on our website so that our, our customers can look at and compare how much it costs to run and say a data environment or an, an AWS quote, and how that compares to all of the other options that may be available to them. And what we see is often an order of magnitude difference in terms of the cost profile for running teradata and getting true business level insights from the data that they have compared to some of the competitive solutions out there. And that might really surprise some of your viewers said, Keith, in terms of that, that's not usually what you'd associate teradata West, or you associate teradata as, an absolutely robust system that's completely meshing critical. But David, we get those features and a really controlled environment, where the cost per query is optimized. we've got consumption-based pricing models that enables that return and investment curve that you're talking about to be either really early on in their process or using our technologies. >> So I've been part of these big, massive projects within enterprises, where we look at these, whether it's data leakes, unstructured data etc. We want to to next big questions of them. The big problem with that has always been cost or runs these projects always, always in my experience go over budget. How does the combination of AWS, which has the potential to have only limited budget and teradata, which falls basically unlimited budget issue or dresses, unlimited budget problem, how do you help control that risk and avoid cost? >> Yeah, so you know working in an environment like AWS, which is completely elastic can really does give tremendous value to our conveying customer set. But as you said, that elasticity comes at a cost. So in order to make sure that our customers run, the most important queries that they get the most value from, we utilize technologies that we've taken from our own prem deployments, things like query optimization and workload management, and that lets us give our customers a degree of control, and that environment that they wouldn't otherwise have. So we're really excited about the future of teradata and the AWS cloud. >> Now we spent a lot of time talking about the AWS cloud, but a lot of customers simply aren't there. A lot of them are just react to the pandemic, as a need for today. Do I have to be all in and AWS and public cloud in general to take advantage of all of these advantages of all of these capabilities? >> What we are, what we want to do from a teradata vantage perspective is really promote it as a platform and a platform that can be used across all of the cloud environments, and into the on-prem environment. If you have teradata vantage deployed in your on-prem So we're all about opening up choice and flexibility. You know, the teradata technology really enables our customers, not just to have a data Mart view of things where, you know, you're, no simple queries on, you know, the rear view mirror of what happened, but the analytics technology lets you get into questions like, well, why did that event happen? What's going to happen next? And what should we do to proactively plan that, you know we see use cases like the internet of things, where, there's a preventative and predictive maintenance on laws that the bases over there, and you can imagine the amount and volume of data that's getting consumed. And we analyze that data real time, get real answeres to make recommendations, to really enable an organization that's servicing these machines the the right level of end state to optimize how they're working on a day-to-day business. is really exciting. >> So again, we're now shipping the conversation back over to public health in consumption. How do I consume Cherokee advantage in AWS? >> We've got a number of different deployment models in terms of consuming teradata vantage , so you can have a pay as you go model, which means, you can start at nothing and work out overtaking or consumption model is really unique because we actually, we Bel on the basis of what we call logical IO, which means that it's only been queries work, inside the environment that our customer gets billed for it. So you don't just get charged by walking into the room and having the light switch on you only get charged when that late is doing something meaningful, for you and your organization, and actually result in an end state for use the company also the blended priests and models. So you can work out what the optimum deployment model as for teradata vantage and save quote. So loss of choice, we're all about giving that flexibility and choice in terms of how we operate. >> So you hit on the topic of IOT, but let's hit that dead on and talk about another hot part of not just the it conversation, but the cloud conversation and especially data analytics, the edge how does a solution like vantage play with datasets, that live at the edge and have to be carried at the edge? >> You know, one of the great things of a teradata vantage and how we're looking at it just now, If we think about, or you may recall as teradata, the desire was to try and get everything into a teradata and have all the data captured and say that ecosystem, that doesn't work as well in the cloud world. What we're all about is opening up that platform. So some of your viewers might be surprised. We now integrate with, 18 of AWS services to really start opening the platform up. We give access to from teradata and to native object stores and cloud environments so that, customers don't have to duplicate data. They don't have to copy it into teradata, and have that data locked in there. We can access a whole plethora of data capture mechanisms that the cloud providers AWS make available, in terms of those APO eyes and those calls. so that we can integrate it all together, and get the best possible set of data sources, for teradata VANTAGE to work on. So really exciting team in terms of opening up that platform being really modern in terms of looking at the data fabric, that our customers have and how they're using these cloud services on a day-to-day basis. And integrating that with the power advantage. >> Steve McMillan, president CEO of teradata. We really appreciate it. 40 years of analytics history. We're seeing the movement in public cloud where we're going from these companies that we put our, all our data into centralized, adapting to the reality of edge data center, public cloud, meeting us where the data's at. We're super excited to now promote you into an alum of the queue, make sure to join us for additional coverage of AWS reinvent 2020 on ducky. (upbeat music)

>> Announcer: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Online. Brought to you by Amazon Web Services. >> Hi, I'm Stu Miniman and this is theCUBE's coverage of AWS Public Sector's Summit Online. We've done this show for many years, of course, this time it's online rather than in person in the District of Washington, D.C. Happy to welcome to the program first time guest, a very good partner of AWS's, from Salesforce, it's Casey Coleman. She is the Senior Vice President of Global Government Solutions, once again, with Salesforce. Casey, thanks so much for joining us. >> Stu, thank you, glad to be here. >> All right, so first of all maybe, if you could, give us a little bit of level set, your role at Salesforce and obviously a long partnership with Amazon. Tell us a little bit about that. >> Yes, my role at Salesforce is to work with our customers in the public sector, globally, and really help them map out their digital transformation. You know, it's an ongoing journey and we help them understand how to break that down into actionable steps and really transform what they're doing to server their constituents and citizens better. >> Excellent, so of course, at the Public Sector Show a lot about leverage of GovCloud and the other services, all of the compliance that goes into that. Ahead of this event, you had a new update at Salesforce in partnership with AWS. Talk to us about it's the Government Cloud Plus. So what's entailed there? And tell us how AWS and Salesforce work together to launch this solution. >> Yeah, thanks Stu. We are so excited to announce the launch of GovCloud Plus which is Salesforce's Customer 360 CRM platform that runs on Amazon Web Services in the GovCloud in their GovCloud environment and we've just received a provisional APO provisional authority to operate from the FedRAMP Program office at the high security level. So we are announcing GovCloud Plus is FedRamp High, ready to go, generally available and ready for customers. >> Excellent, maybe bring us inside. What's different about how government agencies leverage Salesforce. For most companies out there, Salesforce is a critical piece of how they manage not only their sales force but marketing and lots of other pieces, anything specific that we should understand about the public sector. >> Yeah, it's a great question because even our name, Salesforce, sounds like a commercial kind of thing to do. Governments don't think of themselves as selling, but if you break down to a level of detail about what governments actually do, it is the same kind of functions. It's case management, it's benefits delivery, it's communications and outreach, it's all the same kind of functions that are necessary for commercial organizations to thrive. And so that's what we do, we translate that into government-ready terms so that they can serve child welfare, health information delivery, patient records, farmer information, all kinds of services for constituents of the public sector. And they might call them customers, they might call them citizens, residents, constituents, but it's those they serve. >> Yeah, well one of the things about Salesforce is, as you said, it's not just a sales tool, there's so much. You've got a very broad and deep ecosystem there as well as people that know how to use it. They get underneath the covers. When I think of not only is Salesforce the first company that I probably thought of and heard about that it was SaaS, but if you talk about the API economy, if you talk about how things integrate, Salesforce does a lot for developers. So I know one of the other pieces you had that everybody knows Dreamforce, maybe not as many people know the TrailheaDX Show that Salesforce just had for developers, so bring us a little bit inside what Salesforce is doing for developers and of course, the government angle along those lines, too. >> Yeah, there's a lot going on in the developer world. We were glad to be able to host a virtual version of our Trailhead Developer Conference and announce a lot of exciting, new developments, including Salesforce Anywhere which his really bringing an immersive voice, video, and chat environment to collaborate in the developer environment and in the delivery environment. And you bring that into the public sector and the benefits are amazing because one of the key challenges with government is keeping up with the pace of the public expectations at a pace of change in the commercial world. All of us shop and bank, and live on our mobile devices, and governments are being faced with the same expectations from the public to do anytime, anywhere, personalized service delivery. It's the (audio distortion) rapid development environment that Salesforce offers gives the public sector IT teams the ability to quickly respond to changing conditions like the COVID-19 pandemic, and rollout applications that are not only fast to develop and deploy, but they also benefit from being in the GovCloud environment, and so the compliance is already built in. And that's another key challenge that often arises, the public sector (audio distortion) is not only fielding new applications but making sure they're secure, and so with Salesforce, it's all built in. >> Yeah, it sounds a lot of system similarity to what we hear in the private sector. Of course, the balance between what IT is doing and how we enable developers. Of course, security, you mentioned, is super important. Anything, specifically, from the government sector that you'd say might be different from what we see in the general enterprise world? >> You know, the security is top of mind for the public sector, always, because they're dealing with the most sensitive data. They're dealing with the public trust. And trust is really the currency of government. They're not dealing in profit and market share, but they are dealing in a public trust and protecting information like financial data, health data, personal data, and so it's essential that the government has the best in class commercial tools to make sure they are providing world class security for their constituents and their mission. And that's one reason we're so excited to be partnering with AWS on GovCloud Plus because Amazon AWS has already deployed the FedRAMP High version of their infrastructures and service, and so by riding on top of that, we inherit all of those existing controls, add our own FedRAMP High controls, and our customers benefit from the best in class security from two of the most trusted names in the Public Cloud. >> Great, you know, absolutely, GovCloud has been a real boon for the entire industry when it talks about how government agencies are leveraging Cloud. You talked about sitting on top of GovCloud, the Government Cloud Plus leverages some of the certifications and the like. Can you bring us inside a little bit? How long did this effort take to get? Anything specific in the integrations or functionality that you might be able to highlight about this joint effort? >> Yeah we've been working on it for some time now, because it's essential to really think from the ground, up. And this is really not just re-platforming our Cloud solutions on AWS, it is rethinking the whole architecture so that we really are organically taking advantage of infrastructure services that AWS provides. So it is a really deep integration. And it's not only a tech integration, it's a strategic partnership too, and you're going to see a lot more announcements coming from both of us about the integration, the capabilities we're bringing together. And a lot of the work we're going to be doing continue to bring innovation to our joint customers. >> Excellent. You made reference to the pandemic. What are you hearing from your customers? How does this new offering impact them and support them both, today, as they're reacting to what happens as well as going forward, as we progress? >> Yeah, Stu, you know, the COVID-19 pandemic really exposed a fault line in government programs that weren't scaled to meet this demand. We saw Websites crashing when people were going to them, and just overwhelming them with questions about the health situation. We saw benefits programs that only worked when people could come in and sign up and apply in person, and obviously, with government offices shut down, that wasn't an option. And a lot of government workers were sent home to tele-work without much notice, and their infrastructure just couldn't support it. And so just in general, there was a lot of breakdowns along the way. But the good news is that a lot of public sector organizations and programs are making that pivot quickly. For example, we worked with one state agency that experienced a 400% spike in demand for applications for unemployment benefits. It makes sense. People are out of work, they need unemployment benefits, but they just couldn't respond to that kind of surge in demand. So we worked with them along with AWS and in less than a week, stood up a virtual contact center with chatbot so they could meet the demand and provide those vital services for their residents at a time of real need. So there's a lot to be optimistic about in the middle of this crisis; there is a lot of transformation happening. This kind of forcing function is producing a lot of innovation and transformation and I think it's really going to make a fundamental shift in how we reimagine government in the future. >> Yeah, Casey, you're absolutely right. This pandemic has shown a real spotlight on what works and what doesn't. And I think about not only government, but a lot of how finances work. Oftentimes, you have your plans in place, you have your budgets in place, you have funding cycles, so what are Salesforce and Amazon doing to help those customers? You talk about they have to ramp things up. Oh wait, were they financially ready for this? Some companies, "Oh wait, I have to temporarily "dial things down that's not in my 12-month "or 36-month plan." So are there things that you're doing to help customers short-term and long-term? Are you seeing some change in how people think about their planning and how they can be ready for what change happens out there? >> Yeah, one of the big findings from this while experience, not just in the public sector, but across every industry, has been that digital transformation may, in the past, have been viewed as a nice-to-have. It is now really the only way to connect and serve both the customers and employees, and so digital first, digital transformation is rapidly becoming an urgent imperative because this situation is not going away overnight. And even when we get back to some state of normal, it's going to be different. And so digital first and being able to move quickly to rollout services rapidly, to be able to start small and then scale rapidly, these are things that benefit any organization, whether it's government or commercial. >> Excellent, well Casey, I'll let you have the final word what you want people to have as their takeaway of Salesforce's participation in the AWS Private Sector Online Event. >> We are just so excited to be here with AWS to jointly come to our customers with GovCloud Plus, the FedRAMP High authorized environment for the best in class CRM, and customer and employee services. Our partnership with AWS is one that we're excited about. You're going to see a lot more announcements coming soon. It's not only a technology integration, it's also a strategic partnership, and we think our customers are, jointly, just going to be really excited about the development. So thank you for the time and glad to be here. >> All right, well thank you so much, Casey. Congratulations on the Government Cloud Plus launch and absolutely look forward to hearing more about it in the future. >> Thank you, Stu. >> All right, be sure to stay tuned. Lots more coverage of theCUBE at AWS Public Sector Summit Online. I'm Stu Miniman and thank you for watching theCUBE. (soft electronic music)