from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape hi everybody welcome to this breaking analysis in this cube insights powered by ETR I'm Dave Volante and this episode is about data protection you might be saying Dave why are you gonna bore us with the conversation about backup well it's interesting the market is actually quite hot you know over the last 18 to 24 months there's been well over a billion dollars probably 1.3 1.4 billion dollars raised just from companies like rubric Kohi City Dhruva certo and a number of other startups like clew mio is a name you might not have heard of and I'm gonna mention a couple of others so you have the situation where these upstarts particularly rubric and cohesive er really challenging the install based players and they're spending a lot of money on marketing engineering and sales and they're going to market and they're really shaking things up and I want to talk about that dynamic share with you some ETR data and talk about some of the other players like veem who was you know a rocket ship because of the virtualization trend how are they faring in this kind of new market and why is this market gaining so much attention today and what does this mean for incumbents what does it mean for customers who can achieve escape velocity and what are some of the likely outcomes that we see the market is very confused right now if you look at the Gartner Magic Quadrant the and compare that to for instance the Forrester wave del EMC is not even in the Forrester wave the Gartner Magic Quadrant has rubric you know not as a leader and and it's just all over the place and so what I want to do is use some ETR data and some context from the cube to share with you our audience what we are seeing in the marketplace and kind of what it all means so let's get into it Alex if you bring up the first slide I first want to make a statement about the overall storage market the the ETR data set which is incredible doesn't drill down into backup although it does have pure play backup vendors in the data set so I want to start with storage because it's a it's the superset of the data protection market so what this chart shows is the all the sectors and it shows the net scores remember net score is they they ask every every quarter are you spending more you're spending less so he's spending the same they subtract the less from the more and that gives you net score so this is the net score for the three periods of October 18 survey July 19 survey in the October 19 survey and you can see the red line shows you know storage is kind of on the back burner yeah it's up ticking a little bit from previous surveys but it's got a next score of 18 that's crappy I mean it's not really a hot market and I've talked in previous episodes and breaking analysis as to why I really two main factors that I cited cloud guys eating away at the traditional storage array business and flash injected so much capacity and performance into the equation that data center managers are saying hey I don't really need any more storage right now so storage is kind of on the back burner you can see I blew it up here and you can see sort of how it's playing you see the hot sectors are analytics cloud computing container platforms data warehousing is is making a comeback I've talked about snowflake on previous breaking analyses machine learning and AI and new workloads robotic process automation even virtualization these are the hot sectors that are that are driving spending but I will tell you storage ultimately is going to be there it won't be down forever because people are always going to need storage these new workloads are gonna require new storage and obviously backup if you go to the next slide Alex you can see some of the vendors here so we've sort of established ok storage is is right now it's down it's not one of the hottest sectors but you can see there's some companies in here that are pretty hot rubric leads the list with a net score of 53 percent now the shared end might be a little hard for you to read here but the shared end out of the last survey 1,300 respondents from the ETR survey answered what there's you know spending intentions were and then the individuals mentioning specific companies in this case rubric 55 so it's kind of a small shared in you can see pure storage a company that we've talked about previously you know continues to to show strength you know 48.1% down slightly from you know the previous quarters but still really the only clear share gainer in the overall a primary storage market again rubric you can see Nutanix is up on the list veeam is actually quite impressive I'm going to show you some data in a minute that I think will impress you in terms of Eames continued staying power you see vcn on there sis goes on the list God knows why sis goes on the list their storage is not you know perceived as as leading but they do have offerings and Cisco so big people just kind of yeah we're buying from Cisco you see cookie City their little dip this past survey but still very strong again I'll show you some other data there you know etc so you can see that the point is even though storage is down there are a couple of shining stars like rubric like Nutanix pure storage veem Kohi City etc so let's let's dig into that a little bit before I do that I just want to share with you some trends on this slide with regard to the the backup market you know i underscore backup because it's no longer just the backup market its evolving so there's pressure on the overall storage market but but the data protection is actually really hot right now it's it's it's captured a lot of venture capital startups are moving in I'll mention a few that you might not have heard of why well several reasons one is the data explosion continues it's it's it's growing at an exponential rate and it's kind of nonlinear digital transformations are all about how you leverage data and so if you're making your business a data business in a digital business well you better have a way to protect it so things like ransomware are coming into play and people are really concerned obviously about ransomware so so data protection of evolves and expands sort of transcends back up into business continuity cloud and hybrid cloud are some other trends that I'll talk about in more detail that are driving opportunities for what we're traditionally known as backup and really now evolving into sort of these new areas last decade it was about moving from from tape to disc you know tape sucks that was kind of the data domain mantra and they were the hot company of last decade they got you know they did an IPO they reached escape velocity they sold for 2.5 billion you know but today you know the data domain platform that EMC bought and and now is Dell EMC is kind of old school right it's these new guys that are coming after that so so well well data domain pioneer data deduplication and higher performance back up moving to storage today it's a whole new conversation and people have come to the realization that the primary and active storage is only about 20% of the stored data all the all the less hot data I don't want to say inactive stuff it's not cold storage but it's files and objects and copies and replicas and and backups that's 80% of the marketplace today it's in terms of the volume of data not necessarily the spend you know OLTP stuff primary storage is expensive flash arrays expensive but huge opportunity especially in terms of data growth that's where all the data growth is happening all that unstructured data so today the conversation is evolving to data protection data management data assurance particularly with containers so you think about spinning up containers spinning down containers you know dozens hundreds thousands of containers how do you keep track of that stuff how do you protect that how do you assure that your data is not leaking that you're not exposed and so that's a really hot area that you're seeing a number of startups focus on so real focus on recovery becomes much more important for a digital business how fast can I recover security compliance this notion of data sharing CDM on this slide which is stands for copy data management a practice that was really popularized by actifi Oh DevOps really supporting DevOps through a data management platform being able to give live copies or near live copies of data so that you know tests can be tested on you know much more fresh data in that in compressing that cycle time analytics becomes more important I talked about ransomware before well you can look at the the backup corpus and do analytics on that to see if there are anomalies in anomalous behavior just in terms of bad actors coming in so all this stuff joined with cloud and hybrid cloud and is put a bridging the legacy business and it's bringing out a lot of new challengers to the incumbents so let's take a look at some of that data from ETR Alex if you go to the next slide this is the ETR data set on backup vendors so what I've done here is it is pulled out of storage the pure-play data protection folks so I can you know call in backup vendors they hate when they call them backup know we're much more than backup it's where data management now data management means a lot of things to a lot of people but but nonetheless they are expanding and transcending pure backup so so credit to them this is the net score timeline from January 2017 to the latest October survey from enterprise technology research and you can see here I've pulled our rubric cohesively veem CommVault and Veritas and rubric leads as they say with 53% net score followed by Veen 44% so you can see Veeam really hanging tough though he said he just relat relat of lis new to the survey jumped up jumped down a little bit in in this quarter you'll see that you'll see that in the et our data anyone get too freaked out about it I think he said he still got some some tailwind and cementum momentum as does rubric but look at Veen Dean's ascendancy came from really VMware they were the VMware specialists and they were all virtualized and now you know they do bare metal they're doing cloud and multi cloud and and and they backup you know office 365 and and and so that's the SAS platform but look at how well they've held up quite impressive there with Veen made have made a major push into the enterprise kind of pivoted back to SMB but still does a lot of business in the enterprise and you can see them showing up here what's relevant to me is that the the shared end in other words out of the 1,300 and the total survey how many are responding to these vendors rubric 55 relatively small veeam 155 much larger so a bigger install base cohesive 42 kind of just getting started in the ETA dataset CommVault 105 so carve-outs a 700 million dollar company and revenues on a trailing 12-month basis they get about a 2.2 billion dollar market cap they just bought hedvig they're moving toward a SAS model they launched a product called metallic they get a very very large install base you can see their net scores yeah we're there holding relatively well they're smaller obviously they're lower than those top three and then you can see Veritas Veritas is the big whale in the business they kind of mostly almost a pure play software company they do have an appliance but they really are the the leader a leader here and have had a big market they went private they got bought by semantics semantics didn't know what to do with them they fumbled around with it they did a private equity deal you know that was going okay but they had some management turnover a private equity you know squeeze them a little bit even though they made some investments in the platform and so Veritas has you know some challenges they have to serve the install base but at the same time they got to compete with the new guys and all the new guys cohesively and rubric in particular are attacking you know the veritas install base you know certainly CommVault and as well Dell and EMC you can't have a discussion really around leadership and backup and data protection without talking about Delhi and C they're so large so Alex if you go to the next slide you can see the net score for Dell EMC the N here is 348 much much larger than some of the other guys that I just mentioned I'm actually look at Veritas 97 even though I have a large install base so Dell EMC but here's the caveat this is all of Delhi MC storage so not just the pure play back up the previous slide I was showing you pure play data protection vendors this is all of Dell EMC so it includes all their primary stuff all their flash storage all their storage not the other parts of their business not the compute and analytics and other stuff just storage so I'm using this as a proxy okay so this is not Dells data protection business only and so what let me make some comments there and I'll comment on Dell data protection business you can see it came out of the downturn on the past 2009 big optic and Joe toots used to say we're gonna come out stronger we're gonna invest through the downturn we got the cash we're gonna come out stronger that's exactly what happened they came out very strong but then you know cash flow started to get squeezed they expanded their product portfolio it was like product du jour all these mega launches and it just got too confusing for customers Salesforce got confused they got less productive and any an Adele or EMC at the time was really relying on VMware it's the value in Dell and I'm sorry I keep saying Dell value in EMC at the time was really in VMware and you could see that kind of steady decline in the net score and that's what happened to Elliott management came in they squeezed EMC kind of forced him forced her hand and then Dell ended up taking in private let me make some comments about the Dell acquisition and specifically Dell emcs data protection business Dell MC took its eye off the ball in storage generally but specifically in the data protection business it fell behind it wasn't investing fast enough it had some management changes that put Beth Phelan in charge a couple years ago now and her task was okay sure she was tasked with shoring up this business so but they had to get some new products out they had to focus on you know some of the the lower end of the market and then have to refocus on the higher end of the market so they've really begun to get their act together again in in data protection and really refreshing the data domain piece of the portfolio bringing Alomar and data domain to get and becoming much more competitive having said that they lost some ground okay so they've got that same challenge challenges Veritas they've not only got the new guys coming at them with this modern you know data platform they've got to service the existing install basin it's going to manage that cash flow they're now a public company again so a lot of pressure on those guys I want to go back to the to the previous chart Alex if you will and then is the one that shows you know rubric cohesive veem CommVault and and Veritas the the pure plays there's some other dynamics that I want to talk to talk about here HPE exited the software business it's it's its course offer a business it's sold off the Micro Focus and as part of that it's sold off data protector when it did that it opened up a whole new partnership opportunity for these emerging companies particular cohesive and veeam are actually reselling through HPE HP he's got a massive channel and those two companies are doing very well there I said you can't talk about data protection without talking about Dell EMC same thing for IBM you got to talk about IBM IBM is a huge install base and IBM free but Tivoli years ago Frank Moss's company and then they served mainframes and it was this big complicated platform kind of still is and so IBM had to make a move so it it it was getting killed in the marketplace by Veeam in particular so it created spectrum protect Plus and an IBM is really gone after software-defined it's it's it's it's begun to modernize its platform going after containers as I mentioned is a hot area but it's still got that same problem it's got to service the install base and so they're sort of doing that balancing act but it definitely had to you know refresh the portfolio and it's done a good job there with spectrum protect plus a couple of the companies that I haven't mentioned Dhruva is getting into that whole data management space so cohesively and rubric kind of redefining back up into data management theme goes back to the basics really talks about backup in data protection data management as being the future so it's kind of Dee trying to deep position rubric and cohesive as as you know much more in the future and not here today and so they're sort of playing that marketing game and very effectively as you can see by its net scores again Dhruva hopping on the the data management day bandwagon certo kind of a dr replication expert Klum you know is calling BS and all these guys is saying we're going pure sass model and and Klum you know does a sass for pure sass pure software for just AWS small company but it's raised a bunch of dough it's raised about 50 million dollars I think but here's some other names you might not have heard of caste ni o Valero trillion ease guys are going hard after containers and what I referred to earlier as data assurance so the big question is who's going to be able to achieve escape velocity for the for the upstarts who's going to be able to hold serve for the the incumbents let me make a couple of comments on that I think storage eventually is going to bounce back as I say some of those hot emerging workload areas like AI they they're gonna need storage you know analytics is gonna be driving you know the need for these types of things security data surance data protection service storage will theirs don't bet against the data so storage will I think eventually you know bounce back and unlike compute where Intel makes all the margin storage is more like networking where you get really good margins it's a you know 60 Plus percent gross margin business pure storage has almost 70 percent gross margins cloud is the wild card here I predict you're gonna see the cloud vendors begin to dramatically expand you know their their portfolios and you know use beyond just gonna s3 simple object storage okay yeah we got elastic you know a block store EBS from Amazon you know Microsoft has you know the you know similar store just as Google they are gonna double down on storage they're gonna they're gonna look at storage as a bigger opportunity and that is a wild card it could you know continue to pressure the traditional storage guys but look let's face it it's a hybrid world still ton of stuff going on Prem so I think that that the the overall market will bounce back I think data protection as a subset and data management is going to grow faster it has some tailwind I think it's got an expanding Tam and those tail winds are digital data digital business security data assurance this new management capability that I talked about DevOps and contain a protection container platforms as I showed you earlier and the ETR data is one of the hottest areas going and I think you're gonna see some consolidation you saw CommVault bought Hedvig you're gonna see some exits veeam is now talking about doing an IPO it just took in a half a billion dollars in investment so its investors are gonna want an exit so are cohesive ease and rubrics which together have raised almost a billion dollars so you're gonna see some some M&A I think specialists like zero and and Dhruva are probably gonna be B targets I think you're still gonna see Dell become much much more aggressive kind of getting their act together the big incumbents IBM you know Veritas refreshing their portfolio again their challenge is the innovators dilemma so I do think you're gonna see some at least one maybe two the the favorites there would be cohesive near rubric is achieve escape velocity I don't think there's enough room for three to be like blockbuster IPOs that that that can survive long term but I think this data management thing has legs and we're gonna continue to watch it here thanks to you for watching thanks to our friends at ETR for sharing this data is Dave Volante for cube insights powered by ETR we'll see you next time

>>Live from Denver, Colorado. It's the cube covering comm vault. Go 2019 brought to you by Combolt. >>Hey, welcome back to the cubes coverage of combo go 19. Stu Miniman is here with me, Lisa Martin and we are wrapping up two days of really exciting wall to wall coverage of the new vault and we're very pleased to welcome a couple of special guests onto the program. To help us wrap up our two days, we have Miranda foster, the vice president of worldwide communications for comm vault and Al Bunty is here, the co founder, former COO and board member. Welcome Miranda and Al. Great to have you on the program. Thanks Lisa. So a lot of energy at this event and I don't think it has anything to do with our rarefied air here in the mile high city. Al, let's start with you. >>Well, there's other things in Colorado. >>There are, yeah, they don't talk about it. They talked about that on stage yesterday. So owl, you have been with convo ball as I mentioned, co-founder. What an evolution over the last 20 years. Can you take us back? >>Surely. So, um, yeah and it's been, it's, it's really kind of cool to see it coming together at this point. But if you go back 20 years when we started this, the whole idea was around data. And remember we walked into a company that was focused on optical storage. Um, we decided it would be a good company to invest in. Um, for two reasons. One, we thought they were really great people here, very creative and innovative and two, it was a great space. So if we believed we believe data would grow and that was a pretty decent thesis to go with. Yeah. And then, then it started moving from there. So I tell people I wasn't burdened with facts so I didn't understand why all these copies were being made of the same set of data. So we developed a platform and an architecture focused on indexing it so you just index at once and then could use it for many different purposes. >>And that just kept moving through the years with this very data centric approach to storage, management, backup protection, etc. It was all about the data. I happened to be lucky and said, you know, I think there's something to this thing called NAS and sand and storage networks and all those things. And I also said we have to plan for fur on scale on our solution of a million X. Now it was only off a magnitude of about a thousand on that, but it was the right idea. You know, you had to build something to scale and, and we came in and we wanted to build a company. We didn't want to just flip a company but we thought there is a longterm vision in it and if you take it all the way to the present here it's, it's really, um, it's, it feels really good to see where the company came from. It's a great foundation and now it will propel off this foundation, um, with a similar vision with great modern execution and management. >>Yeah. Al, when we had the chance to talk with you last year at the show in Nashville, it was setting up for that change. So I want to get your view there. There are some things that the company was working on and are being continued, but there's some things that, you know, Bob hammer would not have happened under his regime. So want to get your viewpoint as to the new Convolt, you know, what, what is, what are some of those new things that are moving forward with the company that might not have in the previous days? >>Yeah, that's a good questions. Do I think Mo, a lot of the innovation that you've seen here, um, would have happened maybe not as quickly. Um, we, the company obviously acquired Hedvig. Uh, we were on a very similar path but to do it ourselves. So you had kind of been a modern, we need to get to market quicker with some real pros. I think, um, the, the evolution of redoing sales management essentially was probably the biggest shift that needed to be under a new regime, if you will. Yeah. >>So Miranda, making these transitions can be really tricky from a marketing standpoint. Talk, talk us through a bit, some of the, how do you make sure trusted yet innovative and new that you've accomplished at this show? >>Well, trust it is obviously the most important because the Bob, the brand that Bob and Al built really embodies reliability for what we provide to our customers. I mean that's what gives them the peace of mind to sleep at night. But I'll tell you, Sanjay has been with us for just eight months now, February of 2019 and it's been busy. We've done a lot of things from a points on J transition with Bob and now to his point we've, we've acquired Hedvig, we've introduced this new SAS portfolio and you're exactly right. What we need to do is make sure that the reliability that customers have come to rely on Convolt for translates into what we're doing with the new Convolt and I think we've done a really good job. We've put a lot of muscle behind making sure, particularly with metallic that it was tried, it was trusted, it was beta tested, we got input from customers, partners, industry influencers. We really built it around the customer. So I think the brand that comm brings will translate well into the things that we've done with these, with these new shifts and movements within the company >>on, on that questions too as well. Um, I think Miranda is a good example of somebody that was with the company before a tremendous talent. She's got new opportunities here and she's run with it. So it's kinda that balance of some, uh, understood the fundamentals and the way we're trying to run the business. And she's grasped the new world as well. So, >>and Rob as well, right? Robin in his new, >>yeah, that's another good point. So that was all part of the transitioning here and Sanjay and the team had been very careful on trying to keep that balance. >>Change is really difficult anywhere, right? Dissect to any element of life. And you look at a business that's been very successful, has built a very strong, reliable brand for 20 years. Big leadership changes, not just with Sanjay, but all of the leadership changes. You know, analysts said, all right, you've got to upgrade your Salesforce. We're seeing a lot of movement in the area. You got to enhance your marketing. We're seeing metallic has the new routes to market, new partner focus, so PSI focuses. We're also seeing this expansion in the market, so what folks were saying, you know a year ago come on is answering in a big way and to your point in a fast way that's not easy to do. You've been here nine years since the beginning. Can you give us a little bit of a perspective, Miranda, about some of the things that were announced at the show? >>How excited everybody is, customers, partners, combo folks. How do you now extend the message and the communications from go globally after the show ends? That's an awesome question. I'm really passionate about this. So you know, Monday we announced metallic, we announced a new head of channels and alliances and Mercer Rowe, we had crazy technology innovation announcements with activate, with the acceleration of the integration with Hedvig with the momentum release that we put out today. We're also doing cool stuff with our corporate social responsibility in terms of sponsoring the new business Avengers coalition. That's something that Chris Powell is really championing here at, at the show and also within combo. So we're very excited about that. And then when you add people like yourselves, you know the tech field day folks, because not everybody can be here, right? Not everybody can be at go. So being able to extend the opportunity for, for folks to participate in combo, go through things like the cube through things like tech field day and using our social media tools and just getting all of the good vibes that are here. Because as Al says, this really is an intimate show, but we try to extend that to anybody who wants to follow us, to anybody who wants to be a part of it. And that's something that we've really focused on the last couple of years to make sure that folks who aren't here can, can get an embrace the environment here at Commonweal go. >>It's such an important piece that you're here helping with the transition I talked about. It's important that some of the existing >>get new roles and do responsibility going forward. What's your role going to be and what should we expect to see from you personally? Somebody has got to mow the lawn. >>Yeah. >>But yes, do I, I'll stay on the board. Um, we're talking through that. I think I'll be a very active board, not just the legal side of the equation. Um, try and stay involved with customers and, and strategies and, and even, uh, potential acquisitions, those kinds of things. Um, I'm also wandering off into the university environment. Uh, my Alma mater is a university of Iowa. I'm on the board there and uh, I'm involved in setting up innovation centers and entrepreneurial programs and that kind of thing. Um, I'll keep doing my farming thing and uh, actually have some ideas on that. There's a lot of technology as you guys know, attacking Nat space. So, and like I said, I'll try to keep a lot of things linked back into a combo. >>What Al can have confidence in is that I will keep him busy. So there's that. And then I will also put on the table, we agree to disagree with our college athletic loyalties. So I'm a big kid just because we don't compete really. Right. So I mean, but if I won Kansas wherever to play, then we would just politely disagree. Yeah. Well that's good that you have this agreement in place. I would love to get some anecdotal feedback from you of some of the things that you've heard over the last three days with all this news, all these changes. What are you hearing from customers and partners who you've had relationships with for a very long time? >>I think they're, I think they're all really excited, but, and maybe I'm biased, but they liked the idea that we're trying to not throw out all the old focus on customers, focus on technologies, continue the innovation. I'm pleased that we, Miranda and the team started taking this theme of what we do to a personal level, you know, recovery and those kinds of things. It isn't just the money in the business outages. It's a really a effect on a personal lives. And that resonates. I hear that a lot. Um, I asked our bigger customers and they've loved us for our support, how we take care of them. The, the intimacy of the partnership, you know, and I think they feel pleased that that's staying yet there's lot of modern Emity if that's a good word. I think fokai was what you, I think it's the blend of things and I think that really excites people. >>We've heard that a lot. You guys did a great job with having customers on stage and as a marketer who does customer marketing programs, I think there's nothing more validating than the voice of a customer. But suddenly today that I thought was a pivot on that convo, did well as Sonic healthcare was on main stage. And then he came onto the program and I really liked how he talked about some of the failures that they've been through. You know, we had the NASA talking yesterday, NASA, 60 years young, very infamous, probably for failure is not an option, but it is a very real possibility whether you're talking about space flight or you're talking about data protection and cyber attacks and the rise of that. And it was really, I'd say, refreshing to hear the voice of a customer say, these are the areas in which we failed. This is how come they've helped us recover and how much better and stronger are they? Not just as a company as Sonic healthcare, but even as an individual person responsible for that. That was a really great message that you guys were able to extend to the audience today and we wanted to get that out. >>I loved that as well. I think that was good. I have also back on driving innovation, I always felt one of my biggest jobs was to not punish people that failed. Yeah. I, you know, with the whole engineering team, the bright people in marketing, I, I would be very down on them if they didn't try, but I never wanted them to feel bad about trying and never punish them. >>And one of the things Matthew said on main stage, first of all, I love him. He's great. He's been a longtime CommonWell supporter. I love his sense of humor. He said, you know, combo came to me and said, can you identify, you know, your biggest disaster recovery moment? And he was like, no, because there's so many. Yes. Right? Like there's so many when you're responsible for this. It's just the unpredictability of it is crazy. And so he couldn't identify one, but he had a series of anecdotes that I think really helped the audience identify with and understand this is, these are big time challenges that we're up against today. And hearing his use case and how con ball is helping him solve his heart problems, I think was really cool. You're right. I loved that too. He said, I couldn't name one. There are so many. That's reality, right? As data proliferates, which every industry is experiencing, there's a tremendous amount of opportunity. There's also great risk as technology advances for good. The bad actors also have access to that sort of technology. So his honesty, I thought was, was refreshing, but spot on. And what a great example for other customers to listen to the RA. To your point, I, if I punish people for failure, we're not going to learn from it. >>Yeah, you'll never move forward. >>Miranda. So much that we learn this week at the shows. Some, a lot of branding, a lot of customers, I know some people might be taking a couple of days off, but what should we expect to be seeing from con vault post go this year, >>continue to innovation. We're not letting our foot off the gas at all. Just continuing innovation as as as we integrate with Hedvig continued acceleration with metallic. I mean those guys are aggressive. They were built as a startup within an enterprise company built on Comvalt enterprise foundation. Those guys are often running, they are motivated, they're highly talented, highly skilled and they're going to market with a solution that is targeted at a specific market and those guys are really, really ready to go. So continued innovation with Hedvig integrate, sorry, integration with Hedvig with metallic. I think you're just going to be seeing a lot more from Combalt in the future on the heels of what we consider humbled, proud leadership with the Gartner magic quadrant. You know the one two punch with the Forrester wave. I think that you're just going to be seeing a lot more from Combalt and in terms of how we're really getting out there and aggressive. And that's not to mention Al, you know what we do with our core solutions. I mean today we just announced a bunch of enhancements to the core technology, which is, which is the bread and butter of, of what we do. So we're not letting the foot off the gas to be sure >>the team stay in really, really aggressive too. And the other thing I'd add as a major investor that I'm expecting is sales. Now I'd love to just your, your final thoughts that the culture of Convolt because while there's some acceleration and there's some change, I think some of the fundamentals stay the same. Yeah, it's, it's right to, and again, that's why I feel we're at a good point on this transition process. You alluded to it earlier, but I feel really good about the leadership that's in, they've treated me terrifically. I'm almost almost part of the team. I love that they're, they're trying to leverage off all the assets that were created in his company. Technology, obviously platform architecture, support base, our support capabilities. I, I told Sandy today I wish she really would have nailed the part about, and by the way, support and our capabilities with customers as a huge differentiator and it was part of our original, Stu knows he's heard me forever. Our original DNA, we wanted to focus on two things. Great technology, keep the great technology lead and customer support and satisfaction. So those elements, now you blend that stew with really terrific Salesforce. As Ricardo says, have you guys talk with Ricardo soon? But anyway, the head of sales is hiring great athletes, particularly for the enterprise space. Then you take it with a real terrific marketing organization that's focused, Oh, had modern techniques and analytics on all those things. You know, it's, it's in my opinion, as an investor especially, I'm expecting really good things >>bar's been set well. I can't think of a better way for Sue and me to our coverage owl veranda. Thank you. This has been fantastic. You've got to go. You get a lawn to mow, you've got a vacation to get onto and you need some wordsmithing would focus your rights. You have a flight ticket. They do five hours. Hi guys. Thank you. This has been awesome. Hashtag new comm vault for our guests and I, Lisa Martin, you've been watching the cubes coverage of Convault go and 19 we will see you next time.

>> Announcer: Live from Miami Beach, Florida It's theCUBE! Covering UiPathForward Americas. Brought to you by UiPath. >> Welcome back to South Beach everybody. You are watching theCUBE, the leader in live tech coverage. I'm Dave Vellante, Stu Miniman is here. This is UiPathForward Americas. UiPath does these shows all around the world and they've done, I don't know how many. But they've reached 14,000 customers this year. But Bobby Patrick knows, he's the CMO of UiPath. Bobby, great to see you again. >> It's great to be on again. >> So, how many of these events have you done in the last 12 months? >> We've probably done a dozen, all major cities. We still have Beijing and Dubai coming up. Over 14,000 people at our events alone. We go to a lot of other industry events obviously, but yeah, at our own events, every single event we break our records. We're always undersizing our events, it drives everyone nuts. >> You're always riding the wave, Bobby. You hit Cloud, right as the wave was building. How did you find this company? >> Yeah, so I was the HP of Cloud, they were, split assets off and took a little time, got a call and robotic process automation. Of course, I thought of physical robots. I look online and say wow that's interesting. I did some search terms on it and I saw RPA kind of sky rocketing in search and my background is actually in integration, data integration before Cloud. And then I met Daniel and I fell in love with Daniel and this was a year ago. I was employee 270, right? We'll have 2,000 by the end of the year. So, it's been everything I expected which was a rocket ship, has completely, constantly I've underestimated, it's amazing. >> So, you're the one who turned me onto this whole space. You sent me the Forrester Wave, >> Bobby: Right >> Where it was last year's and you guys were third this year, you leapfrogged into first. >> Bobby: Right. >> And then we said wow that's kind of cool. Let's download this and play with it. And we tried to download the other ones but we couldn't. You, know it was kind of too complicated. They wanted us to talk to resellers and, it was like, no no no. you guys were, like, really open. >> Bobby: It's part of our culture. >> And we found it super simple to use. It was, one of our guys wasn't a coder. Smart dude, but it was low code, no code type of situation. You were explaining to me at Legal Seafoods last week that you actually have written some automations. So, it's pretty simple to get started but there's a spectrum, right, and it's pretty powerful too. >> Yeah, it's an epiphany that hits everybody. This is the part where I see it, even in myself, when I realized every morning I was getting up and going to Google Trends and I was looking at us versus Automation Anywhere versus Blue Prism and we're pulling away. It's great, I'll get happy in the morning and I'll screen shot it and then I'll go to Slack and send it to the comp team. Why am I doing this? So, in 20 minutes now I have a robot everyday, every morning that does it for me. And I get a text and I get an email. We have, in marketing, a dozen of these. I've got one that does our Google Ad Words around the world. I've got one that takes all of our 30,000 inbound new contacts a month, in different languages, translates, finds out what country they are in, and routes them to the right country. These are simpler examples, but once you realize that anything you do that's routine and mundane that a robot can do for you. It brings, it makes you happy first of all, right? And you realize the vision we have for a robot for every person, its a very realistic vision and its two, three years out. >> Bobby, one on the things that has really interested me today is talking about what this means for jobs and careers. Dave and I were at Splunk earlier this week, talking about Splunkers, data is at the center of what they do and everybody comes to them, how do I leverage my data? I did operations for a bunch of my career and I'd spend lots of time with my team saying, what do you hate doing, what are you manually doing? What can you get rid of and there's a collaboration between, I hear, that your customers. It's not just oh some consultancy comes in and they cut something away and they took it away from you. Oh no wait, you're actually involved with this, it seems like an ongoing process and you're making people's jobs better. Can you talk a little about that dynamics of how this transforms a company? The vision for, I hear from UiPath, is that you're going to change the world. >> Yeah, so you have to sit in, you're talking about the future of work, or digital, you have to sit in a conference room and watch a bunch of workers sit around and I'll give you an example. At DISA, big federal government agency, federal government has lifetime workers, right? In the room, where 30 workers, who everyday download assets and then they compile them and then they analyze them. They have their best, fastest kind of human go against the UiPath robot that they automated. In 15 minutes, the human downloaded two assets or archives and the robot did 17. The entire room of 30 cheered! Cheered. No longer do we have to do that crap ever again. And this is, we see this in every industry. It's so much fun because you see just, people just radiating with excitement, right? Because, I was out with a customer today that says they can't even fulfill today with the humans they have, the 25% of the work they got. So, your robots are creating capacity, they're filling the void. You probably heard about Japan, right, and the aging population? And RPA and UiPath addressing suicide rates. This about making society better. This is about robots doing the work that we hate, right? One of our great customers, Holly Uhl from State Auto, said on stage that, you know, robots do the work nobody misses. And, I think that's trivial. Now what about job impacts, right? So, we worry everyday about what this means, right? So, we spend a lot of time on our academy, making it easier to train people, build digital era skills. We announced our academic alliance, right? We hired an amazing Chief of Learning Officer. You saw Tom Clancy. You know him and his team. We're going to train a million students in three years. You know, we're worried about the middle class. We're worried about people who are farther along in their careers and helping them re-skill. So, we take that as a part of our job as a company to figure out how to up-skill people and make them a part of this. And I'm really excited because a year ago when I joined, everybody said, the big problem you have is people going to worry about taking away jobs. I don't hear that from the 1500 customers in here today. >> Well, isn't a part of that re-skilling? Learning how to apply automation, maybe even learning how to apply RPA? Maybe even doing some automation? >> Yeah, so obviously there is-- World Economic Forum came out two weeks ago with a study that said, automation will add net 60 million jobs, I think that was for the people that losses, it will two x gains in jobs. Now those are different jobs in some cases. Some of those jobs are digital era skills, some of those jobs are AI, data science. So, I think that there's... But there are some cubicle jobs that will be affected, right? There are some swivel chair jobs that will be affected, but no different than when they automated toll booths, right? Or automated different parts of mundane work that we've all seen throughout our lives, right? So I think the speed at which this is happening is what worries people. Unlike, in the past, it took a little longer for automation or industrialization to impact jobs. But we're focused on this, right? We're going to put money towards this and we're just not seeing that today. Maybe it's because the economy is doing so great. People have a workforce shortage, but we're just not hearing it. >> Well, I mean, maybe a number of factors. I mean, there's no question, machines have always replaced humans. This is the first time in history of replacing humans in cognitive functions. >> Bobby: Augmenting >> Yes, absolutely, but It does suggest that there's opportunities for whether it's for education, you guys are investing there, training, and re-skilling whether it's around creativity and that's really where the discussion, in our view anyway, should be. Not about, okay lets protect our future, the past from the future. You don't want to just repave the cow path and use another bromide. You got to move forward and education is a key part of that. And you guys are putting your money where your mouth is. >> Yeah, we are and I think our academy that we launched a little over a year and a half ago has a quarter of a million people in it. They are already diplomas on LinkedIn. I watch everyday, people post their new diplomas, the different skills they've earned, right? Go through the courses, it's free. Democratization runs at the heart of this company, it's why we're growing so much faster than at automation anywhere, right? It's why we are a different kind of company. They're a very commercial minded kind of company. They're a marketplace, you have to be a customer. If your URL when you type in your email isn't a customer, you can't go to their store and do anything. We're free, open, share your automations and it's a very different mindset and community runs at our heart. If you're a small business, you know, under a million dollars, you get to use our software for free. And you can run your robots and we have one of our orchestrators run a manager. So, I think all of this is helping get companies and people more comfortable with our technology. There are kids and students now, we had University of Maryland up here. The professor, he's building whole classes now at the University of Maryland. All in the business school, all using our technology. Every student should have a robot, through their entire career, through their entire time at University of Maryland. That's every university, this is going to go so fast, Dave and Stu, so fast. And when I think back again, a year ago, I mean next year when we do this again, right? At our big flagship event, at three or four thousand people, you'll have felt that progression but the year I've been here, it's night and day already. >> Alright, so Bobby you know we're big fans of community. The open source stuff, you've for a long background in that. Help us put together some of these stats here. When I looked in your keynote, you said there's 114,000 certified RPA developers out there across the globe. 139 countries, 250,000 people have downloaded. You've only got at UiPath about 2,000 customers. So, you know, we talk business model and how your business grows, the industry grows, you know? Help us understand that dynamic. >> These are going to go exponential. So, we have large companies now that are committing to deploy UiPath to every employee. Every employee becomes a user then, so you're going to see that user number go like this. While the enterprise customer number goes like this. We're adding six new customers a day right now. The real opportunity for us is every one of our customers, very few are down their journey like an SMBC is. SMBC, RPA is in their annual reports, right? They say 500 million dollars already, right? It's a societal thing. They actually in Japan share together, to help each company. Here, in the U.S., we're a little competitive, right? Banks don't share with other banks typically, right? But, this is kind of what we're driving. It's, when you make an automation at UiPath. While we're not open source as a platform, the automation is open source. You put it on go, I can take that, you can take that. I had the same kind of problem. Put in the studio right away, modify it a bit and you're good to go. Now you've sped your implementation which is already fast by 70, 80, 90%. This is, we're just getting started. So, you're going to see companies adopting across HR, across supply chain, contact centers, you know. Today we're, for the most of our customers we're in one division. So, the opportunity to grow within a company, where we were barely 5% penetrated in our biggest client. >> And you've seen my prediction. A lot of the market forecast are under counting this space. >> Bobby: Right. >> There is a labor shortage, a skilled labor shortage There's more jobs than there are people to fill them. They don't have the right skills today. There is a productivity problem >> Bobby: Right. >> Productivity line is flat. RPA is going to become a fundamental component of digital transformations. It's about a billion dollar business today. I got it pegged at 10X by 2023. >> Craig at Forestry upped his guidance today, he may have told you all, to a 3.3 billion dollar market in 2021. Now I was a little disappointed, it was 2.9 before. I think he's still way under shooting it. But nevertheless, to grow 10% in one year, in his mind, is still pretty big. >> Yeah, a lot of those market forecasts are kind of linear. You're going to see, you know, an S curve, like growth in this market. I think there's no question about it. Just, in speaking to the customers today, we've seen this before in other major industry trends. We certainly saw it at ServiceNow, we saw it at Splunk, we saw it at Tableau. UiPath feels like a very similar vibe here. In Tenex, when we did the show here. I just feel an explosion coming, I already see it. It's palpable. >> One other reason for the explosion which is a little different than say most of the open source tech companies is that they were in IT sales. You don't have to use code to automate your tasks, right? The best developers for us are actually the subject matter experts in finance, in supply chain, in HR. So suddenly we've empowered them. Because IT everywhere is constrained, right? They're dealing with keeping systems current. So suddenly this these tools of software is available to any employee to go learn and automate what they do. The friction we've removed between business have to go to IT, IT be understaffed, IT have to get the requirements. All that's gone! So you create robots overnight, over the weekend. And make your life better. Again, most of the world still does not understand what's going on. I mean you can feel it now. But it's an epiphany for anyone when they see it. >> Well the open mindset that Daniel talked about today, he said, you know our competitors are doing what we do and that's okay. The rising tide lifts all boats kind of thing. That puts pressure on you guys to stay ahead of the pack. Big part of what Tom Clancy is doing is the training piece. That's huge. Free training. So you got to move faster than the market. You're confident you can do that. What gives you confidence? >> I think, one, is our product is simpler to use. So I think, you know, you go to Automation Anywhere and you need the code, right? You don't have to code with our design tool. We're told, we're about 40% faster to implement. And that's, look at the numbers. We shared our numbers again today. 100 million we announced in July 1st, for our first half of in ARR, 140 now, right? We are telling our numbers, we're open and transparent. Our competitors, well Blue Prism is public, right? We know they're growing slower. Another difference is the market, requirements are not created equal. Blue Prism only works in an unattended robot fashion, only in the back office. So, if you have front office automation, with call centers and customer service, they don't have the concept of an attended robot. You know, this idea of so, they lack the ability to serve all the requirements of a customer. I, think, it's just architecturally, I think what we're seeing in terms of simplicity and openness. And then market coverage very different then either Automation Anywhere or BluePrism. >> Alright Bobby, let me poke at something. So, if I look at, you came out this morning and said accelerate everything. One of the concerns I have is say okay, if I take existing processes, a lot of the time if you look at them, they're not ideal. They were manual in nature, it's great to do that but, how much do you need to wait and revisit and get consultants in to kind of fix things rather than just say oh okay. Faster is better for some things but not necessarily for all things unless you can make some adjustments first. >> You don't want to automate a bad process, right? So, we're not encouraging anyone to do that. So, you see a combination of... One thing about RPA is which great, is you don't have to go in and say, I'm going to go do procure to pay like Traditional IT guy. And so you can go into that process and say, oh look at all these errors, these tasks, these sub processes, these tasks. Where this huge friction and you can go automate that and get huge value. >> Almost like micro services. >> Yes, exactly. You're able to go in and that's really what people are doing. On the more ambitious projects, they're saying I'm also going to go optimize my process, think differently. But the reality is, people are going in, they're finding these few parts of a bigger process, automating it, getting immediate outcomes, immediate outcomes. And paying back that entire project in six months, including the fees on extension or PWC or other. That doesn't exist anywhere in technology. That kind of, you know, speed to an outcome and then payback period. It just doesn't exist. >> Well, the fact that the SIs are here. Yeah, we heard 15 day payback today. Super fast, ROI. The fact that the big SIs are here, especially given the relatively early days says a lot about the potential market size. I always joke, those guys like to eat at the trough. This is big business and it's important for you guys because they're strategic, they're at the board level. You need the top down support, at the same time, it sounds like there's a lot of bottom up activity. >> Bobby: Right. >> And that's where the innovations going to come from. What's next for you guys, you taking this show on the road again? >> Right, so the next Forward is in London. So, we had one in Europe and one in the U.S. We do what we call togethers, which is more intimate. Or all around the world, which are country specific or industry. I mean, we're going to go and call it the Automation First Tour. And we're going to go start our next tours up all through next year. Hit all the cities again, probably three times this size, each city. You know, I looked at Washington D.C. with federal government, we started federal government in January. Federal government for us next year should be a 60 million software business. For our partners, give them 6, 8, 10X on services on top of that. That's meaningful, that's why you see them here. That same calculation exists in every vertical and in every country. And so it's good for our partners. It's great, we want them to focus on building their skills though. Getting good skills and quality. So, we do a lot with them. We host a partner Forward yesterday with 500 partners, focusing on them. Look, we are investing in you, but you got to deliver quality, right? So, I think we amplify everything we did this year because it worked for us well. We amplify it big time and Forward in a year from now, whether it's Vegas or Orlando or we'll announce it soon, willl be substantially larger. >> Well, any company that's digitally transforming is going to put RPA as part of that digital transformation. It's not without its challenges but it's a tailwind. You better hop on that wave or you going to end up driftwood as Pat Gelsinger likes to say. Bobby, thanks so much. >> Bobby: Thank you Dave. >> Thanks for having us here. This has been a fantastic experience and congratulations and good luck going forward. >> Thank you. >> Alright guys, that's a wrap from here. This is theCUBE. Check out theCUBE.net Check out SiliconeANGLE.com for all the news. Cube.net's where all the videos are, wikimon.com for all the research. We are busy Stu, we're on the road a lot. So again, look at the upcoming events. Thanks for watching everybody. We'll see you next time.

>> Narrator: Live, from Miami Beach, Florida it's theCUBE covering UiPathForward Americas. Brought to you by UiPath. >> Welcome back to Miami everybody. You're watching theCUBE, the leader in live tech coverage. I'm Dave Vellante with my cohost Stu Miniman. We got all the action going on behind us. We are seeing the ascendancy of Robotic Process Automation, software robots. one of the leader's in that industry, one of the innovators, Daniel Dines is here, he's the founder and CEO of UiPath. Hot off the keynote, Daniel, thanks for coming on theCUBE. >> Daniel: Thank you for inviting me. >> Dave: You're very welcome, so, the great setup here, the Fontainebleau in Miami's an awesome venue for a conference this size; about 1500 people. In your keynote, you talked about your vision and we want to get into that but, go back to why you started UiPath. >> Daniel: I started UiPath to have joy at work, to do what I like, and to build something big. >> Dave: And you're a Developer, right? I mean you code-- >> Daniel: I am a Software Engineer. >> Dave: I mean, I can tell by the way you're dressed. (laughter) Developer CEO. >> Daniel: Yeah. >> Dave: Yeah, okay, so but you have a vision. You talked about a robot for every person. You mentioned Bill Gates, the PC for every person. I said a chicken for every pot, Harry Truman. What is that vision? Tell us about it. >> Daniel: Well, in our old day they work, we do a lot of menial stuff, repetitive, boring stuff. It's-- that is not human-- it's not human-like. Why not having this robot that we can talk to, we can command and just do the boring stuff for us? I think it's no-brainer. >> Dave: Right. >> Daniel: We just didn't think it's possible. We showed with our technology this is possible, actually. This is an angle of automation that people didn't think it was possible before. >> Dave: Well, so I neglected to congratulate you on your early success, I mean, you said one of your tenants is you're humble. So you got a lot of work to do, we understand that. But you've raised over $400 million to date, you just had a giant raise, we had Carl Eschenbach on in our Palo Alto studios. He was-- he was one of the guys in the round. So that's confirmation that this is a big market, we've pegged it at around a billion dollars today, 10x growth by 2023, so very impressive growth potential. What's driving that growth? >> Daniel: It's all from the customers. When they see it working, it's a "wow," it's different, they won't go back to the same way of delivering work. It's changing how people really work. You see people becoming joyful when we show them the robot, and they say, "I don't need to do this stuff anymore? Wow." Imagine people doing the same reports every day, going through hundreds of page and clicking the same-- this is, this is nirvana. >> Dave: And we saw customers, UnitedHealth was on stage today, Mr. Yamamoto has a thousand robots, Wells Fargo's up there, you had some partners. So you're doing that hard integration work as well. Stu, you noted that the global presence of this company was impressing you. You're thoughts on that. >> Stu: Yeah, absolutely, I mean first of all, company started in Romania, we had-- you know you don't see too many American keynotes where there's a video up there in a foreign language. It's Japanese with English subtitles, you've got customers already starting with a global footprint. What's it like being a founder in a start-up from Europe playing in a global marketplace? >> Daniel: Well, actually it help us to become-- we've been born global. We are one of the first start-ups born global from day one. We've been this company, with Japanese talent, Indian talent, Romanian talent, American talent. And being from this remote part of Europe help us... think big, because really are-- we cannot build this start-up only with Romanians. That's clear, we don't have the pool of talent. So why not just go in global, get the best talent we can and spread global? And we are one of the few companies in the world that has their revenue split equally across the three big continents. >> Stu: Yeah, Daniel, the other thing that struck me-- you're growing the company very fast. We talked about the money, but you said you're going to have over 4,000 employees by 2019. You know, I play a lot in the open source world, it's often small-team, you've got to go marketplace, how come you need so many employees for a software company? Maybe explain a little bit that relationship with a customer, how much you, you're technical people, what they need to do to interact and help them to grow these; is it verticals, you know, what's that dynamic? >> Daniel: Well, first of all, we hire more than 1,000 people in last year alone. We started from 200 and now we are 1,400. We need all these people because this technology is at the intersection of software and services. We need to help our customers scale, and we need to inject a lot of customer success people making our customer successful. My, my way of building a company is customer first. We want to offer this boutique type of approach to our customers, and they are happy. And they-- and we build this trust relationship. This is why we need so many-- We have 2,000 customers. Next year, we have 5,000 customers. We need our people to help them grow. >> Dave: We're going to have Craig Le Clair on a little later. He's the Vice President of Forrester Research. They've done a deep dive in this marketplace in the last couple years now. UiPath has jumped from number three to number one in the Forrester wave, and when you look at that report, really, the feature and function analysis shows you guys lead in a number of places. In listening to your keynote, I discerned several things that I wonder if you could explain for our audience. It sounds like computer vision is a key linchpin to your architecture, and there seems to be an orchestrator and then maybe a studio to enable simple low code, or even no code automations to be developed. Can you describe, so a layperson-- your architecture, and why you've been able to jump into the lead. >> Daniel: Well, we've done everything wrong as a start-up. We spent like seven years building a computer vision technology that-- it was of little use, back then. We did it just because we liked it. And now, this is our powerful weapon, because, what's important for this robot is to be accurate, and to be able to work in any situations. Why our technology works better, is that we do way better the extra mile of automation. 80% of the job anyone can do, even with free software. But the last 20% is where the real issues is. And with the last 20% there is no automation. And we are doing way faster. So all our signal sources-- the fact that we've done something against Lean, against every principal in start-up, we had the lecture in building so many years technology, without even envisioning the use. But when we found the market, and it was a great product market, then we scale the company. >> Dave: There are a couple key statistics that I want to bring up and get your thoughts on. We know that there are now more jobs than there are people to fill those jobs. We also know that the productivity hasn't been increasing, so your vision is to really close that gap through RPA and automation. So your narrative is really that you're not replacing humans, you're augmenting humans, but at the same time, there's got to be some training involved. You guys are making a huge commitment in training. You're going to train a million people, that's the goal, within three years. We have Tom Clancy on next. We're going to ask him how he's going to do that. But talk about that skills gap and how you're embracing re-training. >> Daniel: Well, we realize that at some point that change management, it's kind of the key-- it's the cornerstone of delivering this technology. Because there is inertia, there is fear, and-- if we bring, at the same time, automation and training, it solves this-- that solve this issue. And we have to think big; this is why: one million is a big goal, but we will achieve it because we-- I love my way to think big. I was thinking small for so many years, and thinking big it's like, it's like liberty. You sat down and realize, "Yes, you can." >> Stu: Daniel, we talk a lot about digital transformation. The automation often doesn't get talked, but in big companies; Microsoft, Oracle, SAP, seems a natural fit, I saw some of them are your partners, you came from Microsoft, maybe talk about that dynamic about how some of the, you know, big players that, you know, have the business process applications, how your solution fits with them, you know, are they going to be paying attention to this space? >> Daniel: Well, digital transformation, it's a big initiative for everybody. And RPA, it's actually right now, recognizes the first step in digital transformation. And obviously that if was RPA, AI, big business applications, it's not one single angle, but we covered the last mile of automation. We've covered the impossible, before, before this. And our automation first view of the world is beyond digital transformation because companies will exist after they build for digital transformation. But automation first is a, is a mindset. It's rethinking your operations by applying automation first. >> Dave: You have an open mindset, which is interesting. You even said on stage that, "Look, our competitors are beginning to mimic "some of our features and functions and our approach." And you said, "That's okay." I was surprised by that, especially given your Microsoft background, which was like, grind competitors into the ground. What's changed? Why the open mindset and why do you believe that's the right approach? >> Daniel: Look at Microsoft, Microsoft has changed. This is the-- it's much better, it's-- you feel better as a human. When you can offer something, "This is up, take it, give me feedback." We've been able to build way faster than them, having our open and free community. Open the software-- It gives you more joy as a developer seeing thousands of people than just guarding my little secret just for fear someone will copy it. It's way better. >> Dave: Now, you said on stage that a lot of people laughed at you when you were starting this company, you dream big. Somebody once said, Stu, that, "If you believe you can do it, "or you don't believe you can do it, you're right." "So you got to believe," was one of the things that you said. >> Daniel: That's the first thing. >> Dave: Yeah, so share with the young people out here who are dreaming big, everybody in their early 20's, they're dreaming big. Tell us about your story, your dreams, people who laughed at you, what were they laughing about and how did you power through that? Where did you get your conviction? >> Daniel: Well, first of all, they don't dream big enough. It's very difficult to big dream enough because you have your, you know-- it's the common sense that comes into the picture and it's the fear of other people laughing at you. And we haven't dreamt big enough. For 10-- for the first 10 years, we just wanted to make a good technology, the best technology that we can but that's not big enough. Big enough is change the world, big enough is bring something that makes people life better. This is big enough. If they think making people lives better, that's big enough. Nothing else is big enough. >> Dave: Well I love the fact, Daniel, that your mission-driven; that's clear. You're having some fun. You know this-- these apps are really a lot of fun. Do you still code? >> Daniel: No but I do a lot of software design and review. >> Dave: Okay, so you help, so the coders, they-- how do-- what's that dynamic like? You have-- obviously experienced developer. Do you sort of, tell them which path to go down or which path not to go down? Do you challenge them? What's your style, as a leader? >> Daniel: I challenge them to do things faster, always. They-- I ask them, let's do this feature and they say, "Two month." "No, two days." Why not? And then we go and break that one and it's a lot of conversation but usually we will deliver. Fast-- fast is also a way of being. Fastest company wins, and fast is a-- it's not easy to change the mind. Because you want-- maybe you want to be very organized, very sophisticated. If you are fast, you have to be ready to make mistakes, reverse your decision going, but you will go fast in the end. >> Dave: So that is kind of Steve Jobs-like, set a really challenging goal, and people somehow will figure it out, but culturally, you seem friendlier, nicer. It's not grinding people anymore, it's inspiring them. Is that a fair assessment? >> Daniel: My goal is to have the happiest team employees everywhere. Hap-- I like to be happy. I started this company for the joy of doing what I like, why not, this is, this is what I want for everyone. And we are-- we recently scored in comparably as one of the best company in terms of people happiness. >> Dave: Well congratulations, thanks so much for coming on theCUBE. >> Daniel: Thank you very much for inviting me. >> Dave: Really a pleasure having you. Alright, Stu and I will be back with our next guest. Right after this short break, we're live from UiPath... in Miami, you're watching theCUBE. Stay right there. (electronic music)

>> Announcer: theCUBE presents "On the Ground." (light techno music) >> Hello there and welcome to SiliconANGLE's theCUBE, On the Ground, here at Oracle's Headquarters. I'm John Furrier, the host of theCUBE, and I'm here with Neil Mendelson, the Vice President of Product Management for the Big Data Team at Oracle. Welcome to On the Ground, thanks for having us here, at Headquarters. >> Good to be here. >> So big data, obviously a big focus of Oracle OpenWorld, is right around the corner but in general, big data breadth of products from Oracle, has been around for awhile. What's your take on this? Because Oracle is doing very well with this new Cloud storing. My interview with Mark Hurd, 100% of the code has been cloudified. Big data now is a big part of the Cloud dynamic. What are some of the things that you're seeing out in the marketplace around big data, and where does Oracle fit? >> Well, you know, when this whole big data thing started years ago, I mean Hadoop just hit its 10th anniversary, right? Everybody was talking about throwing everything out that they had and there was no reason for SQL anymore and you're just going to throw a bunch of stuff together yourself and put it together and off you go, right? And now I think people have realized that to get the real value out of these new technologies, it's not a question of just the new technologies alone, but how do you integrate those with your existing estates. >> So Oracle obviously is a big database business, you know, I mean Tom Curry, with "Hey the database, take your swim lane", but what's interesting is with Hadoop and some of these other ecosystems, what customers are looking for is to not just use Oracle database but to use whatever they might see as a feature of some use case. >> Neil: Absolutely. >> Hadoop for batch. So you guys have been connecting these systems, so could you just quickly explain for a minute how you guys look at this choice factor from a customer standpoint because there's a role for Hadoop, but Hadoop isn't going to take over the whole world as we see in the ecosystem. What's your role, vis-a-vis the database choice? >> Yeah, so we very much believe when Oracle started, it was all about Database, and it was all about SQL. And we believe now that the new normal is really one that includes both Hadoop, NoSQL, and Relational, right? SQL is of course still a factor, but so are the ability to interface, in via rest interfaces and scripting languages. So for us, it's really a big tent, and we've been taking what we had done previously in Database and really extending that to Data Management over Hadoop and NoSQL. >> We had a great chat at Oracle OpenWorld last year, and you talked about your history at Oracle before you did you run with start-ups. You've seen this movie go on early days with data warehousing, so I got to ask you, big data's not new to Oracle, obviously the database business has been thriving and changing with the Cloud around the corner and certainly here on the doorstep but could you explain Oracle's Database, I mean, big data product offerings? >> Sure. >> What was the first product? Take us through the lineage of where it is, because you guys have products. >> We do. >> And a slew of stuff is coming, I can imagine, I'm sure you can't share much about that but talk about the lineage right now. >> Okay, so we started about three years ago on the Hadoop side by making an appliance made for Hadoop and then in the future, which followed on with Spark. And that appliance has been doing well on the marketplace for a number of years and we've obviously continued to enhance that. We then took what we perfected on premises and we moved that up to the Cloud, so we have a big data cloud service for customers that offer them high-performance access to Hadoop and Spark and without necessarily the need to actually manage security and all the things with it. At OpenWorld, we'll be making a series of announcements, we'll be creating yet another big data Cloud service. This one will be fully managed, fully elastic for customers who only want to take advantage of a Hadoop or Sparks service, as an example, and don't want to deal with the ability to specifically tweak the environment, right? We also announced a little while ago, our family of Cloud Machines, right? So you'll see, a, the first Cloud Machine is one that provides Oracle IaaS and PaaS services and then we'll add to the family. >> John: That's shipping already, though. >> That's shipping already, right? And then we'll add to the family, an Exadata Cloud Machine and a big data Cloud Machine and the Cloud Machines are really kind of a cool concept. They're cool because for a lot of customers from a regulatory point of view or otherwise, they're just not ready for the public Cloud, but everybody wants to take advantage of what the Cloud provides. So how do you do that behind your firewall, right? How do you provide IT as a service? So what Oracle has done essentially, is to package up its Cloud services and able to deliver that to customers behind the firewall and they get the exact same technology that they have on the public Cloud, they build to one architecture and then deploy it wherever they choose. They get the advantages of the Cloud, it's a subscription service, right, but they can deal with but they can adhere to whatever data sovereignty or issues that they might have. >> So let's get to that regulatory dynamic in a second but I just want to back up, so Big Data Appliance, B-D-A you guys call it, Big Data Appliance, that's been out. Big data service... >> Neil: Cloud service started about a year ago. >> Done a year, that's out there. Those laces that connect Appliance that's on-pem with the Cloud. >> Neil: Right. >> And then now you have the cloud machine series of enhancements coming in Oracle Openworld. >> Right, as well as a fully elastic, fully managed cloud service that will add to the mix as well >> Okay, so let's get down, so that's going to bring us fully cloud-enabled. >> Yep. >> Cloud on-premise, >> Both. >> All that kind of dynamic flexibility and an option for cloud configurations and depressuring. Okay, back to the regulatory thing. So what's the big deal about that, because you mentioned that most companies we talk to love the cloud, they love the economics, but there's a lot of fund and fear internally amongst their own team about getting sued, losing data, you know, certain industries that they might have to play, is that a fact and can you explain that for someone and what's important about that. >> Yeah I mean, for some customers it's a real concern, right, and the world is dynamically shifting, I mean, look at what happened a few months ago with you know the Brexit, right, I mean all of a sudden it was OK to have, you know, the data as long as it was in the EU, well the EU is now shifting, so where does the data go, right? So from a regulatory point of view we haven't fully settled in terms of where customer data can be held, exactly how its treated, and you know those things are evolving. So for a number of companies, they want the advantages of the cloud but they don't necessarily want it on the public cloud and that's why we're offering these new cloud machines because they can essentially have their cake and eat it too. >> So interesting, the dynamic then is is that this whole regulatory thing is a moving train. >> Right. >> Relative to the whole global landscape. >> Right. >> Who knows what's going to happen with China and other things, right? >> Right and I think that's what's really terrific is that our history is, of course, were a company that's been around for a while so we started on premises and we moved up to the cloud and our customers are ones that are going to have, kind of, this hybrid kind of a system, right. Other companies started much later and their cloud only and you know while that's great for companies that want the public cloud. What do you do if you're in a regulatory environment that isn't ready to boot public cloud? Now you have to have two architectures, one for on-premises and one for cloud and then how do you deal with a moving landscape where a year from now things that are on premises can move to the cloud and other things that are in the cloud may have to move to back on premises, right? How do you deal with that dynamic going forward and not get stuck. >> So, is it fair to say that Oracle is a big data player in the cloud and on-premise? >> Absolutely, and not just for data management. I think that you know while we started at that core, that's our heritage, we've so much built out our portfolio, we have big data products in the data integration space, in the machine learning space, we have big data products that connect up with our IoT strategy, with data visualization, we've really blossomed as the marketplace has matured bringing additional technology for customers to utilize. >> Okay, so let's get down to the reality and get into the weeds with customer deployments. How do you guys compare vis-a-vis the competition now you got the on-prem with the BDA, Big Data Appliance with the cloud service, cloud machines to create some provisioning, flexibility on whether architectures the customers may choose. >> Yeah. For whatever reason that they would have. >> Okay. How does that compare to the competition? >> On the on-premises side, if we start there, there was a recent Forrester Wave that looked at various Hadoop appliances and we took the number one category or the number one position across all the three categories that they looked at, they looked at the strategy, they looked at the market presence and they looked at the capability of what we offered and we ended up number one in that space. On the cloud side, of course, we're maturing in terms of that offering as well but you know we're really the only company out there that can offer the same architecture both on cloud and on-premises, where you don't necessarily have to go all in on one or the other, and for many companies that's exactly what they're, you know, what they need right. They can't necessarily go all in one way or the other. >> So I got to ask you kind of a, put your Oracle historian tech historian hat on as well as your Oracle executive hat on and talk about some of the technologies that have come and gone over the years and how does that relate to some of the things that are hyped up now? I mean certainly Hadoop, what's supposed to be this new industry, it's going to disrupt the database and Oracle's going to be put out of business and this is how people are going to store stuff, MapReduce. Now people are saying, why even have Hadoop in the cloud when you got object store. So, things come and go, I'm not saying Hadoop is going to come and go but it's good for batch but so, what's your comments on it can you point to industry technology, say okay, that's going to be a feature of something else, that's a real deal? What are some of the things that you look at that you can say... >> So you know we're seeing exactly as you described, a few years ago you go to a conference and it was all about MapReduce. Right now, a seminar in MapReduce, nobody goes, right. Everybody's going to Spark, right, and there's already things that potentially will replace Spark, things like Flink, and we're going to see that continual change and a lot of what we focused on is to be able to provide some level of abstraction between the customers architecture and these moving technology. So, I'll give an example. Our data integration technology, historically that was, you know, you're able to visually describe a set of transformations and then we generated code in SQL or PL/SQL. Now we generate code, not only in SQL and PL/SQL but we generate that same code in Spark. If tomorrow Spark gets replaced with Flink or something else, we simply replace the code generator underneath and all of what the customers built gets preserved and moved into the future. I think a lot of people are now becoming concerned that as they take advantage of open source really really at the very low levels they have the potential to essentially get stuck in a technology which has essentially become obsoleted, right? >> Yeah. >> As any new technology evolves we move from people who just code, right, with all the lower level stuff up to a set of tools and you know we talk to companies now that have huge amounts of now legacy MapReduce code, right, you think only a few years ago... >> It's kinds like cobalt. >> Neil: Yeah. (John laughing) >> Neil: So... >> I's going to be around but not really pervasive. >> Right. So how can you take advantage of these technologies, without necessarily having to get stuck to any one of them. >> So, I'm going to ask you the philosophical question, so Oracle database business has been the star over the years since the founding but even now it seems to me that the role of the database becomes even more important as you connect subsystems, call it, Hadoop, Spark, whatever technology's going to evolve as a feature of an integrated system, if you will, software-based and or engineered system coming together. So that seems to be obvious that you can connect in an open way and give customers choice but that's kind of different from the old Oracle. I have a database everything runs on Oracle, Oracle on Oracle's grade, certainly it runs well but what's the philosophy internally obviously the database team's sitting there it must be like, wow big data is an opportunity for Oracle. >> That's right. Or do they go, no the database business is different. How do you guys talk about that internally and then how do customers take away from that dynamic between the database crown jewel and the opening it up and being more big data driven? >> I think it's ironic because, externally, when you talk to people, they just assume that we're going to be like "Oh my god this is a threat" and we're going to just double down on what we're doing on the database side and we're just going to hunker down and I don't know try to hide, right? But that's exactly the opposite of what we're really been doing internally. We really have embraced these technologies of Hadoop and Spark and NoSQL, and we're essentially seeing data management evolve, that is the new normal. So rather than looking at, not only what we might have said, we did say when we introduced Oracle in the data warehousing market back in '95, We said "Put all your data in the Oracle database." We're not saying that anymore because there are reasons to put data in Hadoop, there are reasons to put data in graph databases, in NoSQL databases, we need to be able to provide those choice while still integrating that data management platform as one integrated entity. >> Would you say then it was fair to say that, from a customer standpoint, by having that open approach gives more faster access to different data types in real time? >> Absolutely. >> John: Then isn't that the core value proposition of big data. >> Yeah, again when the Hadoop new craze first started it was all about unload and put everything in this one store and for a lot of companies today, they still are faced with the this conundrum which says, in order to analyze data, I have to put it all in one place. So that means that you have to move your operational data into one place, you have to move your data warehousing stuff into one place, but then at the same time you mentioned real time. How do you get into the business of moving data from Place A to Place B on a constant basis while still being able to offer real-time access and real-time analytics? The answer is you can't. >> And the value of the data, the data capital, as we've been talking about, McGee bond is an IoT piece of data from a turbine could have really big relevance to the system of record in another database and that has to be exposed and integrated quickly to surface some insight about the quality of that... >> It's the thing that gives you context, right. Today what's going on is that we are getting all access to all these rich data sources and rich data types that we didn't have before, whether that's text information or information coming off sensors and alike, and the relevance of that information is, when we combined it together with the corporate information, the stuff that we have in our existing systems to really reap the true benefit. How do you know, when you get a log file the log file doesn't have anything about the customer in it, the log file just has a, a number associating itself to a customer. You have to tie that together with the customer profile which data which might not exist in Hadoop, maybe it's in a NoSQL store. >> And certainly the Open Source is booming with Oracle. You guys are actively involved in all the different open source ecosystems. >> Sure, we drive a number of open source projects whether it's MySQL or Java or, the list goes on and on. Many people don't think of, you know, they're not even aware that Oracle's behind my MySQL. As an example, right, I mean, I remember talking to my son recently he says, "Do you know anything about MySQL" and I'm like well a little bit. And then as we're talking and were looking through his code, finally I say, "You know this is Ooracle product," He's like no it's not. You know cause... >> It's too cool to be Oracle. >> That's right. That's not a bad thing, right. >> Yeah. I mean the reality of it is, is that you know we've invested a whole lot of time and energy in these technologies and we're really looking to commercialize them to mainstream them, to make them less scary for more people to be able to get value from. Well your son's example's a great illustration of the new Oracle that's out there now this whole new philosophy. Final, give you the last word real quick, for folks watching, what's one thing you'd want to share with them that they may or may not know about Oracle and it's big data strategy? >> Give us a look. Right, I mean I think that when you think of big data and you think of these new technologies, you may not think of Oracle, right. You may think of the new companies that you're more familiar with in the light. The reality of is, is that Oracle has an extraordinarily rich portfolio of technology and services on the cloud as well as like cloud machines. So give us a look, I think you'll be surprised at how open we are, how much of the open source technology we've embedded in our products and how fast were essentially evolving into, what is the new normal. >> Neil thanks so much for spending the with me here On the Ground. I'm john Furrier, you're watching exclusive "On the Ground" coverage here at Oracle Headquarters. Thanks for watching. >> Neil: Thank you.