 Okay, we're back here live at theCUBE. We're here live in New York City for Big Data NYC. That's hashtag Big Data NYC on Twitter or LinkedIn. We're going to have some crowd chats this week. This is theCUBE. This is our flagship program. We go out to the events, extract the signal from the noise. We are here for Big Data Week in New York City. Also, Stratoconference right behind us and Hadoop World's kicking off an ending day one. They're all schmoozing the booth duty. I'm John Furrier, I'm joined by my co-host, Dave Vellante, and Clint Sharp from Splunk is back on theCUBE here in New York. We had him in Vegas, you had your user conference. Clint, welcome back to theCUBE. Thanks, John. So, Splunk, a lot of positive articles came out of your event. Obviously, we had so many videos, we can't even count, but you guys are redefining Big Data, and I had in my ending segment, I kind of was throwing the big idea of vision that you guys could be the next Google in terms of the way you're handling it, because one, your product is so extensible and people are using so many use cases around Big Data that you've never seen before. So I want to get your perspective on that. And also, I was very impressed with how many happy customers you guys have. I mean, like the CUBE interviews were with real customers are all happy with your product. I mean, my favorite quote was, Splunk has liberated us with our data. So that speaks to the business value conversation happening here. So tell us how your Big Data strategies, it's just kind of like the boats pointed down the river and you guys are just flowing down. What's the story? Yeah, well, I mean, I think we were Big Data before it was cool. I mean, I think all the vendors say that, right? But we were out doing real customer success and we built the whole business on real customer success, which is, how can I go and give customers what they're looking for in terms of enabling technology to make their lives better? We started in IT and we're working to break ourselves out of that mold now. I think HUNK is a great foray into that. But we started with IT and we started with making their lives better. And I came from a customer, so I sort of lived the experience. And when you're working all day every day to try to troubleshoot tough IT problems, just being able to get to the root of it very quickly, we let people go back to their families sooner and that actually sort of matters. And so I think that breeds a sort of endearment that they have towards this as a vendor-customer relationship and it's fantastic to be part of it. Okay, what's your take on the ecosystem? Honestly, when we went to the Splunk, actually it was pretty much their events. It was pretty centric around their value proposition. But obviously when we look at the landscape, this is kind of like the Olympics here. It's the combined work out of startups, big vendors, all positioning themselves for essentially being that platform for big data. What's your take on where Splunk fits in with the opportunity that everyone's put down there? Well, it's interesting. So with new businesses, things are discreet. Everybody's sort of doing their own thing, swimming in their own lane, so to speak. And you're starting to see a lot of people look at things like Splunk, certainly Tableau and of course many, many others. Obviously the platform guys and things are starting to get interesting. They're starting to become a lot of overlap. And I think Splunk is interesting because you guys, like you said, started before big data was termed and before it was cool and everybody looked at it and said, it looks at you now, it says, oh wow, hot company, multi-billion dollar valuation. But we can do that too. So what's interesting to me about Splunk is when you talk to your customers, there's a real affinity, there's real traction and you've got competitive advantage right now and not the least of which is you not only moving first but you're moving fast. So, Glenn, I wonder if you could give us the sort of update what's new with Hunk Post Conference because you must be getting a halo effect from the conference, talk about that a little bit. Yeah, sure, so we are always continuing to improve the product. We are nearing release very, very soon. And we are taking the feedback from Conf and I'll tell you that the majority of the feedback we've been getting over the last, through the entirety of the beta program because we've had over 100 customers in the beta program running on every distribution of Hadoop and looking at all kinds of different data has really been, A, how do we make the product work as widely as possible across all these different distributions because as much as you'd like to think Hadoop is Hadoop, quite frankly, there's compatibility issues between everybody's distribution so it's ironing out all the kinks between working with all the partners that we work with, Cloudera Hortonworks, MapR, Pivotal, IBM and then lastly, making it work with all of their specific data which we've had some really great examples of use cases ranging from claims processing and doing analytics there to your more basic clickstream and also deep diving into security so we've been trying to just make it work as efficiently as possible across all the different types of data our customers are asking for. Just a point of clarification, you mentioned the distros you're working with, are those the only distros you're working with? I mean, anything of Hadoop Hadoop. So Intel, are they part of the mix yet? Yeah, we are talking to them. We are going to certify. At some point in the near future, we're having those conversations just didn't. Okay, so you mentioned the ones that you're currently certified on and it just, it takes a little bit of extra engineering work to make it happen. There's six of them and we got five done by GA which I thought was a pretty Herculean QA effort and now we're going to get to the last one. Excellent. So a lot of startups here, I want to get you guys to take because you guys now grown up, big company now, still growing, fast growing company but like, you're not a startup. I want to get your take, Clinton. You know, take your Splunk hat off for a minute and put your industry hat on. What's the state of the startup environment here? Because some are saying they're late to the game, all the seats are taken, we're in a bubble, valuations are out of control. Obviously that's the Wall Street Journal of mostly people in New York who have that opinion. Silicon Valley people think it's a never overvalued market but the startup ecosystem is really critical and this is not a consumer bubble. Enterprise marketing, mostly, a lot of big consumer companies use big data but for the most part, a lot of the people here are enterprise focused. What's your take on the startup ecosystem relative to the horizontal opportunity, not just your area but other areas? I mean, I think we are in the start of a revolution for enterprise software in general. I mean, for the last probably five years, I mean really since Facebook started five to 10 years-ish, focus in the valley around consumer startups and getting a bright new set of candidates in enterprise software and IT related thing I think is good for everyone. I think in the Hadoop ecosystem in particular, I don't think anybody's late to the game. This is such a nascent market man. I know we're seeing a ton of people here in New York to talk about Hadoop at Hadoop World and inside of this area and makes it seem like it is a big thing. I'm not denying that it's a huge deal but we've tapped such a small percentage of what the real market could be for these products that every startup I think has a huge opportunity in front of them. What do customers need to do to get more value out of what they're doing with Hadoop? What would your recommendations be? Well, so what I hear most from customers is that they've been successful using it as a file system and they've got a ton of data there at rest and that they're struggling to get analytics and visualizations. Obviously we have a product here to help. There's a lot of other products in the ecosystem as well and I think that Hadoop doesn't become successful until people are being able to point at that report and say that's from my Hadoop system. I think there are companies specifically in online services that are very mature in the Hadoop world and the rest of the world is just looking for that software that goes and makes it easy for them to use. So give us the update again. So you're, HONK has announced, you're in beta, what's the timeline for when this starts getting in customers' hands? I would say very, how soon is soon? The very, very, very soon we will be- This year? This year, so soon that it might be before you know it. Now what do you guys got going at the show? Can you share with us any insights, any little previews? Yeah, absolutely, so we've got HONK at the booth so if you want to get a good view of what the product is and what it does, we've got demoers at the booth ready to show you the product, different use cases. We've also got Splunk Enterprise at the booth to take a look at so our whole product portfolio is there and ready for people to look at just upstairs in the partner pavilion. So, got to talk about New York City. What's your perspective of folks out there watching, obviously let me watch the QR in New York, but I mean, why is New York such a big focus for these events around big data? I mean, you see New York is always kind of the hub of certain kinds of commerce, why does big data resonate well in New York? Well, I mean, obviously finance has a huge, huge part to do with that, right? And there is, in fact, I've met with a couple of our larger financial customers this morning because I happen to be in New York and when you come to New York, that's a good thing to do, right? And so there's, these are the guys that with the advent of algorithmic trading and other really, really low latency, high data volume types of use cases are generating these really big data stores and have need and also they're the ones who stand probably to profit the most from being able to algorithmically understand their data the best. Okay, so I want to get a little bit of it inside of what to expect from you guys here at the show. Sure, so we are, we have a big announcement tomorrow, so stay tuned to the PR wire and we will be, we have a session on Wednesday. I forget the exact time, I think it's around 11 a.m., where we will be going through and talking about Hunk and our Hadoop story. So we're just really excited to be here and really looking forward to getting to talk to some more customers. All right, so what about you, what are you gonna be doing? What's your agenda like? Give us the details, parties, meetings. Well, so you know I was here at Cloudera's partner event just upstairs earlier today and yeah, so after this I'm gonna go over across the street to do the booth drinking and then off to dinner. And then there's gonna be, I think there's a number of big events that hopefully I will get to partake in. The Red Sauce game is on tonight. Cue party tomorrow. I'm gonna be at the Cue party. Awesome, that's a definitive. Clint Sharp, we're here at Splunk, we're here live in the Cue, we'll be right back with our next guest live. Early preview here, kickoff session, evening of the Monday here in New York City. Big data New York City, hashtag big data New York City. We're live here inside the Cue, we'll be right back.