 Live from the Fairmont Hotel in San Jose, California, it's theCUBE at Big Data SV 2015. Okay, welcome back everyone. We are here live in Silicon Valley for theCUBE for our event, Big Data SV, which stands for Big Data Silicon Valley. Put on here at the Fairmont in conjunction with Stratoconference and Hadoop World going on right across the tree. It's part of our Big Data week of coverage and analysis and this is theCUBE, our flagship program. Where we go out to the events and extract the signal from the noise. I'm John Furrier, the founder of Silicon Angle. Our next guest is Clint Sharp, CUBE alumni from Splunk. Welcome back to theCUBE, good to see you. Thanks so much. We're winding down to the end of the show. It's obviously Friday. Feels like, I don't even know what day it is. We've been doing interviews wall to wall. Kind of like at the Splunk conference, you guys have also a great conference. Similar vibe, a lot of bombs dropping in terms of pure content, a lot of energy. My brain is full, it's one of those conferences where like you guys. But, so your title is, you guys are growing. So your title is getting bigger. You're both on more words, director of product management and big data and operational intelligence. Bigger and bigger, you guys are growing, but operational intelligence. Big theme, I heard security was a huge discussion at the last event. Really big part of the big data equation that you guys are involved in since you have such great customer base and they're doing more and more with Splunk as a platform. Security obvious. Is that why it's all bolted on there? Is it like the security? Or is that more enterprise? I mean, it's all of the above. What's the update? So my portfolio, what I do for Splunk is I cover, so big data obviously, Hunk, we've had some great news this week on the Hunk front and we're obviously, we're down here at Strata taking a look at that ecosystem. But also, when we say operational intelligence, what we're seeing at the largest and most successful customers is they're not just answering security questions or IT questions, but they're answering business questions. So Godfrey, my CEO, likes to say that he sees the biggest opportunity in being able to offer intelligence on the data on the move. So the problem of looking at large amounts of data that are static and sitting there, we are certainly making it more affordable. I feel like the big data ecosystem and the world of SQL on Hadoop is certainly driving the cost down of doing analytics at large scale. But it's still solving a similar problem. It's structured data. It's understanding what's happening. The innovation that I'm seeing is looking at this data on the move and helping people answer questions, hopefully in real time. And so what role are you guys doing to cause your booth here? You got any product announcements you mentioned? Hunk, what else is happening? Yep, so the big announcement from this week is we did a press release with Yahoo. So Yahoo is a major customer of ours and was gracious enough to do a press release with us. Yahoo is using Hunk to look at over 600 petabytes of data at rest in their over 35,000 nodes of Hadoop. And they are able to answer all sorts of interesting questions. And even in a very meta way, they're using Hunk to help them run Hadoop. So when you have a 35,000 nodes of anything, but Hadoop specifically, they start to generate a large amount of data about themselves. And so we're helping them operate their Hadoop clusters and maintain higher availability. I mean, they must be throwing off a boatload of data. I mean, what's the 10 of bytes per second? I mean, I don't know. I mean, it's like they have massive data. Just can you like put it in order of managing without like, you don't have to give any secrets. But I mean, they have massive data. You have any, can you share any kind of like, what's solar system of data? Yeah, so they, you know, Yahoo's been doing this for so long. So a lot of the technologies that we're seeing emerging, they built them first in-house. And so you don't see as many of some of the newer HIPAA open source projects because they already built their version 10 years ago that they've been improving for 10 years and they didn't open source that ecosystem. But yeah, they are generating, you know, they are generating, just in Splunk Enterprise alone. So we have two products. We have Splunk Enterprise. We have Hunk is our search engine and query language on top of Hadoop. And then Splunk Enterprise is our big data platform in its own right. They're ingesting over 150 terabytes of data a day just into our product. So that should give you some idea of scale that they must be generating petabytes of data a day. So what else is going on with you guys? Obviously customer traction, every time I hear about you guys at the event, zillion more logos, what's the growth look like? What's the expansion strategy look like for the product and company? Yeah, so our security markets, when you mentioned it earlier, are growing gangbusters. We've got more and more security customers coming on board every day. And what we're seeing in the ecosystem is that's a lot of where the funding's going as well. Enterprises are very concerned about their security posture with many, many recent breaches in the Fortune 500. They're all looking at it and saying, I need obviously a newer, better approach to taking a look at this, along with several of our partners in the security ecosystem. They're sort of a next generation of companies coming along. We consider ourselves part of that. So let me talk about competition because I've heard some scuttlebots certainly around Silicon Valley, around startups going after trying to, you know, nip at your heels a bit. Sure. Oh yeah, we're going to go after Splunk. We're going to low cost alternative. What's your take on that? Are you seeing them putting a dent in any crumbs off the breakfast table? I mean, they haven't gotten to lunch yet, but I mean, there's some upstarts that are trying to position up against you guys. And how do you respond to those guys? Yeah, I mean, like, we're a public company. You can see how well we're, I mean, we're continuing to grow so quickly. When I started at Splunk, we were 400 employees. We're over 1400 now. I've only been here three years. You know, it's an amazing amount of growth. I think there's a huge amount of opportunity in the ecosystem. We see a lot of competition from open source as well. So, you know, we've been seeing an emergence in Elasticsearch and the Elkstack. It's still some assembly required there. And you know, if you're, you know, for the persona that's willing to do that assembly, that may be a good option for you, but we're... The maker culture's out there. I mean, if you want to grow their own. Sure, that's sure. And in which case, I mean, I would strongly encourage them to do so. They're probably, the reality is they're probably not our customer anyway. Yeah, yeah, yeah. So talk about the platform, right? So you guys came in and grew from a very narrow scene, very specialized. Now we've always talked about this event, but just reiterating for the audience, huge platform. What's next for you guys? Where's the innovation? Honestly, we're just talking to Google about Dataflow. There's so much going on in the data space. Cloud is exploding. You guys have been very successful with landing and expanding, huge customer base. There's a platform war going on. Data layer, obviously conversion infrastructure helps you guys and obviously apps are great too, right? So this data layer, this middle ground is up. It's a lot of action going on there. How do you guys fit into that kind of street fight and or land grab or, you know, competition and... Yeah, well, so there's a huge amount of competition. I mean, and I think that's in general good for everyone. Our philosophy is that we can provide a value on top of the data wherever the data happens to rest. And if you happen to bring it into our platform, then that's fantastic. Our platform in Splunk Enterprise provides fantastic needle in a haystack search capability. It is a full featured big data platform. Like I said, our largest customer ingests over 400 terabytes of data a day into the platform. So we know we can scale and we know we can offer those use cases. But if you want to put your data in Hadoop, that's fine. If you want to, we have integrations also with other NoSQL providers, Cassandra, MongoDB, et cetera, so wherever that data is, we want to provide value on top of it. We think providing that really simple user experience for exploring your data and working with your data is what makes our products incredibly compelling. And then where we're innovating is on top of that, that same platform that we've built. So whether that data's in Hadoop, whether that's data in Mongo or whether that's data in our own platform, we're providing applications that solve use cases. And so we've, you know, we're in the upper right magic quadrant and security for our enterprise security product. Look for us to keep going into other markets with similar efforts for building solutions that solve customer problems and then continuing to expand our ecosystem of partners which are building solutions on top of our platform. You guys got to keep innovating. You guys do innovate. And if you're not out in front of the next wave, your driftwood is the old expression goes. So what's next for you guys? Obviously you've got product management, you've got the roadmap going on there. You're here, obviously a ton of action here. It's like, I'm really innovative. But reality is you got to move that into production. So what's happening for you guys? What do you see that's exciting you? And where is the visibility on the straight and narrow that you can share on the roadmap that you guys are driving towards that's innovative? Yeah, I think we are, we're keeping a close eye on the ecosystem in terms of the emergence of other data processing technologies, Spark, Spark streaming. And I've been seeing a lot of excitement about that this week, a lot of press releases from various vendors. But we're, I think we're continuing to push heavier into real time and being able to provide value on top of that data on-flight. We've got a rich roadmap in the security space. We'll have some future excitement in the IT space as well where we're looking to continue to invest heavily. And you guys are growing too, and the team's growing, you're hiring, right? Oh yeah, it's ridiculous. You know, Swank has my PR people will hate me for this, but we used to have this shot glass of like Splunk rhymes with drunk, right? So, you know, we have a fantastic culture at Splunk. And we're, we- You play hard, you work hard. I mean, it's a startup culture and you're still young and growing. You need that energy, right? Yeah, exactly. And so it used to be that, you know, you'd come in on a Wednesday night or Thursday night or Friday night and people would be hanging out until six, seven o'clock in the office, but they're still hanging out. Except for now, I don't recognize all their faces. That's how we're growing so fast. You're the senator now. You're like a senior guy three years in, right? Yeah, exactly. It's nobody's around anymore. Everybody's still around, but there's so many new people that having been around three years makes you an incredible old timer. Yeah, we're psyched to work with you guys. We're going to see you at your event. We're doing some social media stuff with you guys with the crowd chat. We're going to get, you guys got great social activity, got a great blogger network of people, great community passion of customers. So we're going to bring them into the cube world this year. We're going to do a lot more integration, not just at the event and do some great earned and earned social media with you guys. So always great to work with Splunk. Great success story. One of my favorite success stories at Silicon Valley is Splunk, how they grew, how they executed. And again, ideas and execution really make the difference. Technology, again, is an enabler, but you guys are a great example of that and great to see you guys in the trenches continuing to innovate. And certainly Spark is hot too, pipelining data. Data flow, data action, data ocean. It's a data ocean out there. The lake's batch is lake. And data oceans, real time streaming. And that's the new term we got validated by Google in the last, yeah. Thanks so much, Clint. Good to see you. We'll be back with our next guest after this short break. One in on the last day of Big Data S. We'll be right back.