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Okay welcome back everyone to Big Data Silicon Valley this is Big Data SV our event is an extension from Big Data NYC a few months ago we're covering all the action here in Silicon Valley all the innovation covered all the news of the Stratoconference and all the action and here this is the Cube our flagship program we go out to the events extracurricular news I'm John Furrier the founder of Silicon Angle and I'm joined here with a special guest John Schroeder the CEO founder of MAPR and Colin Mahoney CEO of Vertica now the GM of Vertica now that was acquired by HP three years ago almost now guys welcome to the Cube both Cube alumni thanks John welcome back it's good to be here so big news you guys are have an announcement let's let's announce the news that's already been discussed you guys are working together on a partnership let's explain it so Colin why don't you introduce the deal and we can have a discussion with MAPR yeah so super excited about our relationship with MAPR and what we're doing is we're really combining two great solutions so that customers that want to take advantage of Big Data or any data their information can do it seamlessly obviously what Vertica brings to the table is an incredible MPP SQL analytic platform primarily but when you think about the Big Data Lake and where people are putting a lot of their information into Hadoop and doing a lot of other analytics in Hadoop it just makes sense that you can have a single environment where you can do anything you want against the data so really excited about the relationship and what we're doing and as with I think most great partnerships it's really customer driven this is coming to us from the field saying it would be great for you to do this and so we connected and it happened so John you guys had good success over the years and it's fun to watch you know being president creation this industry from the original Hadoop World days and seeing how all the players are fun in their swim lanes as they say you guys have a nice business model people like subscription revenue right so talk about MAPR where it's at and this why this relationship is timely for you guys yeah I mean you're right as far as our business model I mean we're more like a splunk than a red hat I mean we built technology bring technology to market that really makes a difference most production ready Hadoop distribution in the industry and over the last year you've got a tremendous amount of activity around sequel on Hadoop and so there's a multiple open-source projects there's some other vendors that are providing solutions as well and you know the thought process at 30,000 feet is well I've got a huge amount of analysts that understand sequel and sequel based technologies and I've got Hadoop and I'm building a data lake or a data hub and it scales really well and it's inexpensive so how do I glue those things together and so I put out a prediction at the beginning of the year that was sequel is gonna be the most exciting and disappointing technology for 2014 because the state of the technology wasn't where the customer thought it was going to be so back in October I gave Colin a column said you know you've got a sequel platform as part of your MPP platform that is robust and will act the way the customers are expecting sequel to act so we've got this full POSIX compliant data layer as part of our Hadoop distribution we can integrate these and have a best of best of breed solution really kind of a one plus one equals three and the engineering work really wasn't that difficult we we got that done between October now and we got a screaming platform now and you guys have a solid engineering organization and talking to Srivis and the team fantastic over the years and very focused on the enterprise and and Colin obviously enterprise grade has been a conversation has been kicked around now for two years when that kind of happens you start to think okay it's either gonna be real or it's gonna or be a dud but but it's really busting out that essentially means people are spending money your customers and you guys have a really huge mainstream enterprise base obviously HP so when you talk to your customers when they say I want enterprise grade what does that mean I see sequel's a big part of there your customer base what does that enterprise grade mean and you have to deliver on that yeah no we absolutely do I think every vendor in the you know quote-unquote big data space has to deliver on on enterprise grade I think 2014 is the year that it's no longer you know what I the analogy I was used with people around big data in some of the years past is all these penguins that get on the edge of the iceberg and they nudge each other off and they hit one in the water to see if the tiger shark comes and eats them that was a little bit of what big data was people weren't sure how to define it they didn't know if it made sense I think we're past that I think people now they're jumping in the water penguins are in the water penguins are swimming CIOs know that they can become heroes with the things that they're doing around information and data there's an incredibly high ROI with anything analytic related when you can do it right but back to your question on enterprise grade in order to do that and in order to have systems that are operational and that businesses are depending on whether it's sequel analytics interactive queries dashboards deep data science insight whatever it is that you're doing with it you have to know that the data is secure you have to know that the data is backed up you have to know that you've got failover that if something happens to the hardware or different parts of the system that you can continue running and I think making it easy for the ops people who are oftentimes the last people to be told that well we just bought this thing now can you help us manage it those things are becoming more critical now than ever so this is a great deal for map are obviously a startup that's validated with huge install base with HP going mainstream with enterprise grade you know big data John do you worry about the the scope of the deal I mean you're like is this you biting off more than you can chew with HP is it something that you guys think you can execute on and or is it pretty much scalable at this point from your standpoint is this at the point of your startup journey where this is no problem no I mean that's that's what we built in is if you look at what we did with Hadoop over the last few years we took it from a technology built for web 2.0 we made it enterprise grade make it interoperate with everything else in the data center support multi-tenancy because people want to data lake they can share between departments and workloads secure it you know standard it is very easy to spoof see it is secure it we've moved it into some of the operational use cases because a lot of a lot of our apps have a batch component but they got a real-time component that has to be responded to in milliseconds and so that enterprise grade was built into the kind of the first version and probably the difference between map r and and more traditional technologies is if you have a thousand node cluster with 12 drives each you're going to have a stack of broken drives and a stack of broken servers on your desk at all times I mean it's just it's just nature right it's just going to happen so the whole system is built to assume failure so it's like drives go out you re-replicate data a server goes down you re-replicate the services and you do all that with no outages so that works really well what made it really easy to integrate with enter with vertica though is really that underlying data platform full read write random writes things like that it it made the whole integration task way easier it'll be way more high performance so it's really quick deal you said october now we're here you know very short that's a short time frame for a deal so let's get into the deals is it let's talk about the mechanics of the deal what specifically are you guys doing for each other is it a channel deals that are certification technology sharing could you just go dig deeper into the deal you want me to go sure yeah so so right now it's I think we both characterize it as more meat in the channel the teams are working together in the field working with our partners to basically get customers and prospects up and running who want to do this but as john said the integration is very seamless it's not a difficult thing to set up and do that is one of the reasons that we're able to get it together so quickly so there's not a lot of work that has to be done to get it going and then you know we'll see where it goes how about support and rolling out you guys will be selling the map our three-year channels and supporting it or is map our supporting their product right right now it's a meat in the channel so we both sell and sell and support our own products right now we might change that in the future if we decide to but that's the current model I think you know the first steps on this was you know hearing from customers we want these solutions to work together do the upfront engineering work so it all works now this is an announcement of an early release of this and we'll work more on it as we move forward it could get tighter or we could be successful the way we are what do you guys see this going what's the next step I'm asking the public company never gives away any secrets of hb but yeah but the extent obviously this could go to another level you guys talk about the vision on the roadmap of this relationship at all in terms of the hp map our relationship yeah we do I mean I think there's a there's a lot of different directions that it that it can go I think another similarity that we have in our cultures whether it's engineering or the way John our is let's see where the customers take it let's not force anybody down a path but what we do know is that if you look at any mpp environments be it Hadoop be it vertica there is a new deployment model going on inside these companies around information that is a pure scale out model and so the first thing the customers say is this fantastic you know we we can manage a single farm of servers and get as John said we can get sequel out of it we can do a lot of analytics so we're going to see where we take it you know we're we're open minded and you know just have to see what happens so you guys are both entrepreneurial obviously you'll call on your big gm now at hp big mother ship within the company but you know vertica was a startup at one point you guys prove that successfully and hp you know brought it in one of the the best acquisition they've done in a while you know great leverage john you've done a bunch of startups you've been successful at what's your take on the big data industry you guys grew up at the gen one big data I don't call it gen one it's been around for a while but really this whole Hadoop big data movement with Hadoop world Hadoop summit now Stratoconference and Big Data SV and NYC what's your take on all the new players coming in are the people groping for position is there a lot of white space and do you see consolidation what's some of the trends that you see happening right now in the industry right now I think if you look specifically the Hadoop space it's it's uh I think it's just still down to a few platform providers I mean I don't think there's much more room for for more platform providers and then so we're we're a leader there I don't think it's ready to vertically integrate the stack if you look at the top level of stack you've got a tremendous amount of innovation from both legacy vendors and purpose-built startups building new technologies around analytic platforms and visualization and development tools and all that and I think it's premature to to vertically integrate that so I think you know we're going to really focus on that platform we probably add a new open-source project into our distribution every quarter or so so there's nice things that enough customers want that we make it a core part of our distribution but there's probably 600 other technologies out there that interoperate with BAMPAR and Hadoop and so it's it's good for customers they're on a technology ride right it's you know they can look ahead and say I've got the broadest set of products and services available and it's going to continue to grow in the future and I don't think we'll see vertical integration there for another you know so I mean as we were joking in before you know a lot of people might tap out I was on a couple interviews earlier and yesterday Dave and I always kick around hey you know who's going to tap out drop out of the race but normal industry formation and growth is you start to see people coalesce into pockets of segments that they they're comfortable dominating or competing in and that seems to be happening now do you see that accelerating this year more M&A or more partnering more you know people kind of making their platform out because at some point ecosystems are the key I mean Haven and the big data strategy for HP and for BAMPAR you're a platform you need an ecosystem that's got to come from somewhere so where do you guys see that trend of the formation of the industry around the ecosystems and the platforms and from a developer standpoint or just from market market conditions yeah I mean I'll build on what John was saying I think it is a great time in the industry if you're a buyer because there is so much innovation but with that comes a lot of fragmentation and I think it makes the formation of that ecosystem that you're talking about more challenging for the buyers to figure out what actually works and what solves the problem I think that's one of the reasons that we and many others are talking about it less so about the speeds and feeds and more so about what problem are you trying to solve you know don't just do it for data sake don't just do it to put another acronym on the bottom of your resume but what is the problem you're trying to solve and I think the good news is buyers are savvy to that now and they know that there are many things you can do with these platforms I think on the on the sort of consolidation and and formation of the ecosystem I mean all these industries they consolidate you know it's just a natural maturity cycle of what they do and I think we're starting to maybe see some of that happen already John I want to ask you a question around that just to kind of drill on and you guys remember two years ago at Google IEA you guys had an amazing benchmark with Google you guys playing in the cloud your team knows a little about scale up scale out large-scale cloud hyperscale has been a huge focus for the DevOps or cloud which is where you see kind of an intersection with big data happening do you see the enterprise market for you guys and HP that mid-range hyperscale developing I mean do you see that developing sooner than later or are the enterprises we're moving into more the open source more of these enterprise grade solutions they're looking for hyperscale is that elusive is that going to be coming around down the pike anytime soon if I understand your question right or is the is mainstream market ready for these large deployments to build out data lakes and data hubs and things like that and they're I mean they're already doing it I mean we're in basically every major telco or in every major fend services and health care and federal government still a lot in web 2.0 as well and so you know 2000 server deployments and retail 1200 server deployments and financial service so I think that's happened it's still I would say it's still lumpy though like you look across financial services and you think well they'd all move at the same rate and you'll find one that's you know 5x the size of the next largest and then you'll find somebody who's really a laggard so that's been kind of interesting probably telco has been the most consistent adopter I mean across the board and it's it might be it's such a competitive market right I mean how do you how do you survive out there if you know better analytics and better processing but I think they're certainly ready and there's huge huge proof points I'd say probably the the part in the market it is still interesting that it is the lumpiness you know why aren't they all there and that's what we think we'll see them move to over the next year or two my final question for you guys I know we're wrapping up a time here but is to tell me what you think of the current state of the market in terms of the bumper sticker for this year for big data you guys have been there in the beginning what's what's this show what's the big data sv event this this year what's it about this year what's the main story that people should know about that aren't present here at Stratoconference what's going on in the industry that's most important to be noted I think what's going on what you're going to see is a lot more analytics and maybe a lot less talk about big data it doesn't mean that it's going away I just think people will have the solutions the application of it and analytics to me is something and data for that matter that needs to be embedded in everything you do if you use gps an example as an example you don't care what's going on with the data you know data is being used but ultimately you just want to get to your destination and so these things while we may be in the data center in the back end part of it it's going to find its way into mobility and into all sorts of things whether it's cloud or or other so I think it's it's going mainstream yeah I think yeah I think from the Hadoop perspective I think it's also we're starting to see operational use cases on Hadoop so I did a talk this morning a keynote and you look through a number of our use cases they do have an analytics component to them they also have a real-time component you know something that has to be responded to in milliseconds so I think we're seeing that operational component to Hadoop use cases including really interesting things like telco billing so you're logging telco transactions do an analytics on it but it has that operational characteristic as well so that's that's going to what you're going to see rapid grow through 2014 I guess I have one more final question so it was never a final final question is you guys are both entrepreneurs been there now executives leading companies operationally what's your advice to the entrepreneurs out there is a lot of still opportunity you know I still even though valuations are high still a growth market across the board so there's still you know rooms to kind of hop between white spaces if they're seeing that there's no opportunity somewhere that could maybe join an ecosystem or start another company what's your advice to entrepreneurs out there you guys have been successful in early stage and growing a company what's your advice to them I mean I every entrepreneur I meet I think it's passion and there's always going to be white space you know even if an industry consolidates there's always white space and 20 people will tell you you can't do it and it'll never happen and if you just persist and keep the passion it'll happen and that's just always going to happen and you feel as opportunity in this market I think there is I think there's massive opportunity I think you this is a market where despite all of the need for the information and data the amount of expertise you know whether it's the data scientists and the McKinsey study or other we're just really lacking that expertise for people that can take the data analyze it make sense of it then act on it and so as a result what has to happen is the technologies have to increase that productivity and help out where we don't have all the experts and that means there's huge opportunities and you guys have a marketplace too which is in that little side plug there but John what do you think about advice entrepreneurs you've been there done that I absolutely agree there's white space and you need a lot of passion I think first appearances underrated quality in an entrepreneur I think entrepreneurs are generally optimistic and mildly dissatisfied and that's what gets you out of bed in the morning I'd say the the biggest the biggest advice I'd give is follow customers and follow markets listen to your customers find out a big problem you can solve for them and they'll really guide you in the right direction really partner really strongly with your customers because they'll take you in the right in the right direction okay that's John Sprough the CEO of MapR announcing a deal with HP column Mahoney general manager former CEO of Vertica now part of the GM of the Vertica big data group at HP congratulations guys on a great deal great validation and you know it sounds like some good business to be had there this is the cube we'll write back with more here live and big data in Silicon Valley that's big data SV go to crowdchat.net slash big data SV that's where the conversation has joined us and we'll be right back