>> Woman: From theCube studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is theCube conversation. >> Hey, welcome back everybody. Jeff Frick here with theCube coming to you from our Palo Alto studios to have a Cube conversation with a real leader in the industry he's been publishing for a long, long time. I've been following him in social media. First time I've ever get the met in person and kind of a virtual COVID 20, 20 way. And we're excited to welcome into the studio. Bob Evans. He's a founder and principal analyst, the Cloud Wars Media coming to us. Bob where are you coming to us from today? >> In Pittsburgh today. Jeff. Good to see you. >> Awesome. Pittsburgh Pennsylvania. There's a lot of Fricks in Pittsburgh Pennsylvania cause Henry Clay was there many moons ago so that's a good town. So welcome. >> Thank you, Jeff. Thanks. Great to be here. And I look forward to our conversation. >> Absolutely. So let's, let's jump into it. So I know you attended today, the Citrix Cloud Summit you know, we've covered Citrix energy in the past this year, they decided to go we'll obviously virtual like everybody did but they, you know, they did something a little creative I think as, and they broke it into pieces, which, which I think is the way of the future. There's no reason to necessarily aggregate all of your news, all of your customer stuff, all your customer appreciation, the party the partners, all for three days in Vegas. Cause that's the only time you could get the Science Convention Center. So today was the Cloud Summit all day long. First off, just, you know, your general impressions of the event, >> Jeff, you know, I just thought that the guys had hit a really good note about what's going on in the outside world. You know, sometimes I think it's a little awkward when tech companies come in and the first thing they want to talk about is themselves, which I guess in some ways fine but I think the Citrix guys did a really good job at coming outside in here's what's going on in the outside world. Here's how we as a technology player trying to adapt to that and deliver the maximum value to our customers in this time of unprecedented change. So I thought they really nailed that with cloud and some of the other big topics that they laid out >> Great. And you've been covering cloud for a long time and, and you know, COVID is, we're still in it. There's a lot of really bad things that are happening. There's hundreds of thousands of people that are dying and a lot of businesses are getting crushed especially hospitality, travel you know, anything that relies on an aggregation of people. Conversely though we're, we're fortunate to be in the IT industry and in the information industry. And for a lot of industries, it's actually been kind of an accelerant. And one of the main accelerants is this, you know kind of digital transformation and new way to work. And some of these things that were initiatives in play but on March 15th, approximately it was go, right? It was Light switch no more planning, no more talking, it's here now. Ready, set, go. And it's in, you know, Citrix is in a pretty good position in terms of the products that they offer, the services that they offer, the customer base that they have to take advantage of that opportunity and, and you know, go to this, we've all seen the social media memes right? Who's driving your digital transformation the CEO, the CIO, or COVID. And we all know what the answer to the question is. They're pretty well positioned and it seems like, you know, they're doing a good job kind of doubling down on the opportunity. >> Jeff. Yeah. And I'd sure echo your, your initial point there about the nightmare that everybody's experienced over the last six or seven months. There's, there's no way around that yet. It has forced in these categories like, you know, that we've all heard hundreds of thousand time digital transformation to the point where the term almost becomes a cliche but in fact right? You know, it has become something that's really you know, one of the driving forces, touching everybody in the planet, right? There's, and I think digital transformation. Isn't so much about the technology, of course but it's because, you know, there's a couple billion people around the world who want to live digitally enhanced digitally driven lifestyles. And the pandemic only accelerated that as you said. So it triggered things you know, in our personal lives and our new set of requirements and expectations sort of rippled up to the B2C companies and from them back up to the B2B companies So every company on earth, every industry has had to do this. And like you said, if they were, deluding themselves maybe telling themselves these different companies that yeah, we're going fast, we're aggressive. Well, when this thing hit earlier this year as you said, they just had to really slam their foot down. I think that David Henshall from Citrix said that they had some companies that had, they were compressing three years into five months or he said in some cases even weeks. So it's really been extraordinary. And cloud has been the vehicle for these companies to get over into their digital future. >> Right. And let's talk about that for a minute because you know, Moore's law is my favorite law that nobody knows which was, you know, we tend to underestimate, excuse me we tend to overestimate the impact of technology in the short term of specific technology and underestimate the longterm impact. You know, Gardener kind of uses a similar thing with the hype cycle. And then you know, the thing goes at the end, you know, had COVID hit five years ago, 10 years ago, 15 years ago you know, the ease in which the information workers were able to basically just not show up and turn on their computer at home and have access to most of their tools and most of the security and most of their applications that wasn't even possible. So it's a really interesting, you know, just validation on the enabler that we are actually able to not go to work on Tuesday the 16th or whatever the day was. And for the most part, you know, get most of our work done. >> Yeah. Yeah. Jeff, you know, I've thought about it a lot over the last several months. Remember the big consultant companies used to try to do these measures of technology and they'd always come out and say, well, we've done all these studies. And despite the billions of dollars of investment we can't show that IT has actually boosted productivity or, you know, delivered an ROI that customers should be happy with. I was always puzzled by some of the things that went into those. But I would say that today over these last six or seven months to your point, we have seen extraordinary validation of these investments in technology broadly. But specifically I think some of these things that are happening with the cloud, you know, as you've said how fast some companies have been able to do this and then not remarkable thing, Jeff right. About human nature. And we hear a lot about in, in when companies change that relative to changing human behavior changing technology is somewhat easy but you try to change human behavior and it's wicked. Well, we had this highly motivating force behind it, of the pandemic. So you had a desire on the part of people to change. And as you pointed out, there's also this corresponding thing of, you know, the technology was here. It was right. You've got a fast number of companies delivering some extraordinary solutions. And, you know, I thought it was interesting. I think it was a Kirsten Kliphouse from Google cloud. One of Citrix's partners who said that we're two best of breed companies, Citrix and Google cloud. So I thought that, that coming from Google you know, that is very high praise. So again, I think the guys at Citrix are sort of coming into this at the right time with the right set of outside in-approaches and having that flexibility to say that we're moving into territory nobody's ever been both been in before. So we better be able to move as fast as possible. >> Right. Right. And, and just to keep going down the quote line, you know once everyone is taken care of and you, you deal with the health and safety of your people which is a number one, right? The other thing is the great Winston Churchill quote which has never let a good crisis go to waste. And I think you know, David talked about in that, in his keynote that this is an opportunity, He said to challenge assumptions, challenge the models of the past. So, you know get beyond the technology discussion and use this really as a catalyst to rethink the way that you do things. And, you know, I think it's a really interesting moment because there is no model right? There is no, there is no formula for how do you reopen, there was no playbook for how do you shut down? You know, it was, everybody's figuring it out. And you've got kind of all these concurrent processes happening at the same time as everyone tries to figure it out and come to solutions. But clearly, you know, the path to, to leverage as much as you can, is the cloud and the flexibility of the cloud and, you know the ability to, to expand, add more applications. And so, you know, Citrix again, right place, right time right. Solution, but also you know, taking an aggressive tact to take advantage of this opportunity, both in taking care of their customers, but really it's a real great opportunity for them to change a little bit. >> It is. And Jeff, you know, I think if I could just piggyback on you know, your, your guy there Winston Churchill, one of his other quotes, I love it too. And he said, if find yourself crawling through hell, keep going. And I think so many companies have really had to do that now. It's, it's not ideal. It's not maybe the way they plan it but this is the reality we're facing here in 2020 and a couple of things right? I think it requires a new type of leadership within the customer companies right? What, how the CEO gets engaged in saying, I, I'm not going to relegate this to the CIO for this to happen and something else to the CMO. They've got to be front and center on this because people are pretty smart. And then the heightened sensitivity that everybody in every business has around the world today if you think your CEO is just paying lip service to this stuff about digital transformation and all these changes that everybody's going to make, the people aren't going to buy into it. So you've got the leadership thing happening on the one side and into that it's not a vacuum, but into that void or that opportunity of this unprecedented space that you mentioned come the smart, capable forward-looking technology companies that are less concerned with the stuff that they've dragged along with them for years or decade or more. But instead of trying to say, what is the new stuff that people are going to be desperately in need of and how can I help these customers do things that they never did before? It's going to require me as a tech company to do stuff that I've never done before. So I, I've just been really inspired by seeing a lot of the tech companies doing what they are helping their customers to do which is take a product development cycle, look at all the new stuff that came out around COVID and back to work, workspaces. And so on what Citrix, you know others are doing like this, the product development cycles Jeff, you study this stuff closely. It's, it's almost unimaginable. If you had said that somebody within three months within two months, we're going to have a new suite of product available we would have said it just, it's not possible the nice idea but it can't work, but that's happening now, right? >> Yeah. Isn't it interesting that had you asked them on March 10th, they would have told you it's not possible. And by March 20th, they were doing it. >> Yeah. >> At scale, huge companies. And to your point, I think that the good news is they had kind of their own companies to eat their own dog food and get their own employees you know, working from home and then, you know, bake that into the way that they had their go to market. But let's talk a little bit more specifically about work from home or work from anywhere or the new way to work. And it's funny cause that's been bantered about for, for way too long, but now, now it's here. And most indications are that for many people, many companies are saying you're not going to go back for a while. And even when you do go back it's going to be a lot different. So, you know, the new way to work is really important. And there's so much that goes into that. And one of the big pieces that I'm encouraged to hear is how do you measure work? And, you know, there's a great line I heard where, you know work is an output. It's not a place to go. And, you know, I had Martin Michaelson early on in this thing, and he had the great line, you know it's so easy to fake it at work, you know, just look busy and walk around and go to all the meetings where with a work from home or work from anywhere. What the leadership needs to do is, is a couple of things. One, is measure output right? Not activity. And you know, it's great. People can have dinner with their family or go see the kid's baseball game. Or I guess they don't have a baseball games right now but, you know, measure output, not activity which is, doesn't seem to be that revolutionary. But I think it kind of is. And, and then the other thing is really be an enabler and be a, an unblocker for people in terms of a leadership role right? Get out, help get stuff out of the way. And, but unfortunately, the counter is, you know how many apps does a normal person have to interact with every day? And how many notifications do those apps fire off every day between Slack and Asana and Salesforce and, and texts and tweets and everything else. You know, I think there's a real opportunity to take a whole nother level of productivity improvement by removing these, these silly distractions automating, you know, as much of the crap away as we can to enable people to use their brains and have some quiet time and think about things and deliver much better value than this constant reaction to nonstop notifications. >> Yeah. Yeah. Jeff, you know, I loved your point there about the difference between people's outlook on March 10th versus on March 20th. And I believe that, you know, all limitations are self-imposed, right? We tend to form constructs around how we think and allow those then to shape and often restrict or confine our behavior. And here's an example of the CEO of Novartis Pharmaceutical Company. He said, we have been brought up in the pharmaceutical industry to believe that it is immutable law of physics that it's going to take 12 and a half years and two and a half billion dollars to get a new drug approved. And he said in the past with the technology and the processes and the capabilities that that was true it is not true today yet too often, the pharmaceutical industries behave like those external limitations are put in there. So flip that over to one of the customers that, that was at the Citrix Cloud Summit today Jim Noga, who's the CIO at Mass General Brigham. I thought it was remarkable what he said when you asked about how are things going with this work from home? Well, Jim Noga the CIO there said that we had been averaging before COVID 9,000 virtual visits a month. And he said since then that number has gone up to a quarter of a million virtual visits a month or it's 8,000 a day. So they're doing an a day what they used to do in a month. Like, you said it, you tell them that on March 10th, they're not going to believe it but March 20th, it started to become reality. So I think for the customers, they're going to be more drawn to companies that are willing to say, I see your need. I see how fast you want to move. I see where you need to go and do things you never did before. I'm willing to lock elbows with you, and go in on that. And the tech number is that sort of sit back and say, ah well, I'd like to help you there, but that's not what I do. They're going to get destroyed. They're going to get blown out. And I think over the next year or two, we're going to see this massive forcing function in the tech industry. That's going to separate the companies that are able to move at the pace of market and keep up with their customers versus those that are trapped by their past or by their legacy. And it is, going to be a fascinating talk. >> So I throw on a follow up to make sure I understand that number. Those are patient visits per unit time. >> Yeah. At Mass Brigham. So he said 9,000 virtual visits a month is what they're averaging before COVID. He said, now we're up to 250,000 virtual visits per month. >> Wow. >> So it's 8,000 a day. >> Wow. I mean the thing that highlights to me, Bob, and the fact that we're doing this right now, and none of us had to get on an airplane is, you know, I think when people think back or sit back and look at what does this enable? right? What does digital enable? Instead of saying instead of focusing what we can't do, like we can't go out and get a cup of coffee after this is over and we can't and that would be great and we'd have a good time but conversely, there's so many new things that you can do right? And you can reach so many more people than you could physically. And, and for like, you know, events like the one today. And, you know, we cover events all the time. So many more people can attend if they don't have the expense, of flying to Vegas and they don't have to leave the shop or, you know, whatever the limitations are. And we're seeing massive increases in registrants for virtual events, massive increase in new registrants. Who've never attended the, the events before. So I think he really brings up a good point, which is, you know, focus on what you can do and which is a whole new opportunity a whole new space, if you will, as opposed to continuing to whine about the things that we can't do because we can't do anything about those anyway >> No, and you know, that old line of a wish in one hand and spit in the other and see which one fills up first (laughs) you know, one of the other guests that that was on the Cloud Summit today Jeff, I don't know if you got to see 'em, but Steve Shute from SAP who heads up their entire 40,000 person customer success organization he said this about Citrix. "Citrix workspace is the foundation to provide secure cloud based access for this new generation of remote workers." So you get companies like SAP, and, you know, you want to talk about somebody that has earned its way into the, you know the biggest companies in the world and how they go along. You know, it's pretty powerful. They end up, your point Jeff, about how things have changed, focus on what we can do. The former CEO of SAP, Bill McDermott. He recently said, we think of phones as, you know, devices that help us be more productive. We think of computers as devices that help us be more productive. He said, now the world's going to start thinking of the office or the headquarters. It's a productivity tool. That's all it is. It's not the place that measures Hey, he was only at work, four days today. So, you know, he didn't really contribute. It's going to be a productivity tool. So we're going to look at a lot of concepts and just flip them upside down what they meant in February. Isn't going to to mean that much after this incredible change that we've all been through. >> Right. Right. Another big theme I wanted to touch base with you on it was very evident at the at the show today was multicloud right and hybrid cloud. And, you know, I used to work for Oracle in, in the day. And you know Amazon really changed the game in, in public cloud. The greatest line, one of Jeff's best lines is you know, we had seven year headstart. Nobody even was paying attention to the small book seller in Seattle and they completely changed enterprise technology. But what came across today pretty clearly right? As horses for courses, and really focusing at the application first right? The workload first and where that thing runs and how that thing runs, can be any place in that in a large organization you know, this is pick an airline or, or a big bank right? They're going to have stuff running at Oracle. They're going to have stuff running at AWS. They're going to have stuff running on Google. They're going to to have stuff running in Azure. They're going to have stuff running in their data center. IBM cloud, Ali Baba. I mean there's restrictions for location and, and data sovereigncy and all these things that are driving it. And really, you know, kind of drives this concept where the concept of cloud is kind of simple but the actual execution day to day at the enterprise level and managing and keeping track of this stuff, it is definitely a multicloud hybrid cloud. Pick your, pick your, your adjective but it's definitely not a single cloud world. That's for sure. >> Yeah. Yeah. And Jeff, you know, the Citrix customer that I mentioned earlier, Jim Noga is that the CIO at mass General Brigham, one of the other points he made about this was he said he's been very pleased about some of the contributions that cloud has made in, in, in his hospital organizations, you know transformation, what they've been able today and all the new things that they're capable of doing now that they were not people poor. But he said, you know, cloud is a tool. He said, it's not Nirvana. It's not a place for everything. He said, we have some on-premises systems. He said, they're more valuable now than they were a couple of years ago. And then we've got edge devices and we have something else over here. He said, so I think his point was it's important to put the proper value on cloud for all the things it can do for a specific organization, but not the thing that it's a panacea for everything though, big fan, but also a realist about it. >> Great. >> And so from that to the hybrid stuff and multicloud and I know all the big tech vendors would love it and say Oh no, it's not a multicloud, but just be my cloud. Just, just use my stuff. Everything will be easy, but that's not true. So I think Citrix position itself really well big emphasis on security, big emphasis on the experience that employees need to have. It isn't just sort of like a road war you loose five or seven years ago, as long as he, or she can connect through email and, you know, sending a sales data back and forth, they're all set. Now. It's very different. You've got people sitting in a wildly different environments for, you know, six, eight, 10 hours a day and chunk of an hour or two or three here or there. But that, that seamless experience always dependable, always reliable is just, you know, it can't be compromised. And I just thought you have one you know, high level thought about what happened. It was impressive for me to see that Citrix certainly a fine company put it. It's not one of the biggest tech companies in the world but look at the companies we have, the Microsoft, SAP talking about Google Cloud, AWS, you know, up and down the line. So I just thought it was really impressive how they showed their might as sort of a part of a network effect that is undeniable right now. >> Right. Right. And I think it's driven, you know, we hear over and over right? I mean, co-opertition is a very Silicon Valley thing. And ultimately it's about customer choice and the customer's going to choose you know, kind of by workload, even if you will or by budget as to what they're going to do where so you have to be able to operate in that world or you're going to be you're going to get, you're going to get left out unless you're just super dominant and it's a single application and they built it on you and that's it. But that's not realistic. I want to shift gears a little bit Bob, since I'm so happy to be talking to you on another topic, that's, that's a big mega trend and we're slowly seeing more and more applications. That's machine learning and artificial intelligence and you know, and, and the generic conversations about these remind me of the old big data conversations. It's like okay. So what you know, who cares? It doesn't really matter until you apply it. And with all these new applications and even just around the work from home that we discussed earlier, you know, there's so many opportunities to apply machine learning and AI, to very specific functions and tasks to, again, help people prioritize what they're going to do help people not have to deal with the crap that they shouldn't have to do. And really, you know at a whole another level of, of productivity really, based on a smarter way to help them figure out what am I going to do in my next, my next marginal minute? You know, cause ultimately that's the decision that people make when they're sitting down getting work, done it, how do they do the best work? And I think the AI and machine learning opportunities are gargantuan. >> Jeff. The point you made a few minutes ago about, you know, we tend to overestimate the impact of a new technology in the short term and underestimate it, what it'll be overtime well, we've been doing that with AI for the last 40 years but this is going to be sort of the golden age of it. And one of the reasons why I have been so bullish on cloud is it presents like the perfect delivery system for it. This is we see in medicine, there's sometimes breakthroughs at the laboratory level where they've got the new breakthrough medication but they don't have the bullet. They don't have the delivery system to get it in there, cloud's going to be an accelerator for that. And it gives the tech companies, which and this is going to be very good for customers, every big tech company. Now as a data company, every company says, it's an analytics. Everybody says I'm into AI. Every company says I'm into ML. And in a way that's real good for customers cause the competitive level is going to soar. It's going to bring more choice. As you said, the more customers more types of solutions, more sorts of innovation. And it's also going to be incumbent on those tech vendors. You've got to make it as easy as possible, as fast as possible for these customers to get the benefit of it. I think it was Thomas Kurian, the CEO of Google cloud said, Hey, you know, if, if a shoe company or a retailer or a bank had fantastic expertise in data science, they could go out and hire 200 data scientists do this all themselves. He said, but that's not what they do. And they don't want to do that. >> Right. >> So he said, come to the companies who can do it. And I think that we will see changes in how business works driven by ML and AI, unlike anything that we've ever seen. >> Yeah. >> And that's going to happen over the next 12, 18 months. >> Yeah. Baked into everything. Well, Bob, I really am excited that we finally got to catch up in, in person COVID style. Like I said, I've been following you for a long time. So I just gave you the last word before we sign off. You know, you've been in this business for a long time. You've seen lots and lots of waves. You know, this is just another wave with this, with this, you know, gasoline thrown on the fire with, with COVID in terms of the rate of change. And the, you know there's no more talking, the time to move is now, share kind of your perspective as to kind of where we are. And, you know, we're, we're not that far from flipping the calendar to 2021, which is a good thing you know, as you, as you look forward a little bit you know, what's in your mind, what's getting you excited. What's getting you up in the morning. >> Yeah. Jeff, I guess it comes down to this thing of, we, I think here late in 2020, everybody's got a reason to be pretty proud of what we have done, not only in the last six months but over the last several years, if you look at the improvements that have been made in health care and making it available to more people, in education the things that teenagers or young teenagers or even pre-teenagers can do now to learn and explore the world and communicate with people from all over the globe, there's a lot of great things going on, but I think we're going to look back on this point and say, this was, this was a pivot point here in mid and late 2020, when we stopped letting in some ways, as you described it earlier worrying so much about the things we can't do. And instead put more time into what we can do, what breakthroughs can we make. And I think these things we've talked about with AI and ML are going to be a big part of that, the computer industry or the tech industry, maturing and understanding they're not in charge. It's the customers who are in charge here. And the tech companies have to reorient themselves and reimagine themselves to meet the demands of this new fast changing world. And so I think those are some of the mega trends and more and more Jeff, I think these tech companies are going to say that the customers are demanding that the tech companies give them the gift of speed, give them the gift of engaging with customers in new ways, give them the gift of seeing the world as other people see it rather than just through the narrow lens of, you know sometimes the tech bubble that can percolate somewhere out sometimes out in the Palo Alto area. So I, I'm incredibly optimistic about what the future is going to bring. >> Well, Thank you. Thanks for Bob for sharing your insight. You can follow Bob on Twitter. He's got podcasts, he's very prolific writer and again, really, really a great to meet you in person. And thanks for sharing your thoughts >> Jeff, thanks so much. You guys do a fantastic job and it's been a pleasure to be with you. >> Thank you. Allright. He's Bob Evans. I'm Jeff Frick. You're watching theCube from our Palo Alto studios. Thanks for watching. We'll see you next time. (soft music)

okay we're back live in new york city for hadoop world 2011 john furrier its founder SiliconANGLE calm and we have a special walk-in guest tomorrow and allah the vp of engineering co founder of Cloudera who's going to be on at two thirty eastern time on the cube to go more in depth but since we saw her in the hallway we had a quick spot wanted to grab him in here this is the cube our flagship telecast where we go out to the event atop the smartest people and i'm here with my co-host i'm dave vellante Wikibon door welcome back you're a longtime cube alum so appreciate you coming back on and doing a quick drive by here thanks for the nice welcome so you know we go talk to the smart people in the room you're one of the smartest guys that I know and we've been friends for years and it was your my tweet heard around the world by you to find space and we've been sharing the office space at Cloudera a year didn't have you I meant to have you we're going to be trying to find space because you're expanding so fast we have to get in a new home sorry about that but I wanted to really thank you personally appear on live you've enabled SiliconANGLE Wikibon to we figured it out early because of you I mean we had our nose sniffing around the big data area before it's called big data but when we met talked we've been tracking the social web and really it's exploded in an amazing way and I'm just really thankful because I've been had a front-row seat in the trenches with you guys and and it's been amazing so I want to thank you're welcome and that's great to have you on board and so so you you've been evangelizing in the trenches at Yahoo you were a ir a textile partners announcing the hundred million dollar fund which is all great news today but you've been the real spark get cloudy air is one of the 10 others one of them but I know one of the main sparks a co-founder a lots of ginger cuz I'm Rebecca and my co-founder from facebook I mean we both we said this before like we saw the future like an hour companies we saw the future where everybody is gonna go next and now Jeff's gonna be on as well he's now taking this whole date of science thing art yep building out a team you gotta drilled that down with him what do you what do you think about all this I mean like right now how do you feel personally emotionally and looking at the marketplace share with us your yeah I'm very emotional today actually yeah lots of the good news is you heard about the funding news yes million dollars for startups but no but the 14 oh yeah yeah it is more most actually the news was supposed to come out today came out a bit earlier sir day but yeah I'm very very emotional because of that it's a very Testament from very big name investor's of how well we were doing and recognition of how big this wave really is also the hundred million fun from Excel that's also a huge testament and lots of hopefully lots of new innovations or startups will come out of that so I'm very emotional about that but also overwhelmed by the by the the size of this event and how many people are really gravitating towards the technology which shows how much work we still have to do going forward it was very very August of a great a bit scared a bit scared Michaels is a great CEO on stage they're great guy we love Mike just really he's geeky and he's pragmatic Jerry strategist and you got Kirk who's the operator yeah but he showed a slide up at his keynote that showed the evolution of Hadoop yes the core Hadoop and then he showed ya year-by-year and now we got that columns extending and you got new new components coming out take us through that that progression just go back a few years in and walk us through why is this going on so fast and what are the what's the what's the community doing and just yeah and what happened in 2008 it doesn't need was one mr. yeah when we when we started so I mean first 2008 when we started and what he was believing us back then that hey this thing is going to be big like we had the belief because we saw it happen firsthand but many folks were dismissive and no no no this this big data thing is a fat and nobody will care about it and look and behold today it's obviously proving not to be the case in terms of the maturity of the of the platform you're absolutely right i mean the slide that Mike showed should but only thirty percent of the contributions happening today are in the Hadoop core layer and and and and the overall kind of vision there is very system very similar to the operating system right except what this really is it's a data operating system right it's how to operate large amounts of data in a big data center so sorry it's like an operating system for many machines as opposed to Linux which does not bring system for a single machine right so Hadoop when it came out Hadoop is only the colonel it's only that inner layers which if you look at any opening system like windows or linux and so on the core functionality is two things storing files and running applications on top of these files that's what windows does that's what linux does that was loop does at the heart but then to really get an opening system to work you need many ancillary components around it that really make it functional you need libraries in it applications in eat integration IO devices etc etc and that's really what's happening in the hadoop world so started with the core OS layer which is Hadoop HDFS for storage MapReduce for computation but then now all of these other things are showing around that core kernel to really make it a fully functional extensible data opening system I which made a little replay button but let's just put the paws on that because this is kind of an important point in folks out there there's a lot of different and a lot of people and metaphors are used in this business so it's the Linux I want to be it's just like Red Hat right yeah we kind of use that term the business model is talk a little bit about that we just mentioned you know not like Linux just unpack that a little bit deeper for us what's the difference you mentioned Linux is can you replay what you just said that was really so I was actually talking about the similarity the similarity and then i can and then i can talk about the difference the similarity is the heart of Hadoop is a system for storing files which is sdfs and a system for running applications on top of these files which is MapReduce the heart of Linux is the same thing assistant for storing files which is a txt for and a system for scheduling applications on top of these files that's the same heart of Windows and so on the difference though so that's the similarity I got a difference is Linux is made to run on a single note right and when this is made to run on a single note Hadoop is really made to run on many many notes so hadoo bicester cares about taking a data center of servers a rack of servers or a data center of servers and having them look like one big massive mainframe built out of commodity hardware that can store arbitrary amounts of data and run any type of hence the new components like the hives of the world so now so now these new components coming up like high for example I've makes it easier to write queries for Hadoop it's it's a sequel language for writing queries on top of Hadoop so you don't have to go and write it in MapReduce which we call that assembly language of Hadoop so if you write it and MapReduce you will get the most flexibility you will get the most performance but only if you know what you're doing very similar when you do machine code if you do machine cool assembly you will able do anything but you can also shoot yourself in the foot sunbelt is that right the same thing with MapReduce right when you use hive hive abstracts that out for you so your rights equal and then hive takes care of doing all of the plumbing work to get that compulsion to map it is for you so that's hive HBase for example is a very nice system that augments a dupe makes it low latency and makes it makes it support update and insert and delete transactions which are HDFS does not support out of the box so small like a database it's more like my sequel yeah the energy of my sequel to Linux is very similar to hbase to HDFS and what's your take on were from you know your founders had on now yeah on the business model similarities and differences with with redhead yes so actually they are different I mean that the sonority the similarity stops at open source we are both open source right in the sense that the core system is open source is available out there you can look at the source code again the and so on the difference is with redhead red that actually has a license on their bits so there's the source code and then there's the bits so when Red Hat compiles the source code and two bits these bits you cannot deploy them without having a red hat license with us is very different is now we have the source code which is Apache is all in the patchy we compile the source code into a bunch of bits which is our distribution called cdh these bits are one hundred percent open-source 103 can deploy them use them you don't have to face anything the only reason why you would come back and pay us is for Cloudera enterprise which is really when you go operational when become operational a mission-critical cloud enterprise gives you two things first it gives you a proprietary management suite that we built and it's very unique to us nobody in the market has anything close to what we have right now that makes it easier for you to deploy configure monitor provision do capacity planning security management etc for a loop nobody else has anything close what we have right now for that management's that is unique to cloud area and not part of a patchy open source yes it's not part of the vet's office you only get that as a subscriber to cloud era we do have a free version of that that's available for download and it can run up to 15 hours just for you to get up and running quickly yeah and it's really very simple has a very simple installer like you should be able to go fire off that software and say install Hadoop these are one of my servers and would take care of everything else for you it's like having these installers you know when windows came out in the beginning and he had this nice progress bar and you can install applications very easily imagine that now for a cluster of servers right that's ready what this is the other reason why people subscribe to the cloud enterprise in addition to getting this management suite is getting our support services right and support is necessary for any software even if it's free even for hardware think if I give you a free airplane right now just comment just give it here you go here is an airplane right you can run this airplane make money from passengers you still need somebody to maintain their plane for you right you can still go higher your mechanics maybe we'd have a tweetup bummer you can hire your own mechanics to maintain that airplane but we tell you like if you subscribe with us as the mechanics for your airplane the support you will get with us will be way better than anything else and economics of it also would be way better than having your own stuff for doing the maintenance for that airplane okay final question and we got a one-minute because we slid you in real quick we're going to come back for folks armor is going to come back at two-thirty so come back its eastern time and we'll have a more in-depth conversation but just share with the folks watching your view of what's going on in the patchy and you know there's all these kind of weird you know Fudd being thrown around that clutter is not this and that and you guys clearly the leader we talked with Kirk about that we don't need to go into that but just surely this what's going on what's the real deal happening with Apache the code and you have a unique offering which I mean the real deal and I advise people to go look at this blog post that our CEO wrote called by Michaelson road called the community effect and the real deal is there is a very big healthy community developing the source code for Hadoop the core system which is actually fsm MapReduce and all the components around around that core system we at Cloudera employ a very large engineering organization and tactile engineering relation is bigger than many of these other companies in the space that's our engineering is bigger if you look at the whole company itself is much much bigger than any of these other players so we we do a lot of contributions and to the core system and to the projects around it however we are part of the community and we're definitely doing this with the community it's not just a clowder thing for the core platform so that that's the real deal all right yeah so here we are armor that co-founder congratulations great funding hundred L from accel partners who invested in you guys congratulations you're part of the community we all know that just kind of clarifying that for the record and you have a unique differentiator management suite and the enterprise stuff and say expand the experience experience yeah I think a huge differentiation we have is we have been doing this for three years I had over everybody else we have the experience across all the industries that matter so when you come to us we know how to do this in the finance industry in the retail industry and the health industry and the government so that that's something also that so I'll just for the audience out there arm is coming back at two third you're gonna go deeper in today's the highly decorated or a general because there is there a leak oh and thanks for the small extra info he's in the uniform to the cloud era logo yes sir affecting some of those for us to someday great so what you see you again love love our great great friend

>>Ed, welcome to the Cube. All right, Thanks guys. Good >>To see you. Thanks. Good to see you as well, >>John. Okay. Ed runs Biz dev for Cloudera, Industry veteran, worked at VMware. Ed, gotten to know you the past year. You guys have been doing great. What a difference one year makes, right? I mean, absolutely. Tell us, just let's start it off with what's happened in a year. I mean, you know, here at Hadoop World Cloudera, the ecosystem. Just give us your view of your perspective of what a difference one year makes. >>I think more than double is probably the, the fastest answer I could give you, which is, I mean, even looking around at the conference, it's, it itself is literally double from what it was last year. But in terms of the number of partners that have entered the market and really decided to work with, with Cloudera, but also in general, just the, the, the, the scope and size of the ecosystem itself, investors from every angle. You've got companies really well-branded marquee companies like Oracle coming into the mix and saying, Hey, Hadoop is the, is the real deal and we need to invest here. Marquee companies like IBM and EMC also doing the same. And of course, you know, as a result, you know, lots and lots of customer interest in the technology. And Cloudera's been fortunate to have been in the market early and really made the right investments with the right team. And so we're able to serve a lot of those customer needs. So it's been really, it's been a fantastic year for the company. >>So we had a great day yesterday with Cloudera. We had Kirk on, we had AER on twice, who by the way went viral with his modern warfare review, but we had Jeff Harmar Baer on, so we had pretty much the brain trust, Mike and Michaelson. Yep. The brain trust, the Cloudera. So we talked about the risk factors for Cloudera. Obviously you guys are number one, you've been kind of had untouchable lead and then all of a sudden boom competition. So Mike talked about that. So the strategy and the product side, they addressed, you're on the, the biz dev side, so you know, when you were number one, everyone wants to stand next to you and your phone rings off the hook from tier one partners all the way down to anyone's just getting in the business. Who wants a big data strategy on the execution. Now, what are you guys doing right now to, to continue your lead on the, on the sales marketing biz dev? I mean, I know you get the partner program, but what's your strategy for Phil, how to continue >>In that lead? The, the beautiful thing is honestly, our strategy hasn't changed at all. And I know that might sound counterintuitive, but we started off with a, a really crisp vision. And we want, what we wanna do is create a very attractive platform for partners. And, and, you know, one of the core, you know, sort of corporate strategy, Edix for Quadera is a recognition that the end of the day, the platform itself, Hado is an input into a solution. And Quadra is not likely to deliver the complete solution to market. Instead, it's going to be companies like Dell, for example, or it's going to be companies on the, on the ISV side like Informatica, which you're gonna deliver not only a base platform, but also the, the, the, the BI or analytics or data integration technologies on top. And as a result, what we've done is we've really focused in on creating a very attractive platform to vendors to build on. >>And one of the, I think one of the biggest misconceptions that I'm excited about that, you know, we are now having an opportunity to correct and that's a result, frankly, of the additional competitive dynamic. And I think the, the Wiki bond team pointed that out rather pointedly in their most recent articles. But is, is the sort of the lack of understanding around what CDH is and also the, some of the other investments that we're making to create a truly attractive platform for vendors to build on. And you know, I mean, I think you, you may have familiarity with exactly what CDH is, but for the sake of the audience here, what I'd like to do is say, say, first off, you know, first and foremost this is a hundred percent free in Apache license open source. But more importantly, it is everything that we build on the platform, meaning it's completely full featured. >>We put all of that out in the open. There's no turbo version of Hadoop that we've got hiding in the closet for our, our four pay customers. We're absolutely making investment. But I think, you know, when you think about it from the vendor perspective, and that's my bias. So I always think about, I treat all of the potential partners as really my customer. And when you think about it from that perspective, the things that matter most to vendors, number one, transparency. They need to understand exactly what our business model is, where we plan to make money and where we plan, don't make money. They need to know what we're really good at developing and what we're not so good at developing. And sort of where we draw the, the boundaries around that investment. I think, you know, a testament to that, for example, is tomorrow we're hosting a partner summit. >>So after this event, there are gonna be over 60 individuals, but they max two per per vendor. So we're gonna have over 35 vendors attending this event. And what they're gonna hear from is our entire management team is as deeply as we can and as open as we can. And you know, it, it's, it's, it's funny, you know, I think I saw this article in Forbes the other day about Cloudera. It was this, the title of the article was something like Spies Like Us. And it it, and it, what it highlighted was that some, some competitor of Cloudera had actually hired a, a, a competitive intelligence agency to go on and, and try to engage with, you know, and, and try to learn more about Cloudera. And so they went on to Cora, which we have a lot of active engineers on Cora. And they, you know, they went out and they asked a bunch of product related questions to our to, to someone on Cora. And our engineers immediately responded and they started being very transparent, completely open to what, what they're building and why they're building it. And the article basically summarized to say, Hey, you know what, you know, clearly some people aren't all that sophisticated in figuring out, you know, who they're talking to. And it's really important to do that. And they got the absolute wrong conclusion. Our engineers are actually encouraged and in fact rewarded for being extremely transparent in the market because we believe that it's transparency will ultimately allow us to be that platform vendor. >>And that's what attracts me. Jeff Hummer Bucker, who's active on core as well, he's recruiting there too. So you guys are out engaging the community. Yeah. So just let me just review, cuz this is cool that you're addressing this because Hortonworks and others, and I'll say the name Hortonworks has been pumping up the PR and creating a lot of noise around open and kind of Depositioning Cloudera. So you guys are completely open, a hundred percent Hadoop, open source, everything you build in, in every way, in every way. You have engineers building core, you've got tools and all the other stuff is being built in Cloudera then contributing into the community. >>Actually it's the other way around. We build it and the community@apache.org. So all of our technology is built@apache.org. It's, it's developed there. It's, it's, it's initially shared there. And then we have another team inside our company that pulls down bits from apache.org and then assembles them and integrates them. So it's really, it's a really key thing. And there's no, we do, we have no bits that we don't develop@apache.org that are part of cdh. So there, I mean there can be no mistake that everything that that is in CDH is everything we got. >>So CDH is free. >>It is free >>And every it's open source. It's open you >>Charge enterprise edition. That's the only thing that's different you guys charge >>Yeah. Which is your management console, right. >>Management >>Suite and all kinds of >>The tools. And that's not free and that's not open source. That's correct. Just to be clear. Yep. But so AER took us yesterday through, I don't know, half a dozen probably open source projects and then the one is the, the management console. And that's what you charge for, that's where you're gonna make money? >>Yeah. We, we manufacture, essentially we manufacture two products, but we sell one. So we manufacture the Quadera distribution, including Apache Duke, that's free. It's free. And then we all in open source and built it Apache and, and really heavily tested and well documented and, and, and well integrated. And then we also manufacture quadera Enterprise, which includes support and indemnities and warranties for that full featured CDH product and also includes the Quadra management suite. And >>That's a subscription. >>And that's a subscription. And so customers can, can run cdh, they can then buy and license Cloudera Enterprise and then someday if they decide they don't need Cloud Air Enterprise for whatever reason, if they're, if their team are scripting wizards and they've decided that they, you know, they don't need the extra opportunity for being able to track all of the things that Cloudier Enterprise allows 'em to, they can step off of cloud enterprise and continue to use full feature to do as they see >>Fit. So take an example of one of your partners that you announced this week. NetApp NetApp's gonna package your cdh CDH and the subscription Correct. To their, their customers. And then they're gonna let their channel either, you know, they'll pre bule it or do a reference architecture, you'll get paid for that subscription that's bundled. That's correct. Will make money off of its filers. Yes. And the customer gets a package solution. >>Exactly. Right. And in fact, that's another important thing that you know, is probably worth discussing, which is our go to market model. I don't know if you guys had a chance to talk with anyone yesterday on that, but I'm responsible for our channel strategy and one of the key things that we've agreed to as a, as a company is that we really are gonna go to market through channel partners. Yeah. >>We covered sgi, that was a great announcement. >>Yep, a >>Hundred percent >>As, as close as we can get. Okay. I mean that is our, he's >>Still doing the direct deals. You still have that belly to belly sales force because it's still early, right? So there's a mix of direct and indirects, not a pure >>Indirect, but as, and that's only, that's only as we're able to, until we're able to ramp up our partners fully, in which case we really want our, the current team that is working belly to belly to really support our partners. >>So all so VMware like, but I I wanted to ask >>You VMware, like NetApp, like very similar. >>Yes. Very, very NetApp. Like NetApp probably 75%, you know. Exactly. What are the similarities and differences with VMware in, in the ecosystem? You know it well, >>I do know it well. Yeah. I spent several years working at VMware and you know, I think, I mean the first and most obvious difference is that when you think, when I think about platform software in general, you know, there are a few different flavors of platform. One of the things that makes Hadoop very unique, very unique relative to other platforms is that it, not only is it Apache license, but it really is, it's dependent upon other external innovators to, to create the entire full value of the ecosystem. So, or, or you know, of the solution, right? So unlike for example, so like, let's take a platform like everyone's familiar with like Apple iTunes, right? What happens is Apple creates the platform and they put it kind of in the middle on top of and behind the scenes is the innovator, the app builder, he builds it, he publishes it on Apple, and then Apple controls all access to the >>Customer. Yep. >>That's not adu, right? Right. Let's take VMware or Red Hat for example. So in that case, they publish a platform they own and control the, the absolute structure and boundaries of what that platform is. And then on top of that application vendors build and then they deliver to the, the customer. But you know, at the end of the day, the, you know, the relationship really is, you know, from that external innovator straight down, and there's no, there's, you know, there's no way for them to really modify the platform. And you take kadu, which is a hundred percent Apache licensed to open source, and you really, you really open up the opportunity for vendors to take ADU as an input into their system and then deliver it straight to their customers or for customers themselves to say, I want straight up vanilla Hadoop, I'm gonna go this way and I'm gonna add on my own be app of applications. So you're, we're seeing all sorts of variants right now in the market. We're seeing software as a service being delivered that's based on Hadoop. There was a great announcement a few weeks ago from a company named Tidemark, previously known as Per Ferry, and they're taking all of cdh. They're, but they're, the customer doesn't know that they're, and what they're doing is they're delivering software as a, as a service based on adu. >>Yeah. So I mean, you know, we are psyched that you're clearing this up because obviously we're seeing, we saw all that stuff, but I really think that indirect strategy as a home run, I'm said it when we talked about the SGI thing, and it's accelerates you guys, you enable, but you know, channels is an interesting business. I mean the, you have to have pure transparency as you mentioned, but they need comp, people need confidence and, and they don't, they worry about competition. So channel conflict is always the big issue, right? Right. Is Cloudera gonna compete with us? So talk that, talk us through that, that strategy. So obviously the market's growing, new solutions are coming around the corner, These guys wanna make money. I mean channel, it's all about, you know, what have you done for me today? >>Right. That, that is exactly right. And you know what, that's, that's why we decided on the channel strategy specifically around our product is because we recognize that each and every single potential channel partner of ours can actually innovate themselves on top of and create differentiation. And we're not an obstacle to that process. So we provide our platform as an input and we're capable of managing that platform, but ultimately creating differentiation is all in the hands of our partners and we're there to help, but it gives them wide latitudes. So take for example, the differences between Dell and NetApp solution, they are very different reference architectures leveraging the exact same platform. >>Yeah. And they have to make money. I mean, the money making side of it is, you know, people have kind of, don't really talk about that, but, you know, channel partners loyalty is all about who can help them make cash. Right. Right. Exactly. What are you hearing there in terms of the ecosystem? Has the channels Bess and the partnerships or the more as size, what's the profile of your, of your partners? I mean, can you give us the breakdown of Sure. We have what you look like from Dell. We know Dell and NetApp, but they're gear guys. But, >>So a big part of our strategy is to work with IHVs and then Ihv resellers. So you're talking about companies like Dell, like sgi, like NetApp, for example, independent hardware manufacturers. Another part of our strategy though, and a key, a key requirement from our customers is to work with a whole variety of ISVs, particularly in the data management space. So you've got really marquee companies in the database space like IBM's Netezza or Terradata. You've got in companies like Informatica and Talent, you've got companies on the BI side, like Micro Strategy and Tableau. These kinds of technologies are currently in play at our customers that have made substantial investments. And ultimately they want to be able to continue to leverage them with the data platform, whichever data platform that they end up choosing. So we invest considerably there. A big part of that has been our Qera Connect partner program. >>It's an opportunity for us to help the customer to understand which technologies work and work well with, with our platform. It's also an opportunity for us to engage directly and assist the vendor. So one of the things that we created as part of that program is first off, immediate and absolute discounted access to any part of our training. Second, lots of free information, access to our world class knowledge base, access to our support team, direct access to our support team. The, the vendors also get access to a developer portal that would created specifically for them. So if, if you think about it this way, Hadoop gets built@apache.org, but solutions don't get built@apache.org. Right? So what we're really trying to help our vendors do is be able to develop their solutions by having real clear visibility to the API level points of Hadoop. They're not necessarily interested in, in trying to figure out how, how MR two works or, or contributing code to that. >>But they absolutely are interested in figuring out how to run and execute their software on top of a do. So when I think about the things that matter to create an attractive platform, and at the end of the day, that's what we're really trying to do, first and foremost is transparency, right? Second really ultimately is really clear visibility to the APIs and the documentation of that platform so that there's no ambiguity that the, the vendor, this is the user in this case, it's building a solution, can absolutely absorb all of that content really cleanly. And then ultimately, you know, I think it's customers, right? Users of the technology. And I think our download numbers are, they're, they're, there's something we're proud of. >>We, we are, we're hearing good feedback. I mean, the feedback we hear from folks is, yeah, I love how they take away the complexity of handling versions and whatnot. So, you know, I think totally is a great way, The CDH is a great bundle. You know, the questions that we have for you is what are you hearing about the other products, the ones you're actually selling? Does that create the lock in? So that's something that we asked Elmer directly, you know, is that the, is that the lock in and what happens when the deployments get so big? You know, >>I mean, the way, I >>Don't really see an issue there, but that's what people are afraid of. I mean, that's kind of the, it's more of fear. I mean, some people can use that fear and, and >>Play against. I think, I think what we've seen in other markets is that management tools are ultimately interchangeable. And the only way that we're gonna retain a customer is by out innovating the competition on the management side, the lock in, the lock in component, as you will, is not really part of our business model. It's very difficult to achieve with an Apache licensed platform and a management suite that sits on outside of that, that licensed artifact. So ultimately, if we don't owe innovate, we're gonna lose. So we're working on the innovation and that's, >>How's the hiring go? Oh, go ahead. >>I, I had a, I wanted to come back to that. You mentioned download numbers. Can you share the numbers >>With the others? I can't, I can't share them publicly, but what I can say is that they've been on an incredible trajectory. Okay. That, and what we've seen is month to month growth rates, every single month we continue to see really significant growth rates. >>And then I, I had a follow up question on, you talked about the, the partner program. How do you manage all those partners? How do you prioritize them? I mean, the, the hardware vendors, it's pretty easy. There's a few big whales, but the, the ISVs, they're, I mean, your phone, like John said, must be ringing off the hook. How do you juggle that and, and can you do it better than VMware, for example? >>Well, we do it, we handle the, the influx of partner interest in two ways. One, we've been relatively structured with the Quadra Connect partner program, and we make real investments there. So we have dedicated folks that are there to help. We have our engineering team that is actually feeding inputs, and we're, we're leveraging some of the same resources that we provide to our customers and feeding those directly to our partners as well. So that's one way that we handle it. But the other way, frankly, is, I mean, customers help here having access to and, and a real customer population, they help you set priorities pretty quickly. And so we're able to understand what we track in inside of our systems, which, which technologies our customers use. So we know, for example, what percentage of our customer base has has SaaS installed, and we'd like to use that with a, do we know which percentage of our customer base is currently running on Red Hat and which is not. So having core visibility, that helps us to prioritize. >>How about incentives? I mean, obviously channel businesses as, like I said, very fickle people, you know, you know the channel business, I spent, you know, almost a decade in, in HP's channel organization and you know, you have to provide soft dollars. There's a lot of kind of blocking and tackling. You guys are clearly building out that tier one with the SGIs of the world and other vendors, and then get the partner connect program for kinda everyone else who's gonna grow up into a tier one. Yeah. Training, soft dollars incentives. You guys have that going yet, or is the >>Roadmap? We do. And in fact, you know, in addition to the sort of more wide publicized relationships you see with companies like Dell and Cloudera, we're actually building a very successful network of independent ours. And the VAs in general. What we do is we prioritize and select ours based on the top level relationships that we have, because that really helps them to hone in. They've got validation from, for, for example, someone that sells resells. SGI is an organization that now is heard really loud and clear from sgi the, the specific platform configurations that they're gonna represent to their customers, and they ultimately wanna represent them directly. And how we make investments is we're, I mean, the investments we're making ultimately in our sales org, I'm gonna lose the word direct from that conversation because our sales org is being built to help our partners succeed. And I think that's where you're, >>The end game is to go completely indirect and have all your support go into managing that channel. What, what's the mix of revenue generation from your partners? Obviously as a, you know, with sgi they have pre-built channels that you're funneling in, you got NetApp and they're wrapping their products and services around it. How much is services and how much is a solution specifically? Do you have any visibility or a feel for that at this >>Point? I mean, services relative to, You mean for Cloudera particularly, or for our >>Partner? No, for the, for the part. I mean, if I'm a partner, I'm like, Hey, okay, I'm gonna use cdh. I'm on bundles. I don't mind paying you a wholesale if I'm gonna be able to throw off more cash on, you know, deployment and cloud and services, et cetera. And or if I'm a product manufacturer, a product, a solution I fund you in. I need to have that step >>Up a absolutely great question. So depending upon the partner we're dealing with, they like to either monetize or generate their revenue in different ways. So for example, NetApp, NetApp is a company that has very limited services, and their, their focus is a business is really on delivering hardware and software configured together. And they, they rely heavily on a services channel to fulfill, you take in, in contrast to a company like, for example, Dell, which has a very successful services business and really is excited about having service offerings around Hadoop. So it depends upon the company. But when we talk about our VAR channel in particular, one of the things that's a, in an internal acronym, but I'll share it publicly here. We, we call our, our supervisors and what makes them super and why, why we've selected the, the, the organizations that we are selecting right now to be our bar is that they not only can fulfill orders for hardware and software, particularly data management or infrastructure software, but they also have a services team on hand because we recognize that there is a services opportunity with every Hadoop deployment. And we want our partners to have that. So as an organization, we're structuring our, our services staff to facilitate and enable our partners not to be sold >>Directly. Okay. So that's the follow up that I had tomorrow when the partners ask, Okay, what do you want to be when you're really growing up? Is it services, is it software? >>Is it Carter is a software company, Crewing through, >>Oh, er we kind of got ett, well, he didn't say it, but we said it's a operating system. Yeah. >>So given that, so given that, I mean, you can make money on services, right? People need services. Okay, great. >>And partners will make that money for >>Us. And, and you know, early on you, you had to do some of that and you're, you've been very clear about where it's going. It's hard to make money in software when you're given all the software away for free. Well, >>We're not giving all >>The software. I know you've got that piece now, but, but here's my question. As ADU goes into the enterprise, which is clearly doing, is that that whole bundling, like what you're doing with NetApp is that really ultimately how you're gonna start to, to monetize and, and successfully monetize your software, >>Is by pushing it through >>Yeah. Packaging and that bundling that solution, in other words, our enterprise customer is gonna be more receptive to that solution package than say the, the fridge that has been using Hadoop for the last >>Two or three years. I think there's no question about it. If you, if you look at what Quadra Enterprise does, I don't know if, if you've had a chance to attend any of the sessions, maybe where Quadra Enterprise is, is currently being demonstrated. >>We just had Alex Williams as about on the air. Did a review, >>Okays >>Been going good and impressed with it? >>Yeah, there's no question about it. And I, I don't, and Alex probably hasn't seen the new version that, you know, our team is working on and it's, you know, quietly working on in the background. Incredible, incredible developments in, And that's really a function of when you have direct access to so many customers and you're getting so much input and feedback and they're the kinds of access to the kinds of customers we ultimately wanna serve. So real enterprises, what you get is really fast innovation from a really talented team that knows to do well. I mean, we are years ahead on the management side. Absolutely. Years ahead. And you know, I, so I was a guy who worked at VMware for several years, and I can tell you that while the hypervisor itself was, was a core component to VMware success, the monetization strategy was very squarely around vCenter. Yeah. Yes. Out. And we're not ignorant to that. Yeah. >>You can learn a lot from your VMware experience cause absolutely. The, the market changed significantly. And, you know, >>There were free hypervisors available all of a sudden. VMware itself had a free hypervisor. We had, we had VMware server and we had also our VMware player products, right? And those were all free. And they were very good technology. They were the best available in the market for free. And they were better, in my opinion, they were better than anything else. Open or not. No, our time >>Too, since still >>Are, they were, they, they were, they were superior products in every way. But yet how VMware was successful was recognizing that in the interest of running a production environment with an sola, you need management software. And they've also built the best management software. And there's no question that we understand that strategy and >>A phenomenal ecosystem. I mean, there's the >>Similarities, right? They did. And you, and the, and the ecosystem was in, in large part predicated on transparency act, very clear access to the APIs and a willingness to help partners be successful with those APIs. And ultimately drawing a very tight box about what the company wanted to do and didn't want to do. >>I mean, look, you're not, you're not gonna lose friends when you make people money. That's my philosophy, right? I agree. So when you're in that business where you can come in and enable a channel and have options on your growth strategy, which you do, I mean, you can say, Okay, bundling, I can go, you know, I can have this sold direct, or at least as long as you've got the options, you can grow with that market. So, you know, again, the, it's a money making opportunity for the partnerships, but there's >>More than that, right? Because you mentioned Apple, iTunes, Oracle's another example. And the way you make money with Apple and the way you make money with Oracle is different than the way you make money with VMware and presumably Cloudera. >>Yeah, I mean, our strategy is, if you make this base platform easier to install, more reliable, and you make it ultimately, you know, really rock solid from an integration standpoint, more people are gonna use it. So what happens when more people use it? First thing that happens is more solu, it's out there. So it's more solutions get built. When more solutions get built, then you see more clusters get developed. When more clusters are out there, they start to move into production. And then they, they need an sla when they need an sla, Cloudera and Enterprise gets purchased. But along that path, when those solutions got built, guess what else happened? More cloud units got sold, more servers got sold, more networking. Gear got sold, more services got created. You get, you get ultimately more operating systems got sold, more databases, got data into them, more BI clients got created. The ecosystem is deep and rich, and a lot of people stand to make money hop >>In people. The water's great. >>What about, what about support? Okay, so, you know, the other guys are saying, We're just gonna make money on support. I mean support, You guys still are doing support, right? I mean, you're selling >>Support. There's no question. Quad Enterprise contains two things, right? The management suite and support this is, this is not uncomplicated technology and having a world class support team is of value and customers do want to pay for that value. But we, we believe that support in and of itself is not enough. And that ultimately, when you wanna deliver an sla, being able to call when you have a problem is the wrong approach. You want to be proactive and understand the problem well in advance of it actually occurring. That's really important. When, for example, if you're a customer, a lot of our customers have a data pipeline that >>They, they're building out basically. I mean they're, it's, it's new and emerging. So they're building out, It's not just support. They need other tools. >>Yeah. And it building out I think is an understatement for some, where some of our customers are. I mean, when you have a thousand node cluster that you're operating Yeah, Yeah. To, that's mission critical to your business. I don't think that's building out anymore. I think that's an investment in a technology that's mission critical. And what you wanna see when you have a mission critical technology is you wanna know early and often when a problem may emerge. Not, Oh, oh my gosh, we have a problem now I need to go, you know, phone a friend, phone a friend is, is kind of a last resort. We offer that. But what we really do is, and that's the, that's the beau, That's why we don't decouple our support from our management suite. It's not about phone a friend. It's about understanding the operation of your cluster the entire way through 24. >>And the other op the other thing that people don't talk about in the support is that with open source, a lot of support gets handled in the community as well. So like That's right. So in a way, you're already pre cannibalized with the community >>By us and by others. Absolutely. But you, you'll never see to that Forbes article I referenced earlier. You will never, you will not see our, our engineers are not trained to withhold information and under any circumstances to anyone free or paying. Yeah. This is about getting, You >>Don't wanna hold back your business. I mean, you have nothing to hide. It's open rights. >>Open source. It's open. And we're here to help. We're here to help. Whether you're paying us or not, >>This is value to that anticipatory >>Remediation. Yeah. That's what you're packaging and clearing up the air. Great. Great cube guest, you're awesome on the cube. Gonna have you more on because great to get the info out there. Really impressed with the channel strategy. Love the love the growth strategy, the cloud air. You guys are really impressive. I'm really, really impressed to see that you guys got everything pumping on all cylinders, Kirk, and you are cranking out on the business execution. We're in the team playing this chest mask open. Perfect. So great. Congratulations. Great. Thanks. You guys just in the financing. >>Oh, thank you as >>Well. Hey, Ed from Cloudera, clearing it up here inside the cube. We're gonna take a quick break and we'll be right back with more video. >>Thanks guys. All right.

>>so erin you're a technique for a Cloudera, you're a whiz kid from Brown, you have, how many Brown people are engineers here at Cloudera >>as of monday, we have five full timers and two interns at the moment and we're trying to hire more all the time. >>Mhm. So how many interns? >>Uh two interns from Brown this this summer? A few more from other schools? Cool, >>I'm john furry with silicon angle dot com. Silicon angle dot tv. We're here in the cloud era office in my little mini studio hasn't been built out yet, It was studio, we had to break it down for a doctor, ralph kimball, not richard Kimble from uh I called him on twitter but coupon um but uh the data warehouse guru was in here um and you guys are attracting a lot of talent erin so tell us a little bit about, you know, how Claudia is making it happen and what's the big deal here, people smart here, it's mature, it's not the first time around this company, this company has some some senior execs and there's been a lot, a lot of people uh in the market who have been talking about uh you know, a lot of first time entrepreneurs doing their startups and I've been hearing for some folks in in the, in the trenches that there's been a frustration and start ups out there, that there's a lot of first time entrepreneurs and everyone wants to be the next twitter and there's some kind of companies that are straddling failure out there? And and I was having that conversation with someone just today and I said, they said, what's it like Cloudera and I said, uh, this is not the first time crew here in Cloudera. So, uh, share with the folks out there, what you're seeing for Cloudera and the management team. >>Sure. Well, one of the most attractive parts about working Cloudera for me, one of the reasons I, I really came here was have been incredibly experienced management team, Mike Charles, they've all there at the top of this Oregon, they have all done this before they founded startups, Growing startups, old startups and uh, especially in contrast with my, the place where I worked previously. Uh, the amount of experience here is just tremendous. You see them not making mistakes where I'm sure others would. >>And I mean, Mike Olson is veteran. I mean he's been, he's an adviser to start ups. I know he's been in some investors. Amer was obviously PhD candidates bolted out the startup, sold it to yahoo, worked at, yahoo, came back finish his PhD at stanford under Mendel over there in the PhD program over this, we banged in a speech. He came back entrepreneur residents, Excel partners. Now it does Cloudera. Um, when did you join the company and just take us through who you are and when you join Cloudera, I want your background. >>Sure. So I, I joined a little over a year ago is about 30 people at the time. Uh, I came from a small start up of the music online music store in new york city um uh, which doesn't really exist all that much anymore. Um but you know, I I sort of followed my other colleagues from Brown who worked here um was really sold by the management team and also by the tremendous market opportunity that that Hadoop has right now. Uh Cloudera was very much the first commercial player there um which is really a unique experience and I think you've covered this pretty well before. I think we all around here believe that uh the markets only growing. Um and we're going to see the market and the big data market in general get bigger and bigger in the next few years. >>So, so obviously computer science is all the rage and and I'm particularly proud of hangout, we've had conversations in the hallway while you're tweeting about this and that. Um, but you know, silicon angles home is here, we've had, I've had a chance to watch you and the other guys here grow from, you know, from your other office was a san mateo or san Bruno somewhere in there. Like >>uh it was originally in burlingame, then we relocate the headquarters Palo Alto and now we have a satellite up in san Francisco. >>So you guys bolted out. You know, you have a full on blow in san Francisco office. So um there was a big busting at the seams here in Palo Alto people commuting down uh even building their burning man. Uh >>Oh yeah sure >>skits here and they're constructing their their homes here, but burning man, so we're doing that in san Francisco, what's the vibe like in san Francisco, tell us what's going on >>in san Francisco, san Francisco is great. It's, I'm I live in san Francisco as do a lot of us. About half the engineering team works up there now. Um you know we're running out of space there certainly. Um and you're already, oh yeah, oh yeah, we're hiring as fast as we absolutely can. Um so definitely not space to build the burning man huts there like like there is down, down in Palo Alto but it's great up there. >>What are you working on right now for project insurance? The computer science is one of the hot topics we've been covering on silicon angle, taking more of a social angle, social media has uh you know, moves from this pr kind of, you know, check in facebook fan page to hype to kind of a real deal social marketplace where you know data, social data, gestural data, mobile data geo data data is the center of the value proposition. So you live that every day. So talk about your view on the computer science landscape around data and why it's such a big deal. >>Oh sure. Uh I think data is sort of one of those uh fundamental uh things that can be uh mind for value across every industry, there's there's no industry out there that can't benefit from better understanding what their customers are doing, what their competitors are doing etcetera. And that's sort of the the unique value proposition of, you know, stuff like Hadoop. Um truly we we see interest from every sector that exists, which is great as for what the project that I'm specifically working on right now, I primarily work on H. D. F. S, which is the Hadoop distributed file system underlies pretty much all the other um projects in the Hadoop ecosystem. Uh and I'm particularly working with uh other colleagues at Cloudera and at other companies, yahoo and facebook on high availability for H. D. F. S, which has been um in some deployments is a serious concern. Hadoop is primarily a batch processing system, so it's less of a concern than in others. Um but when you start talking about running H base, which needs to be up all the time serving live traffic than having highly available H DFS is uh necessity and we're looking forward to delivering that >>talk about the criticism that H. D. F. S has been having. Um Well, I wouldn't say criticism. I mean, it's been a great, great product that produced the HDs, a core parts of how do you guys been contributing to the standard of Apache, that's no secret to the folks out there, that cloud area leads that effort. Um but there's new companies out there kind of trying a new approach and they're saying they're doing it better, what are they saying in terms and what's really happening? So, you know, there's some argument like, oh, we can do it better. And what's the what, why are they doing it, that was just to make money do a new venture, or is that, what's your opinion on that? Yeah, >>sure. I mean, I think it's natural to to want to go after uh parts of the core Hadoop system and say, you know, Hadoop is a great ecosystem, but what if we just swapped out this part or swapped out that part, couldn't couldn't we get some some really easy gains. Um and you know, sometimes that will be true. I have confidence that that that just will not simply not be true in in the very near future. One of the great benefits about Apache, Hadoop being open source is that we have a huge worldwide network of developers working at some of the best engineering organizations in the world who are all collaborating on this stuff. Um and, you know, I firmly believe that the collaborative open source process produces the best software and that's that's what Hadoop is at its very core. >>What about the arguments are saying that, oh, I need to commercialize it differently for my installed base bolt on a little proprietary extensions? Um That's legitimate argument. TMC might take that approach or um you know, map are I was trying to trying to rewrite uh H. T. F. >>S. To me, is >>it legitimate? I mean is there fighting going on in the standards? Maybe that's a political question you might want to answer. But give me a shot. >>I mean the Hadoop uh isn't there's no open standard for Hadoop. You can't say like this is uh this is like do compatible or anything like that. But you know what you can say is like this is Apache Hadoop. Uh And so in that sense there's no there's no fighting to be had there. Um Yeah, >>so yeah. Who um struggling as a company. But you know, there's a strong head Duke D. N. A. At yahoo, certainly, I talked with the the founder of the startup. Horton works just announced today that they have a new board member. He's the guy who's the Ceo of Horton works and now on bluster, I'm sorry, cluster announced they have um rob from benchmark on the board. Uh He's the Ceo of Horton works and and one of my not criticisms but points about Horton was this guy's an engineer, never run a company before. He's no Mike Olson. Okay, so you know, Michaelson has a long experience. So this guy comes into running and he's obviously in in open source, is that good for Yahoo and open sources. He they say they're going to continue to invest in Hadoop? They clearly are are still using a lot of Hadoop certainly. Um how is that changing Apache, is that causing more um consolidation, is that causing more energy? What's your view on the whole Horton works? Think >>um you know, yahoo is uh has been and will continue to be a huge contributor. Hadoop, they uh I can't say for sure, but I feel pretty confident that they have more data under management under Hadoop than anyone else in the world and there's no question in my mind that they'll continue to invest huge amounts of both key way effort and engineering effort and uh all of the things that Hadoop needs to to advance. Um I'm sure that Horton works will continue to work very closely with with yahoo. Um And you know, we're excited to see um more and more contributors to to Hadoop um both from Horton works and from yahoo proper. >>Cool, Well, I just want to clarify for the folks out there who don't understand what this whole yahoo thing is, It was not a spin out, these were key Hadoop core guys who left the company to form a startup of which yahoo financed with benchmark capital. So, yahoo is clearly and told me and reaffirm that with me that they are clearly investing more in Hadoop internally as well. So there's more people inside, yahoo that work on Hadoop than they are in the entire Horton's work company. So that's very clear. So just to clear that up out there. Um erin. so you're you're a young gun, right? You're a young whiz like Todd madam on here, explain to the folks out there um a little bit older maybe guys in their thirties or C IOS a lot of people are doing, you know, they're kicking the tires on big data, they're hearing about real time analytics, they're hearing about benefits have never heard before. Uh Dave a lot and I on the cube talk about, you know, the transformations that are going on, you're seeing AMC getting into big data, everyone's transforming at the enterprise level and service provider. What explains the folks why Hadoop is so important. Why is that? Do if not the fastest or one of the fastest growing projects in Apache ever? Sure. Even faster than the web server project, which is one of the better, >>better bigger ones. >>Why is the dupes and explain to them what it is? Well, you know, >>it's been it's pretty well covered that there's been an explosion of data that more data is produced every every year over and over. We talk about exabytes which is a quantity of data that is so large that pretty much no one can really theoretically comprehend it. Um and more and more uh organizations want to store and process and learn from, you know, get insights from that data um in addition to just the explosion of data um you know that there is simply more data, organizations are less willing to discard data. One of the beauties of Hadoop is truly that it's so very inexpensive per terabyte to store data that you don't have to think up front about what you want to store, what you want to discard, store it all and figure out later what is the most useful bits we call that sort of schema on read. Um as opposed to, you know, figuring out the schema a priority. Um and that is a very powerful shift in dynamics of data storage in general. And I think that's very attractive to all sorts of organizations. >>Your, I'll see a Brown graduate and you have some interns from Brown to Brown um, Premier computer science program almost as good as when I went to school at Northeastern University. >>Um >>you know, the unsung heroes of computer science only kidding Brown's great program, but you know, cutting edge computer science areas known as obviously leading in a lot of the computer science areas do in general is known that you gotta be pretty savvy to be either masters level PhD to kind of play in this area? Not a lot of adoption, what I call the grassroots developers. What's your vision and how do you see the computer science, younger generation, even younger than you kind of growing up into this because those tools aren't yet developed. You still got to be, you're pretty strong from a computer science perspective and also explained to the folks who aren't necessarily at the browns of the world or getting into computer science, what about, what is that this revolution about and where is it going? What are some of the things you see happening around the corner that that might not be obvious. >>Sure there's a few questions there. Um part of it is how do people coming out of college get into this thing, It's not uh taught all that much in school, How do how do you sort of make the leap from uh the standard computer science curriculum into this sort of thing? And um you know, part of it is that really we're seeing more and more schools offering distributed computing classes or they have grids available um to to do this stuff there there is some research coming out of Brown actually and lots of other schools about Hadoop proper in the behavior of Hadoop under failure scenarios, that sort of stuff, which is very interesting. Google uh actually has classes that they teach, I believe in conjunction with the University of Washington um where they teach undergraduates and your master's level, graduate students about mass produced and distributed computing and they actually use Hadoop to do it because it is the architecture of Hadoop is modeled after um >>uh >>google's internal infrastructure. Um So you know that that's that's one way we're seeing more and more people who are just coming out of college who have distributed systems uh knowledge like this? Um Another question? the other part of the question you asked is how does um how does the ordinary developer get into this stuff? And the answer is we're working hard, you know, we and others in the hindu community are working hard on making it, making her do just much easier to consume. We released, you cover this fair bit, the ECM Express project that lets you install Hadoop with just minimal effort as close to 11 click as possible. Um and there's lots of um sort of layers built on top of Hadoop to make it more easily consumed by developers Hive uh sort of sequel like interface on top of mass produce. And Pig has its own DSL for programming against mass produce. Um so you don't have to write heart, you don't have to write straight map produced code, anything like that. Uh and it's getting easier for operators every day. >>Well, I mean, evolution was, I mean, you guys actually working on that cloud era. Um what about what about some of the abstractions? You're seeing those big the Rage is, you know, look back a year ago VM World coming up and uh little plugs looking angle dot tv will be broadcasting live and at VM World. Um you know, he has been on the Q XV m where um Spring Source was a big announcement that they made. Um, Haruka brought by Salesforce Cloud Software frameworks are big, what does that look like and how does it relate to do and the ecosystem around Hadoop where, you know, the rage is the software frameworks and networks kind of collide and you got the you got the kind of the intersection of, you know, software frameworks and networks obviously, you know, in the big players, we talk about E M C. And these guys, it's clear that they realize that software is going to be their key differentiator. So it's got to get to a framework stand, what is Hadoop and Apache talking about this kind of uh, evolution for for Hadoop. >>Sure. Well, you know, I think we're seeing very much the commoditization of hardware. Um, you just can't buy bigger and bigger computers anymore. They just don't exist. So you're going to need something that can take a lot of little computers and make it look like one big computer. And that's what Hadoop is especially good at. Um we talk about scaling out instead of scaling up, you can just buy more relatively inexpensive computers. Uh and that's great. And sort of the beauty of Hadoop, um, is that it will grow linearly as your data set as your um, your your scale, your traffic, whatever grows. Um and you don't have to have this exponential price increase of buying bigger and bigger computers, You can just buy more. Um and that that's sort of the beauty of it is a software framework that if you write against it. Um you don't have to think about the scaling anymore. It will do that for you. >>Okay. The question for you, it's gonna kind of a weird question but try to tackle it. You're at a party having a few cocktails, having a few beers with your buddies and your buddies who works at a big enterprise says man we've got all this legacy structured data systems, I need to implement some big data strategy, all this stuff. What do I do? >>Sure, sure. Um Not the question I thought you were going to ask me that you >>were a g rated program here. >>Okay. I thought you were gonna ask me, how do I explain what I do to you know people that we'll get to that next. Okay. Um Yeah, I mean I would say that the first thing to do is to implement a start, start small, implement a proof of concept, get a subset of the data that you would like to analyze, put it, put Hadoop on a few machines, four or five, something like that and start writing some hive queries, start writing some some pig scripts and I think you'll you know pretty quickly and easily see the value that you can get out of it and you can do so with the knowledge that when you do want to operate over your entire data set, you will absolutely be able to trivially scale to that size. >>Okay. So now the question that I want to ask is that you're at a party and I want to say, what do you >>do? You usually tell people in my hedge fund manager? No but seriously um I I tell people I work on distributed supercomputers. Software for distributed supercomputers and that people have some idea what distributed means and supercomputers and they figure that out. >>So final question for I know you gotta go get back to programming uh some code here. Um what's the future of Hadoop in the sense of from a developer standpoint? I was having a conversation with a developer who's a big data jockey and talking about Miss kelly gets anything and get his hands on G. O. Data, text data because the data data junkie and he says I just don't know what to build. Um What are some of the enabling apps that you may see out there and or you have just conceiving just brainstorming out there, what's possible with with data, can you envision the next five years, what are you gonna see evolve and what some of the coolest things you've seen that might that are happening right now. >>Sure. Sure. I mean I think you're going to see uh just the front ends to these things getting just easier and easier and easier to interact with and at some point you won't even know that you're interacting with a Hadoop cluster that will be the engine underneath the hood but you know, you'll you'll be uh from your perspective you'll be driving a Ferrari and by that I mean you know, standard B. I tool, standard sequel query language. Um we'll all be implemented on top of this stuff and you know from that perspective you could implement, you know, really anything you want. Um We're seeing a lot of great work coming out of just identifying trends amongst masses of data that you know, if you tried to analyze it with any other tool, you'd either have to distill it down so far that you would you would question your results or that you could only run the very simplest sort of queries over um and not really get those like powerful deep insights, those sort of correlative insights um that we're seeing people do. So I think you'll see, you'll continue to see uh great recommendations systems coming out of this stuff. You'll see um root cause analysis, you'll see great work coming out of the advertising industry um to you know to really say which ad was responsible for this purchase. Was it really the last ad they clicked on or was it the ad they saw five weeks ago they put the thought in mind that sort of correlative analysis is being empowered by big data systems like a dupe. >>Well I'm bullish on big data, I think people I think it's gonna be even bigger than I think you're gonna have some kids come out of college and say I could use big data to create a differentiation and build an airline based on one differentiation. These are cool new ways and, and uh, data we've never seen before. So Aaron, uh, thanks for coming >>on the issue >>um, your inside Palo Alto Studio and we're going to.

okay we're back at SiliconANGLE comms continues coverage of vm world 2010 in the cube with a discussion with venture capitalists who are investing in all the next hot startups software companies infrastructure companies we all know three par two billion dollars is big big wins out there and data domain was a big acquisition and we're here with three venture catalyst to my left is charles beeler from El Dorado ventures and he's done a bunch of storage cloud deals Pete sonsini from NEA and ping li from accel partners so guys welcome welcome to the segment so first question we just go down the line real quick on a scale of 1 to 10 how would you rate the overall investment climate for startups in cloud startups the cloud I'd say pretty close to seven eight nine you know the negative right now is a little bit more around the funding environment than the opportunity for the companies and I think you as venture guys you really have to go to look past that and see the opportunities for the businesses and fortunately got three groups here of capital put to work so you can actually fund these things it's the biggest challenge we're seeing out there right now great Pete yeah i agree i mean it's it's definitely 89 if there's a hot sector or enterprise related it's certainly cloud cloud related you the backdrop is relates to overall venture climate you know casa paypal and affects the investment in this area a little bit but everybody knows this is a big change the ecosystem is creating tons of opportunities for new businesses and so everybody's very focused on it really minute they're missing it yeah i agree i think in terms of areas of excitement enthusiasm with entrepreneurs it's definitely nine or ten i think it it's not just on the infrastructure side as well i think if you look across you know our portfolio i'm sure it's the same with Pete and Charles you know three quarters of the companies are actually built on cloud infrastructure now so there's no more servers or data rooms at any of the startups and we work with so i think there's up and down the stack from the applications down the infrastructure there's a lot of enthusiasm for what the cloud can bring great same same same process right down the line and another question is how do you guys evaluate a company these days because it's so easy to fake out a VC if they're not smart about throwing some clouds stuff up there making it look great at a rails front end doing some voodoo I mean is there a new model of evaluating an entrepreneur or startup the old days it was hey what's Stanford at a PhD look at this unique IP with a patent now it's a really fast Market things going crazy how do you guys look at deals and evaluate entrepreneurs and startups I for me it still comes down to the team and I don't really care where they went to school I care what they know about the market they're going after you know to the extent they're going they're going after something in virtualization and cloud layer storage the pedigree matters a lot at what are they done before that shows they understand the market they're going after I'm hoping that the operators we back know a lot more about the market they're pursuing that I could so if they're really good at it you know i'm not going to keep up on that piece of it i just want to make sure they understand it to understand how they fit the ecosystem you can drive it and the stage we invest it really is all about the team because good teams have good ideas and they know how to pursue them he yeah I mean you can be aware of the trends but you don't know everything about everything there's no way you possibly can so you you try to narrow it down to you know generally speaking it's its people its markets its business traction is technology I think at the end of the day it comes back to those same four things most the time and everybody's got their own personal filter as to what they like to optimize around I think for the deals that that will do in one of those four categories you know and others i think one of them really has to be out off the charts to grab your attention to want to do the deal but i think it still goes back to you know people technology markets and and the passion behind the entre nerd is the ant really have that privileged insight and the opportunity they really know this market and this opportunity and how to exploit it better than everybody else and being the gauge of that is you know at the end of the day that that's probably the most important thing because as I say you're not going to know you're not going to know everything everything about every and you can't expect you anywhere close to that so you try to find those those individuals that really do have that key in so it inside the exploited opportunity so that's how we would look at it today thank you yeah i agree i think the fundamentals of what we look for in a company hasn't really changed i think the sectors and trans as you as you noted have changed a lot and i think there's still the constant tension that we see between kind of features and actual category defining breakdown companies but i think that is a you know a lot of times when you see a new market like cloud computing the first wave of a lot of the ideas are more features or trying to evolving existing platforms and then the next generation of the emerging ideas are are going to be more kind of the category platform type opportunities so trying to kind of parse out which one is which is not an easy task is something we spent a lot of time on I think the other big changes capital efficiency I think a lot of these companies are able to get to market with a lot less capital because the tools and resources whether it's open source products or you know things like ec2 s3 really change how companies can get to market much faster so that's something we do look for if you can build it and get market faster let's see it as opposed to building for three years and then created the markets there I mean capital efficiency is a great entrepreneurs of great at bootstrap so they love clouds okay I can do a data center for 20,000 in three countries yeah so let's talk about that i mean let's a couple efficiencies one thing and you guys provide a lot of funding but now momentum has always been the thing you could be capital efficient and never never make the market so it's about momentum where do you guys see the most momentum in cloud cloud related things we have end-user environments with the beady eye stuff at some desktop mobile obviously in the middle where that model is changing and an infrastructure that network at the plumbing storage what do you guys see the most momentum and most fertile for entrepreneurs to stay a safe harbor if you will do you see that anything out there I mean clearly the place you're going to see the most momentum is the closer you get to the end user of a product that if something's getting adopted quickly and wrapping quickly and if you're hosting that Klaus a lot easier to get deployment continue to deploy and meet that scale I think as you look at more the infrastructure the guts and things that are going on it we're pretty big believers that while virtual desktop is still early in terms of Enterprise usage we think it's at the point now with technology has evolved far enough that it's ready to go we made a bet and recently we just we think that's a market that's starting to gain momentum and when it happens we think will happen quickly I think in a lot of these other areas there are great opportunities but in some ways it's still company-specific if someone really figures out how to take advantage of a technology and leverage something whether it's software infrastructure Network it's more the company getting it and getting it right and you're seeing that today and you mentioned some of these acquisitions it's companies you figure that out understood how to get that wave and catch it and hit it at the right time yeah I mean I think that you know you want to get it you want to get in before the momentum hits I mean that's really where the money's made in venture capitals is getting in ahead of the ways before they all head and you know so so there's certainly exciting there's plenty of excitement around the cloud to spread around and and you know you point out what year as you like the best which ones yes I think that you point out platform as a service and private clouds there's a lot of excitement around there right now I think it's because it's you know it's kind of open field it's is there's huge growth prospects ahead of it there's no real dominant player and the venture investors mines kind of go why you know kind of go crazy thinking about where you know how big this opportunity could be without really that many proof points category not for him you're saying categories not formed yet one two and three I'd approve you know it with private clouds taking private class or as an example there's clearly a lot of interest and talk around IT organizations about private clouds people are talking about it how many deployments are there there's actually you know not you know not commensurate with the hype and so you know you have to discount that back and so you know there's still a lot of interest there's there are always going to be interest from venture investors and things like that but the end of the day you know you're taking a leap of faith that i materialized and something like that it's just not there yet yeah well you had data domain in your confirm a date of domain acquisition that was a big exit three far just went when or going to HP it looks like so you know there's big deals to be had I mean big big meals you know there's you know as it relates to virtualization and cloud is really shaking up the entire that we all know that we all know it's it's a big change in all these areas are presenting huge opportunities for new businesses and really novel technology to come in and capitalize on them and even though traditional areas like storage which is you know storage I mean it's it's boring old storage but no it's crazy yeah there are the rules exactly but it's crazy things happen and there's a lot of innovation be had as it relates to cloud and yeah Charles knows with companies that he has this thing so paying you you're on the board of an investment that you have a cloud era which we were familiar with their friends of ours in Palo Alto they serviced the Hadoop platform and it's an open source project commercializing it but you have big cloud players out there that have a product that they don't sell they just use like Facebook Google Amazon so so there's a whole nother world of big data and data is the big themes in this conference and the world what is your view of that trend of data the tsunami of datas Michaelson would say at Cloudera what is your view on that yeah I think it ties really well into a lot of the conversations I think you got your having around virtualization and cloud computing because if you look at what cloud computing is doing its actually reinventing the entire computing stack from it was there was mainframe whose client server there's web and heathers cloud computing so I think there's opportunities that all the layers of the stack i think what cloud era is focused on is around the data layer and i think what you mentioned that the Big Data trend is one that one could argue start in a web world because they were pushing the envelopes of data when Facebook Yahoo and google were collecting click streams and then trolling the entire web to figure out you know what's what's relevant to two different people i think that amount of data has really pushed the envelope with today's database technologies i think what cloud air and Hadoop is trying to do is change the boundaries of what data can do and what database technology and data management technologies can do so I think one thing we've seen a clatter is everyone's got big data we most of the customer we talked to always start off with a terabyte before the end of the conversation they find it petabytes so the reason why people didn't have all the data back place is because they were throwing them away there's no cheap efficient way to store and derive value from semi-structured or unstructured data so they were kind of going to waste I think now with technologies such as a dupe you can really change that that paradigm around and you can do analytics you can do a lot more data data management capabilities you couldn't do before it's hard to think of a better guy than Michaelson to run something like that yeah he's a good he's a good guy great guy the question about scale and startups dynamic so let's talk about from a starter's perspective they're out there they can deal with in Super Angel has been in the news we've covered that in SiliconANGLE you guys are venture capitalists and you deal with big deals if ficient to get started off the ground what advice you have to an entrepreneur out there they want a good bc they want to have someone's not going to screw them over hey what someone is going to grow with them help them navigate and reduce their risk as well and go to the market be successful so what advice do you have to offer up there about navigating the I need to get financed I have a prototype I'm going to fill this white space of a VMware platform or do this and that what was your back was your eyes by speak I'm sure we agree that you just go to El Dorado start there do your series be with one of these guys a lot of ways it really depends on what your business is we talked about capital efficiency but if you're building a storage solution if you're building complex technology it's going to take 12-18 months to build and get to market you got to be funded to get through that point the hardest van sings today are the series b financing for these companies if you don't appropriately find your company through the series a give yourself time to get to market get the product out have some customers work with it it's going to be really hard to raise a good following financing around as an entrepreneur you suffer the most frankly because you've suffered dilution from that more capital efficient deals you know and really smart super angels say the same thing the best deals they've ever done they may have done it on their own initially but most of those over time taking of capital that to not raise venture money would be a very challenging thing to do it to really build it a profile you're saying if you want to build a real big business go to a serious VC absolutely and if you need to start if you want to start small at few million bucks because your idea only takes that to start great most of the companies that we're seeing the cloud space are not companies or didn't get to profitability on two million dollars and as an entrepreneur if you really think that's going to happen you should look very hard to your business and look at all the comps around your business and see how many of them were able to do it and if none of them were you guys question what's so unique about our model it's different or show to be planning to get more tableau most most most hunters don't know that tend not to do follow on financing so that if it's an intensive deal that needs more cash they may not pony up more right I mean I would just add that you know when you're as an entrepreneur looking at a venture for an angel you need to pick a firm that is going to have some money to me to be there for successive financing I mean people don't knocked out of the park every time after their first financing usually they have successive deals and is it up and down drive so you need to have a firm that obviously has money and as deeper as you know there's obviously constraction value where they was very well there's certainly value at the point I was making is that there's contraction in the venture business right now and so there's a lot of pressure on firms you aren't can be able to raise future fun so you got to feel good there's going to be funding there for you down the road is obviously obviously very important and you need to feel good about who you're working with obviously and yeah I mean that the value add is important i mean the network that the firm brings the experience they have in building companies is actually we feel like it's worth something we've we've done that before and you gotta bail you got a lot of success and we think that that can helps i mean we have a bench of entrepreneurs they can you know speak on behalf and hopefully say the same thing but that's the way we look references are a big thing right you're saying but a big part of that value added speed said is having access to additional capital from your initial funding sources knowing that when push comes to shove if things are going well but you're having a hard time raising money out in the market you can come back to your existing group of investors and continue to scale a business the way it needs to be scaled or should be scaled to be successful and that's that is a component of being value add to those companies being there when they need you to really support them through those time paying you work for a blue chip in Excel there you know earned the reputation over the years I say the facebooks a big investment and they got slew of other great investments and you've got a good tracker green cloud what do you say to the folks out this a no just go Super Angel there's some dilution not just in capital but reputation don't you think you know I i think the angels are or the super angels are an important part of the ecosystem for startups I think we work with a lot of angels we have angels in cloud era we have angels a lot of our companies so I think they definitely provide an important you know segment of the creation of startups more and more today than ever because the capital just to fund no I think I think they provide value add just like just like a VC well I think for me it's more the entrepreneur's to decide what they want and where they want the company to go and I think and figuring what the business needs should be able to help you figure out if you go with angels you go with VCS you go with both no combination you bring people at different times I don't think there is there's one formula but I do encourage entrepreneurs not to feel there's only one way to do it there's probably more than one way to do and take the time to figure it out i think the most important thing is get to know the people that will be investing in your company spend the time to get to know the VC we're all very accessible we return emails phone calls whatever it takes and that's true for the angels get to know everyone and I think that will help you make the right decision I saw a quote recently that said it's very hard to get an investor to come into your company but it's ten times harder to get them out and in thanks point me you got to get it right because you know they can absolutely kill a company if you get the wrong ones in yeah and you run out of cash too you're at a business I have that too somewhere I've heard it quite never seen a quick get go to business we have money in the bank Pete guys can you guys comment on facebook what is the Phenom of facebook obviously it's a cloud play for themselves it's a huge platform growing at scale I know ping your company has the big data business and trying to figure out clustering google has that but all my facebook and particularly growing very short history is that a cloud play for enterprises to look at is it a unique data point is that cloud any any takers on that question I'm going to look at the expert the last time I sat on a panel if King was three weeks after they did the initial investment in facebook and I still couldn't get in because it was only for college I mean they are operating a scale they use our open source or writing their own code it is a cloud kind of play yeah I mean I think you know we've had a lot of conversations with different Enterprise architects who are curious in terms of how Facebook has built their data center I think whether it's you know Facebook Google or Yahoo or Amazon it's it's very interesting see how these internet data centers are becoming thought leaders in terms of where some of the new groundbreaking technologies are whether it's in the storage layer networking or compute layer you know Facebook's an early adopter of a lot of these technologies just because they were pushing the boundaries of what can be done with you think it's a proof point though of what as a road map for the enterprises to look at or is it just a unique one-off I I think it is I think you have to be careful about just transplanting things that were done for a consumer web property and all the nuances that you need for an enterprise environment but I think absolutely just like a lot of consumer companies like Facebook to use enterprise technologies right so i think it's just an evolution of you know what they're building will be adapted i think a lot of private cloud stuff that we're investing in is very much borrowing from a lot of the clinical public cloud understandings and then bringing that to an enterprise environment so you talk to the enterprise IT guys and the cios are saying to the architects we want one of those amazon things inside driving yeah that's what they're saying right so I think I think there's a I think that's one sure i think the other trend is the episode we don't want them to have it we don't want them happen right and any other things applications are getting rewritten for different ways in other words people are building applications for ec2 and s3 that our web-based cloud type applications as more of these type applications get built they're going to end up in the enterprise and then the infrastructures gonna have to adapt to the application so i think that cycle just keeps going peep peep for you question for you you've been in the evil attic space in the enterprise obviously an IT was a sector that kind of went dark from a venture perspective seems to be coming back with cloud how are the enterprise IT changing as a marketplace when I say market I mean like a market for entrepreneurs what what do you see that's different now from when you were in the enterprise and you were to HB you worked at some startups in the enterprise it's changing what a what do you want him you know when I was I mean before you're in the venture you know six seven years ago the whole social media you know consumers ation of IT was not really happening so that's a huge change that's impacting enterprise IT landscape but it's it's got you know IT executives running around with their hair on fire and how to deal with so that's in the world of IT that's a huge change since I was in the business eight or nine years ago and it's still you know it's a nun saw there's nobody knows exactly how you know what the right answer is with all these these iPads and so forth entering the world so at the same