>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back here in the Cube, we continue our coverage here Day one, a day Ws re invent 2019 were on the show floor You could probably see behind the city's packed is exciting. Great exhibits, great keynotes this morning, Dan. A lot from Andy Jassy, Justin Warren. John Walls were joined by Jasper Singh, who is the founder and CEO of DRUVA. Good to have you here on the Cube. Thank you very much. And I say a whiner whose principal technologist at a. W s and I say it Good to see you this morning. Thanks very much. Thanks for being here. First off, tell me a little bit about drove up for folks at home. Might not be familiar. And then we're gonna get into your relationship with a W s. And why the two of you are sitting in first. Just a little thumbnail about druva. >>Sure, as we all know, data is growing by leaps and bounds on dhe. Data management prediction has been a big challenge for all enterprises driven the SAS platform very long. AWS, which helps him manage to get up and do it from the center to deal in the cloud toe at the educations, simply console to manage protection governance management on a single pane of glass. All >>right, so the two of you together we were talking before the interview a little bit about maybe some of these common attributes or shared values which make your partnership. I wouldn't say unique, but certainly make it work. So go over that a little bit about maybe we're that synergy exists where you see that overlap in your mission and why you think it's working so well for you to reveal your partnership. Once you're Jeffrey, why don't you jump on that? Isaiah? I >>think we saw a big chain in the enterprise landscape Hunter team and I made personally met Fiona Vogel back then and understood that big change and enterprise buying when it comes to a public cloud, data belongs to public cloud, the weeds growing and eventually manage on rebuild the entire rocket picture around the whole notion off a centralized sort of a data lake to predict it manageable on Arab us. We thought about eight of us in public cloud of completely different operating system. It's not just not about our technology team kicked out of the business changes with people want to buy an S L. A. Across the global consistent price point so delivered already have toe, understand how they built differently, operate differently security point of view cost part of you and also sell differently. You're gonna market partnerships you're setting motion procurement. All changes to be redesigned, reactivated entire drove our experience around Public Cloud And Amazon is in a great partner all throughout to build a story on top of the platform not just to based technology on, but are breeding a printing model on selling motion on and course introduced to customer benefits on. >>So one of the things that customers tell us is that when they come to the cloud, they want less stuff to manage. And it can be difficult sometimes to deal the new set of primitives. You know, the way things worked in your data center understanding locality, these sorts of things. A lot of this stuff gets abstracted in the cloud, and so druva help sort of take away all of that and create a simple solution for customers. They've been doing this for a long time, actually, you know, offering full SAS solution to customers not only who want to protect data in the cloud, but also on Prem to the cloud. And the way that eight of us goes about an Amazon in general goes about creating things for customers is way. Have what we call a working backwards process. And it all ties back to our first of 14 leaders, principles, customer obsession. And so one of the things that's really nice about working with druva is that they also have a working backwards process. And so we get to do a lot of that stuff together there, also a customer. So, you know, it's not just a partnership there. Also a customer, because they operate this SAS platform. And so, for quite a long time, for example, they've been one of the larger dynamodb customers. They've developed tight relationships with our service teams way our field knows them, you know, if you ask the field, you know, name a backup provider, you know chances are pretty good. They're gonna know Drew right, so and because they're all in on eight of us, it gives us an opportunity to launch things together. So when we have new storage classes in the past and new devices, new offerings Drew has been a launch partner on multiple occasions. I >>was gonna ask about that. A lien on AWS, like as a customer if I'm buying some clouds. So it's like I want to buy an S l A a cz you mentioned. Just do it. Do it. Really care which cloud you you picked as a customer >>customer. You really cared about an SL for for data recovery, which you need a guarantee across the group. That's a simplest part. So in that context, they don't care. But it goes beyond that. Data and infrastructure is very connected to shoot for the enterprise they wanted, you know, just to be recovered. But integrated with other service is, for example, Panis is are they have other value. Our service is you want to be part of the whole story from that perspective because there is so integral to their lesson strategy. They do care about where we're building this new every center from my data management, but they are getting more and more fragmented in both centralized way to manage. The more centralized way happens to be on the best known of embroidery, which happens to have all the service is to surround it of it. You do start to care about you know how they're holding me may transform the journey of data for the customer >>Ueno from the Kino this morning that I think it's only about 3% of total spend is on clouds, and there is room for a cloud to grow here. But that also means that there's a lot of data that sitting out there that isn't actually in the cloud. So a cloud based backup service like how the customers who already have existing onsite data, How should they think about this? You mentioned that they need to think about it in a different way and change the way that you experienced backup. So how how the customers start to understand what they should be doing differently and how they should think about their data in a different way. To start looking at something like the river >>Absolutely reversal. Ashley's got people, plus one that typically customers have 3.1 bucket solutions in their in their environment. They don't accept it, but they do have multiple softness. They always are the new one to replace an old one, but it still keep their legacy on what they need to do. What I do when I was to look for meditators before driven were tons and tons of legacy being managing very cars. And then I was always very, very hard. You have to spend a lot of time to manage all throughout, withdrew. Our philosophy is that your next generation of workloads, your next edition of evolution towards loud used to happen in river for a legacy. You could still keep the legacy software's IBM better cars. Let's keep on doing what you do with them. You're next. Attrition off architecture refresh, Refresh should happen in >>a zone old back of admin Who's gone through that process multiple times. Managing tape is a nightmare. Yes, I can. I can absolutely attest that that is the process. That enterprise tends to go through it like you want to pick something that you want to put all the new stuff on. Do you? Do you see anyone actually bringing data from their old system that they migrated across. So they just go, You know what? We'll just wait for it to die. >>I think a lot of people do a mix of both right today. They may have a cold data with a more humanity move toe deep archive a glacier from active data management part if you want to see how do it, how do they change processes to impact date evolution From now on 1st 1st 1st and foremost before they started, Look at old arcade media could be born on a CZ. Well, I think with evolution of deep archive, evolution off other service is much cheaper than tapes. It's about time that people start now, look at older technology that how do you know Maybe encompasses? Well, >>yeah, To me, this stuff is kind of hard. All right, on down might be oversimplifying, but you've got your warm data. You got stuff, it's cold. That might sit there for years. And we're gonna work, you know, we're never gonna worry about it again. But I have to decide what's warmer. What's cold. If I've got legacy and I've got new, I've got to decide what I want to bring over what I don't and then I've got the edge. I've got a i ot I've got all this stuff. No exponential growth data scale. So to me, it's it's It's a confounding problem of I'm in enterprise. It's already got my stuff going, as opposed to. If I'm totally born on the cloud, right, that's a how do you deal with? It's easy to do it from scratch. It's a lot harder to do it when I've got I'm bringing all his baggage with me and why do I want to bring on that headache? >>So I want you to think about it, says that you know, where would you want to innovate and start their first like a zombie? This is said that this morning in Kenya, or that whenever someone tells you you have one tool for it all, they probably wrong about it. Right? You. It's all for the best tool for the best problems. So you look at the way you really wouldn't want it any way you start there first to bring in the cloud first, then it slowly insanity. Start to lower your workload by getting rid of legacy or by re factoring in overtime. >>You've been doing this for a little while, So I assume that this isn't This isn't something that only just a couple of people of dipping their toe in the water and trying out. You told us before they actually had quite a bit of success with this. >>I think whenever there's an interesting problem, this competition. So we do have some new age companies coming to tow. What we do for a living drama is heading scale we announced this morning. We're $100 revenue run rate of business. So you just thought about building it right? But as I mentioned, it's about operating unit scale will be run about six million back after a week, with more than with better than 0.1% efficiency. It successfully the amount of paranoia going into security cost optimization Dev Ops Mount Off Hardware goes into building a good market motion to buy from marketplace by consumption models is very different from from legacy. Technology for side is only the first body, but Amazon has done for industry, which we're leading with cheerleading and we're falling. Example off is how you transform the buying baby of customer was something radically simple than ever before. >>You know, as a that's been been really a topic, and he's talked about it a lot. This transformation versus transition. It's kind of like being a little bit pregnant, you know, you have to transform yourself right and maybe it's not dipping the toe, but it's diving in that deep end. So from the AWS perspective and from what we've been hearing, just free talk about put it in that in that context, if you will, about people who are, I guess, willing to make a full fledged commitment and jump in and go is supposed to dabble in a little bit and maybe being a little bit pregnant, >>I mean something you mentioned earlier about two people. Just let let stuff rot. Yes, there is some of that like, don't get me wrong. I talked with customers all the time and they have three different backup providers. But the fact is, is that when they go to the cloud they look at okay, where can I cut and run, you know, And when they look at their the things that not only matter in order for them to transition their operations into the cloud. But then they look at, like, the new rate of data creation that they've got going on in the cloud. They sort of a lot of customers. They look at the old models of of enterprise, back of sweets and they say, Okay, I know how to operate this, But do I want to? Or they look at it, You know, some of the finer things. Like, you know, am I doing all the right things from a security perspective? In all of the right connection points across all of the right pieces of software, the answer may not be yes. Or maybe the answer is yes. And they look at other things, like, you know, what is my r p o gonna be? What is my rto gonna be? Can I abandon my eight of us account because of about actor scenario and go to another account and do a restore without having to have infrastructure in there? First you can if it's in somebody else's infrastructure in this case druva right. So, like there's there's a hard way to do things in an easy way to do things and drew has done things. Arguably, I would say they've done things the hard way so that customers can do things the easy way. It's probably a good way to characterize it. Early on, Druva decided that they didn't want to be in the infrastructure business, so they built something on top of a platform that would allow them to stop having to worry about that stuff. And if you're trying to on board a lot of customers concurrently than that, something that you want to scale automatically right, you know these kinds of things. When we talk to customers and customers ask us questions like You know what? Our customers using toe back up in eight of us. They often ask qualifying questions like I'm in a certain region or I'm in govcloud or I have too much data on prim for my bandwidth capabilities. And I don't really want to get into a new three year contract because I want to shut down this data center in October and it's, you know, maybe it's September, you know, maybe I don't have a lot of runway on, so they're looking for things like support for Snowball Edge. They're looking for things like not having Thio worry about. Do I have to modify all of my traditional applications to take advantage of other storage tears or my cold data? How do I get it into something like Amazon has three glacier deep archives without having to really know how that works on DSO. When these folks look at the clouds, they think aws because of all of the things that AWS enables them to do without them having to have, ah, a massive learning curve. When it comes to data protection in the cloud, Dhruv is doing the same thing. >>Well, the good news for Justin and me and Isaiah's, Jasper said. You hit 100 million. So dinner's on you tonight. This is great. I look, congratulations. Thank you. That is a big number and congratulate great success. Wish you all the best down the road and thank you both for being with us here on the Q. We appreciate that. Thanks very much. Back with more live here in Las Vegas. You're watching the Cuban eight of us. Raven 2019

you live from Miami Beach Florida 2019 brought to you by V we're back this is the cube the leader in live tech coverage we're here in Miami this is a wrap of v-mon 2019 two days of coverage I'm Dave Volante with my co-host Peterborough's our third year covering v-mon we started in New Orleans we've seen you know veeam go from what they called at this show act one to act two and we talked two years ago about you know to the our first V Mon about the ascendancy of Veeam being so tightly tied to the rise of virtualization and now we heard this year act to being cloud multi cloud and we heard a number of announcements that are in support of that we're going to talk about that but Peter there were three key announcements this week one was the the billion dollar you know milestone they actually you know they finally hit a billion dollars I've been talking about it for a while it's now official billion dollars on a trailing 12-month basis they're a profitable company veem and a focused billion dollar yeah I think that's really a very focused I mean they do some M&A but not a lot of M&A and that's because of NIH I mean you know these guys they trust themselves to write code it's also it's also sustained that simple value proposition right and that's a in a fundamental Dogma I think I think it's fair to say we we heard the announcement of the the the with Veeam a API infrastructure which which is key we're going to talk about that we I think there were two companies they announced partnerships with Nutanix with mine and exa grid both taking advantage of that there will be others can ring doll just told us you know maybe 10 to 12 it's not going to be an enormous number at least for secondary storage yeah but and but that'll knock down a large portion of the infrastructure market and then a Veeam availability Orchestrator version 2 which allows you to do if fast backups recover from from backups without having to go to a replicated you know off-site and some other capabilities they call the dynamic documentation and automating testing and some DevOps capabilities so you know the people seem pretty excited about that it wasn't a sea of announcements like you see it some of these things which I think Peter talks to the degree of focus that you were just mentioning you know they're not about your bragging rights and the number of announcements that they can make you know it's really all about extending that platform a lot of incremental announcements ratmir told us not a big roadmap company even though he did show a roadmap today but the roadmap he showed was a lot of near-term functional improvement so very function rich you know the the tagline of it just works but um let's see I think there's the first time you and I have done v-mon together I've been here your impressions look I love wandering the halls and talked into the actual attendees and seeing what they have to say so I spent about an hour hour and a half just doing some work in one of the hallways here and one of the reasons I do that is because it's an opportunity here with the attendees and the customers are talking about and what's important to them you've got a lot of these shows and everybody's buzzing about one or another product announcement you go here and everybody's talking about the problems that they're solving and I think that one of the reasons why we didn't have this frenzy of product announcements like we have in so many other places because the focus is though because a lot of companies want the focus to be on them I think what we heard here or what I heard here somewhat different was again customers trying to solve the problems and Veeam creating an opportunity for them to talk in terms of some of the new directions and some of the new products that being are being introduced but the focus stayed on the customer and the problems of trying to solve and that's that's what to my mind that's what successful companies focus on yeah and I come back to this notion of the with Veeam the whole API integration cloud hybrid cloud the edge V wants to be and they've laid they laid this vision out you know certainly last year and even started the year before of of essentially being that that that backup capability data protection capability across wherever your data lives you know on from in cloud now they really are focused on on backup and data protection they even say backups where it starts a lot of other companies like don't even use the term backup no it's not about backup it's about data management and data protection so it's interesting that veem is really focused on on backup and when you do what you did and talk to the customers what do you use the V for backup backup backup backup and so so they're not over rotating to that vision now they're many of their competitors are going hard after that and doing some great great marketing so the competitive dynamics are very interesting now you got cohesive e you got rubric doing really well with positioning as a modern architecture in veeam definitely not a legacy company their business is growing you've got you've got CommVault you've got Dell EMC Veritas IBM you know trying to hit single-digit growth trying not to decline I mean IBM in particular declined and then and really had to do a deal with CAD illogic to stop veem from eating its market share that's really what that deal was all about you saw Dell EMC kind of take its eye off the ball when it merged with with Dell EMC you know it was the leader in in purpose-built backup appliances it's made some announcements recently to try to get you know it's got some really good start back in the game right so you know you don't ever count those guys out Comicon vaults approached it differently they've got a large install base you know Veritas went through private equity and so they had some some other challenges but again they're investing and so it's a big market you know people are gonna go fight hard for it and then and then with with the outside funding that's come in it's really up the game now a lot of that funding is gonna go to promotion which again comes back to your point about focused R&D really really important to focus R&D on things that customers want that you're gonna solve a business problem so if you go back and just just to take your segmentation and we can kind of look at it in a couple of perhaps simple ways you've got you've got you've got veem and companies like beam who saw the hole virtualization and the need to do a better job of supporting and protecting and and replicating and backing up virtualized resources all hitting the market pretty hard and then you have the Delhi MCS and a lot of the other companies that you mentioned trying to sustain or keep pace with those guys and then you have the new guys the Dhruv is and what not are we talking about just cross cloud multi cloud backup on top of that you have and something we talked about with a couple of guests the security guys are looking at this and saying wait a minute you know data is data and protection and security are going to be increasingly difficult to separate because data is going to move and I have to be able to move security with the data it's going to be an inevitability it's we're talking about a cloud that allows us to more do more distribution of data because we're gonna do more distribution of work and the security is gonna have to move for the data so the security guys are gonna get in this the networking guys are gonna be asked some questions about the opportunity you got the old guard who is more focused on devices and managing and backing up devices trying to get back in you got the new guys you're saying let's let's lead the the the act to before you know the veins get there it's gonna be an extremely complex market but all of its gonna boil down to this simple fact I'm gonna distribute data in response to the work that needs to be performed and how am I going to manage the digital assets that I have to make that easy so that it doesn't explode and all of these companies at some point kind of the next phase of this is going to be on protecting data but can I turn it into a digital asset so here's what I saw I saw them talking about the idea of you know what we're gonna protect locally I'll suggest it over the course the next couple of years it's going to be we're gonna do you know data asset management with protection with where the actual act of protecting it is similar to the act of defining it as an asset so being able to you know use a a snapshot for a lot of different uses already happening now but adding services you know a consistent set of services on top of that through with veem and other resources allow them to do that and then move more of that what's today regarded as replication function into that protection side of things a lot more support for locally because that's where the services are going to become having the services are not having the services it's really going to be an essential question because we're gonna move more of this data out to where the work is going to be profound we often talk about customers having to place bets but but the the the vendors are having to place bets as well they're obviously betting on multi-cloud but but juxtapose for example what themes doing it was interesting to hear ken ring doll he answered your question about whether it was em through M&A and he answered in an M&A context but or maybe organic development around more security functions and he kind of said Never Say Never but really focused the team the engineering team is really focused on backup and data protection and what they call data management juxtapose that now with way say for instance what a daydream is doing X data domain guys built their own file system trying to bring both primary and secondary stores together yeah and which I like and I think it's really powerful themes taking a different approach they're saying and with with VM api's we're gonna partner with pure we're gonna partner with with Cisco we're gonna partner with Nutanix so different approach and they're gonna obviously you know claim the same capability hey we can do that too you know date tree I'm saying well we can do that too with just one mousetrap you know the integration points etc so it's gonna really be interesting to see how that all shakes out that that word seamless you know I said it sometimes triggers me if it really is seamless you know theme has a go to market advantage relative to you know the the Swiss Army knife approach if it's not seamless then you know ad atrium approach will have an event it's from a product standpoint you and I both know there's so much more to success than just having a great product absolutely you know and mentioned it but but here's you know it's interesting one of the thought about what will the roadmap the practical roadmap because FEMA's altered its roadmap in response to customer demand quite frankly very successfully and and and and you know you got to applaud him for doing so but one of the things we heard was it look we don't want we don't want to over promise on the engineering front because you've got a certain number of Engineers and a certain engineering capacity focus them on things that are creating value to the problems you're trying to solve the same things true within a lot of user shops you don't want to throw a whole bunch of new function to new requirements and a bunch of guys who are still themselves trying to evolve from backing up devices to now actually protecting data and and so there's a there's a natural evolution that's going to take place and I and I think veeam that's done a pretty good job of keeping their finger on what that pulse is it's it's what can be invented but also what can be innovated if we think of innovation as the customer adopting and applying it and betting it and changing their activities around it and I think themes done a pretty good job of navigating you know that what can customers really do right now not getting too far ahead so a lot of these guys that the natural tendency that you come from a product perspective and you say put more into the product and you know get the better check marks and you know have the better it's better statute is better factsheet and I think Veeam is taking a simpler approach almost an apple like approach is an enterprise sense and saying look give them what they can a candle give them what they can use give them what's going to generate value and as they master that give them a little bit more it reminds me of is you said Apple it reminds me of early EMC days when EMC brought out you know it's symmetric it was it would connect you know AIX solaris unisys obviously the IBM mainframe it had all the optionality all the connectivity and that's kind of what would be and then the features that it announced were really practical they clearly solved the problem now since then you know MCS evolved into the checkbox so we have more features than anybody that's what happens when you everybody wants right you have the customer base everybody wants and they say check we have that thin provisioning we have that too and you know we're gonna freeze the market that's the you know much more mature company in their defense it's also in response to an increasingly specialized and complex customer base they're trying to cover all the base and you know competitive guys eating that they're absolutely absolutely and the sales guys saying hey we need something and they've done a great job of doing that but but Veeam is very very focused on the optionality in four years they they wouldn't talk about bare metal and a couple of years ago would beam on the big thing was hey we said for years that were only virtualization well guess what now we do bare metal that was sort of the one the big announcement one year so they're they're very judicious about how they allocate their R&D you know capital and in you're seeing that you know translate into function that actually gets used actually give yeah I think it's a key point I think your analogy with EMC is actually really good Dave because if you go back thirty years when the EMC first started getting going what was the problem controllers on mainframes and mini-computers were getting incredibly complex it's you know the Daddy controllers and the amount of processing that was being put into that in the microcode was just overwhelming most people's ability to deal with it and so MC came along and said well if that's the problem can we fix it we put cash in that'll just make this whole system simpler and then they stayed true to that for a number of years and they turn into a beer mark and it's interesting I think it is a good analogy because what is the problem the problem is data's going to be more distributed it's going to be more central to a company's mission it's gonna be used by more functions and repurposed into more applications that have a greater diversity of RTO and RPO and as a consequence they're saying they seem to be saying we're going to do our best to pose much function to that protect side of things local as we possibly can so that people who aren't PhDs in computer science to perform a real business service by making all that stuff work and then will at the same time work very closely with third parties who can bring specialization of that secondary storage to bear as the specialization increases because it's going to increase and the other the other you know China MB a case study example that I would point to is the early days of Veritas when Jim when Jeremy Burton was running Merrick marketing it Veritas II sort of coined the language Jeremy calling the no hardware agenda a pure software a lot of function and they you know rose to a couple of billion dollar you know in revenue you know very very successful now have the big install base that everybody wants to eat it's just again reminiscent the pure software company they're not shipping boxes they're not shipping appliances they're they're not selling direct their pure channel play there's a big tamp to just continue to do virtualization like the big question is are they going to will their focus on what they're currently doing translate into focus on multi cloud and here at this conference they're claiming yes we've heard nothing that suggests that they won't be able to but there's a lot of new players out there who are looking at that space and saying you know what I can do that too and there's gonna be a lot of invention a lot of investment and you know there's good reasons to suspect it beans gonna be able to evolve successfully but there are a few areas where I think they're gonna have to focus more time in the big part of a CEOs job is Tam expansion and you know right now there are you know a billion out of fifteen let's call it so there's a long way to go but as you point out that multi-cloud appears like it's gonna be lucrative and there's a lot of different companies coming at it from from different angles you guys tell me we look at it is this big blob yeah this is gonna be incredibly specialized very fragmented I mean you got Cisco coming at it from a networking perspective RedHat coming from a past perspective Google you know partnering everybody Amazon right now ignoring it but you guarantee they're gonna be awesome and Microsoft has to be in it because of the huge estate of on-prem you know software and there's a dozen security guys are gonna be looking at this and saying oh look data in motion that's my service now is going to get its pieces so very interesting how that's all gonna shake out it's okay so wrap it up Peter you know kind of summarize your thoughts on the space v-mon so first beam on for me a lot of customers that we're talking about solving complex problems during their digital business transformation that's always good to hear got to a billion dollars that's a great milestone for any software company good reasons is the fact that beam is going to evolve into a company like Veritas like one of the big guys this is a company that's got legs and I think that the final one that I'd say not got legs but that they've got what it takes to be able to affect this transition they probably got the execution chops look we had a user on here who effectively said if you're not using if you're CIO and you're not using veem you're not competent and you know he said that that's not that's not a bad testimonial when you come down to it yeah and then the one thing that we have not talked about which is it shines through is culture yeah you know this company has a culture that is a winning culture it's a fun culture there's an accountability associated with it and and very customer orientation solutely up so that's the winning formulas have been fun sort of watching these guys grow and interacting with a number of their customers and you saw you saw a couple years ago Veeam saying okay we're going Enterprise so I ain't so easy there's just say we're going enterprise but in interestingly even though they've somewhat retrenched from that messaging they're having success in the enterprise clearly with their partnerships with guys like HPE at Cisco and NetApp and and others and so they're just gonna let it bake a little bit and go from there position of strength which is that you know kind of s in an MB do more simply with your protection environment is not a bad story a company of any size right right and okay Peter hey you spent great working with you thank you and thank you for watching guys great job awesome go to Silicon angle comm you'll see all the news the cube net is where we host all these videos and you'll see wiki bond comm has all the research Peter recently wrote a great piece on on data protection and how that markets involving check out our Twitter at the cube and at the cube 365 Twitter handles you'll see all kinds of clips coming out of this show and other shows let's see where we got a lot coming up good for you and what do you think so I think you're seeing as I said before a very practical approach to gaining foothold and in maintaining and growing in a market I like the business model this this company has been somewhat opaque you know european-based you know the Russian founders but and and most of us businesses outside of the US and and I think they're really coming into the mainstream now and Cube helps make it more transparent yeah absolutely and right because you can ask the questions of people and you know you get you get all kinds of different answers so and we're able to have you know independence on you know guys like Justin the firm's like the four five one guys that you know Gartner coming on and and it's fun to have those guys so so it's been great thank you for watching the cube go to the cube dotnet check out the events that are coming up we got a huge huge season May and June or our busiest months take a slight break in July although you know we'll be cranking this summer as well so thank you for watching everybody we're out Dave a lot day for Peterborough's we'll see you next time

hello welcome back mark risen Hopkins here at South by Southwest 2011 and I'm here with Nick do cough from info chimps where I'm from I'm pretty familiar with because I'm a tech center and I hear about these guys all the time you may or may not you should probably should know who these people are but if you're not Nick I'm just going to have you start off with a little bit of an elevator pitch talk about what your company does and acquaint them I hope hopefully they can hear you over the whatever that is a keynote or contest what is going on out there sure thank you info chums is a market place to find share and build on data we have two big customer bases one is the developer community which we're just really focused on making it super easy for developers to build applications you know an application is really two things right it's code and it's a database and there's lots of folks out there that help developers get access to code such as github but there's really not a centralized repository for structured information data and so that's what we're building and we're really excited about it the other part of our business is our marketplace where we have data sets that are published and can be downloaded as flat files so if you're you know mom and pop or you know non technical user and you know data for you is you know viewable in Microsoft Excel that's you know that's the place for you the beautiful thing is it's all found at the same place and that's info gems com I was going to talk a little bit about your recent announcement and Michelle the former contributors SiliconANGLE if you're watching this video you probably know who Michelle Greer is has been excitedly talking in hushed tones don't tell anybody till we announced but check a look at this is really cool your API Explorer and the launch of is it 1000 API is 1000 2000 data sets so i've i've never really dug is deep into your data sets as I have in the last couple of weeks while you've been turning on the API Explorer and uploading these new things so tell me tell me for is all about the broadly about the data sets and the API explored how that works and then we'll dive deeper into a couple of these that are really cool thanks and you know sorry to steal Michelle from you but she's a rock star and we love her so we recently published two thousand new API calls and you know that that's pretty exciting for us we're trying to make you know as much data is available in one place as as there is on the internet and these two thousand API calls range from social media data to weather data to stock data and really you know our key focus here was just to try to think of what are the building blocks for an application and how can we provide just data sets that you know can inspire developers to build applications without ever having to bring data down onto their own server the API Explorer makes it super easy for anybody to come and see you know after they pass through an input what what the output looks like within their web browser so they don't have to go and start coding to figure out what the output is going to look like they can you know get a few samples right there in the browser so the and as someone who is a lightweight developer these days but was a heavy coder back in my early days the API Explorer is what really makes it real in my opinion because you can look at the documentation all day long and we spoke to somebody earlier today that's in the documentation business as soon as you hear that you know it's nor right you know I don't want some ads either you're thinking about it something has to write the documentation which is a which is a big task always or someone's got to read it unless you need it like five minutes ago you you're not going to be hitting the books so but being able to just see a little box and like okay here's what I put into this box and hit the button and see what comes out the other end that's what makes it real so that that's I think something that makes what you guys are doing pretty exciting now but one of the ones that Michele showed me was clearly which is another company that uses you as the platform to publish the data and the AP I and so talk a little bit about what clearly does I can see a hundred uses for this for applications we're developing so talk a little bit about what that does and in depth about as much debt as you can about how they get their data and all that so poorly is a company run by Mac Schneider Hoffer based in London UK and he was previously at Atlas ventures he was a VC you know came back to the bright side of things and started his own company what clerk poorly does is a database across social identities so you know who are you online who am i online I'm Nick do cough um Twitter I'm / do cough on facebook I'm / Nick dash do cough on linkedin and you know it's hard to sometimes find in a programmatic fashion you know all of the identities for a person online and so what queries done is you can pass through whatever you've got twitter handle or Facebook account or a linkedin account and it will help map across all of the other social networks and help you find your flickr account the youtube account your LinkedIn account so that you know developers can help build you know any number of applications we deal we're based out of the cloud air office our Palo Alto group is based on cloud our office so a lot of what we do is using Hadoop to bring structure into unstructured data and I know that API right there I think saved us probably about three months worth of development on one aspect so we're going to be using it just just so you know but I mean being able to surface a surface content in a way that like being able to access you know you know the people that are around it like invented by stop by Southwest you control feeds find people that are there at South by Southwest but you don't always have access to all the content they're publishing because they may not have an auto feed going but you know with something like we really you can pull all their other feeds and then you know just just filter it based on location or date range or whatever it is you're doing and really go up with something useful you know to speak a little bit about what they do and I'm happy to also introduce you to max he's coming into Austin for South by Southwest but I hope you get it through us and not them but so what max does is you know they use indicators you know strong links across your various profiles to see UK is at Nick Duke off really the same guy as facebook / Nick Duke off right you know am I linking to my facebook profile from my twitter profile or you know in my facebook have i mentioned you know back to my twitter profile or my about me profile or something else right so that they can see okay well is this person really this this person well and then this kind of links into the the other discs the other API we were discussing earlier which is the Twitter profile search that combined with maybe the queerly search would be a great way of surfacing like Authority nodes on you know amongst content providers so talk about the differences between Twitter's native profile search we did we ran it on Batman Batman comics my thing and versus the the profile search that you guys have so we're really moving to having you know the data store of choice for us is elastic search it's an incredibly powerful tool that allows you to do essentially boolean searches across large data files for instance the Twitter profile search is a hunt across 100 million nodes and what we've got now is the ability to search across those 100 million users you know with the key words that they use in their profile and that can be you know obviously name it can be how they describe themselves what they like we're even there from Twitter the way that they do it based on just a couple searches that we ran it looks like they have some kind of method of looking both at the tweets themselves as well as potentially other keywords around what you need Charlie in character Gotham news and all kinds of crazy stuff nothing none of it had to do with that man comics per se than loosely associated with Batman so I guess if you're into that there you go but if you want an exact match this would be the way to go so so it's not all social data you've got I know there's some sports related ones in there there's a the raw word searches it was at the British corporate national corpus you've got a couple other ones that escaped me at mall and just a well with 2000 but so lots of interesting data to be able to search tubing so let's uh let's look a little bit broader where did you guys where was the inspiration for this what was the amo because big data is this is the is a focus for us editorially for the next foreseeable future whatever that ends up being because we covered a couple of conferences recently strata Hadoop amazing viewership that we were just talking about the concepts behind big data and it resonated with both our consumer oriented audiences developers of course but also enterprise because big data is something that affects them too and it's not just all about social and mobile and you know the fun stuff that Mashable and the TechCrunch and the web to blogs like to talk about but it's it's crossed over at IT so what was your aha moment that led you to pursue the path that that info chimps has because you're you're positioned at a good nexus for enterprise and all the consumer facing data stores so we'll just just talk a little bit about that journey sure so flip Cromer another one of our co-founders and CTO was pursuing his PhD in physics at UT and in the course of his research no spent a lot of time you know finding and munching data the kind of aha moment for him was it's a pain in the butt to find data online no Google does a wonderful job of indexing you know blobs unstructured information on web pages but they don't do a great job of indexing structured information and so flip set out to solve this problem and asked around his his fellow PhD candidates if anybody might be interested in pursuing pursuing this this this mission and found dhruv bandage m's team and kind of from there you know we've built up to 15 chimps trying to democratize access to structured information so so talk about the process of like data sanitization i know its a mix of automated and hand hand washing of the data so talk if you can talk about that it may be part of your secret sauce but if you didn't talk a little about that process I'd like to learn more sure so one of our kind of core philosophies is we take data and we publish it in a structured format we don't necessarily cleanse it when there's clearly articulated demand for a very high quality data set either we'll find it either through a third party supplier or we'll build it ourselves but unless there's clearly articulated demand we publish it the same way that we find it the only change that we make is we identify columns and rows so that you can make that you know in a machine-readable format okay but and also part of the rolls is documentation of that which is which is your next big but you can only do with 15 people do to so much at one time so you've got all the data published and part of that role is actually making it searchable curated and findable yeah so we absolutely want to continue to work on cleaning up the metadata you know around the data one of the things that we've been working on is a unified format of metadata and so that's something that we're pretty far along on and really excited about and I think it will really help with scalability because you know our data team can ingest data you know pretty quickly at this point you know we're pulling in you know hundreds of gigabytes a week or more probably closer to terabytes a week and but you know we got to make sure that we keep up with respect to you no documentation like you were saying and making it easily findable or we end up in the same place that we were before we started in foot jumps and so what we've done is we've loaded all of the metadata into elasticsearch as well as some of the data so that you know we obviously our search algorithm is part of our special sauce but we try to make you know the data set that's most relevant to you adjacent to the data that you either have or otherwise we're looking for so search search is really becoming a everything old is new again that's like a one of the themes people going back to search and reapplying it to problems that Google you know doesn't need to work on right Google is everybody thinks Google is solved search and I think they'll probably the first to tell you that we got ninety five percent of it down but I think it may be more than that really because there's so many different aspects of search that haven't been tackle I mean you got the semantic side you've got different different organizations that are trying to patch holes in micro site search you know or whitelisted topic-specific search and you're working on a couple different approaches to structure data search so that's that's one of the things I'm seeing is emerging theme what just stepping back I mean you've been like I suspend like a day and a half here in South by Southwest but you've probably been exposed to the the prep a little bit longer than I have been local to Austin what's what are some of the themes you're seeing emerge out of the conference here so you know it's it's all about location right you know you know location local and you know the data that powers that and so with respect to location you know one of the important themes is you know places where am i standing right now and there's a number of folks out there that you know might even tell you different things about where you're standing and so over the next couple months we're pretty excited to announce some partnerships that you know will save for another story to really make it easy for developers to build location-based applications and obviously a big part of that will be you know retail inventory and and and other things about where you are right happy hour specials you know all the other ratings and reviews you know all the kinds of stuff that folks ask for all the time you know can you scrape citysearch can you scrape yelp and you know we won't necessarily but we'll work with a lot of folks who have similar databases or those companies themselves to make it available to our developer community so one of the yet so that's a good position to delve into a little bit because i think that the fear is with companies that sit in a position you do where you envelop so much of an ecosystem is that you will compete with that ecosystem eventually we see it with Twitter you see with Facebook and you know those evangelists for those those organizations will will tell you okay we're not really competing but we know they are I mean either they are or they're just really bad at communicating how they don't want to communicate compete with their own ecosystem so that you leave the data sanitization scraping and otherwise organizing to other people and you're just organizing the organization of the data that that's an interesting point to elaborate on for instance a good number of those two thousand data sets where we took factual corpus of data sets and published them as api's right so we took what was you know structure data and made it published in an application programming interface right and that was something that hadn't been done before and now it's even easier to build on top of those databases right so you know they existed in the wild and we just made them easier to find an easier to access and that's really what we're what we're trying to do very cool stuff big data a theme search a theme South by Southwest 2011 I am Margaret Ann Hopkins we've been chatting with info chimps so a company to watch keep an eye on these guys play with the API Explorer I can't I am I'm not getting paid by these guys to say this I just really like it I played with it I really liked it so I think you should to stay tuned to SiliconANGLE console can hang a lot TV we'll have more coverage coming out of the conference so don't go away