 Okay, we're back here live inside theCUBE, our flagship program. We go out to the events, extract the ceiling from the noise. This is exclusive Silicon Angle coverage of O'Reilly Stratoconference in Silicon Valley. A heart of big data of innovation in Santa Clara, California. I'm John Furrier, my co-host Dave Vellante. And we're joined by Todd Papayano, who's the CEO of Continuity. And welcome back to theCUBE. Thank you, thanks for having me. So, you're a CUBE alumni. You guys are big splash. Last year you launched the company. Give us the update of what's happening because you guys have a great team. And still kind of quiet, but I'm sure you're making your moves. Give us the update of a press release that went out Tuesday. Yes, we did. Yeah, we launched a company towards the end of last year at Hadoop World. There had definitely been heads down, close to series A. So we raised 10 million bucks, which was nice. That definitely helped. Double the size of the team, brought on some fantastic engineers and developers. And we've been really focusing on the product. So the announcements this week were, we're announcing the public beta availability of our developer suite, which is a framework to enable folks to build big data applications quickly and simply, and the public availability, the beta availability of our developer sandbox. So folks will be able to come to our website and spin up their own version of the continuity app fabric, which is our runtime, cloud hosting platform. So it's pretty beefy. It's like eight gig, eight core, quarter terabyte. And so what we want to do is give folks the capability to be able to see the full continuity end-to-end app development lifecycle benefit. So you guys, when you launched in New York last fall, I mean, we love the launch position because really we were talking about data as a development kit. And here we're talking on theCUBE this week about data as code, which is kind of a riff on infrastructure as code. But it's not yet fully formed yet and kind of what that means, but it feels right in terms of developers want to advance this initiative. So you guys are targeting developers by giving them the tools that they need. So again, whether you're a Python developer, you're due to dating size, we had Josh Willis on from CloudEra. There's a huge appetite from developers. Yet it's all the talk is about distributions and a lot of stuff going on. So what is the developer mindset right now? What's the sentiment in the market for those developers? You're targeting them. What are you seeing for them right now? What are some of the, what's the sentiment? Good? Yeah, I mean, I think the feedback we've had has been tremendous. Since we launched the private beta of the developer suite that a ton of folks use it, we've got fantastic feedback on it. We've improved all the APIs. We've added Eclipse and IntelliJ plugins. We've improved user interface. I think the sentiment is, look right now, it's still really difficult to build applications on top of Hadoop. Yeah, we hear all this news about the distributions here and more distros springing up like weeds. You know, weeds, I should say. It's a growth market. I mean, Intel comes in. It's a big move right there. Big money players. Yeah, absolutely. The big guys are coming in. I mean, for us, that's good. Yeah, absolutely. I mean, we layer over the top of the distros. So even for all of the Hadoop distros guys out there, they still, when they go to their customers, it's tough for them to build applications. We can come in and say, hey, for all of your customers, we can make their lives better. Somebody said in theCUBE this week, don't confuse a clear vision with the shipping product. And a couple of years ago, people put forth this vision of Hadoop applications. You just said, it's still really hard. What's the big roadblock? I think the roadblocks right now is that when you think about the distribution stuff, it's infrastructure software. The experience really, even from the distro guys, is still for a customer. You have kind of the homebrew computing club experience, they're going to take something from here and here and here and meld that together. What we do is we layer over the top of that and make it much easier for developers to actually code, deploy, and scale their applications on top of the distributions. And so they want simplicity and they want that with modern tools, obviously? Yeah, absolutely. Look, developers are smart guys, right? But they still like the niceties there. They want more of the visual studio, more of the Apple experience, right? I think for customers, what they want to do is be able to drive to business value and insight much more quickly. So what we do is we enable a much larger cadre of developers. It's not just the Hadoop distributed systems experts. It's pretty much anybody who can write Java out there to actually become a big data application developer. You hear that stat a lot for every 505 Hadoop deployments. There's one in production. Do you feel like you can move that needle? Absolutely, I think the reason that things don't go into production is right now, the general model is, you know, you bring in one of the distro guys, you end up doing a science project, you probably plow some log files in, and that kind of stalls out. Why? Because it's actually very difficult to then go and actually productionize the application. What we can do is actually help customers who want to take their initial science projects and actually turn it into something real, to operationalize the application. So who's coming by the booth here? What are they asking you? What kinds of questions are you getting, and how are you responding? We've had actually really great traffic by the booth. I mean, this has been a great show for us. I think the questions we get are, okay, when can I have it? I want one of those. This is really stinking cool. You're excited. Oh, absolutely. People see just how simple we've made it to build apps and deploy. They're very excited. We have a ton of interest. What do you think about the trend about bypassing MapReduce and putting stuff right on top of HTFS? So honestly, that was a green plumb's approach. You're seeing a lot of different techniques. We also heard from some of the in-memory guys talking about, hey, you know what? You can actually, MapReduce is not necessarily just batch anymore. You can actually write to MapReduce and make that real time. Is it just how the world view is? Is it depending? Is it? Well, I mean, I think it's a natural part of the evolution of the stack, right? When we think about where we are in the Hadoop ecosystem, we're like maybe two years in to the evolution of it. Traditional BI has been around for 30 years, right? So we still have a bunch of work to do. The green plumb approach and everybody here who's, to me, the flavor of the day of this conference has been, I have SQL for Hadoop. Okay, great. So you've enabled all the BI guys to do BI applications, but what's that next generation web logic or JBoss? That's us. We enable you to actually build real productionized, operationalized applications. They can cross the chasm with you guys. They can do the BI now and then you can cross them over. Okay, let's talk about the BI trainwrecks coming up. So we're going to, we predicted, we predicted, I predicted, I, not Dave didn't. I said, I predicted that the BI is going to go through a very quick, a lot of dough going to be spent on BI, but get the SQL today. And like the early days of BI, there was some trainwrecks, just natural evolution. What's your advice to folks who don't want to be the trainwreck and want to be the good guys? I mean, obviously there's some development involved. Any perspective on that? Well, look, I think there's going to be, the Accentures of the World and Consultants is going to make a ton of money. We know that, right? I think the benefit from people bringing to SQL, to Hadoop though, is that there is an existing 30 years worth of investment. And personnel. And personnel, people understand SQL. But those guys are actually very different to the people who were building JTWE apps last decade, right? So there was still a massive market there for people building operationalized apps, the business logic for what they want to do. SQL is fantastic for doing structured queries. And by that I mean, you can ask questions within a pre-existing search space. I think the major change we're seeing in big data is really a move from schema at read time, schema at write time to schema at read time. What that means is that you can now ask a ton more questions of the data that you didn't even know you had before. In the state of the art. Without a lot of work too. Without, I mean, some work, but not like massive schema redefinitions and whatnot. I think we've all heard of the, you know, kind of enterprise data warehouse trainwrecks. So people spend like, you know, six to nine months trying to define their schema and set that up and it's already out of date. The big move here is like, how do you actually like slash time to business value, slash time to business insight? Awesome, we 100% agree. Let's talk about those developers now. So let's those guys doing that development that you're talking about, what are they doing right now? What's the psychographic profile of that developer? I mean, I think that developer right now is they're sitting down in their IDE. They have a fantastic idea, big data idea. They want to actually get that, you know, built very quickly. We press the test ourselves on, can somebody actually like build an application quickly in like an afternoon or a day and push it somewhere and show that it works? What they're wanting to do is they want to actually take in, you know, the data, taking signals, do, you know, streaming analytics, do real-time processing and actually present, you know, get some answer out of the backside of it. Are you seeing any kind of preference on storage and how they're handling the data, any kind of out of the data management side of it's working? You know, not so much. I mean, you know, what we do is, you know, we've abstracted above both HDVSNH base and give people this high level of abstraction. So instead of dealing with like input and output formats on low level sequence files and T files and, you know, bytes all in HDVSNH base, you're really dealing at a high level that's more like, you know, hibernate. So for us, it's, you know, we have this data fabric components like datafabric.write object. Java developers much more happy about dealing with objects and object abstractions rather than like low level bytes and blocks. So you guys have the big funding. So since you're funding, obviously you've got some more resources. So you're expanding staff, you're probably having more travel budgets, but talk to customers and potential customers. What have you learned since fall? The big aha that you can say, wow, this is good stuff going on that you can share with the audience? Yeah, I think there's two things. One, you know, I see kind of like two classes of customers. There's what I call the fast followers, right? And these are guys that we see in the kind of like online, social, mobile gaming verticals who have, they have a real pain, they have a problem to solve and they don't have the capability and wherewithal to stand up, you know, a team of like 10 to 15 Hadoop developers. They gravitate very much to our platform because they can just actually build applications quickly. In the enterprise, what I found is, and certainly in some of the verticals, maybe like retail and FinServe, they're really behind the curve, right? They're really still just doing science projects and we saw that analyst report come out recently about the troff of disillusionment. That's actually good for us. I mean, I think that's happening. I've been talking about that properly. I've been talking about that on theCUBE for a while. Yeah, you have. That's coming, right? It's kicking out now. Yeah, that's come now, right? So for me, I'm like, great, this is validation. It's perfect time to mark it for us. So you obviously worked at Yahoo. That is the thing. The other signal is all the whales are getting in. You guys were talking about this earlier, SAP pretty much sort of going after that space of Oracle. I don't know if it is, but eventually will be. What do you make of that? I mean, obviously you compete because you're cooler, but what's your take on what they're doing? I mean, look, I think all of the traditional data warehousing folks, all the traditional data guys see this move and I think they understand intrinsically that there's a shift going, but they don't understand exactly what it is, right? I don't see from any of the kind of like leading, kind of like BI data warehouse vendors that they get that it's the schema right, the schema at read time shift. They just know there's something big going on here. So they're plowing in, but if you look at their strategies, they're not that impressive so far, right? I do like the green plum strategy, right? I mean, they have, I think, put together a very nice product. It'll be nice when it's actually generally available. I'd love to see it and get my hands on it. But I think that the big data guys, the general data guys are saying, moving into big data and going, there's something here just like everybody is, but no one's really figured out what that is. And my personal perspective on it is, in the Hadoop ecosystem specifically, we have a ton of infrastructure, but we don't have actually any of those classic application patterns. In traditional BI, we got those over time. We got CRM or Salesforce Automation, Supply Chain Management. We still need those apps to actually explode up and kind of like take over in this ecosystem. And without those apps, this ecosystem goes away and it just becomes a storage engine underneath Teradata or Oracle, right? Okay, we're out of time. Getting the hook here, Todd. Thanks for coming inside the queue. Congratulations on your success. You've got a lot more to do. More build value still kind of plowing the fields. Good strategy. I think there's going to be a developer, massive onboarding of these new class of developers as well as the pre-existing kind of BI. Congratulations. Continuity, hot startup in Silicon Valley. CEO, Todd, be right back with our next guest at this short break.