(upbeat music) >> Hello, CUBE friends and welcome back to Vegas. Lisa Martin here with John Furrier. This is our third day of coverage of AWS re:Invent. There are somewhere between 50,000 and 60, 70,000 people here. The excitement is palpable. The energy in the room has been on fire since Monday night. John, we love talking, we love re:Invent. We love talking about AWS and it's incredible ecosystem of partners and we're going to be doing that next. >> Yeah, I mean 10 years of theCUBE, we've been here since 2013. Watching it grow as the cloud computing invention. And then the ecosystem has just been growing, growing, growing at the same time innovation. And that's this next segment with the company that we both have covered deeply. Boomi is going to be a great segment. Looking forward to it. >> We have, we have. And speaking of innovation and Boomi, we have a four-time cube guests back with us. Ed Macosky joined us, Chief Innovation Officer at Boomi. And it's great to see you in person. >> Yeah, great to be here. Thanks for having me. >> What's going on at Boomi? I mean, I know up and to the right, continues we'll go this way. What's going on? >> Yeah, we continue to grow. We're really focused with AWS on the cloud and app modernization. Most of our projects and many of our customers are in this modernization journey from an enterprise perspective, moving from on-premises, trying to implement multicloud, hybrid cloud, that sort of thing. But what we're really seeing is this modernization choke point that a lot of our customers are facing in that journey where they just can't get over the hump. And a lot of their, they come to us with failing projects where they're saying, "Hey, I've got maybe this anchor of a legacy data source or applications that I need to bring in temporarily or I need to keep filling that." So we help with integrating these workflows, integrating these applications and help that lift and shift and help our customers projects from failing and quickly bringing themselves to the cloud. >> You know, Ed, we've been talking with you guys for many many years with theCUBE and look at the transition, how the market's evolved. If you look at the innovation going on now, I won't say it's an innovator's dilemma because there's a lot of innovation happening. It's becoming an integrator's dilemma. And I was talking with some of your staff. Booth traffic's up, great leads coming in. You mentioned on the keynote in a slide. I mean, the world spun in the direction of Boomi with all your capabilities around integration, understanding how data works. All the themes here at re:Invent kind of like are in that conversation top track that we've been mentioning and Boomi, you guys have been building around. Explain why that's happening. Am I right? Am I getting that right, or can you share your thoughts? >> Yeah, absolutely. We're in a great spot. I mean, given the way the economy's going today, people are, again, trying to do more with less. But there is this modernization journey that I talked about and there's an explosion of SaaS applications, cloud technologies, data sources, et cetera. And not only is it about integrating data sources and automating workflows, but implementing things at scale, making sure you have high data quality, high data governance, security, et cetera. And Boomi sits right in the middle of providing solutions of all of that to make a business more efficient. Not only that, but you can implement things very very quickly 'cause we're a low-code platform. It's not just about this hardcore technology that's really hard to implement. You can do it really quickly with our platform. >> Speaking of transformation, one of the things John does every year ahead of re:Invent is he gets to sit down with the CEO of re:Invent and really does a great, if you haven't seen it, check it out on siliconangle.com. Really kind of a preview of what we're going to expect at the show. And one of the things Adam said to you was CIOs, CEOs are coming to me not wanting to talk about technology. They want to talk about transformation, business transformation. It's no more, not so much about digital transformation anymore, it's about transforming businesses. Are you hearing customers come to you with the same help us transform our business so we can be competitive, so we can meet customer demand? >> Oh, absolutely. It's no longer about tools and technology and providing people with paint to paint on a canvas. We're offering solutions on the AWS marketplace. We have five solutions that we launched this year to get people up and running very quickly based on business problems from disbursement to lead to cash with Salesforce and NetSuite to business-to-business integrations and EDI dashboarding and that sort of thing. We also have our own marketplace that provide these solutions and give our customers the ability to visualize what they can do with our platform to actually solve business problems. Again, not just about tooling and technology and how to connect things. >> How's the marketplace relationship going for you? Are you guys seeing success there? >> Yeah, we're seeing a lot of success. I mean, in fact, we're going to be doubling down in the next year. We're going to be, we haven't announced it yet, but we're going to be announcing some new solutions. >> John: I guess we're announcing it now. >> No, I'm not going to get to specifics. But we're going to be putting more and more solutions on the marketplace and we're going to be offering more ways to consume and purchase our platform on the marketplace in the next couple of months. >> Ed, talk about what's new with Boomi real quick. I know you guys have new connectors Early Access. What's been announced? What have you guys announced? What's coming? What's the new things folks should pay attention from a product standpoint? >> Yeah, so you mentioned the connectors. We have 32 new connectors. And by the way in our ecosystem, our customers have connected 199,970 unique things. Amazon SQS is one of those in that number. So that's the kind of scale. >> What's the number again? >> 199,970. At least that's the last I checked earlier. >> That's a good recall right there. Exact number. >> It's an exciting number 'cause we're scaling very, very rapidly. But the other things that are exciting are we announced our event streaming service that we want to bring to our cloud. We've relied on partners in the past to do that for us, but it's been a very critical need that our customers have asked for. So we're integrating that into our platform. We're also going to be focusing more and more on our data management capabilities because I mentioned it a little earlier, connecting things, if bad data's going in and bad data's going out, bad data's going everywhere. So we have the tools and capability to govern data, manage data, high quality solutions. So we're going to invest more and more in that 'cause that's what our customers are asking us for. >> Data governance is a challenge for any business in any industry. Too much access is a huge risk, not enough access to the right people means you can't really extract the insights from data to be able to make data-driven decisions. How do you help customers really on that fine line of data governance? >> Very specifically, we have as part of our iPaaS platform, we have a data catalog and data prep capability within the platform itself that gives citizens in the organization the ability to catalog data in a secure way based on what they have capabilities to. But not only that, the integrator can use data catalog to actually catalog the data and understand what needs to be integrated and how they can make their business more efficient by automating the movement of data and sharing the data across the organization. >> On the innovation side, I want to get back to that again because I think this integration innovation angle is something that we talked about with Adams Selipsky in our stories hitting SiliconANGLE right now are all about the partner ecosystems. We've been highlighting some of the bigger players emerging. You guys are out there. You got Databricks, Snowflake, MongoDB where they're partnering with Amazon, but they're not just an ISV, they're platforms. You guys have your own ISVs. You have your own customers. You're doing low-code before no-code is popular. So where are you guys at on that wave? You got a good customer base, share some names. What's going on with the customers? Are they becoming more developer oriented? 'Cause let's face it, your customers that working on Boomi, they're developers. >> Yes. >> And so they got tools. You're enablers, so you're a platform on Amazon. >> We are a platform on Amazon. >> We call that supercloud, but that's where this new shift is happening. What's your reaction to that? >> Yes, so I guess we are a supercloud on Amazon and our customers and our partners are developers of our platforms themselves. So most of our partners are also customers of ours and they will be implementing their own integrations in the backend of their platforms into their backend systems to do things like billing and monitoring of their own usage of their platforms. But with our customers, they're also Amazon customers who are trying to connect in a multicloud way or many times just within the Amazon ecosystem. Or even customers like Kenco and Tim Heger who did a presentation from HealthBridge. They're also doing B2B connectivity to bring information from their partners into their ecosystem within their platform. So we handle all of the above. So now we are an independent company and it's nice to be a central part of all of these different ecosystems. And where I find myself in my role a lot of times is literally connecting different platforms and applications and SI partners to solve these problems 'cause nobody can really see it themselves. I had a conversation earlier today where someone would say, "Hey, you're going to talk with that SI partner later today. They're a big SI partner of ours. Why don't they develop solutions that we can go to market together to solve problems for our customers?" >> Lisa, this is something that we've been talking about a lot where it's an and conversation. My big takeaway from Adam's one-on-one and re:Invent so far is they're not mutually exclusive. There's an and. You can be an ISV and this platforms in the ecosystem because you're enabling software developers, ISV as they call it. I think that term is old school, but still independent software vendors. That's not a platform. They can coexist and they are, but they're becoming on your platform. So you're one of the most advanced Amazon partners. So as cloud grows and we mature and what, 13 years old Amazon is now, so okay, you're becoming bigger as a platform. That's the next wave. What happens in that next five years from there? What happens next? Because if your platform continues to grow, what happens next? >> So for us, where we're going is connecting platform providers, cloud providers are getting bigger. A lot of these cloud providers are embracing partnerships with other vendors and things and we're helping connect those. So when I talk about business-to-business and sharing data between those, there are still some folks that have legacy applications that need to connect and bring things in and they're just going to ride them until they go away. That is a requirement, but at some point that's all going to fall by the wayside. But where the industry is really going for us is it is about automation and quickly automating things and again, doing more with less. I think Tim Heger had a quote where he said, "I don't need to use Michelangelo to come paint my living room." And that's the way he thinks about low-code. It's not about, you don't want to just sit there and code things and make an art out of coding. You want to get things done quickly and you want to keep automating your business to keep pushing things forward. So a lot of the things we're looking at is not just about connecting and automating data transformation and that's all valuable, but how do I get someone more productive? How do I automate the business in an intelligent way more and more to push them forward. >> Out of the box solutions versus platforms. You can do both. You can build a platform. >> Yes. >> Or you can just buy out of the box. >> Well, that's what's great about us too is because we don't just provide solutions. We provide solutions many times as a starting point or the way I look at it, it's art of the possible a lot of what we give 'cause then our customers can take our low-code tooling and say, wow, I like this solution, but I can really take it to the next step, almost in like an open source model and just quickly iterate and drive innovation that way. And I just love seeing our, a lot of it for me is just our ecosystem and our partners driving the innovation for us. >> And driving that speed for customers. When I had the chance to interview Tim Heger myself last month and he was talking about Boomi integration and Flow are enabling him to do integration 10x faster than before and HealthBridge built their business on Boomi. They didn't replace the legacy solution, but he had experience with some of your big competitors and chose Boomi and said, "It is 10x faster." So he's able to deliver to those and it's a great business helping people pay for health issues if they don't have the funds to do that. So much faster than they could have if had they chosen a different technology. >> Yeah, and also what I like about the HealthBridge story is you said they started with Boomi's technology. So I like to think we scale up and scale down. So many times when I talk to prospects or new customers, they think that our technology is too advanced or too expensive or too big for them to go after and they don't think they can solve these problems like we do with enterprises. We can start with you as a startup going with SaaS applications, trying to be innovative in your organization to automate things and scale. As you scale the company will be right there along with you to scale into very very advanced solutions all in a low-code way. >> And also helping folks to scale up and down during what we're facing these macroeconomic headwinds. That's really important for businesses to be able to do for cost optimization. But at the end of the day, that company has to be a data company. They have to be able to make sure that the data matches. It's there. They know what they have. They can actually facilitate communications, conversations and deliver the end user customer is demanding whether it's a retailer, a healthcare organization, a bank, you name it. >> Exactly. And another thing with today's economy, a lot of people forget with integration or automation tooling, once you get things implemented, in many traditional forms you got to manage that long term. You have to have a team to do that. Our technology runs autonomously. I hear from our customers over and over again. I just said it, sometimes I'll walk away for a month and come back and wow, Boomi's still running. I didn't realize it. 'Cause we have technology that continues to patch itself, heal itself, continue running autonomously. That also saves in a time like now where you don't have to worry about sending teams out to patch and upgrade things on a continuous basis. We take care of that for our customers. >> I think you guys can see a lot of growth with this recession and looming. You guys fit well in the marketplace. As people figure out how to right size, you guys fit right nicely into that equation. I got to ask you, what's ahead for 2023 for Boomi? What can we expect to see? >> Yeah, what's ahead? I briefly mentioned it earlier, but the new service we're really excited about that 'cause it's going to help our customers to scale even further and bring more workloads into AWS and more workloads that we can solve challenges for our customers. We've also got additional solutions. We're looking at launching on AWS marketplace. We're going to continue working with SIs and GSIs and our ISV ecosystem to identify more and more enterprise great solutions and verticals and industry-based solutions that we can take out of the box and give to our customers. So we're just going to keep growing. >> What are some of those key verticals? Just curious. >> So we're focusing on manufacturing, the financial services industry. I don't know, maybe it's vertical, but higher ed's another big one for us. So we have over a hundred universities that use our technology in order to automate, grant submissions, student management of different aspects, that sort of thing. Boise State is one of them that's modernized on AWS with Boomi technology. So we're going to continue rolling in that front as well. >> Okay. Is it time for the challenge? >> It's time for the challenge. Are you ready for the challenge, Ed? We're springing this on you, but we know you so we know you can nail this. >> Oh no. >> If you were going to create your own sizzle reel and we're creating sizzle reel that's going to go on Instagram reels and you're going to be a star of it, what would that sizzle reel say? Like if you had a billboard or a bumper sticker, what's that about Boomi boom powerful story? >> Well, we joked about this earlier, but I'd have to say, Go Boomi it. This isn't real. >> Go Boomi it, why? >> Go Boomi it because it's such a succinct way of saying our customer, that terminology came to us from our customers because Boomi becomes a verb within an organization. They'll typically start with us and they'll solve an integration challenge or something like that. And then we become viral in a good way with an organization where our customers, Lisa, you mentioned it earlier before the show, you love talking to our customers 'cause they're so excited and happy and love our technology. They just keep finding more ways to solve challenges and push their business forward. And when a problem comes up, an employee will typically say to another, go Boomi it. >> When you're a verb, that's a good thing. >> Ed: Yes it is. >> Splunk, go Splunk it. That was a verb for log files. Kleenex, tissue. >> Go Boomi it. Ed, thank you so much for coming back on your fourth time. So next time we see you will be fifth time. We'll get you that five-timers club jacket like they have on SNL next time. >> Perfect, can't wait. >> We appreciate your insight, your time. It's great to hear what's going on at Boomi. We appreciate it. >> Ed: Cool. Thank you. >> For Ed Macosky and John Furrier, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)

(energetic music) >> Hello, welcome to the CUBE's coverage of Boomi's Out of This World event. I'm John Furrier, host of theCUBE. We've got two great guests here, Chris McNabb, CEO of Boomi, and Ed Macosky, SVP and Head of Products, talking about hyper automation and the future of connectivity. Gentlemen, thank you for coming on theCUBE, great to see you. >> John, it is great to see you again as well. Looking forward to the next in-person one. >> I miss the in-person events, you guys have had great events and a lot of action happening. Love the big news of going out on your own direction, big financing, change of control, all that good stuff happening, industries growing. Chris, this is a big move. You know, the industry is changing. Can you give us some context to, you know, what's going on in automation and connectivity, because iPaaS, which you guys have pioneered, have been a big part of Cloud and CloudScale, and now we're seeing next-generation things happening. Data, automation, edge, modern application development, all happening. Set some context, what's going on? >> Yeah John, listen, it's a great time to be in our space at this point in time. Our customers, at the end of the day, are looking to create what we announced at last year's thing, called Integrated Experiences, which is the combination of user engagement, more awesome connectivity, and making sure high quality data goes through that experience, and providing 21st century experiences. And we're right at the heart of that work. Our platform really drives all the services that are needed there. But what our customers really need and what we're here to focus on today, that this world is to make sure that we have the world's best cut connectivity capabilities, and process automation engagement of constituents to really do what they want to do, where they want to do it. >> So a lot of big moves happening, what's the story? Take us through the story. I mean, you guys have a transaction with big sum financing, setting up this intelligence connectivity and automation approach. Take us through the story, what happened? >> Yeah. So, you know, the lead business was sold outside of Dell and that deal closed. We are now owned by two top tier private equity firms, FP and TPG. That sale is completed and now we are ready to unleash the Boomi business on this market. I think it's a great, it's a great transaction for Dell, and it's a great transaction for FP, PTG but most specifically, it's really a world-class transaction for the Boomi business, the Boomi customer base, as well as the Boomi employee. So I really looked at this as a win-win-win and sets us up for really going after this one. >> Yeah, and there's a huge wave coming and you're seeing like the, the big wave coming. It's just like, no need to debate it. It's here. It's cloud 2.0, whatever you want to call it, it's scale. IT has completely figured out, that not only is replatforming the cloud, but you got to be in the cloud refactoring. This is driving the innovation. And, this is really I see where you guys are leading. So share with me what is hyper automation? What is that actually mean? >> So what hyper automation really is, is intelligent connectivity automation. So our customers have been doing this. It's very specifically related to taking workflows, taking automation within the business. That's been around for a long time anyway, but adding AI and ML to it. So, as you continue to automate your business, you're getting more and more steam, and you get more and more productivity out of the (mumbles) organization or productivity from the (mumbles). >> So Chris, tell us more about this hyper automation, because you guys have a large install base. Take us through some of the numbers of the customer base, and where the dots are connecting as they look at the new IT landscape as it transforms. >> Yeah. John, great question. You know, when I talk to, you know as many of our 18,000 customers worldwide as I can get to, you know, what they are saying very clearly is their IT news feed is getting more complicated, more distributed, more siloed, and it has more data. And as you work through that problem, what they're trying to accomplish, is they're trying to engage their constituents in a 21st century web, however they want, whether it be mobile web, portals, chat bots, old fashioned telephones. And in doing that, that complicated area is extraordinarily difficult. So that's the pervasive problem that Boomi is purpose-built to help solve. And our customers start out sometimes with just great connectivity. Hyper automation is where the real value comes in. That's where your constituents see a complete difference in how I inter-operate with (mumbles). >> So, first of all, I love the word hyper automation because it reminds me of hyper scale, which, you know, look at the Amazons and the cloud players. You know, that kind of game has kind of evolved. I mean, the old joke is what inning are we in, right? And, and I, to use a baseball metaphor, I think it's a doubleheader and game one is won by the cloud. Right? So, Amazon wins game one, game two is all about data. You guys, this is core to Boomi and I want to get your thoughts on this because data is the competitive advantage. But if you look at the pandemic and the stories that we're reporting on, and this reinvent specifically, that'll be a big story. The refactoring in the cloud is a big strategic effort, not just replatforming, refactoring in the cloud. So this is really where you guys are, I think, skating where the puck is. Am I getting it right, can you just share that vision? >> Yeah, John. From a vision perspective, I think the pandemic has really accelerated people's expectations. You know what we need to be more nimble, more flexible. And because they had a fair amount in the Cloud they have to understand what is the next tier, what is the next generation offerings that we put together tie together and connect. That is not only connecting systems, apps, databases, and clouds. You're connecting people, processes and devices. So we're going to have a great story here and out of this world about how we connect bio centric vest to a video system who a network monitoring hub to protect the officer's safety in Amsterdam in real-time. We can deploy officers to location all automatic. All decisions are automatic, all locations, cameras (mumbles) all automatically. And that's only possible, when we think about next generation technology that Boomi provides. Next generation capabilities by the other providers in that solution. >> Ed, before we get to the product announcements for the even, we'll get your reaction to that. I see in the cloud you can refactor, you got data, you got latency issues. These are all kind of go away when you start thinking about integrating it altogether. What's your reaction to refactoring as the next step? >> Yeah. So my regular, I mean, exactly what Chris said, but as our customers are moving to the cloud, they're not choosing any more, just one cloud. It is a multi-cloud it's multidimensional (mumbles), you got multi-cloud, you got hybrid cloud, you have edge devices, et cetera. And our technology just naturally puts this in the space to do that. And based on what we see with our customers, we actually have, we've connected over 189,000 different devices, application points, data endpoints, et cetera to people. And we're seeing that growth of 44% year on year. So, we're seeing that explosion in helping customers, and we just want to accelerate that, and help them react to these changes as quickly as they possibly can. And a lot of it doesn't require, you know, massive upload project technology. We've been lucky enough to be visionaries that with our deployment technology, being able to embrace this new environment that's coming up or we're right at the forefront of this (mumbles). >> Yeah. I love the intelligence saying, I love hyper automation. Okay, let's get into the product announcements of Out of This World event. What are some of the announcements, and share with us the key highlights. >> Yeah. So first and foremost, we've announced a vision in our tactic. So I talked about the 189,000 applications that we did data endpoints, et cetera, that our customers are picking today. And they're moving very, very rapidly with that and it's no longer about name, connections, and having these fixed auxiliary that connects to applications you need to be able to react intelligently, pick the next endpoint and connect very quickly and bring that into your ecosystem. So we've got this vision towards the connectivity service that we're working on that will basically normalize that connectivity across all of the applications that are plugging into Boomi's iPaaS ecosystem and allow customers to get up and running very quickly. So I'm really excited about that. The other thing we announced is Boomi event streams. So in order to complete this, we can't just, we've been on this EDA journey Event-Driven Architecture for the last couple of years, and embracing an open ecosystem. But we found that in order to go faster for our customers, it's very, very important that we bring this into Boomi's iPaaS platform. Our partnerships in this area are still very important for us. But there is an avenue that our customers are demanding that, "hey, bring us into your platform." And we need to move faster with this, and our new Boomi event streams will allow them to do that. We also recently just announced the Boomi Discover Catalog. So this is the, this is an ongoing vision us. We're, building up into a marketplace where customers and partners can all participate, whether it's inside of a customer's ecosystem or partners, or Boomi, et cetera, offering these quick onboarding solutions for their customers. So we will learn intelligently as people have these solutions to help customers onboard, and build, and connect to these systems faster. So that's kind of how they all come together for us In a hyper automation scenario the last thing too, is we are working on RPA as a last mile connectivity that's where we start RPAs today, you know, gone are going to be the days of having RPA at a desktop perspective where you have to have someone manually run that. Although its RPA our runtime technology extends the desktops anyway. So we are going to bring RPA technology into the IPaaS platform as we move forward here so that our customers can enjoy the benefits of that as well. >> That's real quick. It was going to ask about the fence stream. I love this RPA angle. Tell me more about how that impacts is that's that's what I think, pretty big what's the impact of when you bring robotic processes on our RPA into iPaaS, what's the, what's the impact of the customer? >> The impact of the customer is that we believe that customers can really enjoy true cloud when it comes to RPA technology today, most of the RPA technologies, like I said, are deployed at a desktop and they are, they are manually run by some folks. It helps speed up the business user and adds some value there. But our technology will surely bring it to the cloud and allow that connectivity of what an arm robotic process automation solution will be doing and can tap into the iPaaS ecosystem and extend and connect that data up into the cloud or even other operating systems that the customer (mumbles). >> Okay. So on the event streams that you did, you guys announced, obviously it's the best part of the embedded event driven architecture, You guys have been part of. What is, why is it important for customers? Can you just take a minute to explain why event streams and why event driven approaches are important. >> Because customers need access to the data real time. So, so there's two reasons why it's very important to the customers one is Event Driven Architectures are on the rise, in order to truly scale up an environment. If you're talking tens of millions of transactions, you need to have an Event Driven Architecture in place in order to manage that state. So you don't have any message loss or any of those types of things. So it's important that we continue to invest as we continue to scale on our customers and they scale up their environments with us. The other reason it is very important for us to bring it into our ecosystem, within our platform is that our customers enjoy the luxury of having an integrated experience themselves as they're building, you know, intelligent connectivity and automation solutions within our platform. So to ask a customer, to go work with a third party technology versus enjoying it in an integrated experience itself is why we want to bring it in and have them get their (mumbles) much faster. >> I really think you guys are onto something because it's a partnership world. Ecosystems are now everywhere. There's ecosystems, because everything's a platform now that's evolving from tools to platforms and it's not a one platform rules the world. This is the benefit of how the clouds emerging, almost a whole nother set of cloud capabilities. I love this vision and you start to see that, and you guys did talk about this thing called conductivity marketplace. And what is that? Is that a, is that a place where people are sharing instead of partnershipping? I know there's a lot of partners are connected with each other and they want to have it all automated. How does this all play in? Can you just quickly explain that? >> Yeah, so in the last year we launched and we actually launched open source community around connectors and that sort of thing we invested pretty heavily in RSDK. We see quite a big uptake in the ecosystem of them building specific connectors, as well as solution. And our partners were very excited about partnering with us and (mumbles) to markets and those sorts of things that they can offer solutions to their customers on a marketplace. So, so we are reacting to the popular demand that we have from our partners and customers where they say, Hey, we'd love to participate in this marketplace. We'd love to be able to work with you and publish solutions that we're delivering more customers. So, so we're, we're fulfilling that mission on behalf of our customers and partners. >> You know, Chris, when you look at the cloud native ecosystem at the high level, you're seeing opensource driving a big part of it, large enterprises, large customers are moving to that next level of modern application development. They're partnering, right? They're going to out, outsource and partner some, some edge components, maybe bring someone else over here, have a supplier everything's confide now in the cloud, AKA dev ops meets, you know, business logic. So this seems to be validated. How do you see this evolving? How does this iPaaS kind of environment just become the environment? I mean, it seems to me that that's what's happening. What's your reaction to the, to that trend? >> I think as iPaaS evolves we've extended the breadth of our iPaaS dramatically. We're not an integration platform. We're, we take the broadest definition of the word integration I guess I'll say it that way. You'll be integrating people. Connecting people is just as important as connecting cloud applications So, you know, that that's part one in terms of the vision of what it is two is going to be the importance of speed and productivity. It's critically important that people can figure out how to reconnect because endpoints are exploding. You have to connect these extraordinarily quickly infractions of the amount of time that it ever took and coding, code is just not the way that that works. You have to have it abstracted and you have to make it simpler, low-code, no-code environments, configuration based environments, make it simpler for more people outside of IT to actually use the solutions. So that's where these platforms become much more pervasive than the enterprise, solve a much bigger problem, and they solve it at speeds. So, you know, the vision for this is just to continue to accelerate that, you know, when we got started here, things used to take months and months, you know, it came down to weeks, it came down to days, it's in to hours. We're looking at seconds to define connectivity in an easy button, those get connected and get working. That's our vision for intelligent connectivity. >> Okay, so we're talking about hyper automation in the future context. That's the segment here? What is a feature conductivity? Take me through that. How does that evolve? I can see marketplace. I can see an ecosystem. I see people connecting with partners and applications and data. What is the future of connectivity? >> The vision, right? For connectivity, and they talk about our connectivity as a service, but you know, you have to think about it as connectivity instead of connectors, like an NBO, a thing that talks to it, and what we look at is like, you should be able to point to an endpoint, pick a cloud app, any cloud application.  You have an API. I should be able to automatically programmatically and dynamically, anytime I want go interrogate that, browse it in the button and I've established connectivity, and the amount of take, in the amount of time it's taken me to explain it, you should almost be able to work through it and be connected to that and talking to that endpoint, we're going to bring that kind of connectivity, that dynamic generated, automatic connectivity, in to our platform, and that's the vision >> And people connect to user from a product standpoint and this should be literally plug and play, so to speak, old, old term, but really seamlessly, automated play, automate and play kind of just connect. >> Yes, absolutely. And what Chris was talking, I was thinking about a customer to be named, but one of the, during one of the interviews coming up at Out of this World, the customer was describing to us today, already the capabilities that we have, where he is, a CTO was able to get an integration up and running before this team was able to write the requirements for the integration. So, so those are the types of things we're looking to continue add to, to add to. And we're also, you know, not asking our customers to make a choice. You can scale up and scale down. It's very important for our customers to realize whether the problem's really big or really small our platforms there to get it done fast and in a secure way. >> I see a lot of people integrating in the cloud with each other and themselves other apps, seeing huge benefits while still working on premise across multiple environments. So this kind of new operating models evolving, some people call it refactoring, whatever term you want to use. It's a change of, of a value creation, creates new value. So as you guys go out, Chris, take us through your vision on next steps. Okay. You're, you're going to be independent. You got the financing behind you. Dell got a nice deal. You guys are going forward. What's next for boomi? >> Well, listen John, we, we, you know, we couldn't be more excited having the opportunity to truly unleash, you know, this business out on the market and you know, our employees are super excited. Our customers are going to benefit. Our customers are going to get a lot more product innovation every single day, we are ready to put out 11 releases a year. There's literally a hundred different features we put in that product. We're looking to double down on that and really accelerate our path towards those things what we were talking about today. Engagement with our customers gets to get much better, you know, doubling down on customer success. People support people, PSL in the field gets us engaging our customers in so many different ways. There's so much more folks that when we partner with our customers, we care about their overall success, and this investment really gives us so many avenues now to double down on and making sure that their journey with us and their journey towards their success as a business and how we can help them. Some of them, we help them get there. >> You guys got a lot of trajectory and experience and knowledge in this industry I think. It's really kind of a great position to be in. And as you guys take on this next wave, Chris McNabb, CEO Boomi, Ed Macosky, SVP, head of projects, thanks for coming on the cube, and this is the cube coverage of Boomi's Out of This World. I'm John Furrier, your host. Thanks for watching. (upbeat music)

>> From around the globe, it's theCUBE, covering Data Citizens '21. Brought to you by Collibra. >> For the past decade organizations have been effecting very deliberate data strategies and investing quite heavily in people, processes and technology, specifically designed to gain insights from data, better serve customers, drive new revenue streams we've heard this before. The results quite frankly have been mixed. As much of the effort is focused on analytics and technology designed to create a single version of the truth, which in many cases continues to be elusive. Moreover, the world of data is changing. Data is increasingly distributed making collaboration and governance more challenging, especially where operational use cases are a priority. Hello, everyone. My name is Dave Vellante and you're watching theCUBE coverage of Data Citizens '21. And we're pleased to welcome Michele Goetz who's the vice president and principal analyst at Forrester Research. Hello, Michele. Welcome to theCUBE. >> Hi, Dave. Thanks for having me today. >> It's our pleasure. So I want to start, you serve have a wide range of roles including enterprise architects, CDOs, chief data officers that is, analyst, the analyst, et cetera, and many data-related functions. And my first question is what are they thinking about today? What's on their minds, these data experts? >> So there's actually two things happening. One is what is the demand that's placed on data for our new intelligent digital systems. So we're seeing a lot of investment and interest in things like edge computing. And then how does that intersect with artificial intelligence to really run your business intelligently and drive new value propositions to be both adaptive to the market as well as resilient to changes that are unforeseen. The second thing is then you create this massive complexity to managing the data, governing the data, orchestrating the data because it's not just a centralized data warehouse environment anymore. You have a highly diverse and distributed landscape that you both control internally, as well as taking advantage of third party information. So really what the struggle then becomes is how do you trust the data? How do you govern it, and secure, and protect that data? And then how do you ensure that it's hyper contextualized to the types of value propositions that our intelligence systems are going to serve? >> Well, I think you're hitting on the key issues here. I mean, you're right. The data and I sort of refer to this as well is sort of out there, it's distributed at the edge. But generally our data organizations are actually quite centralized and as well you talk about the need to trust the data obviously that's crucial. But are you seeing the organization change? I know you're talking about this to clients, your discussion about collaboration. How are you seeing that change? >> Yeah, so as you have to bring data into context of the insights that you're trying to get or the intelligence that's automating and scaling out the value streams and outcomes within your business, we're actually seeing a federated model emerge in organizations. So while there's still a centralized data management and data services organization led typical enterprise architects for data, a data engineering team that's managing warehouses as in data lakes. They're creating this great platform to access and orchestrate information, but we're also seeing data, and analytics, and governance teams come together under chief data officers or chief data and analytics officers. And this is really where the insights are being generated from either BI and analytics or from data science itself and having dedicated data engineers and stewards that are helping to access and prepare data for analytic efforts. And then lastly, this is the really interesting part is when you push data into the edge the goal is that you're actually driving an experience and an application. And so in that case we are seeing data engineering teams starting to be incorporated into the solutions teams that are aligned to lines of business or divisions themselves. And so really what's happening is if there is a solution consultant who is also overseeing value-based portfolio management when you need to instrument the data to these new use cases and keep up with the pace of the business it's this engineering team that is part of the DevOps work bench to execute on that. So really the balances we need the core, we need to get to the insights and build our models for AI. And then the next piece is how do you activate all that? And there's a team over there to help. So it's really spreading the wealth and expertise where it needs to go. >> Yeah, I love that. You took a couple of things that really resonated with me. You talked about context a couple of times and this notion of a federated model, because historically the sort of big data architecture, the team, they didn't have the context, the business context, and my inference is that's changing and I think that's critical. Your talk at Data Citizens is called how obsessive collaboration fuels scalable DataOps. You talk about the data, the DevOps team. What's the premise you put forth to the audience? >> So the point about obsessive collaboration is sort of taking the hubris out of your expertise on the data. Certainly there's a recognition by data professionals that the business understands and owns their data. They know the semantics, they know the context of it and just receiving the requirements on that was assumed to be okay. And then you could provide a data foundation, whether it's just a lake or whether you have a warehouse environment where you're pulling for your analytics. The reality is that as we move into more of AI machine learning type of model, one, more context is necessary. And you're kind of balancing between what are the things that you can ascribe to the data globally which is what data engineers can support. And then there's what is unique about the data and the context of the data that is related to the business value and outcome as well as the feature engineering that is being done on the machine learning models. So there has to be a really tight link and collaboration between the data engineers, the data scientists, and analysts, and the business stakeholders themselves. You see a lot of pods starting up that way to build the intelligence within the system. And then lastly, what do you do with that model? What do you do with that data? What do you do with that insight? You now have to shift your collaboration over to the work bench that is going to pull all these components together to create the experiences and the automation that you're looking for. And that requires a different collaboration model around software development. And still incorporating the business expertise from those stakeholders, so that you're satisfying, not only the quality of the code to run the solution, but the quality towards the outcome that meets the expectation and the time to value that your stakeholders have. So data teams aren't just sitting in the basement or in another part of the organization and digitally disconnected anymore. You're finding that they're having to work much more closely and side by side with their colleagues and stakeholders. >> I think it's clear that you understand this space really well. Hubris out context in, I mean, that's kind of what's been lacking. And I'm glad you said you used the word anymore because I think it's a recognition that that's kind of what it was. They were down in the basement or out in some kind of silo. And I think, and I want to ask you this. I come back to organization because I think a lot of organizations look the most cost effective way for us to serve the business is to have a single data team with hyper specialized roles. That'll be the cheapest way, the most efficient way that we can serve them. And meanwhile, the business, which as you pointed out has the context is frustrated. They can't get to data. So there's this notion of a federated governance model is actually quite interesting. Are you seeing actual common use cases where this is being operationalized? >> Absolutely, I think the first place that you were seeing it was within the operational technology use cases. There the use cases where a lot of the manufacturing industrial device. Any sort of IOT based use case really recognized that without applying data and intelligence to whatever process was going to be executed. It was really going to be challenging to know that you're creating the right foundation, meeting the SLA requirements, and then ultimately bringing the right quality and integrity to the data, let alone any sort of data protection and regulatory compliance that has to be necessary. So you already started seeing the solution teams coming together with the data engineers, the solution developers, the analysts, and data scientists, and the business stakeholders to drive that. But that is starting to come back down into more of the IT mindset as well. And so DataOps starts to emerge from that paradigm into more of the corporate types of use cases and sort of parrot that because there are customer experience use cases that have an IOT or edge component to though. We live on our smart phones, we live on our smart watches, we've got our laptops. All of us have been put into virtual collaboration. And so we really need to take into account not just the insight of analytics but how do you feed that forward. And so this is really where you're seeing sort of the evolution of DataOps as a competency not only to engineer the data and collaborate but ensure that there sort of an activation and alignment where the value is going to come out, and still being trusted and governed. >> I got kind of a weird question, but I'm going. I was talking to somebody in Israel the other day and they told me masks are off, the economy's booming. And he noted that Israel said, hey, we're going to pay up for the price of a vaccine. The cost per dose out, 28 bucks or whatever it was. And he pointed out that the EU haggled big time and they don't want to pay $19. And as a result they're not as far along. Israel understood that the real value was opening up the economy. And so there's an analogy here which I want to come back to my organization and it relates to the DataOps. Is if the real metric is, hey, I have an idea for a data product. How long does it take to go from idea to monetization? That seems to me to be a better KPI than how much storage I have, or how much geometry petabytes I'm managing. So my question is, and it relates to DataOps. Can that DataOps, should that DataOps individual maybe live, and then maybe even the data engineer live inside of the business and is that even feasible technically with this notion of federated governance? Are you seeing that and maybe talk a little bit more about this DataOps role. Is it. >> Yeah. >> Fungible. >> Yeah, it's definitely fungible. And in fact, when I talked about sort of those three units of there's your core enterprise data services, there's your BI and data, and then there's your line of business. All of those, the engineering and the ops is the DataOps which is living in all of those environments and being as close as possible to where the value proposition is being defined and designed. So absolutely being able to federate that. And I think the other piece on DataOps that is really important is recognizing how the practices around continuous integration and continuous deployment using agile methodologies is really reshaping. A lot of the waterfall approaches that were done before where data was lagging 12 to 18 months behind any sort of insights, but a lot of the platforms today assume that you're moving into a standard mature software development life cycle. And you can start seeing returns on investment within a quarter, really, so that you can iterate and then speed that up so that you're delivering new value every two weeks. But it does change the mindset this DataOps team aligned to solution development, aligned to a broader portfolio management of business capabilities and outcomes needs to understand how to appropriately scope the data products that they're delivering to incremental value-based milestones. So the business feels that they're getting improvements over time and not just waiting. So there's an MVP, you move forward on that and optimize, optimize, extend scale. So again, that CICD mindset is helping to not bottleneck and wait for the complete field of dreams to come from your data and your insights. >> Thank you for that, Michelle. I want to come back to this idea of collaboration because over the last decade we've seen attempts, I've seen software come out to try to help the various roles collaborate and some of it's been okay, but you have these hyper specialized roles. You've got data scientists, data engineers, quality engineers, analysts, et cetera. And they tend to be in their own little worlds. But at the end of the day we rely on them all to get answers. So how can these data scientists, all these stewards, how can they collaborate better? What are you seeing there? >> You need to get them onto the same process. That's really what it comes down to. If you're working from different points of view, that's one thing. But if you're working from different processes collaborating is really challenging. And I think the one thing that's really come out of this move to machine learning and AI is recognizing that you need processes that reinforce collaboration. So that's number one. So you see agile development in CICD not just for DataOps, not just for DevOps, but also encouraging and propelling these projects and iterations for the data science teams as well or even if there's machine learning engineers incorporated. And then certainly the business stakeholders are inserted within there as appropriate to accept what it is that is going to be developed. So processes is number one. And number two is what is the platform that's going to reinforce those processes and collaboration. And it's really about what's being shared. How do you share? So certainly what we're seeing within the platforms themselves is everybody contributing into some sort of a library where their components and products are being ascribed to and then that's able to help different teams grab those components and build out what those solutions are going to be. And in fact, what gets really cool about that is you don't always need hardcore data scientists anymore as you have this social platform for data product and analytic product development. This is where a lot of the auto ML begins because those who are less data science-oriented but can build an insight pipeline, can grab all the different components from the pipelines to the transformations, to capture mechanisms, to bolting into the model itself and allowing that to be delivered to the application. So really kind of balancing out between process and platforms that enable and encourage, and almost force you to collaborate and manage through sharing. >> Thank you for that. I want to ask you about the role data governance. You've mentioned trust and that's data quality, and you've got teams that are focused on and specialists focused on data quality. There's the data catalog. Here's my question. You mentioned edge a couple of times and I can see a lot of that. I mean, today, most AI is are a lot of value, I would say most is modeling. And in the future, you mentioned edge it's going to be a lot of influencing in real time. And people maybe not going to have the time or be involved in that decision. So what are you seeing in terms of data governance, federate. We talked about federated governance, this notion of a data catalog and maybe automating data quality without necessarily having it be so labor intensive. What are you seeing the trends there? >> Yeah, so I think our new environment, our new normal is that you have to be composable, interoperable, and portable. Portability is really the key here. So from a cataloging perspective and governance we would bring everything together into our catalogs and business glossaries. And it would be a reference point, it was like a massive Wiki. Well, that's wonderful, but why just how's it in a museum. You really want to activate that. And I think what's interesting about the technologies today for governance is that you can turn those rules, and business logic, and policies into services that are composable components and bring those into the solutions that you're defining. And in that way what happens is that creates portability. You can drive them wherever they need to go. But from the composability and the interoperability portion of that you can put those services in the right place at the right time for what you need for an outcome so that you start to become behaviorally driven on executing on governance rather than trying to write all of the governance down into transformations and controls to where the data lives. You can have quality and observability of that quality and performance right at the edge and context of behavior and use of that solution. You can run those services and in governance on gateways that are managing and routing information at those edge solutions and we synchronization between the edge and the cloud comes up. And if it's appropriate during synchronization of the data back into the data lake you can run those services there. So there's a lot more flexibility and elasticity for today's modern approaches to cataloging, and glossaries, and governance of data than we had before. And that goes back into what we talked about earlier of like, this is the new wave of DataOps. This is how you bring data products to fruition now. Everything is about activation. >> So how do you see the future of DataOps? I mean, I kind of been pushing you to a more decentralized model where the business has more control 'cause the business has the context. I mean, I feel as though, hey, we've done a great job of contextualizing our operational systems. The sales team they know when the data is crap within my CRM, but our data systems are context agnostic generally. And you obviously understand that problem well. But so how do you see the future of DataOps? >> So I think what's kind of interesting about that is we're going to go to governance on greed versus governance on right more so. What do I mean by that? That means that from a business perspective there's two sides of it. There's ensuring that where governance is run is as we talked about before executing at the appropriate place at the appropriate time. It's semantically domain-centric driven not logical and systems centric. So that's number one. Number two is also recognizing that business owners or business operations actually plays a role in this, because as you're working within your CRM systems, like a Salesforce, for example you're using an iPaaS MuleSoft to connect to other applications, connect to other data sources, connect to other analytics sources. And what's happening there is that the data is being modeled and personalized to whatever view insight our task has to happen within those processes. So even CRM environments where we think of as sort of traditional technologies that we're used to are getting a lift, both in terms of intelligence from the data but also your flexibility and how you execute governance and quality services within that environment. And that actually opens up the data foundations a lot more and avoids you from having to do a lot of moving, copying centralizing data and creating an over-weighted business application and an over, both in terms of the data foundation but also in terms of the types of business services, and status updates, and processes that happen in the application itself. You're drawing those tasks back down to where they should be and where performance can be managed rather than trying to over customize your application environment. And that gives you a lot more flexibility later too for any sort of upgrades or migrations that you want to make because all of the logic is contained back down in a service layer instead. >> Great perspectives, Michelle, you obviously know your stuff and it's been a pleasure having you on. My last question is when you look out there anything that really excites you or any specific research that you're working on that you want to share, that you're super pumped about? >> I think there's two things. One is it's truly incredible the amount of insight and growth that is coming through data profiling and observation. Really understanding and contextualizing data anomalies so that you understand is data helping or hurting the business value and tying it very specifically to processes and metrics, which is fantastic as well as models themselves like really understanding how data inputs and outputs are making a difference whether the model performs or not. And then I think the second thing is really the emergence of more active data, active insights. And as what we talked about before your ability to package up services for governance and quality in particular that allow you to scale your data out towards the edge or where it's needed. And doing so not just so that you can run analytics but that you're also driving overall processes and value. So the research around the operationalization and activation of data is really exciting. And looking at the networks and service mesh to bring those things together is kind of where I'm focusing right now because what's the point of having data in a database if it's not providing any value. >> Michele Goetz, Forrester Research, thanks so much for coming on theCUBE. Really awesome perspectives. You're in an exciting space, so appreciate your time. >> Absolutely, thank you. >> And thank you for watching Data Citizens '21 on theCUBE. My name is Dave Vellante. (upbeat music)

>> Announcer: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Hi, I'm Stu Miniman and welcome to a special CUBE conversation. I'm coming from the Boston area studio. We were supposed to have a KubeCon Europe in Amsterdam. First in the spring, they pushed it off to the summer, and, of course, the decision due to the global pandemic is it's making it virtual. But happy to welcome to the program two guests that I was planning to have on in person, but couldn't wait for our virtual coverage of the event, though. Happy to welcome the co-founders of TriggerMesh. Sitting in the middle is Mark Hinkle, who is the CEO of the company, and to the other side is Sebastien Goasguen, who is also the co-founder and the Chief Product Officer. Gentlemen, thanks so much for joining us. >> Thanks for having us, Stu. >> Thanks, Stu. >> All right, so, it's interesting, we've been covering the cloud native space for a number of years, and especially at KubeCon, there's always some of those discussions of does cloud kill on-premises, does this new thing kill that old thing. And in some of the early days of KubeCon, it was like, well, containers are really interesting, and there was all the buzz for years about Docker but, hey, the next thing is going to be serverless. And serverless, we don't need to think about any of that stuff, it's the nirvana of what developers wanted. So therefore, let's not worry about containers, but you sit in that space really helping to connect between some of the various pieces. So, I guess, Sebastien, maybe if I could start with you, 'cause you've built some of these various projects, when you go through and look at your background, you've been involved in the co-business space, uBLAS, and now for TriggerMesh but, you know, give us some of that background as to how, from a technological under pinnings, the community's been thinking about how these worlds fit together. >> Yeah sure, it's very interesting because first, the container rejuvenation started with Docker obviously and then Kubernetes appeared, and the entire community started building this. And this was really an evolution from the virtual machine orchestration, right. People needing a better way to package applications, deploy them, and they said, "You know what, "virtual machines are not that great for this. "Can't we have a better vehicle to do this" and that's where, really, containers took over. And it made total sense and so we saw this switch from, craziness about open stack and even cloud stack that Mark and I worked on, and putting all the focus on containers. And then comes AWS always innovating, always in the lead, and AWS saying, "Hey, you know what? "Actually, we need to go serverless. "We need to forget about the infrastructure. "What people want is really deploy applications "without worrying about the infrastructure. "They want things that are going to auto scale. "They want to pay very little, even pay per function call "and not pay when your VM is up." So AWS really pushed this mindset of serverless, but then what was the meaning in that realm of containers, and that's when I started Kubeless and I said, "You know what, if you would need to build function "as a service, you should build it on Kubernetes, "and use Kubernetes as a platform." And from there we started started seeing this fight, a little bit, between people, saying "Hey, forget containers, go serverless." So in TriggerMesh, we're not really taking that stance. We really see on-premises has, it's always going to be here, we have worked clouds on-premises, we have our own data centers but definitely there is more and more cloud usage, and when you start using the cloud you don't want to care about the infrastructure in the cloud, right. So, you want as much serverless as possible in the cloud, but you know you have to deal with your on-premises, data bases and some work loads and so on. So you have to be a pragmatic and you have to pick the best of both worlds and keep moving to modernize your stack and your IT in general. >> Excellent, alright so Mark, at the CNCF I'd seen the Knative project come out and it was talking about how we can connect containers and serverless, and one of the questions I'd been asking is "Well look, there are a lot "of open source projects for serverless." But when I talk to the community, when I talk to users, you say serverless, I think AWS. Sebastien was just talking about, so, I was sitting at the KubeCon shows and talking to the vendors and a lot of really big vendors were working on Knative, Oracle, IBM, RedHat and others and I said if this doesn't connect with AWS first and Azure second, I don't understand what we're doing. Yes, there's probably a place for on-premises but that was when, I think you and I had a conversation, we'd been looking at this space, so how did the ideas that Sebastien talked about turn into an initiative and a company of TriggerMesh. >> Well, early on we latched onto the Knative announcement that Google made. Google had given Sebastien some insight into where they were going with serverless, and the Knative project before it launched. And then they actually quoted him in the release which started interest in our company which was the only company in name at that point. But we really didn't know where Knative and Kubernetes together were going and the serverless movement, but we thought at first that there would need to be management capabilities to do lifecycle management around serverless functions, but what we realized, or Sebastien realized, early on was that it's not so much the management of serverless, because the whole idea of serverless is to abstract away all of the severs and architecture so that all you're really dealing with is the run time. So the problem that we saw early on was not managing but actually integrating applications across serverless framework, so the name TriggerMesh, that came from the idea that you trigger serverless functions and that you would mesh architectures whether they be legacy applications or they be file services or other serverless clouds across the fabric of the internet. So that's Triggermesh and that's really where we're going and we see that there's a couple of proof points in our industry for that already and people having the desire to do that. >> All right excellent, so that integration that you're talking about. Help Sebastien explain, there's some news I believe its the EveryBridge Cloud Native Integration Platform that's just announced. Help us understand what that is and what should we be kind of comparing it to other solutions in the industry today. >> Yeah so, you know we are very happy about the EveryBridge announcement and it's really, we're getting beta, we are doing a beta release of EveryBridge available in our SaaS cloud, the Triggermesh.io and really to first piggy back on what Mark was saying, is that a lot of people still believe serverless is just functions, right. And for us serverless is much more than this. Serverless is about building event driven applications. We see it with AWS, with things like they are doing with EventBridge, for example, but we really believe in this mindset. What we are trying to do is to help people build applications, build cloud native applications, that fundamentally are event driven and they are linking cloud services in the public cloud providers and also on-premises work load, right. So EveryBridge allows people to do this, to build those cloud native apps as basic event flows that connect event sources wherever they are, could be events that are on-prem from an eCommerce application, ERP application, could be events that are circulating through a Kafka infrastructure on-prem, and people can connect those event sources with what we call targets. So those targets could be on-premises, they would be OpenShift work loads for example or they could be in the cloud at AWS lambda functions, Google cloud run, or even dedicated SaaS like Twilio, SendGrid, and so on, so that's when we saw really over the last 18 to almost two years now, is that serverless is more of an integration problem, more like traditional IPaaS that we've seen, right. So basically we are building a new IPaaS solution at the frontier of serverless offerings from the public clouds, traditional messaging systems like Kafka, Remittent, Q and so on, plus the, I would say, the old IPaaS solution and we're doing all of this backed by Kubernetes and Knative. >> Excellent, so Mark I heard Sebastien talking about, he mentioned OpenShift, talked about Google, speak a little bit to really the ecosystems, the market places that TriggerMesh fits into. What are the use cases that you are seeing customers using. >> Yeah, I think a couple of the, to the dive into the on-prem triggers we have capabilities to trigger oracle database changes that could actually pick off cloud based ETL transactions. We're seeing that users are going through digital transformation and really to be more specific given the global climate right now, it's remote work, and the idea of lifting and shifting all of your infrastructure into the cloud is pretty daunting and long ask, but if you can front end those systems with new cloud native architecture and you have a way to create those event flows to tie in your existing systems to new portals for your employees to get their work done, automate workflows to provision new systems, like Zoom for example, and other conferencing systems, you can use the serverless front ends and work flows that actually integrate with all of your existing infrastructure and give you a way to extend your life of your applications and modernize them. >> Yeah, the long pole on attending modernization is that application. Sebastien maybe I'd come to you on this is, I think about iPaaS, when you look at that space they talk about all the integration that they need to work on, usually there are certifications involved, you mentioned Oracle databases, these are things that we need to go in there with a engineering effort and make sure that it is tested and certified by the ISV out there. Does containerization, Kubernetes, and serverless, does this change it at all, does this make it easier to move along these environments? I guess the question is for the enterprise, normally this change is rather slow. Mark was just alluding to the fact that we need to do some of these things faster, to try to react from what's happening in the world. >> Yeah, I think that's the entire premise of containers. It's speeding up the software life cycle and the speed at which we can deliver new features, for all our applications and so on. So, a big part of the job, when Docker started and then Kubernetes has been, if you adopt that type of infrastructure and that type of artifact, containers, you're going to speed up your software management and software delivery. So now what happens is that you have slow moving pieces, maybe pieces that you've had in your data center for 10, 20 years, for quite a while, and then you have these extremely fast moving environment, which is containerized and running Kubernetes plus the cloud. That's even, we could say even faster moving, and you can, that's definitely the challenge, that's where we see the value and that's where we see the struggle, is that you have all those big companies that have those slow moving pieces Oracle DB, IBM MQ, and so on and they need to make those pieces relevant in a fast moving containerized world and in a cloud native world, right. So how do you bridge that gap? Well that's what we do, we provide bridges. We provide integration bridges with every bridge, there you go. So we connect the event sources from Oracle DB and MQ and we bring that to a more fast moving cloud native environment, whether it's managed Kubernetes on Google GKE or whether its still on-prem in OpenShift. >> Mark, want to get your view point, just being a start up in today's global environment, obviously, you look at the cloud data space, many of the companies are distributed. We're talking to Sebastien from over in Europe, you're down in North Carolina, but give us your view point as a startup. How is the current economic environment impacting you, impacting your partners, impacting your customers. >> So, our partners and customers are probably moving more slowly than we do as a startup because they had physical brick and mortar offices and now they are coming into our world. We're 100% virtual, we're in 3 continents across over 12 time zones. That kind of work versus where they're at, I think everybody is consciously moving ahead, the one thing that I will say is that their interest in being more like the startups that are virtual, don't have brick and mortar, are really good at online collaboration. They look at us for sort of inspiration on how they are going to do business going forward or at least for the foreseeable future. So, overall I think that, not only are we teaching them about cloud native technologies but we're just teaching them about distributed work forces in a quarantined world. >> Absolutely, and I think those are some of the key learnings that you look at that are diversity consistent in the cloud native space. Want to give you both a final word and-- >> And Stu if I just add something. Mark and I have been working from home for quite a while, eight to 10 years, and definitely right now this is not the normal working from home, right, we all have, most of us have kids at home 24/7. The cognitive load in the news is huge, this is not the normal environment. So we are extremely careful, we help each other definitely internally in the team, you know, India, Vietnam, Germany, Spain, U.S. We have to be extremely careful that everybody is not falling down and putting too much on the nerves and their spirits right, so not a normal environment and even though we know how to do it we have to be careful. >> Yeah Sebastien, I'm so glad you brought that up 'cause this is not just a, how do we move to a distributed system. There is the rest of the impact on that. All right so lets give you both final words. Hopefully, we absolutely will be gathering together even if we are remote for the KubeCon event for Europe, other event later on this year, but Sebastien let's start with you, final take aways. >> Yeah, so we are very excited to build a startup. It's fast moving, its an exciting industry and really seeing the beta release of EveryBridge for us. We are trying to bring the future of event driven application to everybody, event sources to targets for everyone, not just on AWS and taking all of the strength of Kubernetes with us. It's going to be a familiar system for all Kubernetes lovers. >> Great, and Mark. >> Well as we talked about today, we are very excited about the EveryBridge announcement, and if you are interested in a cloud native, serverless, digital transformation we think we have great tools for you. But on a more personal and global note, I think Sebastien hit something that's really important, it's that even though we are not all together it's really important to check in. Even these virtual sessions have been, it's nice to interact with your colleagues and friends in the industry but be kind to each other and don't just take it for granted. that everything is good at the other end of the wire so reach out to each other and we'll all get through this together. >> Well Mark and Sebastien, thank you so much for joining us. Absolutely the personal pieces as well as TriggerMesh. You're helping to pull some of those technology communities together so congratulations on the progress and definitely look forward to tracking where you go from here. >> Thanks Stu. >> Thanks a lot. >> We appreciate it. >> All right be sure to check out theCUBE.net, we will be covering KubeCon and CloudNativeCon Europe as it goes virtual as well as lots of others in the cloud developer space. I'm Stu Miniman and thank you for watching theCUBE. (upbeat music)

>> Narrator: Live from Washington, D.C., it's theCUBE covering Boomi World 19. Brought to you by Boomi. >> Welcome back, everyone, we are here live at Boomi World 2019. It's theCUBE's coverage here for two days. I'm John Furrier, your host, with Lisa Martin who stepped away, she'll be back. Les Rechan, President and CEO of Solace, is back on theCUBE. Cube alumni was with us in 2013. Les, welcome back to theCUBE, good to see you. You know we're on our 10th year of theCUBE, so it's 10 years we've been in business. You're early on with us, thanks for coming back. >> Thank you for having me. >> So you're an entrepreneur, you're on board, you're doing some investing. You see many ways of innovation. We are in one now that's really got a lot of waves coming together, convergence of multiple things happening. You're in the middle of it as the CEO. What's going on, what's your view? What's happened in the marketplace and what're you doing? >> Oh, I think, I agree this is early days. We've got this, everything's transforming, customers are re-imagining their businesses to be innovators, to move the world forward. And along with that, to enable it, we're dealing with a whole new IT infrastructure: hybrid cloud, multicloud, distributed microservices, IoT, real-time, so it's early days of that, and so we're in the business of helping those innovators move the world forward with smart data movements, so we're very excited about it. >> I want to get into your company that you're leading now and some other endeavors you're onto, but I want to get your take on how you see the market and how you talk to customers and friends and people in the industry. What's the biggest story going on in your mind right now? What's the top-line, high-order bit, trend or element or enabler, disruptive enabler. That's really powering the industry right now that's changing it for the better and creating opportunities. What's the big story in your mind? >> Well, time and data are the currency, and when you think about dealing with customers, you're listening to them, you're personalizing your engaging, and this is all about what I would call the event-driven customer journey experience. Business is a series of events. You want to get those events moving and flowing and really, when you think about it, that can be competitively advantaged for your business. >> You know it's interesting we had the folks on from Boomi here. I use the bloodstream as an example, but data movement is how the business we're in. We live in a digital world and it's combining. It's not mutually exclusive with the analog world. And you have, now, the coming together of a digitized society where things are instrumentable. You can actually get the data. And then you got to know what to look for. So, now, the challenge is with data become a big... This is a big, hard problem people try to crack the code on. Is there a formula in your mind to be truly data-driven or data-enabled or data-fed, leveraging the data? Do you see a playbook that companies can adopt to do that? >> Yeah, I think that companies are sitting on top of a lot of data. The key is to liberate it, to get it moving, but within your enterprise and then out to your partners and the customer world, so I think that you really want to just take advantage of it, you want to move it to where it needs to be, you want to augment the intelligence of the people within the enterprise and your customer set, so I talk about an event mesh, we call it. An event mesh enables the intelligent enterprise to deliver value. >> It's a nice concept, it's like connective tissue, or glue layers as a tech term-- >> Les: Digital river, central nervous system, whatever you want to call it. >> Great stuff, talk about the market you're going after. What's the market you're targeting? What's the size of it? What are you going after, what's the territory you guys are trying to take down? >> So, traditionally, we came out of what used to be called messaging-oriented middleware. So we're a messaging system. Now the term would be we're an advanced event broker. This thing used to be a couple-billion-dollar market now when you think about this hybrid multicloud, IoT. This thing has probably exploded by a factor of 10 or more. >> It's interesting RPA seems to be taking hot evaluations these days. Is that the same kind of thing, RPA and automation? They seemed like-- >> I think RPA, when you think about hybrid integration, you've got API management, you've got what Boomi does, the iPaaS, we're the advanced event broker, so we're talking about moving these events around. It could be request/reply, it could be pub/sub, async, synchronous, all these different patterns for all these different use cases that are out there, but that's really what we do as opposed to RPA. >> Got it, what's your business model? What's the business look like? How big is the company? Is it a cloud service? How do you make money? What are some of the details there? >> Well, we're a private company. We're growing very rapidly. We're about 300 people, it's a global enterprise. We're doing great things all over the world. We're enabling Digital India, for example, with companies like Airtel and Reliance, so instead of taking 30 minutes to do a mobile phone recharge, we do it in seconds. In Singapore, we're working with smart transportation, land transport, next-generation payments, 1.4 million connected cars and buses, getting that data flowing to optimize traffic, is another example. Safety-critical data in and out of the airplane which is a huge amount of events. Equities, transactions, we process 85% of the equities, transactions in Canada and the list goes on. We came out of capital markets. Now we're into these other industries 'cause everything's moving to this real-time, real-time sensitive type environment. >> And the intelligence of software. Is that the business model: you make money selling software? What is the--? >> Yeah, that's a great question. We've got multiple deployment models. We've got a hardware appliance, we've got software, we've got cloud. We are for subscriptions or operating expense or capital expense. This thing is a platform, so you've got the broker itself, you've got integration connectors, you've got the governance layers on top monitoring capability, so it's a solution set. We're very flexible and adaptable to the customer's business model in terms of subscriptions or cap packs, whatever you want. >> So you keep it flexible. >> Les: It's very flexible. >> Because, if you're running an IoT, running traffic lights, for instance, or doing some smart cities thing, then it's got to go over to another use case. They're different. >> Yes, we talk about being dynamic, open, and simple. Dynamic in terms of the agility of different types of use cases with one solution, open meaning running everywhere, and simple meaning easy to deploy and manage. >> Yeah, machine learning and data is going to be a nice substrate layer to innovate on, so awesome business model. Let's talk about the technology and the secret sauce. What's going on there? Explain the magic, what's going on with the tech product? >> The secret, this is all we do. Smart data movement is all we do. And we're the only company out there that's really-- >> John: What's smart data movement mean? Define that term. >> Smart data movement would be, I've got to get something from point A to point B. I want it to get there in a guaranteed, persistent way. That's kind of what we do as opposed to taking that payload and transforming it, so we're just moving the data around. We're making sure that it gets there, that you can recover it, et cetera, so that's what we do. >> We heard this on theCUBE this morning: "Apps come and go, but data always remains." And so this has been the theme. What's different with you guys in terms of differentiation? Because I've seen service brokers, they've come and gone. Service brokers are everywhere. It's a key part of a system architecture. You're dealing with solutions that have to think like a system. And systems have consequences. You got to think holistically, so what is your differentiation? What's the role of the broker? Just take us through that value proposition and what's differentiated. >> Yeah, I think the differentiation here is we're a platform. The dynamism and the agility is definitely unique in that we can do WAN optimization really well, we can deal with different use case patterns, so the dynamism and the agility, we can do ultra-low latency, we can do high volume, we can do general purpose across the same platform. The other point of differentiation would be openness, so we're open protocol. We support, whether it's AMQP, whether it's MQTT, we're an open system, and we support openness across all the hyperscalar platforms, across the passes. So dynamic, open, and then simple in terms of it being a single solution set, be it hardware, be it software, be it cloud, and successful. Our customers are very successful. The use cases that we support are compelling. We helped innovators move the world forward, so I'd say it's dynamic, open, simple, and successful. >> Who's the target audience: developers, C-suite? 'Cause you got to code this stuff. Those are two primary target audiences. >> Yeah, I think it's, really, it's both. It's business-driven, IT-enabled, so we tend to work with the architects, the CIO's, the middleware teams on one hand to support this reinvention of your business. On the other hand, when you think about transforming the business and doing something different and innovating, it's got to be business-driven. So here we are at Boomi World. The theme is Accelerated Outcomes, which is key. So it's really driving an outcome, but IT-enabled, so you got to support both sides. >> All right, you got a large growing market, you got a good business model, you got some secret sauce. Now, final segment, so customers, customers and societal benefits because, look, there's a tech for good angle in here, but also, there's a big wave of tech for bad, so all I hear in the news is: tech's evil, this is bad stuff, oh my god. So you got real customers, where's the benefits? Take us through some of the success stories and the opportunities for a tech-for-good component here 'cause I can see the benefits, it's on infrastructure side: deploying new capabilities, compelling, but benefits to society are super important too. >> Yeah, I would say just one example would be Digital India as an example where you're saying you've got hundreds of millions of people who really need to access different capabilities, different services with smartphones. You need to deal with huge volumes. Let's give them that access, let's make it quick, so enabling Digital India is one example of really doing something that helps, helps people live better, reduces their time doing things that they maybe would've taken a long time before. Another example would be Singapore, smart cities. If you can move the traffic flows around better, you've got a population that's increased by a million people in the last several years, that's another example, making payments faster, whatever the case may be. >> So I know you got a hard stop, you got to meet the CEO of Boomi, Chris McNabb, great guy, among theCUBE yesterday, Cube alumni as well. Final question for you is: is there any requirements that need to be in place to work with you guys? 'Cause I would say it's a huge task. Are there dependencies? Are there certain signs that customers need? When does someone know to deploy? I would say, if someone say, hey, I want to modernize my X, what's the tell sign for you guys to know where there's alignment with a project or customer? >> Yeah, I would say that it's a real-time sensitivity. Ideally, it's one where I want scalability. It's one where I want security. I want to be able to get the data to where it needs to be in a guaranteed way, and, at the same time, I want to do it in an affordable way. I want to have one platform for different use cases so that's what I would say around that. >> Les, thanks for taking the time to come on, share your insights in real time here on theCUBE. One final, final question, 'cause I look at the final, final question. You've seen a lot of waves, you've been in a lot of experiences, you've run companies, you're on a lot of boards. A lot of young people coming into the marketplace. I sometimes go on my rant: get off my lawn. Your kids don't know how good you had it. It's a great time to be young and the rescaling going on is an all-time high. What's your advice to the young, upwardly mobile tech, soon-to-be-tech, totally tech-savvy, future employees of the world? Because there's a lot of hard projects to tackle. Tons of jobs: cybersecurity, what you're doing. Do they know how good they have it and what's the advice that you would give people watching here, knowing how robust this environment is? >> Oh, I think it's a great environment and you're right. I think it's all about: people matter most and winning with talents, so the talent supply chain is a big issue. And one is: every day is a learning day. Make it a learn-it-all, keep learning every day 'cause this business is moving very quickly. At the same time, being a good team member, I would say, being compassionate, being empathetic to your teammates, and really using that to your advantage, is huge. It's one thing to have the domain skills, but it's also another thing to have those human skills that really make a difference. >> That's the team sport. It takes a village these days, stack is coming. Les, thanks for coming on. It's theCUBE coverage here in D.C. I'm John Furrier, thanks for watching, be right back. >> Thanks. (upbeat electronic music)

>> Narrator: Live from Washington D.C. It's theCUBE. Covering Boomi World '19. Brought to you by Boomi. >> Welcome to theCUBE. Lisa Martin with John Ferrier. We are in Washington D.C., at Boomi World '19. John and I have been here now for two days, and we're pleased welcome another CUBE alumni back to our program, Michael Morton, the CTO of Boomi, Michael J. Morton. >> Thank you! It's so great to be back with you guys. >> Great to see you. >> I love this. This is great. >> So we were geeking out the last day and a half, John and I were, with all of our guests and realized Booomi World 2018 was only 11 months ago. >> John: Yup. >> So here we are in D.C. Lots of news around fed rant marketplace certification. But in such a short period of time, Boomi has scaled to 9,000 plus customers in over 80 countries. Your partner ecosystem is now over 580. All in 11 months. And 11 months ago, one of the things that was very clear from all of the Boomi execs is we're going to redefine the i in iPaaS to be intelligence. Now here we are, fast track a few months later, we're going to be talking about, Boomi is talking about, redefining that i to be intelligent insights. Cool stuff. Talk to us about the insights. >> Okay, so let's talk about intelligence first. So everybody's intelligence happy of course, but we've been very disciplined of actually being articulate about what does intelligence mean, not just the label. So we have a history of intelligence being how can you facilitate customers building solutions on Boomi faster. That's our legacy. And so we'll always continue to add new features to the product, but we had an opportunity that we realized we kept in our back pocket for a little while, right? And that's around insights. So we knew that the way the world uses Boomi is to integrate data. They connect the things. They move data. But now we're kind of shifting a little bit and saying it defines what your business is doing, not what your data's doing. Right? So now comes insights, the first for any iPaaS to do, is now we can intelligently tell you what is your business doing. So now we had to make a decision. We can't just advertise it and say we do this, right? And hey, wave our hands. So we said we're going to pick a business challenge, not a very common one. Just kidding, of course. What's a business challenge that every business has? Data privacy. So we chose the insights to say we want to help customers address a business challenge of data privacy. It makes perfect sense. If Boomi is the traffic to running your business about moving data, what's data privacy? It's about getting your arms around the movement of your data. So it just was a perfect fit, for an integration platform as a service, to expose, in a much different way, where is the data about your business actually coming and going? >> Is it going to be part of the product, chargeable, free? How're you guys thinking about these insights? Is it going to be a module? Is it going to be a connector? How do you guys think about the insights piece of it from a consumption stand point, from a customer stand point. >> Okay, so I'll take it one step at a time. I will just be honest and say we have yet to decide is it a charge for feature? We're still evolving it, but consumption's a very important question, so today what we're doing is we have this capability working today. We talked about it on stage, very comfortable about speaking about it, because we're working with a set of customers that gave us real feedback about what's important and what's not important. The consumption's a very interesting question, because depending on the role, right? If you are a chief security officer, what do you want to see? Do you want to see PDFs? Do you want to see reports? Or do you want APIs to get the data to consume into something else? So, one of our to do's is consumption. How do you want to receive this information? So this is actually in the works. >> So, I can see policy and AI being helpful there. You mentioned privacy. I want to get to that in a second. But why not security? That's the number one problem, too. Data, privacy, and security. Is it just too elusive? Or is it too hard? >> Michael: To me, they go together. >> Okay, so explain. What's going on, how does security fit in to this? >> Yep. I mean, I think there's many aspects of security obviously. But I mean security from an access standpoint, all right? So I'll take the position of access. One of the reasons why customers buy Boomi today is they want to expose a certain amount of data to consumers, either from monetization or to an application or to a consumer or to a website, right? And so one type of security is how do you limit the data that you get access to? And so today I'll go back to intelligence or insights. >> (chuckling) Exactly, same. >> It is not out of the realm of possibility that we actually show you who's accessing the data. >> Yeah, I mean we've seen this moving around. That's when the thieves are also moving around, too, and the bad actors. That's a good observation opportunity. And that's kind of where this comes from, right? This whole ability to observe, observability. >> That's right. Observe access. I mean, impersonations is a very popular thing, you can impersonate people, but the whole ability to observe inbound requests, right? I mean, there's always traffic controls on API gateways and things like that, which we'll fully support. But security? I mean, it comes with access. >> I want to get your thoughts on a couple things while you're here. Observability remind me of this cloud 2.0 conversation we've been having on theCUBE. And we're kind of goofing on web 2.0, cloud 2.0. Cloud 1.0, Amazon storage, computes, scale up, everyone's born there, loves it, no problem, no issues, just grow and buy as you go. It's great stuff. At some point when you're an enterprise, it's not that easy. >> Michael: Right. >> So, from cloud 2.0, observability has really taken network management to a whole 'nother level. And it's a data problem. So people going public, SignalFx got acquired, it's a whole industry now. Automation is evolving out of the configuration management area. RPA has got some AI in it. So if you connect the dots here, I can see you guys know where I'm going with this. >> Yep, yep. >> Observability is data. Automation is about making things easier. >> Michael: Yep. >> How do you see those components fitting into the Boomi world? Because architecturally they're now building blocks for either conversational AI or some sort of insights and intelligence. What is, what's the framework, what's the building blocks to make all this data value come to life? How would you talk about that? >> Well, I mean, you're asking, I broke down your whole tirade there into many sections already. >> John: Tirade, good word. That's a great word. >> So let's talk about, in relationship to Boomi, you used the word infrastructure. You used the word network. You threw a lot of things in there. >> John: Tirade, that's for sure. >> And it's like, okay, now I have a soup. So I'll just try to pick pieces out of the soup that I think are relevant. So, again I'll tie back to intelligence a little bit. Boomi, when you use the product, there's an engine that you run. It's a container, right? So you build in the cloud and Boomi, and then you choose where you want to run, right? And part of our efforts around intelligence is to keep that run time environment healthy and maybe scaling, all right? So automation for Boomi will be, let me look at the workloads that you are using to run on Boomi, and predict when I need to scale your environment. Automation. You'll see slowly even more automation capabilities to make it easier for scaling, sizing. So that's one aspect of hopefully answering what you're asking and trying to dissect a little bit about automation. So one will be automation for ourselves. I mean to help basic, just don't think about your moving around time anymore. It's just going to work. It's just going to scale. So we are planning to get to that point where it's fully automated. >> And that's efficiency for you. Creates value. >> Michael: Yeah, correct. >> Deploy resources to other areas. >> Yes, but here's something else to consider is it also saves our support organization the call. That's the most important thing, is the company when you scale, is you have to put in your company cultures. You build the product. What can you do to avoid that service call coming in? So I do want to talk about culture a little bit, even for intelligence. And I like to give a very simple example about how does a product like Boomi change their culture about building in intelligence into the product. And I have a great example. So let's say I'm a developer that's been assigned to put a new feature in Boomi. And it has five configuration parameters that you need to ask the customer to configure before you can use it. Why? Why five? Can't I just tell the customer what they need for three of those? And now there's only two? And it gets people thinking, oh yeah, I guess I could have gone back into their metadata. They already did this once. So why don't I grab that value that they already did? And that's an interesting mindshift when you think about it is instead of five, I challenge you to get down to two. Get it down to two. So, intelligence is not just an outward facing customer feature. It's a development culture. >> You talk about operating systems. It's really a great conversation, because you know when you look at data, and then and what you're talking about, back to the demo and the privacy conversation that you guys are talking about, is if you think about data holistically, as a system, not as a isolated thing, 'cause that's what you're getting at. It's a systems approach. >> Michael: It is. >> The data's somewhere. Why you have another form? You get it, pull it in, automation. But as you did the demo, people were buzzing about mind blowing, whoa! Look what's flying around! What was the purpose behind the demo? What was your main point? What were you trying to get across in that demo that you wanted people to walk away with? Was it that there's threats out there that's an issue or their problems are going to be solved? Or is this cool? What was the main driver behind the demo and the privacy as the first step? >> That's a very good question. And so I'll give you the first thing that comes to mind. The company and data is a living ecosystem. It never stops. It's always in motion. It's harder to manage. It's harder to observe. Boomi is meant to basically build the engine of your living ecosystem. All right? How can you possibly as a human get insight into that ecosystem? It's impossible. But with a product like Boomi, we're giving you insights into the living part of your business. That's the really the theme. Now applying to, you said threats. Good word. Threats to what? In this case, it's threats to being fined by GDPR. It's not necessarily a security breach. But fines are real now. I mean there's monetary loss. And so that's the message. >> What have some of the, you mentioned the word mindshift in your demo this morning, you mentioned it a minute ago, when you've been working with some of these customers helping you evaluate this intelligent insight capability, what has been the mindshift there, in terms of exposing this information? What are some of the things these customers have been really like whoa, really surprised that this intelligent insights can show them, that they just have no idea about with respect to their business? >> Yep, great question. Because I gauge success on the reaction, all right? And in this case the human reaction is actually seeing a map between countries with lines. It's actually that simple, to visually be able to see as a human, the flow of data. Then on top of that, the flow of private data. >> It's like an x-ray. It's like looking at the bloodstream. >> Ah, that's a good analogy. >> Yeah, I mean the blood's flowing, all aspects. >> Right, you can't see your blood. I can't see it, right? I know it's there. >> John: (laughing) Yeah, I think so. It's red. >> I hope so. >> That's like Superman. You can see through the data points to get into what you want because the data's flowing. You guys make that observable. Now what about the data that's not in the Boomi platform? Connectors, how would people, I mean so obviously not, Boomi's not everywhere, you've got 9,000 customers, not 900,000 customers. So there's a lot of other businesses that aren't using Boomi. Can I leverage it with other platforms? How do you think about that? >> Again I'm going to interpret what you're asking. There's many other sources of data of course that people are not using Boomi to access. But if, this may be a bit of a salesman opinion, the more you use Boomi, the more insights you're going to get. So why wouldn't you connect to those things? >> So but connecting means I can just connect to those things. I'll give you a hypothetical, real world example. We have so much data on these CUBE interviews. In fact, after this CUBE interview's done, your words will be transcribed into a transcript, will be linked to the video. We can make clips out of it. It's a big data set. When people will share those clips, we know who's sharing the data. So we are there, a lot of good data. So I would be like hey, I'd like to tap into that Boomi. Why build it? I can just connect. So do I connect all my applications into Boomi or just my data? >> That's actually interesting. Now, of course, I'm the CTO of the business. I'm going to invent stuff on the fly 'cause that's what I do, right? You have metadata about, you have metadata about these files? >> We have APIs, metadata, all kinds of stuff, yeah. >> What we would expect would be this. You would need to, if you're looking for other insights, all right, you're going to now see start combining data. So analytics is really about taking multiple sources of data, putting it in one place, and mining it for new insights because of correlating things together. >> And that validates your point about being that sales rep, because more data, the better data. Look it, we just did a master class here. Master and student. Real time, on the fly. >> This is the second master class you guys have done. At Dell Technologies World, there was a master class on block chain I sat in between you two. >> I got to say, that's a new format we should look at, this real time invention. >> Michael: I love it. >> Well, Michael, thank you so much for joining John and me on theCUBE. It's been really exciting to see, in 11 months, what's transpired for Boomi. We can't wait for next Boomi World. I can't wait to hear how this double i intelligent-- >> Maybe another i? >> Insights. I cubed? I three? All right, all right. Won't quote you on that, but we appreciate it. >> Great to see you. >> Very cool stuff. For John Ferrier, I'm Lisa Martin. You're watching theCUBE from Boomi World '19. Thanks for watching. (upbeat music)

>> Live from Las Vegas, it's theCUBE. Covering Informatica World 2019. Brought to you by Informatica. >> Welcome back, everyone, to theCUBE's live coverage of Informatica World 2019. I'm your host Rebecca Knight, along with my co-host John Furrier. We are joined by Tracey Newell, she is the President Global Field Operations at Informatica. Thank you so much for coming on theCUBE, for coming back on theCUBE. >> Coming back on theCUBE, it's great to be here. >> So the last time you were on, you had just taken over as the president of Global Field Operations. Give our viewers a catch up on exactly what you've been doing over these past two years, and what the journey's been like. >> Yeah, no that's great, thanks so much. As a reminder the last time we were together, I had just joined the company. I was literally two weeks in, and yet I actually did join Informatica three years ago. So I joined on the board of directors, and I was on the board for two years, and the company was doing so extremely well that after a couple of years we all agreed that I would step off the board and join the management team. >> I got to get in on this! >> I know, exactly. I've got to get off the sidelines and get into the game. >> Both sides of the table, literally. >> Exactly. >> So that's really interesting that you were on the board watching this growth and seeing, obviously participating in it, too, as a board member, but then you said, "I want to be here, I want to be doing this." What was it about the opportunity that so excited you that you felt that way? >> Well, it's funny, because when I did join the management team I spent two months on a listening tour, and the first question from all the employees and our partners was, "Why'd you do that?" Usually it goes the other way around, you go from the management team to the board. And the answer was really simple in that my hypothesis in joining the board was that digital transformation is an enterprise board of director's decision, that governments and large organizations are trying to figure this out with the CEO, the board, the management team, because it's critical, and yet it's also really hard. It's complicated, the data is everywhere. And so when you have something that's important and really complicated, you need a thought leader. And so my belief was that Informatica should be that thought leader. And two years in we were doing so phenomenally well with the platform play that we had been driving from an R&D standpoint, it just seemed like such an amazing opportunity to literally get off the sidelines and get into the game. And it's just been fabulous. >> And you have experience, obviously, doing field organizations so you've been there, done that. Also you have some public sector experience, so also being on the board was a time when Informatica went private. And that was a good call because they don't have to deal with the shot clock of the public markets and doing all those mandatory filings, and a lot of energy, management energy goes into being public company. >> That's right. >> At the time where they could get the product development and reposition some of the assets, and the thing that was interesting with you guys, they had customers already. So they didn't have to go out and get new customers to test new theses. >> That's right. >> They had existing customers. >> Oh no, we serve the biggest companies and governments on the planet. Globally, a very large percentage of the global 2000, is kind of our sweet spot. And yet thousands and thousands of customers in the mid market. And so to your point, John, exactly we had built out this platform that included all things on-premise, we're almost synonymous, PowerCenter and ETL, that's kind of been our sweet spot. And MDM data quality, but adding in all of the focus on big data, all the area of IPAAS, all the work that everybody's doing with AWS, with Azure, with Salesforce.com, with Google Cloud, and suddenly we've got this platform play, backed by AI and machine learning, and it's a huge differentiator. >> So you've seen a lot of experience, again you worked in the industry for a long time, you know what the field playbook is, VCs say the enterprise playbook. It's changing, though, you're seeing some shifts and Bruce Chizen was talking to me yesterday about this, there's a shift back to technology advantage and openness. It used to be technology advantage, protect it, that's your competitive advantage, hold it, lock in, but it's changing from that to technology, but open. This is the new equation, what's your take on that? >> Our strategy's been really simple, that we want to be best of breed in everything that we do. And Gartner seems to agree with us. In all five categories we play in we are up and to the right. And yet we want you to get a benefit that if you do decide to buy one product, and then add a second, or a third, or a fourth family, you're going to get the benefit of all that being backed by a platform play, and by AI and machine learning. And so this concept of we'll work with everybody, a customer called us Switzerland of Data, and that's certainly true, we partner with everybody. Where you do see synergies to leverage your entire data platform, you're going to get a real advantage that no one else will have. >> You've got a lot of customers, this is a very intimate conference here at Informatica, this is our fourth year covering it, it's been great to watch the journey, but also the evolution and the tailwinds you guys have. What are some of the customer conversations you're having? You're in all the top meetings here, I know you guys are busy running around, I see you doing meetings and the whole team's here. What are some of the top-level priorities and challenges and opportunities that your customers have? >> We literally have thousands of people at the conference here as you know, and it's just been phenomenal. So I've been in back-to-back meetings, meeting with some of the largest companies in retail that are trying to figure out, "How do I serve my customer base online?" "And yet when they walk into one of my stores, "I want to know that. "My salesperson needs to know exactly what that person's "been shopping for, and looking on the Internet for, "if they're on my site, "or perhaps what they've been tweeting about." So they want to know everything about their customer that there is to know. The banks want to know who their high wealth clients are. And hey want to make sure that if they call in on a checking account and have a bad customer service experience, they want to know that. If it's a hospitality company, they want to understand what's going on every time you check into a hotel. If you looked for a quote and you don't actually follow through, they want to understand that. And so there's this theme of understanding everything that there is to know about a customer. And yet at the same time, a huge requirement for governance, in the California Privacy Act, the CCPA and GDPR are changing everything. I had a large bank once say, and this was years ago, "How can I forget you?" Which is what GDPR says I have the right, you have the right to be forgotten in Europe. How can I forget you if I don't know who you are? Again that's because data's everywhere, and again we're enabling that, so it's a pretty exciting time. It literally is about companies transforming themselves. >> I remember the industry when search engines came out, when the web came out, you had Google and those greenfield opportunities, they were excellent, you type in a keyword and you get results. When people tried to do enterprise search, it was like all these different databases, so you had constraints and you had legacy. Similar today, right? So how has that changed? What's different about it now? And again you had compliance and regulation coming over the top. How does an enterprise unlock those constraints? >> It's funny, you say unlock the power of data is one of our catchphrases. I'm meeting with CIOs around the planet who sound like they're CMOs, because they're using these phrases. They're saying things like, "I need to disrupt myself before someone disrupts me." Or there was one, it was a large oil and energy, it was a CIO at this massive company said, "Data's the new goldmine, and I need a shovel." So they're using these phrases, and to your point, how do you do that? Again, we do think it is about getting the right platform that plays both on-premise and ties in everything the customers are doing in cloud. So we see partnerships as being critical here. But at the same time, one of our fastest growing solutions has been our enterprise data catalog, which is operating at the metadata level. My peer in products Amit Walia likes to say, "How come you can ask the Internet anything at all?" You're so used to it, when your kids ask you a question, you just get online, I don't know, and get the answer. But you can't do that in your own enterprise. And suddenly, because of what we're doing at the metadata level working with all of the different companies around the globe through open APIs, you can now do that inside your enterprise, and that is really unlocking the capabilities for companies to run their businesses. >> You're giving us so much great insight into the kinds of conversations you're having about this deep desire to know the customer and understand his wants and needs at every moment. And yet the technology is so often the easy part, and the hard part of the implementation are the people and the processes. Can you talk a little bit about the stumbling blocks and the challenges that you're seeing with customers as they are embarking on their digital transformations? >> That's a great question. Because one of the things that I caution our clients about is companies get so focused on, I've got to pick the right technology. And we agree with that, again, that's why we focus so much, we've got to be best in breed in every decision. We're not going to lock you into something that doesn't make sense. And yet half of the battle, if you would, in these projects, it's not about the technology, it's a people/process issue. So think about to have a comprehensive view of your data, if you're a large CPG company or a large bank, you might have 10 CIOs, 50 CIOs. We have customers that have 10 ERP systems, we have folks that talk about 50 ERP systems. These are very cross functional, complex projects, and so our focus is on customer success and customer for life. I have more people in customer success than I do in sales by design. Literally thousands of people around the world, this is all that we do, that are focused on business outcomes. And so we really give an extra guarantee, if you would, to our customers to make sure they know that we're in this to make sure that they're successful, and when we start running into challenges, we're going to raise those high so that both organizations can make sure that we get to that promise that everybody is committed to. >> Talk about the ecosystem, because you continue to get success with the catalog, which is looking good. Great that, by the way, we covered that on theCUBE, I remember those conversations like it was yesterday. That really enables a lot, so you're seeing some buzz here around obviously the big clouds, the Google announcement, Amazon, and Microsoft are all here, on-premise, you've got that covered. But the ecosystem partners have a huge economic opportunity, because with the value proposition that you guys are putting forth that's rolling out with a huge customer base, the value-to-economic shift has changed, so that the economics are changing for the better for the customer and the value's increasing. That's kind of an Amazon-like effect if you think about that flywheel. That's attracting a lot of people in to your ecosystem because there's a money making opportunity. >> That's right. >> Talk about that dynamic. >> It's been humbling. I'm really pleased with Informatica World and how things are shaping up because we've had some amazing speakers here as you mentioned, from Amazon, Thomas Crane here from Google Cloud, AWS sending their CMO. It's just been a phenomenal event, yet if you go to the show for literally dozens and dozens and dozens of other providers that are critical to our customers that we want to partner with. When we say partner, we actually do deep R&D together so that there's a true value proposition where the customer gets more and a better-together solution when they choose Informatica and their critical partners. There's another category of partners that I think you're hinting at which is the large GSIs. >> The global system integrators, yeah. >> The global systems integrators. >> Accenture, Deloitte. >> Accenture, Deloitte, Cognizant have been phenomenal partners to us. And so again, when you talk about this being a board level discussion, which literally I've met with so many CIOs who say, "I just presented to my board last week, "let me tell you about this journey that we're on." Of course the large global system integrators are in the middle of that and we are very clear, we don't want to compete with those folks that are so good at both the vision and also really good in arms and legs and execution to help drive massive workflow change for our clients. So we work together brilliantly with those folks. >> And these are meaty projects, too, so it's not like they're used to, back in the old days when these projects were massive, rolling out these big ERP systems, the CRMs, back when people were instrumenting their operation of businesses. Similar now with data, these are massive, lucrative, profitable opportunities. >> These are really strategic for the client, the global system integrator, and for us for all of the same reasons. This drives massive change in a good way for our clients to keep ahead of whoever's nipping at their heels, but certainly it's a tremendous services opportunity for the large integrators, there's no question. >> Being humble. >> One of the things that's really coming through here is Informatica's commitment to solving the skills gap, especially with the Next 25 program, and this is something your company's being really thoughtful about. I'm interested from your perspective, particularly as somebody who's been in the technology industry and was on the board for a while, how do you see the skills gap and what the technology industry is doing as a whole to combat it? And then your advice from your vantage point in terms of what you think are the next things that kids should be studying in schools? >> This reminds me, and Furrier, you're talking about the old days, so I'm going to date myself, it reminds me a lot of when the Internet first started to occur. This is a very similar type change. People have been, companies have been trying to make these changes and they're starting to realize that it does start, they've got to have a good grasp of the data in order to run all of these strategic initiatives that they've got. And so it's tremendous opportunity, to your point, for young people. So how do we think about that? Certainly we do our fair share of hiring interns trying to get them early in life, when they're sophomores, juniors coming into senior year and then hiring those folks. So we see an opportunity for our own company to bring in those young people, if you would. And then the GSIs, the global systems integrators, we partner quite a bit with them, because we see them as massive scalers, they have-- >> How about people specialize in majors, any areas of interest that someone might want to specialize in to be a great contributor in the data world? Obviously stats and math are clear on machine learning and that side. But there's affects, there's societal, business outcome challenges that have not yet been figured out. What areas do you see that someone can go after, have a career around? >> So it literally is a business and a technical problem that we're solving, and so there's going to be career opportunities for everyone that's in school. Whether it be on the business side, whether it's business management, marketing, sales, because again think about when you talk about change of management, it is a CMO trying to rethink how do they reach their clients. It is a sales leader thinking, "How do I get better analytics as to what's working "and what's not working?" And then of course it crosses over into computer science and engineering, as well, where you're actually developing these products, and developing these AI applications that are just beginning to take off. But it's in the early days, so for young folks coming out of schools this is a tremendous opportunity. >> Well, next you'll have to find what's up with the field, and your customers, and then next year, next event. >> Yeah, I can't wait, it's great. I've really enjoyed spending time with you all, and we look forward to seeing you soon. >> Indeed, well thank you so much for coming on theCUBE, Tracey. >> Okay, thank you. >> Thank you. I'm Rebecca Knight, for John Furrier, you've been watching theCUBE's live coverage of Informatica World, stay tuned. (upbeat music)

>> From our studios in the heart of Silicon Valley, Palo Alto, California. This is a CUBE Conversation. >> Hi everyone, welcome to this CUBE Conversation here in Palo Alto, I'm John Furrier. Host of theCUBE here in theCUBE studios. I'm joined with Ronen Schwartz. Senior Vice President and General Manager of Data Integration and Cloud Integration at Informatica, CUBE alumni, been on multiple times, here to do a preview round. Informatica World coming up as well as just catch up. Ronen, great to see you. >> Really happy to see you, you guys have a beautiful place here in Palo Alto. >> I know you live right around the corner so I'm expecting to see you come on multiple times and come in and share your commentary, but I want to get your thoughts, it's been a couple of months since we last chatted, interesting turn of events. If you go back just, you know, September of last year, and then you had Amazon Reinvent. They announced Outpost, multi-cloud starts hitting the scene, first it was hybrid. First it was all public cloud. But now the realization from customers is that this is now a fully blown up cloud world. It's cloud operations, it's just public cloud for unlimited cloud natives activity, on premise for existing workloads, and a complete re-architecture of the enterprise. >> Yes, and I think from Reinvent to Google Next just a week before, I agree with you. It's a world of hybrid and a world of multi-cloud. I think a lot of exciting announcements and a lot of changes, I think from my perspective what I see is that the Informatica customers are truly adopting cloud and hybrid and as data is growing, as data is changing the cloud is the place that they actually address this opportunity in the best way. >> So I know we've talked in the past. Your title is Data Integration, Cloud Integration. Obviously integration is the key point. You're starting to see APIs going to a whole other level, with Google they had acquired Apogee, which is an API marketplace, but with microservices and service meshes and Kubernetes momentum you're starting to see the advent of more programmability. This is a big trend, how is that impacting your world? Because at the end of the day you need the data. >> Yes, it actually means that you can do more things with the data in an easier way and also it means that you can actually share it with more users within the enterprise. I think that especially the whole ability to use containers, and Kubernetes is a great example of how you can do it, it's actually giving you unparalleled scale, as well as simplicity from the obstruction perspective. And it allows more and more developers to build more value from the data that they have. So data is actually in the core. Data is the foundation, and really a lot of this new technology allows you to build up from the data more valuable capabilities. I'm really happy that you're mentioning Apogee because one of the things that Google and Informatica notice together is the need for API to actually leverage data in a better way, and we strike a very strategic partnership that has gone into the market in the last few months allowing every user of Informatica Ipaas to basically publish APIs in a native experience from the Informatica Ipass directly to Apogee and vice versa, everything that you build in Informatica Cloud is basically automatically an API inside Apogee, so users get more value from data faster. >> So can you give an example, 'cause I think this is one of the things we saw at Google as a tell sign or the canary in the cole mine whatever trend parameter is that end to end CICD pipe lining, seamless execution in any environment seems to be the trend. What you're kind of getting at is this kind of cross integration, can you give an example of that Informatica Cloud to Apogee example of benefit to the customer or use case and why that's important. >> Yes, definitely, so if I'm a retailer or a manufacturer, I'm actually looking into automate processes. There is nothing better than deleting the Ipaas from Informatica to actually automate process anything from order to cash or inventory validation or even next best recommendation coming from some AI in the backend. Once you have created this process exposing this process as an API is actually allowing multiple other services. Multiple other capabilities to very easily leverage that, right, so this is basically what we're doing, so what an individual in the retailer is doing is they're actually defining this process of order to cash, and then they're publishing it as an API in one click, at that stage anybody anywhere can very very easily consume that API and basically use this process again and again. >> And that means what? Faster execution of application development? >> It means faster execution of application development. It also means consistency and basically scale so now you don't need to redevelop that. It's available as an API, you can reuse it again and again, so you do it in a consistent way, when you need to update you need to change, you need to modernize this process you modernize it once and use it again and again. >> Sorry to drill down on kind of the unique use case here, but this points to the integration challenges out there and the opportunities. Mentioned Google Next, Google Cloud. You've got a relationship with Amazon. This is part of your strategy for ecosystem. This is critical, integration is becoming Amit Walia was saying that you can compose. Have that foundation for the data and you compose your applications, but if you got to have a lot of composition, you need to have integration points, that's going to be either APIs or some sort of glue layer. This is huge, this is like the entire thesis of cloud architecture. >> Right, and the reality that our customers are facing is basically irrelative from multi-cloud, they will use a best of breed cloud for CRM, a best of breed cloud for ERP as well as a best of breed cloud for their data warehouse, their databases as well as their analytics, AI, et cetera. In that world, the only thing that is kind of common across this cloud is the data. And if you're actually able to allow the data to reside in the best place but you keep the metadata managed centrally by software like the one at Informatica is giving you are getting the best of breed of all of these offerings without actually paying a fine for that. >> So you guys are in a lot of magic quadrants out there in terms of categories of leadership and focus on data from day one. As you talk about your ecosystem, can you explain what that means because you're also an ecosystem partner of cloud players but you also have your own ecosystem. Talk about the ecosystem, how is it laid out? What's the update, what are some of the momentum points, can you share just an overview of how that's all happening? >> Yes, definitely, so when we're looking into our partnership with Microsoft Azure, with AWS, with JCP, we're not talking about just Informatica supporting the technologies that they build, we're talking about Informatica supporting the technologies that they're building as well as their ecosystem of partners. We're talking about an end-to-end solution that supports the entire ecosystem. What that actually translates to is Informatica building services that are giving best of breed experience for users within this cloud environment and really giving you the full power of data management integration, data quality. Master data management, data security. Data catalog across all of this cloud. In a way you're right, we can look at it in the same way as like we have an ecosystem and in that ecosystem we're seeing a lot of strategic partners that are very very large, definitely all of these cloud scales are key partners for us and for our customers, but we're also seeing a huge amount of smaller, innovative vendors that are joining this ecosystem, and Informatica World in May 20th is a great place to come and actually see these vendors. We're actually showing for the first time our AI and cloud ecosystem in one place and these vendors are coming and they're showing how are they leveraging Informatica technology to basically bring new value in AI, in machine learning, in analytics to their customers. If you ask me, like, what is Informatica doing to help them, we're basically making the data available in the best way for their offering, and that kind of allowed them to focus on their innovation rather than how do they work in the different places. >> Rowen, you got ahead of me on the Informatica World question, but you just brought it out, you're doing an innovation. Let's talk about Informatica World. Because again, this data, there's a lot of sessions, so you do the normal thing. We've covered multiple years there. Integration's the key point, what are, why should someone come to Informatica World if they're a customer or a prospect? Now, you mentioned the AI zone. What's the core theme that you're going to be seeing there from your group and from the company? >> Informatica World this year is an amazing place for people to come and see the latest that happens within the cloud and hybrid journey, a great place to actually see next generation analytics and all the innovation there, it is a great place to see customer 360 and master data management and how can that change your organization as well as an amazing place to see data security and data privacy and a lot of other innovations around data. But I would actually say that it's great to see everything that Informatica can share with you. It is a better place to see what our customers and our partners are sharing. And especially from a partnership perspective Informatica World 2019, you're actually going to see leaders from Google, you're going to see leaders from Microsoft, you're going to see leaders from AWS, the people that are leading the best data warehouses in the world the best analytics in the world as well as innovators like DataRobot and Databricks that are changing the world and are actually advancing technology very very fast. >> And the AI zone, there's a cloud and AI zone. I've seen them, I know it's here from the prep. What does that mean, what's someone, AI's going to be hot, I think that's a big theme. Getting clarity around, as Amit kind of shared with us on a previous interview. AI's hot because automation kind of left the blocking and tackling. But the value of creation is going to come from using the data, where's the, and it's not integrated, you can't get the data in. If it's not integrated, you can't leverage machine learning, so having access to data makes machine learning get great. The machine learning gets great, AI is great. So tell us what's going on with it. Give a little sneak preview. >> It's actually amazing what we can do leveraging the iron machine learning today, right? I wake up in the morning and I say Alexa, good morning, and I actually get back what's the weather and what's happening. I'm getting into my car, Google is telling me how fast will I get to the office or the first meeting. I left to come here and I knew exactly what's the best route to take. A lot of that is actually leveraging AI and machine learning, I think it's not a secret that the better your data is the better the machine can learn from the data. And if your data is not good, then learning can actually be really really bad. You know, sometimes I can use, like with my kids. If their learning books are bad, there's no way that they can actually get to the right answer. The same as data, data is so critical. What we're seeing is basically data engineers, data operation becoming a super strategic function to make AI and machine learning even possible. Your ability to collect enough data to make sure that the data is ready and clean for AI and machine learning is critical. And then once the AI and machine learning eventually contributed the automation, the decision making, the recommendation, you have to put it back in to the data pipes so that you are actually able to leverage them to do the right thing. >> You know, you, I think you nailed this one. We've talked about this before but I think more important than ever, data cleansing or data cleaning was always an afterthought in the old data warehouse world where well, we're not getting the answers we wanted so you kind of have to fail to figure out that the data sucks so you had to get the data to be better, now it's much more acute in the sense that people realize that you need quality data so there's now new capabilities to make sure there's a process for doing that on the front end, not on the back end. Talk about that dynamic, because this is something that is critical in the architecture, and how you think about data pipe-lining, data management, the things that you guys do, this is an important trend. Take a minute to explain that. >> Yes, I totally agree with you and I think that the rise of the importance of data quality, and it actually is coming also as part of the pattern of data governance and we want to make sure that the processes exist to make sure that the data that we make available for our AI research, for analytics, for our executives and data workers that this data is really the right data is critical. To actually support that, what we are seeing is people defining data governance process. What are the steps that the data needs to go before it is actually available for the next step? And what is nice today is that this is not people that the data needs to go through. These are processes, automation, that can actually drive data quality, it goes from things that are very very basic. Let's remove duplicate data, but also into the fact that you actually identify anomalies in the data and you ask the right questions so that that data doesn't go in. >> Is this the kind of topics that people will hear at Informatica World? >> Definitely, they will hear about how they can actually help the organization get the data right so that machine learning automation, and hyper growth is actually possible. >> You're excited about this market, aren't you? >> Super excited, I mean I think each and every one of us, we're going to see a lot of innovation coming out and I consider myself lucky that data is actually in the center of all of this innovation and that we're actually able to help the customers and our partners be successful with that. >> Yeah, you and I were talking before you came on camera, I wish I was 23 again right now, this is a great time to be in tech, everything's coming together. You got unlimited compute, machine learning's rocking and rolling, everyone's all kinds of diverse areas to play on, it's kind of intoxicating to be in this environment, isn't it? >> I totally agree, and I will add one additional thing to the reasons, agility. Like the fact that it all is available at your fingertip, and you can actually achieve so much with very little patience is really really amazing. >> This compose ability really as the new developer modernization renaissance. It's happening. >> Yes, yes, and as we usually say it all starts from the data. >> Okay, Ronen Schwartz, we're talking Informatica World but getting an update on what's going on because data integration, cloud integration, this is the number one activity people are spending their time on. You get it right, there's huge benefits. Ronen, thanks for coming in and sharing your insights, appreciate it. >> Hey, my pleasure. >> Okay, this is theCUBE, here for CUBE Conversation here in Palo Alto, California at theCUBE headquarters, I'm John Furrier Thanks for watching. (jazz music)

(upbeat electronic music) >> Live from Las Vegas, it's theCUBE. Covering Boomi World 2018, brought to you by Dell Boomi. >> Welcome back to theCUBE, we've been live all day at Boomi World 2018 in Las Vegas. I am Lisa Martin with John Furrier. John, this is the second annual Boomi World, the first time theCUBE is here. We've had a great day. Started things off with Michael Dell, who I really found it very telling that Boomi, as a business unit of Dell Technologies, that the CEO of Dell Technologies comes here to kick things off this morning. What is your impression after talking with Michael and some of the folks from Boomi, what is your impression of Boomi? >> Well I think Michael Dell has talked about, he always talks the same talking points, 'cause we've done them so many times, he's got the traditional Dell business, Dell Technologies business foundation, you've got EMC merger of equals, but he's quietly been incubating some key flagship directions. One is VMware, which hasn't been incubated, it is quite a market leader in virtualization, the relationship with Amazon, so VMware is kind of its own, the main flagship. Pivotal has been really core. So he talks about VMware, Pivotal, and the portfolio of Dell Technologies. So I think for me the big takeaway from this event is that Dell Boomi is the third flagship of the kind of armada of Dell's future. So having Michael be here, he could be at VMware in Europe, in Barcelona, he's here. He sees Boomi as a core linchpin to connect into the growth of Pivotal, which has been growing off VMware, and now you've got Boomi coming up the rear, saying, hey, we could actually tie stuff together. And they solve a problem that the average productivity developer or IT person, who doesn't want to write a lot of code, they call it low code, to deliver kind of the assembly and integration of the next generation applications. So net new applications while improving existing. And this is under a category called Integrated Platform as a Service at an enterprise level. So I think Boomi is becoming a strategic part of the Dell playbook. I think that's a big surprise to me because Boomi is known, but their growth has been phenomenal, 80% numbers he said. So this has been kind of a coming out party for Boomi in the sense that this is real. >> I'm curious, though, why do you think, so the Dell Technologies companies Pivotal, RSA, VMware you mentioned, Dell EMC, Virtustream. Why is it that you think that Dell Boomi is a business unit of Dell Technologies and not one of those, part of the seven-eight standalone companies. >> Well they bought them eight years ago and it's evolving, so it's organically grown and it's on a relevant weight. The relevant weight is cloud native, cloud scale with data as a value proposition that's the scale horizontally. So from different database you want to pull that data into realtime. That's a key integration point whether it's APIs for stateless applications or having statuses with data. This is the battleground you're seeing with Kubernetes, you're seeing it with network services at the micro services level, so they solve a big problem. The rest of Dell is just a massively huge portfolio of products that solve the enterprise other problems. So why have 26 vendors, he said, when you can go to Dell and get all the basic things you need but have an enabler for the future. And that is really about having that bridge to the future and that's what Michael wants and that's what Dell's doing is just saying, look it, VMware runs your stuff and a lot of stuff around it Pivotal's going to integrate you in with cloud, cloud-native, cloud-foundry, and do all these things, and Boomi's going to help tie it all together. That's a nice value proposition, that gives customers comfort in my opinion. I think that's a good story and I think Boomi could be a big part of that piece of the puzzle. >> We heard a lot about trust today, we hear a lot about trust, John, at every event, talking about data needs to be trusted, but Dell Technologies, and Dell Boomi as well, as a trusted advisor, you mentioned the growth numbers, I think 80% last quarter that Michael Dell shared this morning. Chris McNabb, the Boomi CEO, also talked about that. But they've also grown this, it's doubled in its second year. It's gotten too big for San Francisco. They have 7,500 plus customers and counting globally. They're adding five new customers a day. One of the things that I heard pervasively throughout the day is how symbiotic Dell Boomi is with their customers, with their employees, and with their partner ecosystem. So they now come and say, with the iPaaS market, fifth year in a row as a leader in the partner MQ, but now they've come out and said today, we want to redefine the I in iPaaS. iPaaS is a well established market, they're now saying, we're going to use intelligence, and I think it was north of almost 30 terabytes of anonymous metadata, and as Michael has said a number of times, companies need to be using their data as a way to identify their competitive advantage, and they're doing that. >> That's a core value proposition and I think Boomi is undervalued in my opinion the way the market sees them because no one has yet valued how important the insights are out of it. Because people are just now starting to operationalize this notion of, well, I can get insights out of a legacy, value critical mission system in a cloud native environment. So these new value propositions that are emerging and Boomi, it's easy to say, hey, on the face of the numbers, okay, the purchase price per customer is low, but the value's high, the value of the data's high, so I think the only thing Boomi's got working against it is its own success could be a problem on the ticket. So there's a lot more revenue around Dell than what Boomi's doing on a straight product basis. They've got a great product market fit, check the box there, that's a great thing. Question is, if I'm a competitor, I could say, oh, I'm going to put them in a box, but they do more. There's so much going on around Boomi that I think Dell's smart in saying, okay, the purchase price that they're going to get in bookings revenue is x, but the value's high enough, that's why the growth is there on the sales side, but the actual contribution to overall Dell is much higher. So I think Boomi could be a very strategic piece of the puzzle for Dell. >> It really sounded like that today from Michael Dell on down. And they came out today and said boldly, Dell Boomi is your transformation partner really carrying on the theme of Dell Technologies World which theCUBE was at just about six months ago which was all about digital transformation, IT transformation, security transformation, workforce transformation. That theme at Dell Technologies World of the platform of the possible extended here with Boomi, unlimited possibilities. >> Yeah, I think people look at the cloud and then they try to figure it out and I think it's pretty clear that the SaaS business model shows the scale. But there also used to be an analogy in business where it's kind of like McDonald's or fast food and people always move from station to station. In IT people are now wearing multiple hats so you're going to see that the trend move towards multiple hats, people wearing multiple hats and managing multiple things. Boomi allows that to happen because when they do integration they don't have to go back and fix it. So you can ship it and move on to the next thing which could be another task. So I think the people management side of the culture of DevOps is a big thing. >> And Michael talked about that, the people culture, the change management. That's really challenging. And we asked him to share, well, Dell Technologies now, 34 years after he started his business in his dorm room with $1,000, probably couldn't have imagined it is becoming what it is. But this is an organization that has transformed itself dramatically, and had to transform its people and culture to, I would argue, be the fuel for that digital IT security transformation. >> It's the fuel for the rocket ship, and that's what Dell was talking about. It's very interesting to see how they play it out but I think Boomi's got some upside big time for Dell and I think that the customer traction shows that the data value in integrating fast and having that low code automation is a winning formula. It's in line with where VMware's going, it's in line with what Pivotal's doing, and it's in line with this digital transformation trend. I think that's what they're talking about. >> Well I enjoyed hosting with you today, John. I think it was a really interesting event and I love unpacking things like integration. It's so much more than that, and they did a great job of articulating that. >> We talked about Kubernetes too, when Kubernetes came out on theCUBE too. Always good to get those Kubernetes soundbites. >> We talked about blockchain as well, and how Boomi and partners are enabling customers to really take advantage of a blockchain. They're announcing some support with that. IoT, as Michael said, speaking of boom in Boomi, there's going to be a boom at the edge. Again, that was a theme from Dell Technologies World that came here today, and some of the customers, the last customer we just had on-- >> Yeah, I mean, the thing that I'd say too is Boomi's got this cool vibe going on, but remember Boomi was born in the cloud that means they're cloud native. All their stuff is cloud, so they understand the culture that they're selling into. And I think that gives Dell a cool factor here and very cool and relevant with the trend lines. So I think they've got a good opportunity. Great to host with you, great time. >> Excellent. Well, thanks John. >> Thanks. >> We want to thank you for watching theCUBE. Lisa Martin for John Furrier from Boomi World 18. Thanks for watching, we'll catch you next time. (upbeat music)

>> Live from Las Vegas. It's theCUBE, covering Boomi World 2018. Brought to you by Dell Boomi. >> Welcome back to theCUBE, we are continuing our coverage of Boomi World 2018. I'm Lisa Martin in Las Vegas with John Furrier and we're welcoming to theCUBE, Pragnya Paramita, Senior Product Marketing Manager at Dell Boomi. Pragnya, welcome. >> Hi, nice to meet you guys. >> So second annual Dell Boomi World, we had Mandy Dhaliwal, your CMO, on shortly, ago who said doubled from last year. Some of the really cool stats that caught my ears and eyes this morning during the general session are 7500 plus customers globally that Dell Boomi has now. You're adding five new customers everyday. There are about close to 70 different customers speaking at this event. The customers are coming together to share how Dell Boomi is helping them on this nebulous, daunting transformation journey. Talk to us about some of the news coming out in the last couple of days, and as a product marketing manager, what are some of the things that excite you? >> I think, after the last few weeks, what we've been able to put out in the market with our partnership with the Blockchain consortium has been really exciting. To be working for a company that's always been at the cutting edge and looking to do things at the cutting edge, just as an employee, that's like a really cool thing to be a part of. But what I'm really excited about is tomorrow's Keynote. And I know we've probably been teasing everybody through the day about tomorrow's Keynote but I'm really excited to unveil what we are going to be showing you guys tomorrow. >> So one of the things that's exciting about you guys is that the product market fit is clear with customer traction. As you guys look at, say, Blockchain smart contracts, this is about business, so you're messaging around, connecting businesses with developer integration as a starting point with low code is a productivity question, it's a foundational question. As you have this platform, what's some of the product positionings that you guys are looking to expand on? Obviously we heard Michael Dell today say, data tsunami, scaling AI. These are questions that people want to have answers. Is that how you guys see the positioning when you go to market? >> So, at first positioning I think the true value that we do provide our customers is fast time to market, so I think speed and the ability to do things efficiently and being the first to market is what our customers really value and we want to be able to power that so that's goal to our positioning in the market. The other one is flexibility. I think with each vendor and consolidation happening around in the market, people are marking their turfs and territory and in this day and event, at Boomi, we really want to be an open ecosystem. You bring your data, you bring your application, you bring your cloud. You could have a hybrid environment as you operate your business, Boomi will connect to everything, and I think that is a cool part of our messaging that we want to make sure customers understand, we want to make sure the market understand that we'll be true to that. >> As you got the cool technology with the Cloud-Native, you guys are born in the cloud, still operating at cloud scale, as you sit at the product marketing meetings and think about the customers, you're solving a lot of problems, there's a lot of check boxes on the solving customer problems but you also want a position for the future. So I got to ask you, when you look at your customer base holistically, what's the core problem that you guys solve for your customers? >> I think unlocking the value of the data, customer data. So it resides in siloed application, it resides in parts of business that some... So if you're not the American business, your ability to interact with your Australian counterparts is not only restricted by time zones but it's also restricted by laws and data protection and all of those things which governments are waking up to. And to be able to do that securely, to be able to do that at a scale, is something that we want to be able to deliver to our customers. And I think our ability to be a Cloud-Native platform allows us that flexibility to do it in a way that customers feel comfortable and again, are able to get some value back from their data. >> So about six months ago, the Gartner Magic Quadrant for IPAAS came out and once again I think, John, we've heard today for the fifth year in a row Dell Boomi is a strong leader. I'm curious, six months later, now, today, you guys said we are re-imagining the I in iPaaS. From a market that's well established, highly competitive, that now customers, it's not just about integrating applications, it's integrating data from new sources, from existing sources, to be able to identify new revenue streams, new products, new services. What is it about this re-imagining the I to be intelligence, that, in your opinion, is going to further really kind of elevate Dell Boomi's competitive differentiation. >> So, the true differentiation is that in the market, we were the first who were a Native-Cloud application. So the value of that single instance multi-tenant cloud application is what we are really leveraging as part of our intelligence in the platform. So many of our competitors and other vendors in the market have probably caught on to this whole cloud thing in the last couple of years. But at the end of the day, we have 10 years of a lead with them, that would be hard for them to match. And again, it is value from what customers have been doing on our platform, so our ability to look at that enormous amount of data anonymously and then provide value back to them has been really critical to our success in how our customers have found value and I guess with the ability for us to leverage AI and machine learning capabilities within the platform, we want to be able to make it much more easier for our customers. >> So in terms of business initiatives, some of the key ones that Dell Boomi targets are e-commerce, order to cash, Customer 360, as well as onboarding. Talk to us, I really like that Chris McNabb, in the general session this morning kind of opened the kimono and said, "Hey, we found, "through the voice of our own employees, "we weren't so great in this particular area." Talk to us about the Dell Boomi employee onboarding solution and how it was really born based on your own internal needs for improvement. >> So I joined a year ago, I was employee number 300 something, and this year we are at employee number 700 plus, maybe going onto 800 at the last we heard, so you can imagine the scale that the company is growing at and for us and I guess what Chris articulated this morning, employee onboarding was becoming a choke point, not only in making sure employees are productive faster, but are also enjoying this new company that they've decided to, you know, become a part of. We, at Boomi, as Boomers ourselves, do really value our culture a lot, but that didn't quite reflect in the employee onboarding experience that we were providing, and I think that was a big stimulus, Chris shared the numbers of our NPS scores that he saw, for him to say that hey, we are running at a really fast pace but this is critical issue. >> Pretty big negative number a year ago or six months ago on that end. >> And as a CEO, he decided this is a priority, but then as we went through this exercise, what we were able to find out that it's not only a challenge that we are facing, but our customers, both large and small, continue facing that issue. So the approach that we took was while we were solving our own employee onboarding challenge, we were able to productize that entire solution and create an accelerator. And the value of that accelerator, it's a common problem, we know it is a problem that happens at scale, and at a certain scale it becomes really detrimental to your business. But then your business is really unique so we cannot give you a one-size-fit-all solution that you can go and turn on on day one and it'll work. What we are giving you here is a framework, we leveraged it, we had great results, we are more than happy to share that back, that something that took like 92 days for an employee to get access to 27 applications now takes minutes, like literally five minutes. What took about 19 admins across the organizations who were doing this as a second job almost, because we're a small company, the guy who bought the license for this new software that he wanted his team to use, became the admin for that product, and now his team is, from seven people, it's now 52 people. But he's still the admin of that product, along with managing that solution, so all of that effort was consolidated from 19 people to like two people, that's real gain there in just employee productivity that we have been able to standardize. And what we are doing now is taking the solution and the accelerator package to our customers and we are having some great conversation with many of our customers who had initially looked at Boomi and said like, hey, you guys provide us an integration solution to our problem. But at the end of the day, onboarding, as within an organization, is a cross-functional issue. It ties together workflows from your finance team, from your benefits team, from your recruiting team who is getting the candidate to your HR, who is going to make sure-- >> Facilities where you sit, all kinds of data. >> All kinds of things, and making sure you have your laptop and your badges and all of those things on day one. So a lot of people in the organizations are like these silent heroes who are making sure that every employee who shows up on day one has a good experience but there's only so far that a manual process can go, and being able to automate that process, and a good reason why we are now able to do this is because of Boomi Flow. The ManyWho acquisition that we did last year, it has opened doors for us to have conversations with our customers where we are like, you have cross-functional processes, you need to be able to automate them as much as possible and let your employees actually do more value added work instead of being, you know, sending emails and then collating emails with data from every place, putting it in a spreadsheet, adding that to your SAP, or your workday system and-- >> So that sounds like that's the consequence of two problems, I hear this right, one, data silos and manual or purpose-built applications that are dependent upon data silos. No data silos allows for automation, and then everything kind of goes away and solves the problem. Is that right? >> Yeah, absolutely. So cross-functional workflows are something that when people try to solve, they end up causing the integration problem at the end of the day. So you try to solve for one thing but then integration is always at the core of it. With Boomi, because we are coming integration up, we sort of automatically solve for that, but then with Boomi Flow, what we are able to do is we are able to abstract that away from users who don't really care about how you're going to get two applications to work together, so if you are in the HR team, you just want to make sure that here is the value proposition for the organization that I hired these employees for, they get to see that. I don't really care if your 15 applications need to work together at the backend. (cross talking) >> American Airlines example's a good one, they've hundreds of integrations, some will ship it and forget it. They won't have to remember it, hey, number 52, what was that again? Solved the problem but broke this over there. That's kind of the problem that is the core issue, right? >> It's a core issue. So we have a session later today with American Airlines, and MOD Pizza. So, both of them are a study in contrast. MOD Pizza is an organization that was founded a couple of years ago, around the same time that American Airlines and US Airways merges was happening. So the session is very interesting because you get a perspective from a company that started in 2011 or 2013, and took an approach of being a Cloud-Native infrastructure. So they make choices where all of their applications are in the Cloud but then when they grew at a certain scale, employee onboarding became an issue, they came to Boomi and how they are solving it, and on the flip side of it, you have a perspective from a large organization that around the same time relogged that their employee onboarding issues and then looked at Boomi and then said that, hey, how can we solve this? And as they said in the Keynote, good is not good enough, you need to have a great experience. >> Well you've also raised your NPS score 168 points, and now you've got an opportunity to reach customers in a different way, like you said to be able to integrate these functions and have to work together, that abstraction layer is critical for the business being more efficient and more productive. Finding new revenue streams faster, being more competitive, and really unlocking the value of that data so it can be used across multiple business units within organizations at the same time. Pragnya, thanks so much for stopping by and joining John and me on theCUBE today. >> Yeah, it was great talking to you guys. >> We appreciate it and have a great time at-- >> Hope you have a great Boomi World. >> Absolutely, off to a great start. Thanks so much for your time. For John Furrier, I'm Lisa Martin, you're watching theCUBE, Live from Boomi World 18 in Vegas, stick around, John and I will be back with our next guest. (light music)

>> Live from Las Vegas, it's theCUBE. Covering Boomi World 2018. Brought to you by Dell Boomi. >> Welcome back to theCUBE's continuing coverage of the 2nd Annual Boomi World 2018 from Las Vegas. I am Lisa Martin with John Ferrier, and we're welcoming to theCUBE, for the first time, the chief operating officer and chief customer officer, Chris Port. Chris, thanks so much for joining us on the program today. >> Thank you for having me. >> So, 2nd Annual Boomi World. Over 1,000 people here. The keynote was streaming, in what, 17 countries this morning. Big impact, 7,500 customers. You also said, Dell Boomi, we're adding five new customers every day. >> Yes. >> You have this opportunity to get your customers together with Crass, and Analysts, and your Partner Ecosystem. Talk to us about some of the strong messages that have come out from Dell Boomi in the last couple of days about your technology partner program, how you're re-defining iPaaS. >> Yes. Yeah, I think it's about the leadership that we've talked about effectively since there was a Gartner Magic Quadrant from our space, we've been in the leader of quadrants. So, incredibly excited about that, but the goal is how do we become a leader for the next 10, 20, 30 years. And, I think this week is not just the start, it's a continuation of that. So, we talked about the new technology partner program, which, to me, is just the continued evolution. We've always had a partner program, but it's just continuing on that journey and really starting to explore ways for partners to now start to build solutions on top of Boomi that they can then take to market that we support. Obviously, leveraging Boomi's technology, but then, building on our platform. I think we're talking about exploring and expanding our GSI and SI capabilities. So that force multiplier that Chris talked about. We have a great group of Boomi team members, but we know that those SIs and GSIs provide that force multiplier. We've also launched new services around enterprise innovation and enterprise architecture. We listen, this is 100% customer-driven. Customers talk to us. They love professional services from us, but they love to see it in a much more predictable, provided deliverables, in a subscription model, so we launched that this week. And then Steve Wood's going to talk tomorrow about a multitude of things from a product perspective that we feel are really kind of, this is where the iPaaS 2.0, as Chris called it, tomorrow is the start of that, and I think you guys will see that journey. >> There's a lot of challenges in this marketplace with cloud-native and on-premise legacy applications. They have great value as they get modernized in cloud. You guys are born in the cloud. Everything that Boomi has done since the start-up days has been cloud-native. So, that's an interesting perspective. That's going to be helpful as you guys take the customers to the next level. But, this connected business market that's developing is complicated. You got smart contracts around the corner with Blockchain. You've got integrating multiple developer environments, multiple toolchains. Just on and on. A lot of complexity. And, what team leaders want is less complexity. So, they don't want more complexity to solve more complexity. So, this is the struggle. How do you guys talk to customers who come to you and say, look, I've got complexity and I want to simplify but I still want to scale. I want to do these things. I want to be prepared for Blockchain. I want to be prepared for the next level of business. >> Yeah, I mean, I would say a couple things. I think, first off, we're agnostic in terms of on-prem versus cloud from an application perspective. Our predominant use case is a SaaS-based application that's in the cloud and an on-premise application. So, I think 7,500 customers, the 10 billion minutes of experience we talked about, that experience spans both on-prem and cloud. So, I think we have a really unique opportunity to see and live in both universes. The architecture is 100% cloud-native which gives us fundamental advantages. Now, in terms of what you talk about, in terms of the simplification. That's what everybody's striving for. They want to reduce the tools sets. And, again, I think that's the power of the platform. Steve Wood talks about it, drop the mic, we're the best at integration, low-code, high productivity. It's where we were born. It's what we built the back of the company on, but that said, over the last five to seven years, we've built a true platform around that core capability to now encompass master data management with Hub, API with MIDI, EDI with Exchange, and ultimately Flow that kind of brings everything together from that workflow low-code app piece. >> So, foundationally... Congratulations by the way. It's a good job. But, that's just the foundation. >> Absolutely. >> You guys talk about the keynote today. Michael Dell kind of hit it hard with the scale and the data tsunami with AI. >> Yes. >> As IoT is right around the corner or here with edge, whole new processes are developing. That not necessarily are predictable. Sometimes architecture might change over night. This is kind of the next Boomi way that we're seeing you guys set up for. How are you guys building that out? What are the key business model components? You mentioned the community that you have now, an ecosystem that's best developed and growing. How are you guys looking at configuring the business to build on the foundation and not skip a beat? >> Yeah, I mean, I think when you start talking about kind of the tsunami of data, as you put it, or that Michael put it this morning. When you think about Boomi, and how lightweight the out-of-market texture is, it creates this really incredibly fast way to create that data fabric. The data fabric, ultimately, is what will drive AI. It's being able to aggregate and see that, and then ultimately, put it in the AI engines. As we call it the fuel, or Michael or someone, coined it this morning the fuel. And, I think our architecture, and again, this is where being cloud-native, that you talked about, this is our profound differentiation. This is why we have the advantage in that space. It's up to us to take advantage of it, but I think, first off, it's that lightweight architecture that will allow us to really work within customers to create that data fabric that then drives AI, drives it into their organizations. We just heard from the panel that Mandy was on, and Blue/Green, and the chief security officer, chief privacy officer from Dell. And, again, everybody is talking about AI and howling about data and data privacy, but Boomi's in a unique place to kind of create that data fabric. I think the second one is being able to deploy AI into our own product and into our own community. And, in talking about staying ahead of the curve, that's paramount, that's our fundamental. In my opinion, that's the fundamental differentiator. It's the moat that we have today because we are single instance multi-tenants. So, people will talk about the number of customers they have, but all of ours live on one instance of Boomi. So, that 30 terabytes of anonymous metadata, that's all on one instance. So, we see that it's our opportunity, and you see it with suggest and assure and some of the things we pioneered in AI. It's our opportunity to take advantage of that with the future of things and Steve Wood will start talking about that tomorrow. I'm excited of how we deploy AI in Arctic community and our support in a much more proactive way help our customers solve problems and opportunities that they have every day. >> Michael Dell has talked numerous times on theCUBE, and even again today, and in the keynote that companies need to express their competitive differentiation with their data. Enterprises that has mostly been the sweet spot for Dell Boomi. Large organizations not born on the cloud, many of them, have a huge advantage of having a ton of data. You guys are a great example of how you are also using almost 30 terabytes of anonymous metadata, to tune... And that's too soft of a word. To really empower the platform. So, you're an example of, with the kind of transforming, using what you're saying is what companies need to differentiate. When you're in customer conversations, as the chief customer officer, how often does sort of that Boomi on Boomi transformation story come up and help customers get even more trust in the brand? >> That's a great question. I think it comes up more and more, and I would say it's Boomi on Boomi, but it's Boomi on Dell technologies as well. Because Michael talked about it, Dell went on this acquisition bench, and if you go look at it, it started roughly nine, 10 years ago. And, Boomi was literally the second, if you go look at kind of the assets that they purchased, Boomi was the second. And it was about 12 months after the first acquisition. And everybody is learning about what it can do, and they're like, wait a minute. We acquired this other company 12 months ago, and we're still trying to figure out, simply, how to make the two instances of Salesforce talk so that sales makers can just share leads and understand what they're doing in each other's accounts. We're, like, well that's kind of what Boomi does and within six weeks that problem was solved for that acquisition, and obviously the Boomi acquisition, and then, kind of carried that on. >> So, you use your own technology to solve the internal problem. >> Exactly, drink your own champagne. And that's just become more and more. I mean, we have a multitude of people from Dell technologies, IT here, this week, talking at some of the breakouts in terms of how they leverage it. They're now leveraging that. They're now leveraging Flow for different opportunities. Dell's got one of the largest service cloud deployments in the world happening. A lot of that will be powered by Boomi. And, so, those conversations come up all the time within customers. I think the Boomi on Boomi, I think the onboarding app will certainly give us an opportunity to talk more and more about that. Obviously, our application stack underneath the covers is integrated by Boomi. So, it absolutely comes up, but I think we're kind of at this inflection point in terms of these discussions where I would tell you they come up in a step function way more today than they did when I kind of came back to Boomi three years ago. >> You know, Chris, I got to ask your perspective. You made me think of some question. You mentioned that Internally Amazon had the same challenge with AWS. They solved their internal problems. And then, the rest is history. Dell has an interesting architecture now, and if you look back at the history of Dell, I know you look at how it was built out, Michael has been very successful in merging in as an equal with EMC, the acquisitions that came in, tuck-ins, and some in storage all over the place. You guys have a culture of acting like a startup. The founder on stage is, like, I'm jazzed, I'm going to go the next 30 years. I'm like, that's 85 I'll be like... (Chris laughing) Okay, so, this is a culture of startups. How does Boomi keep that startup edge? Because they were really SaaS first, early on. How does that maintain the culture? And, now, the power of Dell technologies. VMWare, the relationships. They've got some muscle within Dell, but mostly don't want to put the wet blanket on the innovation engine of Boomi. How do you guys operate that? Because you want to tap the internal. >> Yup. >> Build that, make that, feed into growth. Same time, be nimble and fast like a startup, and grow. >> Yeah, well, this is like the unique opportunity that I've had, right? I led the strategy that ultimately led to the acquisition of Boomi, led the due diligence, and then rolled out and was part of the leadership team eight years ago. Eight years ago to the day yesterday was the anniversary. And, part of the design point of the acquisition though, part of the selling point to Michael and his leadership team at the time, was incubate Boomi. Please, don't try to integrate it. >> Don't force it too early. >> No, let's leverage the power of Dell where we can, particularly from a go-to-market perspective and a branding perspective, but in terms of truly integrating when you think about integration in terms of M&A, that wasn't the playbook that we ran. In fact, my job as kind of the chief integration officer at the time was to really protect versus integrating. And, I would argue that that's kind of carried on eight years later. And, Chris McNabb and the team have, you know, Chris has built an incredible culture at Boomi. And, it's probably the first thing that we talk about at every leadership meeting which is we're trying to grow heads, and grow team members, and grow Boomers, 40, 50, 60% year-over-year in terms of our hiring. The one thing that we cannot relax on is that culture. And, Chris has infused that in us. Michael's absolutely an incredible backer of that. >> So, strategic since day one. >> Absolutely. >> You know that cloud's around the corner, but still you know you're early, so you probably got a good price on the deal anyway. But, you said, okay, cloud-native. You got VM, you got Pivotal. >> Yup. >> It's maturing in real-time every day. So, you guys had a plan from day one to be strategic that way. Not jam the revenue up and try to get the numbers up. >> No, and I would say even today, I think we're absolutely, we think there's incredible opportunities with partnerships with, obviously, Dell technologies, but with Pivotal, with Vitrustream, with potentially VMware. I think you'll continue to see us announce things and explore those, but Michael, he holds Chris, and ultimately the Boomi team, accountable to our P&L. We have to go meet our numbers. And, there is no forcing of partnerships. It's, like, it's where it makes sense, and there absolutely are things where there's logical sense. >> Well, now you're in the inflection point. You got to grow the business. But, the data is still going to be, that could be the next kick up. You don't know where you are in the inflection point, I'd imagine. Are you down here or is it hockey sticking up? Because if the data comes home, and you're a trust platform for the data, that feeds into the apps. >> Absolutely. >> That feeds into the API 2.0 economy. >> Yeah, yeah, yeah. And, I mean, yeah, it's a fair question. I don't know that we'll know until five years from now where we are today in terms of that inflection point. I would say typically we're actually seeing acceleration in our space, right? Like, usually, when you look at the Gartner, the Forrester stuff, that I stared at eight years ago. Usually they're very aggressive on their expectations. Their expectations for iPaaS were actually lower than what we've seen. And, we're actually seeing even acceleration and growth of the space. So, we know that we have this opportunity, I think, with data and the ability to create this data fabric and really drive those business results and insights into our customers. I think that's what puts us somewhere on that inflection point, but I would argue that it's more like this today than it is that. But, time will tell. >> So, customers, the bread and butter, the reason we're all here, right? 7,500 plus I mentioned in the beginning, five a day. You just today, Chris, recognized the first customer awards for Boomi customers, and you had some really cool categories, change agent, emerging technologies, innovator and ROI. Talk to us about the genesis of this customer awards program and how is that really kind of even internalized with the Boomi folks going, look at what we're enabling, so many different types of businesses to achieve. >> That's a great question. I mean, since I've been back, one thing that we try to instill in the sales cycle is really talking to customers, understanding what is the business value? What are you trying to get out of this? We're typically an ingredient of a broader project, so how do we articulate? What is that business value? What's the business outcome that you're trying to achieve? And, I think today was a way for us to talk aloud, and, ultimately, reward people that are leveraging technology. Boomi's a part of that, but, ultimately, what is the business value they're driving it? And, in a profound way, that's even amongst our 7,500 customers are unique in some way across those different four categories. So, that was really the genesis of the customer awards. It was trying to go find those types of customers that were somewhere much further along in their journey across one of those four pillars, but about their business outcomes. What they were trying to drive. Whether it be having a trading partner take six to 10 weeks down to three days. Whether it be driving better customer experience within customers trying to seek out advertising with charter. And, ultimately, get them, but, again, generating bottom-line results and top-line results. So it's about the business outcome, the business result. >> Final question, I know we got to break, but I want to get it out on the record. What are you investing in? What are you doubling down on? Obviously you're on a growth curve right now, so you can look back where you are in the next couple years, but certainly it's working. So, what are you doubling down on? Where is your key investment areas as you look at the next years, 24 months out. What's going down? How are you operating the business? >> Yeah, and maybe I'll highlight three things. I think first and foremost, it's our product, and I think you'll hear from Steve Wood tomorrow. So not just me, when you ask me that question, I'm going to talk about Boomi's investment priorities. So, first and foremost, the product. I think you'll see tomorrow. We started, I mean, look, three years ago we kind of did this separation from Dell technologies, where we're 100% owned, but that in terms of the profound impact and investment of the business, that's where we started this journey. But, in terms of the next 12 to 18 months, I'd tell you product, and you'll start to see that tomorrow, and how it's manifested itself, and where we're headed in the next 12 to 18 months. I'd tell you our go-to-market activity and there it's continuing to build out as global capabilities. It's continuing to really hone and focus our partner capabilities, and that's also figuring out how to leverage Dell technologies and really drive that, particularly to help bring us into those opportunities as we scale and continue to grow. And, then, I think the third is our customer success equation that I talked about this morning. Chris has been incredible. I genuinely mean it, success is a Boomi-wide initiative. We're only as good as our customer's experience today, and we invest in that every single day and that's been a profound investment area that we'll continue to ramp up to really plow down on that success equation we talked about. >> Well, Chris, thanks so much for joining John and me on the program. COO, chief customer officer and dare I also add chief listening officer. I've heard a lot about your listening to customers as well as employees. Thanks so much for your time, Chris. >> Thank you so much. >> I'm Lisa Martin with John Ferrier. You're watching theCUBE live from Boomi World 2018 in Las Vegas. John and I will be right back with our next guest. (upbeat music)

>> Live from Las Vegas, it's theCUBE. Covering Boomi World 2018. Brought to you by Dell Boomi. >> Welcome back to theCUBE. We are live at the Encore in Las Vegas, I'm Lisa Martin with John Furrier. We're at Dell Boomi World 2018, second annual Dell Boomi World, and we're here with one of Dell Boomi and Dell's biggest GSIs. We've got Jason Cook, the Global Client Account Lead at Accenture serving Dell. Jason, thanks for joining John and me today. >> Thank you. >> So, second annual Dell Boomi World, bigger than last year. They were talking today, a lot of interesting numbers. 7,500 plus customers to date. They're adding five new customers everyday. I saw the Gartner Magic Quadrant from earlier this year and iPaaS, they are right up there in that strong leader category. Talk to us about the relationship that you have with Dell Technologies and the business heat of Dell Boomi. >> Yeah, yeah, it's an interesting one. So, Accenture has become very big. I think we now have 470,000 global employees, and our brand and presence is technology advisory and delivery, it predominates what we did. What's interesting about Dell and, specifically, Boomi is being so central to the technology ecosystem, there's much opportunity for partnership. Where Dell is present with enterprise clients, we're present too. And we tend to have long-running relationships with those clients. Most of our clients are tenured over 15 years. So it gives us an opportunity to have the type of longstanding relationship that Dell has with clients and advise on technology trends, and change, and break into the best thinking of the marketplace in their clients as they look to solve problems, of course, Dell is central to that solution set, as Boomi is too. >> And yesterday, they announced a new technology partner program. Dell Boomi has a broad partner ecosystem that it partners, implementation, GSIs, talk to us about that and the maybe new business opportunities that it will give to Accenture. >> Yeah, so we've enjoyed a relationship over the past several years in Europe working with Boomi. And we incubated a program over there called Eccentric Growth Partnerships, where with emerging companies such as Boomi, we've gone to market, leveraged the Accenture channel, and then brought scale to those technologies to deliver at enterprise level for their expectations. It's been very successful, you know, seen on both sides is a real win. And we're now transferring that into the North American market, so we're based on the heels of that success. We're looking to formalize some of the things we've been doing internationally in North America. A larger market for both of us, and so it's expanded opportunity in both places. >> Jason, talk about Accenture's own transformation. We've been following you guys for, I've been following Accenture when they changed their name. But recently you guys have invested, in the past decade, really early in data science. You guys have been on the public cloud very early. You've been partnering with your customers. And so that's all great, you guys do a good job with that. But what's interesting is you're actually helping them change their business model. >> Yes. >> So how has your own transformation within Accenture dealing with Dell, he's been doing a trillion dollars in business. Millions and millions of servers sold. His customers are changing. You guys are in that business model, enablement business, you're helping customers. What's the big business model impact that's happening in the market right now. >> Well, I think you know, as it pertains to Accenture, yeah, we've grown. I would say one of the hallmarks of the growth has been around digital, and I think 60% of our revenues are now digitally oriented, which are in the areas you described. So that's become our brand and presence, and the majority of what we do in the marketplace. I think the things that we're doing to serve clients, which are several of the things we've done internally, have been around all sorts of digitally-enabled journeys, whether it's the intelligent enterprise, the connected customer, the adoption of platforms, and the expanded use as a service within enterprises. There are plays within all those spaces where we end up bringing enablement to those clients. You know, examples would be, in the retail space, you know, growth and expansion of omnichannel techniques, so that the same customer experience exists across anywhere in retail. Programs around single views of customer are very, very common for us globally. Traditionally, less technical areas of the business, like a supply chain operating that's dominated by manufacturing and fulfillment and brick and mortar in the retail space. The real time visibility challenges that have historically been there are only now being able to be solved by technologies, and so there's several different. >> And the cloud certainly is horizontally scaled, so it impacts all industries that you play in, so, good for business. But the challenge that the CIOs have that we talked to, we hear and want to get your reaction to is, okay, I loved technology scale. I need to have proof points. I got to have mile markers that are going to be attainable with time-to-value. But the number one thing they say is I got to bring a competitive advantage into I.T., in a cloud construct that's horizontally scalable and work with partners in areas that aren't core. So, leverage supplier relationships, but build a core intellectual property or competitive advantage with I.T. How do you guys help them? What are some trends? What are those I.P. moments for your large and medium-sized customers? >> Yeah, I think that because we have the heritage of both advising on and delivering technology, where we tend to work closely with CIOs is around the speed-to-value, delivering on programs. We represent a wealth of experience and work in the marketplace, and those learnings can be brought to different clients, and fundamentally that's what's valuable to them. So I think that when we talk about cloud enablement, it's often a matter, too of thinking through, what are the specific business outcomes that can be delivered from the use of technology. And so, clients for example, I can think of some clients, that one company that has 1,400 legacy applications in a cloud footprint. And yet the business initiatives that come into the IT-- >> They must use containers a lot. >> Yeah, well exactly. The questions that come into the I.T. organization are often ones around how can we improve our visibility to product line profitability, as an example. And so, the use of cloud, the use of integration technologies like Boomi accelerates the ability to connect information from that disparate environment and deliver outcomes. >> And specifically more tactical, to get those outcomes, what specific things do you see? Is the cloud native? Is it the role of data? How are CIOs getting down and dirty, saying okay, I'm going to lock in on this as territory, we're going to build around and build on top of. Data, cloud, and IoT's new, and everyone knows what IoT is, it's going to be part of, either physical and/or low-hanging fruit. But what are they building on from an I.T. standpoint? Is it the data, is it the network? Is it the storage? So what do you see there? >> Yeah, I think it is the data. I think that's where we see, data-led seems to be the thinking in most of these cases around getting information consistently consumed throughout. 'Cause the world has become so data intensive that access to data is not the problem. It's the integration, and the derivation of value from it that's-- >> And scale, too, I mean. >> And scale, right, yeah. >> Hello cloud, so cloud and data seem to be. >> And it's become more distributed, too. And so dealing with distributed data sources and normalizing has been a-- >> That's where Boomi comes in, integrating all that stuff in, so cloud and data seem to be the pattern across the board generically speaking. I mean, obviously certain industries financial, service, oil, and gas have unique requirements. >> They all have their own cases for it, whether you're a distributed bank, or whether you're a distributed retailer, or whether you're dealing with oil wells in distributed locations, you run into common problems across all industries. >> And integration is so much more, as the iPaaS market has evolved, it's so much more than integrating applications. It's integrating applications, data from existing sources, from new sources, the API economy is essential for that. To enable an organization to create a customer experience that's going to allow them to use that data, and continue to get more customers, more data, and evolve faster than their competition. But transformation is a big challenge, right? And here, well, and even Dell Technologies were, the theme was about making it real, making it real for digital transformation, security transformation, huge priority, workforce. How, when Accenture is going in to integrate at, whether it's a retailer or an oil and gas company, how do you help them start? What's that start of a transformation? >> Well, it often is the transformations you were just referring to. Our typical engagement profile ranges from how do I engage my workforce in a new way? Or how do I improve visibility across a distributed network of retail stores, or banks, or what have you? And so those are the transformations, and then inevitably, the connection of information across those things become the enabling source. If you take, as an example, a customer experience program where, let's talk about a government example where they want a single view of a citizen, a tax payer, whatever it may be. There's so much information on that person in so many disparate places that has to be brought together in a cohesive way. Not only that, but brought together and then used effectively in serving that person. And that's where you see a lot of value. >> Jason, I want to pick your brain while you're here, 'cause Accenture's always got the smart people who know what's going on. And you got big customers, big examples. There's a dynamic right now between two kind of personas. Kind of making it generic for the conversation now. Persona one is the business executive who is responsible and chartered to drive the digital transformation with new and improved applications. Taking advantage of the legacy, bringing in the new, managing them either on their own schedule. And the second persona is the person deploying cloud. So how are companies organizing around these personas? One's got to be under the hood, I got to do multicloud I got to do Kubernetes, I got to do all these things. Stateless applications, stateful applications, integrate them all together. I'm deploying it. And then the business persona, hey, take that hill, more apps, more outcomes. So how are companies organizing around these dynamics? What's the best practice? >> Yeah, along the lines you describe. So, specifically, the business functions are becoming aligned with application domains, and those tend to be programmatically managed. And so we see structures around that programmatic management. To be very responsive to business needs, and particularly as clock speeds accelerate on delivery, maintaining that partnership is very, very important. Likewise, on the infrastructural side, we see alignment there too to take advantage of creating platforms, and enablement, and infrastructure, and delivery capabilities that can deliver on that promise. >> So they're working together on pizza teams, or like agile teams? >> So it's a customer-focused model for the programmatic work and it's an industrialization and an acceleration on the infrastructural side. And that's, again, where there's a strong fit with some of these-- >> Do you have a favorite example, speaking of that? So many departments, lines of business, need to have access to the same data to be able to develop new products and services, tune things, make things better, faster than their competition. So there's this sort of democratization and this need to be able to share the information so that the entire business can grow together. Do you have a favorite example of an organization of any industry that you've worked with that you've seen really do that well, so that business, at the end of the day, everyone's playing well together because they have to. The business now is connecting customers, vendors, partners, and delivering experiences that are truly differentiating. >> Integration programs, data programs, data lake programs, data science programs often have a governance mechanism out in front of them to prioritize the needs of their business. Both in the back, in terms of enablement of different sources of information being accessed, but also the uses on the front end. And so that is a practice that we're seeing grow exponentially. The other thing that's interesting, I think, in terms of best practice is that as intelligence accelerates and companies become more analytically driven, the traditional process of continuous improvement which used to be defined in terms of Six Sigma events and other things, where once in a while a function would be evaluated for efficiencies becomes a continuous capability. So in this governance model, the ability to refine, and tune, and improve things like integration, AI, analytics on a continuous cycle as opposed to having it be event-driven is certainly an emerging trend and a best practice that we see a lot of. >> Well, Jason, thanks so much for joining the program with John and me today, and sharing with us what's new with Accenture and Dell Boomi and how you're helping customers globally truly transform. >> It's a pleasure, thank you for having me. >> And for John Furrier, I'm Lisa Martin. You're watching theCUBE live from Boomi World 2018 in Las Vegas. John and I will be right back with our next guest. (electronic music)

>> Live from Las Vegas, it's the Cube covering Boomi World 2018, brought to you by Dell Boomi. >> Hi, welcome back to the Cube's continuing coverage of Boomi World 2018, I'm Lisa Martin in Las Vegas at the win, with John Furrier, and we are at the second annual Boomi World with the CEO of Dell Boomi, Chris Mcnabb. Chris, great to have you back on the program. >> Lisa, it's great to be here. >> So, your key, you know, your fireside chat this morning was really interesting, so much information there. Couple of stats that I was researching about Dell Boomi recently, a leader again, I think Micheal said maybe for the seventh year in a row, Dell Boomi, in the iPaas Gartner Magic quadrant, you're way out there, you guys are adding five new customers every single day. >> We are. >> You have, and I love this, as a marketer, 92 percent of the break out sessions here at Boomi World have customers and partners. >> Exactly right. >> What better brand validation than that. Talk to us about this second annual Boomi World. What excites you about getting this community together? >> You know, the excitement and just being a part of this community is just, it's energizing every day. You know, what you're able to do to help customers and you know, solve transformation problems, have them reach out and get integration and connect and unlock data silos in the far reaches of their enterprises and leverage that data, to engage their customers their partners and employees in brand new ways. And when you look at, you know, what best, in my mind, in a user group meeting, customers need to take back to their enterprise what it is that they can do come Monday, to transform their business and so we thought what else better than concrete examples from what partners have done, from what other customers have done and so on. And, you know, as we, I said in the beginning of the keynote, it's so amazing to me when we had the opportunity to review all of the customer's submissions about, I'd like to talk about this, I'd like to talk about that, we had so many more than we can bring on and make a part of our agenda, and it's one success story after another about how they're transforming their business, how they make a massive impact. Even in our partner awards, we talk about the innovation award and the ROI award, etc. you know, having the folks like Charter Communications and Umbra and so on come up and just really innovate. Those are the kinds of things that really drive us at this conference and, I think our theme, Unlimited Possibilities, hit it right on the head. The possiblities for us and our customers to change businesses is truly unlimited. >> How important is integrative platforms of service now that Cloud Native now is certainly going mainstream, Cloud's business model is certainly showing people how the subscriber model works, the fly wheel is certainly going on, BM were just acquired, which is a small startup doing cuberneties, which kind of gets at this whole integration opportunity, how has it changed in iPaas or integrative pass, and what are the credible drivers in that market for you guys right now that's different than before? >> You know, integration platform as a service is a tremendously evolutionary path and one that is rapidly accelerating. When you sit in a category that has, it depends upon which analyst you look at, but somewhere in the range of 50 percent year on year growth, there's a, it tracks a lot of attention, you get a lot of people in startups, you get a lot of the megavenders showing up and you get a lot of the incumbents who have been around a decade like us that really try to get this business to go forward. That evolution pushes the progress of platforms on behalf of our customers very rapidly. It used to be the case in integration platforms of service not all that long ago, was really known as cloud integration platforms. We connect cloud due on premise. And over the last four to five years that has completely changed, right? They are now complete middle, enterprise middle ware solutions that are offered up as a service. They do on premise on premise integration, the do cloud to cloud integration, they can do EDI kinds of integration, ETL, etc. etc. Way beyond integration now, these platforms must come to the table with process integration, workflow orchestration, low code capabilities for mobile app development to engage your customers differently, MBM capabilities for data governance. >> Sounds like enterprise create certain, these are enterprise requirements. >> Yes. >> This is not like doing a little bit here and there, integrative platform service, enterprise grade. What differentiates those two? In your mind? >> I think Garner does a pretty good job of differentiating the segmentation in the market. They talk about enterprise grade integration platforms of service, people, vendors, they bring all of that to the table, and then they have domain specific. You'll get IOT platform as a service, or you'll get workflow as a service, etc. And those kind of niche providers provide deep capabilities but it's only in that one area. And when we look at it, we are a unified platform, is going to be able to dramatically reduce the complexity and speed people up because you can learn one thing and do many things, as opposed to having many domain specific ones then you have to learn them all. >> So, Chris, iPaas has been around for a while, you guys have been a leader, Dell Boomi has, for a long time. But it's more than integration, you guys talked about this reimagining of the I in iPaas. But also, it's not just about connecting applications, connecting data, new and existing sources, it's about connecting people, processes, enabling organizations to actually use that data as that fuel that it can be, to identify new products and services, get more customers, get more data, iterate, etc. etc. Talk to us about iPaas 2.0 from Dell Boomi's perspective and what makes you guys so well positioned to take this forward? >> Yeah, great question Lisa, the iPaas 2.0 for us is really about leveraging all the knowledge, information, and skills that all the talented engineers have put into Boomi for the past decade. And all of the metadata from all of the programs and all of the executions and all the configurations it's ever been run on exists in our repository today. We have nearly 30 terabytes of metadata and information about data integration and so on. It's that pile of metadata that we can leverage and we can put AI machine learning, neural networks to work on, to make sure that the knowledge encapsulated in that metadata repository is made available to not only engineers in our customers but also their constituents. That net effect will dramatically reduce the work load on integration engineers. IT departments that have a list of 50 things to do can now have a list of 10 things to do, they can get to them, and we can turn them from a department of people who say no, to a department that says yes to the business. >> And automation drives a lot of that. I want to get your thoughts on the customer traction. You know, I was just interviewing the adventure capitalist in Silicon Valley we were talking about complexity. You don't want to add more complexity to already complex and tedious tasks. You guys have made good traction with making things easier when you were a startup, now you're a part of Dell. How are you guys going to continue that forward? Is that a key part of your strategy? Making things easier and simpler? >> Yeah John it's always been a key part of our strategy. You know, we find that complexity is a ball and chain around people's leg when it comes to productivity and agility, right? It slows you down at a time you can't afford to be slowed down. And so what we do with our platform today, we allow people to learn one way to program stuff and no matter what kind of integration you want to be able to do, there is one way to do it. I don't have five different technologies to do five different types of integration. With one way to do it, we generate economies of skill for our customers. Do one thing and have it apply to many things, right? Removing the complexity instead of learning five different vendor's products and getting them to work together. That's one way in which we make things easier. We make things easier today based on the metadata that we got. So all of the programs that were written in the history of Boomi, they're all in a single instance of our cloud database, we're a cloud native, right? And so when somebody goes in to connect >> You're a cloud native, so all your stuff is in the cloud? >> We are a single instance multi tenant cloud application. We're offered up as a service, beautiful, right? >> So you're living what your customers are trying to do? >> You know when I see some of my vendors sending out, you know, the two and three page sets of documentation on what the customer needs to do to upgrade to version three or version four, I shudder. None of my costumers ever do upgrades, that's, we provide them, and do for them 11 upgrades a year. We skip Christmas for obvious reasons. But so anyway, going back to how we continue to make things much easier. We have a suggest capability that leverages metadata and immediately creates a mapping between system a and system b, even though you're new to it for the first time, my marketplace and the history of my customer base is not. I can leverage all that with one click and within 30 seconds, I can get you a working integration. >> So born in the cloud gives you an edge? >> It absolutely does. >> And now you're in Dell you have the power and muscle of Dell technology and Micheal Dell, who sees the future by the way not as he's mailing it in, he sees it as super exciting. You asked him that question on stage today around his legacy, and there's a lot of cool stuff happening but a lot of unknown things coming, like voice activated systems, b to bs getting cooler, less boring. How do you see that? >> Yeah, listen, like I say John, I think we're at the tip of the iceberg. I look at what we're doing today for our customers and it's just a foundation layer. Reconnecting to all the things in your enterprise, getting into those far reaches of systems that exist for a long time, and stuff is stuck in there and you can't get access, it's stuck in the cloud and you can't find it. We are breaking down all those barriers and we're making connectivity seamless. But that's just the starting point for us. When you start applying AINML and you start predicting failures for people, you can tell them when they're ready to launch a configuration with a ready to work load and I know before hand that's going to be problematic, that only handles work loads of arrival rates up to x and you're bringing 2x, we can help be that, we can encapsulate knowledge in the platform and really bring on AIML capabilities that take them to the next level leveraging all the smart knowledge and capabilities integration engineers have put into it. >> Speaking of impact, you guys just did with Forester, a total economic impact TEI and there was some big numbers, big quantitative business outcomes that a composite organization that works with Dell Boomi is achieving. One of the things that kind of struck me when you mentioned was that some of the development times can be shortened up to 70 percent with Dell Boomi as the unified platform. IT staff becomes more productive, a lot of cost savings there, the opportunity as a whole to retire legacy systems, reduce the burden on IT, because as we all know, technology is pervasive across the organization, so this new study really shows the significance, not just quantitative benefits, but strong qualitative benefits that your 7500 plus costumers across 35 countries are achieving. >> Absolutely right, you know, if you just look back to our ROI winner from this morning, our partner of the year, 1600 percent ROI on their project. I don't hear that number very often, I wish I had a few more of those in my drawer, but you know, Lisa, when we are a focus. A couple of interesting things about that economic study. One, they really looked at very large organizations. Right? When they averaged everything out, it was a 10 billion dollar organization, it was 30,000 people, it was an enterprise wide deployment. This isn't little, but we are capable of supporting the mid market as well as the large enterprise. And it's our techniques that I was telling earlier, like suggest, like our economies of skill, and other things that we bring to the table that make them much faster and easier. The fact that you can do things seven times faster and so on and so forth, shrinks the amount of time projects take. So think about the impact on one's business. If you schedule a project that takes a year and you take a hit halfway through, you can't really change your mind or take a different direction til your kind of done because you have all this sunk cost. You're sort of stuck following that direction you established 12 months ago, right? So if I can be seven times faster, eight times faster, I know give you seven times more decision points throughout the year to change your mind. Yeah, I thought I was going to do that next but technology has changed, the competition is something, my customers are asking something more of me. Those decision points result in agile, nimbleness for people's business. Our customers desire that, and that's how we talk about, that's how we will provide them agility in their business. >> One last question before we break, I want to get your thoughts on ecosystem and the community. You guys have a very community focus, I saw the showcase here, and you have an ecosystem again, now part of the Dell technologies, but Boomi had its own ecosystem. What's your vision of the ecosystem and community? What's your strategy, how you going to grow it, nurture it, and bring them into the value proposition? >> John, the community is everybody's secret sauce. If you're a Boomi customer, if you're in Boomi, or if you're a Boomi partner, that entire ecosystem, the community is all of our secret sauce. It's the thing that's going to carry us all to more successes. As people participate in, as they contribute to that, things happen, they do more in the platform, the platform learns, and the platform will turn around and provide it back. It is a wonderful, virtuous circle of continue to do more work, continue to get bigger, continue to grow, get smarter, deliver better results, deliver better ROI, do more work, and on we go. >> So you believe in co creation, that dynamic of bringing people into your production, into your development? >> We absolutely do, you know, being one of the last truly open integration platforms as a service provider's on the planet, and you know, many of the former folks have been locked down by larger vendors and so on and so forth, or bought out by private equities etc. And so now being one of the last truly open, we don't have a stake in the game other than I want to connect everything that you're trying to do I want you to engage your customers in new ways, and I want you to transform your business. >> Well, we're talking with Lucky Brand a little bit later today, it's going to be an interesting story, brick and mortar, almost 30 years old, how it's not just transforming with Dell Boomi as a partner, but really revolutionizing the customer experience, because as customers, we expect everything, anywhere, anytime. >> Yeah >> So thank you so much, Chris, for stopping by, wish we had more time to chat, but we appreciate that and we wish you a great event at the second Dell Boomi World. >> Lisa, thank you so much for being here, really enjoy it, and enjoy the rest of the evening. >> Our pleasure. >> Thank you John. >> Thanks Chris. >> And for John Furrier, I'm Lisa Marten, you're watching the cube live from Boomi World 2018. Stick around, John and I will be right back with our next guest.

>> Live, from Bahrain it's theCUBE. Covering AWS Summit Bahrain. Brought to you by Amazon Web Services. >> Okay, welcome back everyone. It's the theCUBE's coverage here, in Bahrain, in the Middle East, for our coverage of AWS Summit and the announcement, and now soon to be up-and-running in 2019 in Q1, Amazon Web Services, full region here in the Middle East. Should have a massive impact to the ecosystem, and companies and entrepreneurs from around the borders. We've got great conversations all day. And today we've got to great guests here, Emilio Valdes, VP of EMEA South and Latin America for Informatica. Thank you for theCUBE sponsorships over the years. We've covered Informatica shows all over the world. Mathew Joseph, business head of Data Analytics for Wipro. Good to see you, thanks for joining us. >> It's a pleasure. >> Same >> Great to be here. >> So, Informatica, we know a lot about you. We cover all of your big events in North America, I interviewed your CEO, I've been following the value proposition, growing really well, you've got a good product offering. But we're in the Middle East, okay? And what I've learned here is that there's a thirst for entrepreneurship. There's a thirst for cloud. But everyone's talking about data. And if data's the new oil, no better place to be than in the Middle East. They know the value of oil. What's going on in town here? What's happening in the Middle East? >> Right, so, as I cover a pretty big area within Informatica, I used to travel the world and meet many customers, in many places, many customers and many industries here in the Middle East. And I can tell you that, you know, the story, the messages are very consistent, you know? Every company, every industry, is going through a massive period of change, and companies are reacting to this change very differently. What we've seen is that the disrupters are going to be the ones that will, you know, implement digital transformation consistently, and we believe that data is the key driver for intelligent digital transformation. Here in the Middle East is no different. We've been seeing this across the different countries, in Dubai, in Bahrain, in Kuwait, in Saudi Arabia, exactly the same as everywhere else in the world. >> And cloud's now coming in full throttle at Amazon, You guys are not new to Amazon. I know you guys do a ton of work with Amazon integrating and putting all this together, what do you think is going to happen, here? Now Amazon gets up and running, they're already using a cloud now, so Bahrain's clear, cloud first. Saudi's got the cloud bug too, they're doing great things. So when an actual region comes here, what do you think is going to happen? An explosion of innovation and more business? What's going to be the impact? >> Well I think, I think the market knows what the benefits they can get out of the AWS platform, and I believe the challenges are related to get the most out of this AWS platform. At Informatica, we are going to help customers to move their data to the cloud in a consistent manner that is connected, articulated, properly governed, and not only this, but also we believe that the key value is in the hybrid world. The world hasn't moved to the cloud yet, entirely, so most companies continue to have some on-premise applications, as well as their cloud applications. So I believe that Informatica can help customers here in the Middle East, by connecting the on-premise world with the cloud world. And at the same time, the value they can get from our platform is by making AWS easy to operate, and, you know, move data to the cloud in a consistent, quick, and sustainable manner. >> So Matthew Joseph, you're with Wipro, why are you guys together, what's the relationship? Obviously we know what you guys do, you guys do great work, global, around the world. We see you at all the events. From SAP Sapphire, EMC World, now Dell World, Reinvent, you guys are everywhere. So here, what's going on here? I mean, analytics, you need analytics. You're good at analytics >> First of all, John, thanks a lot. A couple of thoughts. One, Wipro has been a global partner of AWS. Wipro's a global partner of Informatica. And the region is going through massive change of innovation, of using, consuming data. And at this point we really feel that both the expertises should come together to manage the change. And that's the simple reason why Informatica and Wipro are together, along with AWS and this, I would say a historical movement of this part of the world, to actually consume this rate and transfer the data for all of us. >> So if I asked you a question that said, hey, tell me about your relationship with Informatica. What's in it for me? What do you do for me? Are you, are you bringing it together? Are you guys going to market together? How do you, how do I win with you and Informatica? >> So what we have done is, as I told, the global partnership, across the globe, the best practices we're bringing back to this part of the world, to make sure that we have a similar set of stories across the global sphere. This certainly means more repeatability, less risk, and for the entire government to go through a small transition of going to the cloud. >> And data disruption is huge. You guys have Informatica 3.0, and you guys have your practice. When you put that together, what's the go to market? What's the value proposition? What's the pitch to the customer? >> So the key part is the IPaas method, the platform as a service message, right? With the platform as a service, it's a market that Gartner has identified as a $12.5 billion market. And it's growing very rapidly. Just to give you an idea, we process three trillion transactions per month, and this number is being multiplied by three every three to four months, right? So the iPaaS platform is what is going to help customers to move from the on-premise world, to the cloud. And this is where the key value Informatica, and Wipro, can put together to facilitate and to help enable customers in their journey to the cloud. >> So talk about the Amazon impact, obviously you guys do work with Amazon. What, specifically, does Amazon have that you guys like? That you work with the most with customers? Obviously they want to know, obviously you know, I got data, a ton of data. I've got to manage it. I mean, analytics are pretty good. You've got Sagemakers, Hotrock, on fire. Redshift everyone knows is doing well. Kinesis, with streaming. What's some of the Amazon tools you guys are working with around some of these day-to-day opportunities? >> Yeah, so there are multiple of them. In fact today's the day when the big data is pouring in, for example, right? So how do I really bring in all the data into a common platform? And today the customer is also talking about how do they really consume it? So consumption is a major attraction for AWS and how they really consume this data. The extraction, making sure the data is available, furthers decision making in the second part. The way Wipro and Informatica positions this entire journey is not just about putting the data into a common place and building up a transformation, right? What you're looking at is how do I really change the way the business works? And elements of design principal come in on it. And what Wipro has literally done is, we've done a lot of investments around how to I really make this transformation from a design-thinking point of view? How do I make sure the best practices of data science, and governance comes into it? How do I make sure that the press points for the customer are so clear and so vivid that decisions are made based on that? And I feel AWS, out in the region, is doing a great work on that. And that's the simple reason why all of us are together with that. >> That's great. And cloud, you guys are no stranger to Amazon. >> We are partner of Amazon. And we've been a partner of Amazon AWS for awhile. As well as Wipro is a partner of Amazon. And Informatica and Wipro are global partners as well. We're quite excited about bringing this partnership to the region. >> What sort of things that you guys have done together, can you share some examples of some awesome implementation and use cases? >> A few of them. So to me, what is happening, as I was earlier telling is that most of the government entities are talking about how do I really consume this data. How do I really think of it as an experience? So what we have really done is pull up this data, look at various models on how I can do revenue generation for the customer. How can I bring in more customers' recommendation? How do I make impactful decisions based on those data? And the ample amount of programs use cases that you have already implemented in this part of the world, and certainly Informatica has been a great help in this journey of ours. So the teams around which we look out, is data monetization, customizability, researching degree of the customer, operating efficiency, and this is true across industries. Government is doing a fabulous job of going on this journey but certainly we do a lot of work in the oil and gas sector, in the healthcare, and similar things like that. >> Awesome, and what's core value proposition that you guys are offering customers out here? >> I believe it's the messages we discussed earlier. It's having a consistent platform where data gets together and can be used across different applications, business units, et cetera. At the end of the day, end users will need to use data and they don't care where this data is stored. It could be in the cloud, it could on premise, it could be in a big data application, it doesn't really matter, you know? >> It could be addressable. >> Exactly >> In real time too in low latency. It can't be some data warehousing thing that takes, you know, real time application like a car needs data. IoT, a huge growth area. I mean these are new cloud architectural opportunities. You can't be having the old way. >> The data has to be connected, and secure, and clean, and available, and consistent. This is what we do for a business. >> Yeah you guys have got some good story there. Good luck with everything. I want to get your final questions as we kind of round down the day here. The day's kind of cleaning out here behind us. You can see it's getting quieter. What do you think about what's happening here? Amazon Web Services Summit, mix a little public sector, you've got some commercial, but this region pulsing with cloud demand. What do you think, guys? What's your thoughts? >> I think we're going to help the government to move to the cloud. We're very excited about the announcement that we heard this morning. The cloud-first policy. I think that Wipro and Informatica are uniquely positioned to give the government what they need to be successful in their cloud-first policy >> Thoughts? >> Same here, I think the last 24 months we have seen a lot of initiative from the government. Both across the artificial and then about data being the center of all things. And cloud is going to be a very pivotal role in this. And I think we are geared very well to take care of it. >> I think you guys are well positioned enough, you know. My translation is you see their cloud-first policy, they want to be involved in FinTech in the future, you got to have a data strategy to center the value proposition everything's got to be built around how that data's going to move, how it's going to be addressed, how it's going to be consumed, shared, connected. Across the board, IoT, on premises, real-time mobile, everything. >> And John, one more point, to close, would be what we see is the hybrid architecture coming up, alright? So cloud being one of them, the customers still want data inside the premises as well, so how do you really look at the hybrid architecture, and the challenges around it. I don't think there are many companies in this part of the world who are geared up to that. Wipro has done it multiple times, Informatica has been a leader in that. And I think that is going to be a game changer for all of us. >> You know Mathew you made me smile because, thank you for making me smile, because we always joke, and I always talk on theCUBE, and usually Dave Vellante's here and we kind of argue about it, because I say data is the new oil, he says it's not the new oil because oil can only be used in the car I guess, we can always go back and forth. But I've been saying that cloud is the future, I've been saying it for many years. Amazon certainly is more hardcore, Andy Jassy, all data systems moved to the cloud, What does that mean? Just announced RDS on VMware on premises, so it kind of like, takes that window, but I say that the cloud, operationally, is what's going on. People are moving to operations that are cloud-linked. So if everything is running cloud operations, DevOps, infrastructure as code, AI, all the things that you guys are working on, that means that the data center and on-premises, is an edge device. Or is it? It's a big fat edge. Or what's the difference between a windmill and an on-premise campus? I mean, edges? So, this is the debate we've been having. What is an edge? >> The way we see it is customers having a journey, in a journey to the cloud. And the state of the art is very different. We're happy to help customers to go through this journey efficiently, quickly, and in a consistent manner. >> And all serious, putting the fun kind of comment aside about the argument we had about the edge, is that the architecture that we see people are going to is, don't let some pre-defined thing define where the data has to go. So this data out there, it's got to move around. And if you don't want it to move around, then you put Compute to it. So there's all kinds of things going on where you don't have to get dogmatic about it. >> Absolutely >> What the definition is. It's all running cloud operations, then it's cloud, right? I mean it's not on-premises operations, no one says that. Anyway thanks for coming on theCUBE, thanks for sharing. Great to see Informatica here, great to see Wipro. We've got to get more of these use cases, if we had more time we would. This is theCUBE coverage, here, in Bahrain for Amazon Web Services Summit. Stay with us for more coverage after this break. (electronic music)

>> Narrator: Live from Las Vegas, it's theCUBE, covering Informatica World 2018. Brought to you by Informatica. >> Okay, welcome back, everyone. Live here in Las Vegas at the Venetian, this is Informatica World 2018, CUBE's exclusive coverage. It's our fourth year covering Informatica World, and boy, what a transition; it's been fun to watch. I'm John Furrier, the co-host of theCUBE, with Peter Burris, Head of Research for Wikibon, SiliconANGLE, and theCUBE. Our next guest is Sally Jenkins, Executive Vice President, Chief Marketing Officer at Informatica. Welcome back, good to see you. >> Thank you, John, it's nice to see you too. >> Very comfortable here, you guys having a great event, congratulations. It's crowded, but it doesn't feel crowded. A lot of sessions are going on. What's going on with the event? Give us some stats, you've got a lot of partners here. >> Yeah, so we are very happy to be back in Las Vegas, and we are taking this up a whole notch a bit, if you can notice. We've got close to 4,000 folks who saw the Opening General Session this morning. For the first time ever, we're live streaming, and sent out a note that we were live streaming to over 250,000 customers, so I'm real happy about that. Because, as you know, with the rebrand last year, it was all about getting our message out and upleveling our message, so we're really happy that our message is getting out there, with everything that came from General Session this morning, and then, tomorrow with Closing General Session. >> Just gets bigger every year, so congratulations. >> Thank you. >> Great to see that everything comes in. Of course, the products are just right in line. The timing couldn't have been better. Multi-cloud, everything's kind of clicking. GDPR over the top, little push there for all the international customers. But the big story that we see is the journeys that are happening. You guys have been on a journey as your own company, digital disruption, digital transformation. But there's multiple journeys. Can you just take us through the vision of how you guys see the journeys, and how does Informatica fit into the customers, 'cause your customers are also changing? >> Sally: Yes, that's right. >> Do you change your business model? Anil laid it out, customers have this journey. What's the four journies? >> Yes, that's a great question, John. So we have, of course, been customer-centric ourselves. We've adapted our journeys to accommodate the journeys that we know our customers are on. And this whole conference is centered around those four journeys, so hybrid cloud, next-gen analytics, 360 engagement, and data governance and compliance. So that's what we've heard our customers deal with day in and day out, in their data-centric initiatives, and so we wanted to encapsulate that into the entire conference. So that's what it's all about, and that's an extension of our messaging that we laid out last year. So you'll see that again and again and again in a consistent fashion. >> "Disrupt Intelligently", I saw the messaging. First of all, great artwork, great branding, a lot of the images; what does that mean? 'Cause you've got all kinds of great imagery, people on the move, mobile, data's involved, obviously, the center of it. >> Well, that and data is the critical foundation for what we call "Intelligent Disruptive". So disruption with a purpose is intelligent. And we believe, with our technology, that our customers can then unleash the power of their data to create what we call their next intelligent disruption. So we were very thoughtful about the choice of words there, 'cause disruption can be considered a negative, but we see it as very much a positive, and a way for customers to leapfrog the competition, and set the tone for their markets. >> This is an interesting concept. We were talking with a lot of the customers you've had on; we've had Toyota on, and they said, quote, these testimonials just kind of pop out, "We knew we had the data; we had all these problems "we hadn't connected, but we actually had the data "when they actually connected us, and said, "we could have foreseen this." >> Sally: That's right. >> So they were disrupted in a negative way, the fact that they were trying to connect, now they're set up. And then he used an example, once they got set up, that they didn't predict that all this inbound data from the cars were coming in. So again, that's a disruption, but now they've handled it. Is that kind of where you guys were kind of connecting the dots on the intelligent piece? >> Yeah, that's right, we're helping our customers understand what to do with the data, right? So they know the data exists, but we need to help them turn it into actionable insights that leads to their next disruption, and again and again and again with their different projects. And so those are the conversations that we've been having with our customers. Just helping them, we say, unleash the power of their data. The data's there, we need to make it useful and valuable to them. >> And competitive advantage, obviously, seeing data, ease of use as a competitive strategy. Now the Microsoft announcement was interesting, because you can see that you can take an on-prem dataset, go through the Azure portal in their console, which is very cloud-native, you know, press a few buttons, connect to Informatica's intelligent cloud service, and move data. >> Sally: That's right. >> I mean, it's not like there's someone behind the curtain; it's actually a working product. >> No, it's real, it's real and it's available for preview, and if you saw the keynote this morning, you heard from Scott Guthrie. He said this whole partnership between Informatica and Microsoft, and I quote, "A match made in heaven". So there's something real there. Microsoft and their customers see the value in partnering with us, so we were really pleased to announce that today. >> I'm going to check the Internet, but I think this might be the first iPaaS integration into Azure at this level. 'Cause it's pretty deep with these guys. So that's going to certainly set up hybrid cloud instantly. >> That's right, that's right. And scale, right, we're enterprise-scale to begin with, obviously, so is Microsoft. So it's a good partnership. >> Okay, from the branding piece, I got to ask you, you guys did the rebranding, what's your one-year review, if you have to give yourself a report card, check, check, check, straight As, perfect score? If you could go back and do- >> Well, I'd like to say that we were in the honor roll. And we measure ourselves based on what our customers tell us, so we were very deliberate in choosing a few areas of which we wanted to see progress, and that is, the first one is, were people aware that we're a cloud company? And I'm delighted to say that, yes, we've absolutely moved the needle on that, so they associate Informatica with cloud, as you know, we're the number one in enterprise cloud data management. That's what we kicked off last year. And so you'll see a continued investment around the globe in the brand. We believe that good brand health is what leaders do, in terms of setting the pace for their industry. And that's exactly what we're doing. So, one year into it, we feel really good. We did what we set out, and we delivered on what we said we were going to do. And if you all remember last year's part of the rebrand, as soon as we went external, then we needed to shift our focus back internally, and think about what does this mean to our employees, and how do we leverage the culture that we already had inside Informatica and build upon that? And that's exactly what we've been working on. So we rolled out a new set of values in January. To no surprise, they're called We-DATA. And DATA stands for Do Good, Act as One Team, Think Customer First, and Aspire for the Future. And so that's what we're doing right now, is rolling that out around the world to our employees. And that was based on employee feedback, as well. >> That's bottoms up, that's good organic listening. I got to talk about branding, 'cause this is something that we're seeing a lot of. We're seeing a lot of shifts going on. When you have these shifts you mentioned earlier, about getting a competitive advantage, a leg up on the competition, you guys had that same opportunity. Because the brand, pecking order of companies is going to change with these new waves coming. With data, certainly, so it's a huge opportunity. Do you guys talk about that when you're in the brand meetings, and you're talking about with the execs, the power of the brand, and building the brand? >> Sally: Absolutely. >> And what are some of the things you're focused on to help continue to build that brand? >> Well, I think where you're going with this is what's the financial impact or value that the brand has? And everybody, from our industry analysts, to the financial analysts, to our customers, partners, they put a value on the brand. So if you don't define who you are in the market, then you let everybody else define you, and then there's no value in that. So that's really what we set out to do last year, is we wanted to define who we were, and be proud of it, and take ownership of it. >> Put a stake in the ground. >> Yeah, and then continue to invest in that. So when I say we'll continue to invest in the brand, that is about our messaging, and making sure that we are very clear as to who we are, as I said, 'cause we're setting the pace for this industry. >> And the brand promise real quick, just to summarize, if you had to kind of sum up the bumper sticker for Informatica, Disrupt Intelligently, kind of add to that, what would be the brand promise to your customers? >> Yeah, so it's the Disruptive Power of Data. And then what falls out of that is Unleashing the Power of Data, right? So that's our brand promise to our customers, is that's what we were talking about earlier, that's exactly what we do for them with our technology, and how can we help them stay ahead of their competition? >> That's great, look at the trends too. Look at what GDPR's doing, and some of the block chain stuff that's kind of emerging, it's power to the people. People want to have control of the data. >> Sally: That's right, putting the control back in their hands. >> Great stuff, so thanks for coming on theCUBE. Appreciate it, great to see you, congratulations. >> Thanks, John. >> And great to have our fourth year, our fifth year with Anil, we saw him at Amazon re:Invent in 2014, so great to continue to watch you guys grow. It's been fun to watch. >> Great, good, well stay tuned, there's more to come for sure. >> Right, can't wait to hear. It's theCUBE live here at Informatica World, two days of coverage here. We're getting down to the second day. We've got more action coming; stay here with us. I'm John Furrier, Peter Buriss, we'll be back after this short break.

>> Narrator: Live from Las Vegas, it's theCUBE covering Informatica World 2018, brought to you by Informatica. >> Welcome back, everyone, this is theCube, exclusive coverage of Informatica World 2018, live in Las Vegas at the Venetian Ball Room here. I'm John Furrier, the host of theCUBE, analyst here at theCUBE, with Peter Burris, analyst and also my co-host these past two days. Our next guest is Bruce Chizen, who is the executive chairman of Informatica, one of the leaders of the company. Great to have you back, good to see you. >> Good, great to be here, guys. >> It's like an annual pilgrimage. We get together here, and hear the perspective. Also, we had Jerry Held on yesterday, board member, very senior in the industry. You guys are legends. You've been there, done that. You've seen how many waves, how many waves have you seen? >> Yeah, I was just sharing with somebody, I was at Microsoft in 1983, so I guess I go back a little while. >> You've seen a lot of waves. Okay, so this wave is interesting, because we were talking about the keynote and talking about the timing of how data, super important, there's no debate on the role of data, but timing in the industry, you got cloud, multi-cloud, you've got things like containerization, Kubernetes, you're starting to see that microservices model appear. The role of virtualization is not as prominent as it once was, given what's happening in the stack, but certainly, data is super-strategic. GDPR, this Friday, goes into action. So, shot across the bow with GDPR, data at the center. Explain the phenomenon. >> Yeah, so, look, what's happening is, more data is being generated today than ever before. I think Anil Chakravarthy, CEO, said this morning during his keynote, it's increasing twofold every six months. It's just an amazing amount of data that's occurring, both through data warehouses, as well as realtime data through things like IoT and other streaming types of mechanisms, and at the same time, every enterprise in the world is trying to figure out how to transform this business, leveraging that data, and that data exists across so many different platforms, whether it's on-premise, whether it's the cloud, whether it's a combination of both, whether it's multiple clouds. So, trying to homogenize all this data, or to be able to capture it and get it usable in one place for analytics, for decision making, is an incredible task. Fortunately, it plays into Informatica's strength. >> I want to get your thoughts on two dimensions to that, because I agree, that's all happening, but you add the pressure to scale with the cloud, okay, that is a huge deal, okay, as well as, build then new applications faster. So, this pressure, not just to kind of get it right in the data, you got to scale with the cloud, so there's a lot of big things being built out. >> Yeah, and it's not as simple as the cloud, it's the combination of leveraging on-premise workflows with the cloud, with new applications or new workflows, and how do you make sure you have data integrity between those two environments? And I'll add another layer to it, most enterprises don't want to be held hostage to one cloud infrastructure provider, and what you are seeing is, those enterprises leveraging multiple cloud infrastructures. So, between the data that's on-premise, the data that might be residing in Azure, data that might be residing in AWS, trying to make sure that there's one view of this data, and that it's secure, it's cleansed, it's of high quality, is a greater task than ever before. >> So, Bruce, let me build on that and see if you agree with this. It sounds to what you're suggesting is that we've got all this data, it's growing very fast, but we have to be able to do two things to it. We have to be able to organize it, and we have to turn it into objects or things that have business value so that we can generate returns on it, appreciable increasing returns on it. Is that kind of the centerpiece of what we're talking about here at Informatica World? >> Absolutely, and if you look at the quick success of the enterprise data catalog that was launched last year and the number of customers that have already adopted the platform, which really is a catalog of the metadata that sits across the data across the entire enterprise. The fact that so many customers have adopted a 1.O product that quickly is validation that they want to be able to leverage and take advantage of all of this data that's sitting in thousands and thousands of different entities within their own enterprise. >> So with your experience, you think the adoption's greater than what you've seen, but put it in comparison, compare the magnitude of that adoption. >> We expected a handful of customers to adopt it in the first year, we have hundreds of customers that have adopted it in the first year. >> John: So, well over the forecast. >> Well over our forecast. >> Well, they bought it. Are they adopting and changing the practices, evolving their organizations, imagining new ways of generating work, as a consequence of being able to discover and apply data faster? >> They know they want to analyze their data. They want to use tools like Power BI, tools like Tableau. What they haven't been able to do is use those tools as effectively as they would have liked to, 'cause they didn't a mechanism to capture all that data or to view all that data across their entire enterprise. The other challenge they had was there was no data integrity that existed, because the data in one repository was different than the data in a different repository. To be able to have one view of that data means that the information that they're analyzing is accurate, which didn't exist before. >> Alright, so what's next? That's table, not table stakes, but the first low-hanging fruit. Value proposition is, okay, I get a sense of the metadata, where is everything, so that's check. >> Yeah, so, there's two things in my mind, one is making sure that we make it easy for them to use any of the cloud platforms. So today, the company announced their relationship with Microsoft, with Azure, with Informatica's IPaaS running natively on Azure, in addition to what already exists with Amazon AWS. The second thing is to continue to add AI capability to that metadata, so instead of a person having to navigate and collect all of that information, is to use intelligence to be able to make sense of-- >> John: Machines. >> Machines. >> Streaming the data in faster, handling the volume. >> And being able to throw out garbage and use only what's really-- >> That's what I want to push you on, so everybody said, oh, we're going to apply AI, but they don't say what the AI is going to do, and I think specifically, as it relates to MDM, as it relates to catalogs, replaces some of these other things, it's identifying patterns, identifying inconsistencies in data objects, it's identifying how it feeds different workflows commonly. That kind of stuff. Are there other things that we're really trying to apply this AI to to improve data quality, data consistency, data flows, usability? >> It's going to do all of that, which is what was, it required a human to do in the past. In addition, as the machine, as the AI engine or the machine learns, the ability to do this more quickly is going to become apparent. So, with this massive amount of data being exposed, the last thing you want to do is to have the decision maker being slowed down. So AI is just going to speed it up significantly. >> Bruce, talk about the state of the company. Obviously, we've had Bruce on, we tried to get a little teaser out of him on what's going on with the board level, stock option, grants, so on and so forth. I'm only kidding. Obviously a valuable company, we've been watching it and covering you guys and pointing out, actually earlier on than others, the benefits of the data. Certainly it's become a very valuable private company. Once public, now private. You were involved in that journey, outcome for an offering soon, or bankers must be licking their chops, prospects, not saying when are they going public, I don't want to ask that question, but there's obviously a trajectory. What's the company's position, vis-à-vis the financial health and growth? >> Informatica will be one of those rare instances in the world of private equity, where a sponsor has come in and decided on a growth model top line revenue versus bottom line profitability. >> You mean shedding the parts? >> Shedding the parts, really squeezing the company for maintenance revenue, for cash. What Permira and CPP, the two investors, have done has really helped the company to continue to focus on growth. So, when we look at R&D expenditures, they're close to 200 million dollars, which is well above industry average as a percentage of revenue. >> So they came in to build the company. >> Came in to build it, and more importantly, grow it. It's exceeded our expectations, haven't determined a timeline to go public, there is a possibility you could see an offering sometime in 2019. >> And we talked with also Jerry and others yesterday about this notion of timing, right? Timing's everything in life. You couldn't ask for a better time to be the Switzerland, or whatever domicile you want to call that's neutral to multiple platforms. Certainly, the data layers' a nice position, you've got companies like NetApp underneath, having a nice layer, storage, so you've got the data fabric there, you guys are playing across multiple clouds. This makes it a unique opportunity. Now, why is this time for being the Switzerland of data important, and how should customers look at this timing of the movement for Informatica vis-à-vis the industry trend? >> Yeah, enterprises want to make sure they don't get held hostage to any one vendor. That happened in the past with the likes of an SAP for ERP. They don't want to fall into that trap. They want to be able to move their workflows between Azure, between AWS, between Oracle, and continue to have legacy workflows on-premise where necessary. So, they want someone, they want a provider who's going to provide them with a solution that's not biased and is not going to show any preference towards any one provider. Many years ago, I had the privilege of being the CEO of Adobe, and if you think about it, PDF, Acrobat, was the Swiss solution, or the Switzerland of documents. And the reason why PDF became so popular and became the standard was because nobody was comfortable with .DOC being that solution. The same is true-- >> Because of the incompatibility of the operating systems? >> .DOC, two reasons, one is nobody wanted to be held hostage to Microsoft, they already felt uncomfortable with Windows and Office. >> Ended up becoming hostage to Microsoft anyway, but that's all good. >> And, at the same time, .DOC showed preference towards a Microsoft environment. >> Peter: And it was the wrong technology. >> And it didn't work across platform. >> Exactly. >> In the case of Informatica, Informatica is the only scaled provider in the data business that has a solution that works across all environments, all vendors, all providers, hybrid, on-premise, cloud, multiple infrastructure providers. >> So, my summary of what everything you said Bruce is that Informatica today is a company that's going to help you organize your data, so you can put more data to work. >> Absolutely. >> Alright, Bruce, thanks for coming on. Great to see you, always a pleasure. We've got to do it again in the studio in Palo Alto, get you in, get some information out of you on what's going on with the public offering. (Bruce laughs) Great company, congratulations, it's been a fun ride, I can't wait to hear all the war stories when it's all said and done, great job. Switzerland of data here. At Informatica World, it's theCUBE, out in the open, sharing you the data here in Las Vegas. More live coverage, stay with us, Be right back. (techno music)