>> Announcer: Live from Las Vegas, it's theCUBE, covering VMworld 2017, bought to you by VMware, and its Ecosystem partner. >> Welcome back to theCUBE, we are live on day one of VMworld 2017, our eighth year here. Really excited to be here, I'm Lisa Martin with my co-host Dave Vellante, and we're very excited to be joined by our guest, Matt Waxman, CUBE alumni. >> Thanks for having me. >> You are the VP of Product Management at DELLEMC, welcome back to theCUBE. >> Thanks very much. >> And another CUBE alumni, Jason Buffington, Principal Analyst, but we're calling you the Expert Extraordinaire, the Vintage Expert Extraordinaire in Data Production. >> I love that, that's so cool. >> The B, double E, you'll have to change your business cards. >> I'm on it. >> So, so guys DELLEMC was just named in 2017, a leader in the 2017 Gartner Magic Quadrant for data center backup and recovery. How is the backup and recovery market changing as customers are moving from virtualization to the Cloud? >> That's a great question you know, I think data protection has never been hotter. As a market you know, you really, you talk to customers, whether they're on a Cloud journey, whether they're trying to simplify their infrastructure, whether they're trying to go to converge and hyper-converge, data protection is at the center of all of that, and I think we see that reflected right, in the way that we've evolved our product lines, our use cases are all tilting more and more towards how do we integrate data protection into the stack, into the flow? >> And you just had the big announcement this morning following along the VMware Cloud for AWS, tell us a little bit more about the data production element of that-- >> Yeah, we were extremely happy to be part of that announcement, and partnering really closely with VMware. It's been in the works for a long time, so it's been hard to keep it quiet, but you know, everyone that's moving their workloads to the Cloud, if they're going to move production apps, they need to have protection. And so we worked very closely to integrate the solution in. It's leveraging our data protection software, as well as our data domain and recover point capabilities in there, and it's, it's integrated right into the management stack, so it's super easy for customers to just turn on, pay by the drip, and go. >> So Jason Buffington, may you can set the context for monitoring this market for a long time, as we just established. When you look back at the virtualization trend, it exploded onto the scene, and it dramatically changed the backup requirements, customers said whoa, I have to change what I do, how I backup, my resources, rethinking backup, and you seem to see that again now with Cloud. So maybe take us back, and take us through this journey as to where we came from, where we are today, and what's changing in data protection as a result. >> Sure. The journey's actually pretty similar. Each time we've had a major platform shift, the first things that people typically do with a new platform is not go jump on with their most mission-critical applications. It typically starts with data protection right? Even invert 15 years ago, the first things to go on were not my mission-critical databases, it was you know, I'm not sure I want to run in production VM's yet, but I wouldn't mind failing over to it. Or I wouldn't mind putting test data into it, I wouldn't mind backing up to it right? And then what happened was, people started running in VM's and they said you know what, this stuff runs pretty well, they're in a recovered state, maybe I don't want to go back. Maybe I could run production apps in that virtualized state. And then we're seeing the same thing in Cloud, it's just happening at a much faster rate, where again, data protection using Cloud infrastructure is a great way to kind of test the waters, and dip your toe in, and people are seeing yeah, this stuff runs pretty well in the Cloud, maybe I could run production. And so that's kind of the context of where we are. I like what you said Matt, about every time that people have made those other changes, data protection's always been there. The way we try to describe it is, every time that you modernize production, you must also modernize protection right? So whether it's going to Cloud, whether it's N-Point or ROBO, or SAS, or IS, every time that your production infrastructure takes a leap up, protection has to be right behind that. And so this is just following that same curve. >> So one of the things that I found interesting Jason, in some of the, the stuff I wrote about you over the weekend was your research shows that availability, and data production are not ITs problem, it's a business problem. How do you, as a trusted advisor, work with companies to help align business and IT with respect to that, as Pat Gelsinger said this morning, as companies are moving from data centers to centers of data, what's that IT business alignment conversation like, and do you facilitate that? >> So it starts when everything turns into numbers right, so if you think about head versus heart right? The heart is that IT implementer. A lot of the folks that are here this week, and they're thinking about technologies, and widgets and features. But if you want to have a data protection conversation, and all you're talking about is RTO, and RPO, and those kind of things, that doesn't move upstream. That's not a business-level conversation. So when you can convert that into, what is my cost of down time? What is my cost of lost productivity? Think about the availability issues with lost customer confidence, and lost brand recognition. When you convert downtime, and business impact into actually something that's quantifiable from a head level, from that executive level, okay now this is a problem to be solved. Then we can have an honest conversation that what are the myriad of technologies you should be using to address that. But it starts with, get out of the weeds, get out of the system logs, and let's talk about the user experience, and the mandates around data. Then you can have a business-level conversation. >> Now Matt, your talking about data protection being a fundamental part of the infrastructure solution, as opposed to what I like to say, a bolt on right? For years data protection, and Jason you know this well. It was an afterthought. Oh, hey, we got to protect this app now, let's bolt on some, some backup software, or some other infrastructure. EMC and now DELLEMC as a company, has a vast portfolio, you acquired a lot of companies. So how did you go from... Convince us, how did you go from that bespoke set of products, to kind of the seamless, not a bolt on, but integrated part of the business? Maybe you can discuss that a little bit. >> Yeah, it's a great question, and you know, what I think it all starts with and ends with, is back to Jason's point about the business. It's the application right? And so getting closest to the data source, whether that is an off-the-shelf application, a mission-critical app, or whether it's a homegrown app, whether it's a Cloud native app, and on, and on, and on, and on you go. Getting really tight with that data source I think, is the lynch pin to a integrated data protection strategy. So that's, that's where we spent a lot of our time, is getting a lot of IP, a lot of automation, a lot of integration into the application stack. And that's where we've been able to really build that transformative approach to data protection. >> Another question I had is, you kind of have the incumbent's dilemma. You've got the big install base. And yet as these new waves come in, you have to adapt to them. You walk around the floor and you see, everybody's now talking about Cloud, and Multi-Cloud, and you know, all these new start-ups coming in. How do you keep pace with them from both a technology and a brand standpoint? >> Yeah, yeah I mean I think one of both the opportunities, and the challenges, and the data protection space is the breadth of it right? Because there's new applications that pop up every day. There's new infrastructure components, and from a protection standpoint, we've got to enable our customers to protect all of that. So how do you do that in a simplistic way? Having appliances right? We introduced an appliance back at DELLEMC World in May, which has been fantastic for us. Customers wanting to consume an outcome, as opposed to building it themselves. Delivering a Cloud service like the VMware Cloud on Amazon, where I can go to a service catalog, and just pick that protection level. I think that's the way that we see customers wanting to take all of the technology components, and start to consume them in ways that's a lot more aligned with their business needs. Agile right, scalable, so forth. >> Pow on to that one. I think one of the big challenges we're going to see when we talk about Cloud, and data protection, and this evolution moving forward from your evolution I think, is the right way to think about that is, every time we saw a platform shift in the past, there was always the presumption that you would mostly leave that last platform of IT behind, and you'd move to this new scenario right? So for the last 10 years, the question has been around how virtualized in your data center can you get right? And so there were two major problems to solve. How fast can you get the VM back up and running again? And how efficient can you hold that data? And so certainly from a DELLEMC perspective, day domain was part of that hero scenario. From a data center-centric virtualization story. The challenge with the Cloud story that we're moving towards is, it's not so much that we're going to leave the data center behind and move to the Cloud right? There's not one Cloud, you're not going to leave the data center behind, so there's not a single-hero scenario, like there was last time right? So some data is going to be in IAS, we saw that this morning in the AW (mumbles) announcements. Some data's going to be in SAS and that's totally okay right? Some data will still live one or more data centers, and so that means you have to have a data protection answer, actually you need to have a data protection answer to each and every one of those scenarios. How are you going to protect Office 365? How are you going to protect IAS-Hosted VMs? How are you going to do the best on Data Center, how are you going to do it on ROBO I mean, each one of those requires different arrows in the quiver, and I think that's the interesting challenge. What we've seen in the past is, every time that there's been this major platform shift, it kind of forces a reset of the leader board on the data protection vendors right? Because typically the secret sauce that you used last time, doesn't propel you forward. I think this time what you've got is, you've got, or DELLEMC has momentum right? Because they're the dominator from the last generation, and because we're not leaving the data center behind, that's a position of strength to build from, as opposed to in the past, you always leave the old guys behind, and some new startup's always seem to take over. >> Well, you've always been on the leader board, you know, I mean data domain at 90 or whatever, two-thirds of the purpose build backup appliance with your data protection software, you're always up there in the Gartner Magic Quadrants. What gives you confidence that you can ride this next wave, and stay there? >> Yeah, I mean from an innovation standpoint, these are areas we've been working on for literally years right, so Cloud for us, is not something that's brand new, we've been working, and had solutions out there for a number of years now. Same thing with hyper-converged right, when VxRail came to market, we were there, day one with data protection. So we've had a really strong pipeline I think, of innovation in these spaces. I think honestly, if I look at the next major wave of trend here, if you take the Cloud trend at a macro level, it's really about decentralization. How do you scale IT? Well, you start to push the ownership, and to a self-service model right, to the end-user, and data protection's going to go the same way Dave, you used the integrated word. Well, if I'm an end-user, I want to trigger my own protection copies, I want to recover them on my own. Self-service is the way to really scale IT. Data protection's following the same path. >> Excellent, well guys speaking of momentum, we wish you a very exciting event here. We thank you so much for joining, congratulations on the announcement. >> Thanks very much. >> Thanks for sharing your insights. And we want to thank you for watching for my co-host Dave Vellante. I'm Lisa Martin, stick around, we'll be right back from VMworld 2017. (alternative music)

>> Announcer: Live from San Francisco, it's theCUBE! Covering Informatica World 2017. Brought to you by Informatica. >> Welcome back, everyone. We're live in San Francisco for CUBE's exclusive coverage of Informatica World 2017. I'm John Furrier, SiliconANGLE. Our next guest, Anil Chakravarthy who's the CEO of Informatica, CUBE alumni multiple times, but the chief executive officer leading the charge of a great private company doing very well. Welcome back to theCUBE. >> It's great to be here, John. Thanks very much. >> We've got a couple of things to talk about, but I want to just jump in. Behind us you see the new logo, Informatica. Really kind of the last leg of the stool, if you will, you guys have gone private, >> Yep. >> Great product work over the years. You know I've been pretty complimentary of you guys, although we've had a critical analysis session yesterday. But all the big bets were very well done playing off. You've got a great product team, great leadership team, new CIO hire. But the last leg of the stool is the brand. >> Anil: That's right. >> You guys haven't been showboating much. Now you got to kind of brag and be humble about it and get the word out. New marketing program, what's that all about? >> Yeah that's exactly right. So you just said, the transformation that we are going through, three big steps is the transformation. The product portfolio transformation, we've been talking about that. This is all driven by cloud, by big data, and machine learning, and all of that. Then the transformation of the business model, from license to subscription and cloud services. And now the brand transformation. And we see the brand transformation as actually catching up to where the company actually was. We were just talking about that right before we got started. We actually have done a lot of things. Like for instance, did you know that we are doing 1 trillion transactions a month in the cloud? I mean, very few people knew about that. >> Yeah, what's more impressive on that, I found that out earlier it was 1 billion in January. >> Anil: It's unbelievable. It's-- >> I mean how do you do that? It's a growth hockey stick, straight up. >> It's a hockey stick, it's huge, it's huge growth, and that's driven by the fact that we are the leader in cloud data management for the biggest ecosystems, for Salesforce, for Amazon, for Azure, and that drives a lot of the data volume across the cloud. >> Before we get in the keynotes, on that note, one of the big bets you know I've been very impressed on is the cloud play, right? The data architecture of things, the winning formula. But you got cloud presses, you had Amazon Web Services. Google just announced span or horizontally scalable database, generally available. You were on the of the three data partners on the front end of that. >> Anil: That's correct. >> And part of the launch of Google. >> That's correct, yeah. >> I didn't know that. >> So you know, the way we think of the world is from our customer's perspective. It really is the best way to think about it is as the enterprise cloud. Put it together. All the data you have in the enterprise that you have generated over the years, that's still very valuable data. And then the data you have in the cloud. And you can't think of those two things as separate. For instance, you could have customer data, the same customer. John, you're the customer of a retailer. Some of that data about you is in their on-premises systems, and some of the data may be in a cloud system, but it is all interconnected data and you can't have two separate silos. We believe that we are the only ones that can really manage that. And that's why we are supporting every major cloud platform or cloud system, just like we are supporting every major on-premises system. >> Yeah, you guys call it Switzerland. It was a great way to describe it. But really to me it puts bigger than that, is that you guys make data ready. And that's really the value of what I call the tier two data layer that's building, where you've got stuff in memory, I get that, it's some odyssey streaming stuff, and things going on there. But now, then you have third tier, archive, but data tier two is just like all the data: IoT, structured data. That's growing, but the cost of storage is getting lower and lower. Now companies are incented to store. How is that impacting your business? We heard that at DellEMC World over and over and obviously they're in the storage business, but the tier two storage is significantly growing. >> Well data is still growing at over 25% a year. That's a huge number given all the way the size that you have, so it's going to be within by 2020, it'll be over 15 zetabytes, and a zetabyte, for those of you who are interested, is 10 to the 21. That's a huge amount of data. And what we're seeing is, the value comes from being able to first of all see your way through the data, being able to understand what data is valuable and what's not, and then connect the data. If you have customer data, product data, location data, et cetera, being able to put all of that together. That's really where the value comes from. >> So I've got to ask you about your keynote. You talk about the digital transformation's unfolding and data is the critical foundation for digital transformation. Okay, we've heard digital transformation. I mean, I'm not to say it's played, I know you guys have your theme, but this business transformation going on. So digital transformation is a known trend, but it kind of is played in my mind. I want to know what's different about Informatica now. Why is it unfolding now versus two years ago when we started talking about digital transformation? What's the most relevant thing now? >> Well I think the biggest relevance is, two years ago, as you exactly said, people were talking about digital transformation. Now they're doing digital transformation. Now you're seeing, you know, we talk about our own customers like Tesla or GE or Amazon doing it, but lots of other customers are actually doing the digital transformation. Now when you first take the first step toward the digital transformation, that's when you realize, my data, I got to fix the data foundation. If I can't have a data foundation, then I just, you know, everybody cares about a good customer experience. If I can't tell all the interactions a customer has with my company, and that data is in different places, there is no way I can provide a good customer experience because the customer knows what they're doing with me and I don't know what they're doing with me. And that's really the foundation for the data foundation. >> I want you to take a minute to just re-explain that because this is something comes up all the time and I get different answers and people have different definitions. What does it mean to have a digital data foundation and what are some of the impacts to the customers when they do have that? >> Think of it the simplest way. Let's say you have a customer and a lot of the new customers are like that. You are a bank, and you have a customer who doesn't want to talk to anybody. They only want to do everything through a mobile application. They want to file a loan application through the mobile, they want to check their balance through mobile, they want to deposit a check through mobile, et cetera, et cetera. If they have a problem, they might talk to somebody through a chat on a mobile, but they don't really want to talk to a live person. And this is, by the way, a common scenario now. Now they are doing probably 20 different things through the mobile. But when you get into your back end, that's the front end. You can put 20 things on the mobile, but the back end you've got 20 different things. But you have to have a single picture across those 20 things. When did the customer interact with us? What did they do? What is the pattern of that customer? How do you profile what the customer is doing? If you don't have that picture, everything that you do with the customer is going to just appear disconnected to them. It's going to frustrate them even more. And that's really the reason we have to have the data foundation. >> Okay, so, that's kind of a data layer, I get that, and believe me, horizontally-scalable data, making it accessible only helps the apps. The question to you is, your reaction to people saying, "Hey, Anil, I got to be innovative. "I got to free the data up and I got to let it grow "and you know a thousand flowers bloom, all this goodness. "But hey, I got to control it." So that's a huge issue. I've got governance, I've got compliance, there's laws now. So am I stuck in the mud? I want to be innovative and go fast, but now I've got to govern it and control it. How do you answer that question? >> You can do both now and that's the reason why we're announcing CLAIRE and all these innovations that we announced this. The advent of machine learning and metadata let's you do both. You basically say, look, I can use all these new technologies to find out what data I have. It's not going to slow you down. In fact, if you set up something like an intelligent data lake, because it has the metadata layer, you are actually opening up the data you have to the end user without having to come through IT for every piece of data, which means they can go faster. That's where the innovation happens. So you can do both. >> John: So it's a control catalog, basically. >> It's exactly right. It's a controlled catalog and you basically get to define different levels of trust. You can say, this data is curated data, it's trusted data and we can vouch for it. And maybe other data that's just shared collaboratively, and you can just flag it and then that way the user knows, okay here's data that I'm getting from a central system and this is what I need to use when I'm talking about something like revenue. And I'm tying something like a trend of what's going on. I might be able to use other data and that's the key there. >> Talk about the trend around CLAIRE. A lot of buzz here at the show. CLAIRE stands for clairvoyant. It's got the word AI in it. It's a name. SAP's got Leonardo, Salesforce has Einstein, all these different terms, but it's a clever way to point to AI, augmented intelligence, and machine learning. >> Anil: Correct. >> What does that mean for Informatica as a company? Certainly it kind of humanizes it. >> Anil: Correct. >> Shows the access of data should be democratized. What does it mean for you guys and the customers? How does that play out in your mind as the CEO? What do you see CLAIRE doing? >> Well the three big points I'll make about CLAIRE. First of all, when we built CLAIRE, we did not invent the artificial intelligence or the machine learning. A lot of that is already available. So we took a lot of the best algorithms in machine learning and applied them to metadata and applied them to data management. That's the secret sauce. It's not the building the AI itself, it's the use of the AI for data management. That's number one. Second, we defined CLAIRE very clearly and we said it's not a product. It's an engine, it's an AI-powered engine. In fact, I call for CLAIRE, I say it's cloud-scale, AI-powered real time engine, that's CLAIRE. Right, so it's an acronym, but it's the engine that powers other products. The third big thing is we're telling customers, you're going to get the benefit of CLAIRE, but you don't need to deploy CLAIRE. When you buy any of our products that are powered by CLAIRE or any of our solutions that are powered by CLAIRE, that will automatically come in there. So it means once you have any product like our enterprise information catalog or our secured source or data governance, you're starting to use CLAIRE and then you can use CLAIRE for other use cases as well. >> What's been the reaction? You know, and obviously you get nervous, CEO, probably got these things out there, probably wonder what the reaction is. What's your take on the reaction? >> People are very intrigued. I know that's what they, they look at CLAIRE and go, what is CLAIRE? How are you guys using it? I think people are asking us, tell us a little bit more about how AI is being used in the world of data and data management. So it's absolutely the reaction we wanted. >> So I got to ask you this question. I asked Mark Hurd the same question at the Oracle media day a few weeks ago. I want to ask you the same question. Everyone's number one at everything now. You guys are number one in six quadrants. Oracle's number one, the Dell E's. Everyone's number one at something. So the question really is, not so much about being number one, congratulations, you've got some magic quadrant wins that was highlighted in the keynote. But you guys are going through a transformation. You're telling your customers that they're going through a transformation. Wouldn't it make sense that the transformation scoreboard looks different than the old way? And I want to get your thoughts on this because, not that we have the answer, but there's one answer in customer wins, but as this new world transforms and unfolds, what's the scoreboard look like? How, because it's not as clean to say, this is the category, you're starting to see a little blending, as you mentioned how data is evolving. What's the new scoreboard look like? >> Is it the scoreboard for us or for the customer? >> John: You guys, the industry. How do I know if you're doing well? Obviously customer wins is obviously number one. >> Yeah, I think the best way to. I'll give you a couple of metrics, financial and nonfinancial, okay. From a nonfinancial perspective, as you said, a couple of key metrics. One is customers. How many new customers, how many new customers, reference customers do we have? Second one that you want to look at is just mind share or when people think about digital transformation, do they think of, hey, Informatica, they have a key role in my digital transformation. Just looking at mind share and so on, because that's a good leading indicator. In terms of the nonfinancial, or the financial metrics for us, obviously as more customers do what we call enterprise cloud data management, you're going to see our subscription revenue grow dramatically and you know, that's something that when you look at our subscription revenue, you'll see that impact of the enterprise cloud data management. >> And you guys made the move to subscription, obviously went private. Bruce Chizen and Jerry Held, your board members talked about this. You can do a lot of things 'cause it doesn't, it impacts the P&L but that it's still baking out, it's evolving, you're private, not public, but you want to get it right before you go public. >> That's correct. >> How do you feel about the progress on that front now? >> Oh we're making fabulous progress. We're very pleased with where we are. From my perspective, we are ahead of where we thought we would be by this time. I think customer buying behavior has converged really nicely with where we are in terms of where we want to go. So I think that's definitely been a big plus. >> Sally Jenkins, your new CMO, you got to feel good about her coming on the board-- >> Anil: Oh she's done a great job. >> High impact. She said on theCUBE that you guys are the hottest privately held pre-IPO startup. >> Anil: That's right. >> Twenty years in the making, whatever. I mean, but you guys are private. >> Billion dollar startup. >> But you act like a startup, which is why we like you guys a lot. You guys are like a very hustling like a startup. But now you're growing and you're getting beyond the 200 million, over a billion dollars now. When's the IPO coming? >> Yeah, I mean, you know look, I can tell you the factors that will be the lead to the perfect timing for the IPO. When those factors come together, I don't have a crystal ball right now, but I can tell you it weighs both on us and the market. From our perspective, we are making this big shift in the business model. We want to make sure that we can say, hey look, now the shift is very clear and stable and we can see where they where you know we'll be able to project out our own forecast for the next three, four quarters. So that's one key indicator for us. The second key indicator that we look at is the total revenue growth of the company and what percent of the growth of the revenue is recurring revenue for us. So we're going to be looking at those two factors. And of course from the market perspective, we want to make sure that the market wants to, continues to be. >> If you wait four years til we have a new president, and then heard all the politics from the Kara Swisher thing was, got a lot of people stirred up, in the conversation. But in all seriousness now, you also have private equity so you have to make the company worth money after they go public so you've got to have some growth left in you, right, I mean you guys are, you feel good about the? >> Oh we really do because you know, we look, that's where these six categories that we talked about make a lot of sense. You look at data integration, data quality, master data management, these are all categories that are well established. We know the patterns and we are seeing very good growth in those categories. Then you look at the new categories: cloud, big data management, data security. Those are all coming into their own right now. So that's why when you look at our portfolio, you go, wow, there are some that you already have great, well established and going well. These other ones, they're well established but they also have a lot of promise and future growth. >> Great chatting with you. You're a great, insightful, and inspiration. You guys have done a great job. But I've got to ask you the question because I think you have an interesting role. I mean, you have, you're acting like a startup, but you're not a startup. You went private from a public company. You've got a great board of directors. You've got Jerry Held and Bruce Chizen on there, but you've also got private equity sharks on the board. So, that's my definition, I won't say you said that. >> No, no, but I was actually in the private equity world, to my pleasant surprise, I've seen the whole spectrum of investors and our guys on the board are very much growth-oriented. They know that the value gets created for them through growth so it's well aligned. >> Yeah, but you're not sitting back having pizza and drinking wine. These PE guys, they're financially driven. >> Anil: That's right. >> So the question is, advice to other startups, whether they're venture backed or other companies going through innovation strategy. How do you manage the success of having such good product excellence? I know you've got good people, so that's an easy one answer. How as a CEO do you maintain the disciple to have the cadence of the financial performance? Because those guys look, they're probably not going to give you, hey how we doing? Numbers matter, but you're transforming technology and products. >> That's right, so what we do is-- >> How do you do it? >> We have a scorecard which has both the short term and the longterm metrics and we look at both of those. You know, we do monthly business reviews. So the pulse of the company has definitely quickened. We're operating at a new level of intensity. But when we look at the scorecard, it's not just the immediate financial metrics. It's things like, for example, are we building the back end infrastructure to be a subscription company? That doesn't get done in a month. >> John: That's an IT challenge, right? >> That's an IT challenge, a process challenge, it takes 12 months, 18 months, the kind of things that you talk with Graeme about. But that is an example of, you can have a scorecard. You don't necessarily have to look at a scorecard just for the short term metrics. You look at it for both short term and what makes you successful over the longterm. And that's, you know, that's what we're doing is just keep our eye on the ball, focus on a few things, both short term and longterm, and make sure we're doing them well. >> How about customer wins? To me, that's the scoreboard ultimately as we look at it at our team. How are you doing on customer wins? Can you share some, I see you have a lot of great customers. I met a few last night, obviously big wigs, big names. >> Anil: Yeah, exactly. >> What are some of the big wins look like and why are you winning? >> Well you know, we have 7,000 plus customers. We have a great customer base. Just at this show we've had 85% of our sessions here at the show have had customer or partner speakers. That gives you a sense of customers want to talk about us. A couple of ones that I would highlight for example, which are fairly recent for example, Amazon is one. They just spoke at the show and in fact the CMO of Amazon was here, Ariel Kelman. And he spoke about he is a customer of Informatica and how he's using Informatica for his own marketing systems and the marketing data analytics that he is doing. Another example is Tesla. You know, we talked about them at the show. >> I got a test drive on Friday with one. >> There you go, exactly, and then they are using us for the Tesla and the Solar City acquisition and driving synergies there. So lots of great examples. >> John: Tough customers, by the way, very, very finicky. >> Oh they are very demanding, very demanding customers and we are really proud to be serving them. >> Okay, final question, Anil. What's next? How do you look forward. Obviously this event, congratulations on getting the branding out. Peggy and the team did a great job. Sally and the team did a great job. What about next? What's next? >> Yeah, you know, what's next for us is simply work with customers to first of all get our story out, understand their priorities, and make sure that they understand that we can be a great partner for them. So we believe that this is the beginning of that journey. We talked about digital transformation and how we help them. Now we take the show on the road to our customers, make sure that we help them at their pace to transform. >> So bring the message out, build the brand. >> Absolutely. >> That's the key priority. >> And then continue. >> Product side, what's going on the products? >> Well on the product side, for instance, you saw a teaser of all the big trends. Machine learning, cloud, big data, security, all of these have full-fledged roadmaps that we're going to be working on over the course of the next six months. >> Anil, great to see you. Congratulations, you can tell, you're still intense. You've got the intensity, it's not going to stop by the way. >> Anil: No it's not. >> It's not like you're not going to get more intense as you guys grow. And congratulations. >> Thank you for having me on your show. >> We are here live in San Francisco for Informatica World 2017 with the CEO here, Anil Chakravarthy, inside theCUBE. I'm John Furrier. Thanks for watching. Stay with us for more coverage from Informatica World after this short break. (techno music)