 Live from New York, it's theCUBE, covering big data NYC 2015. Brought to you by Hortonworks, IBM, EMC, and Pivotal. Now for your hosts, John Furrier and Dave Vellante. Okay, welcome back everyone. We are here live in New York City. This is theCUBE SiliconANGLE's flagship program. We go out to the events and extract the signal from the noise. I'm John Furrier, the founder of SiliconANGLE, Dave Vellante, founder of Wikibon.com, and we are here covering big data NYC, our event that's happening in conjunction with Strata, Hadoop World, going on in New York City, a lot of the actions here. Our next guest is Teresa Vu, Product Marketing Manager at Splunk. Welcome to theCUBE. Thank you. So we have Splunk on our brain because last week we were Splunking the event by ingesting all the data on theCUBE in Vegas. Very big success, well congratulations. Thank you. Everyone there, it was a fantastic event. Go to SiliconANGLE.tv, you can check out all the Splunk.conference videos. I think we did 13, 14 interviews a day, and then evening activities, a lot of networking, just a great buzz. I mean, Splunk has got that vibe of a startup. Definitely. But yet the food chain is moving up the food chain too to kill our app which is analytics. Yes. So last week was a great success for us and then rolling into this week. So users conference in Las Vegas, we had about 4,000 of our customers show up. It's always great to spend time with them and hear what customers are up to and what they're looking at. And as you said, really trying to understand what is that next level that they're looking for around analytics and where they're looking to take the data and then bringing that here to New York this week at Strata and talking to our customers in the Hadoop and Big Data Space about what they're looking for and what their future needs are. One of the things I found really remarkable about your events, not that we're going to go about the new event in a minute, but you guys really do a good job because your customer base is very active with you and your marketing strategy is to say something compelling. New product vision, new product announcement. And then every single announcement is backed up by a big time customer. Yes. So that is really rare here. I noticed that there really wasn't any customer activity at the keynotes. It was all vendor, vendor, vendor. Yeah, you sprinkle in the customer use case once in a while, but for the most part there seems to be this movement of the operationalizing of Hadoop is just going a little bit slower than it should be, but yet the big data aspect is going crazy with growth. So the separation between big data and Hadoop they're not necessarily the same thing. Do you guys see that same thing? So I would say from our perspective, I mean first off we've been very lucky since the beginning of the company that our customers essentially just love us. Between last week, which was our show and even here in New York, I have customers constantly coming up to the booth and just on the floor and saying, I have Splunk in my company and we love you guys and we just want to get more. So we've been very lucky to have this really, the customer base that loves us. And I would say that with Splunk customers, it's always been big data for them from the very beginning, ingesting terabytes, petabytes of data. It's always been a big data play because we focus on machine data and making that accessible and usable for our customers. So the notion of Hadoop and big data has shifted some of that discussion but I would say from the beginning, we've always been focused on making big data and particularly machine data accessible and usable for our customers. Yeah, and I think your customers have always considered that big data. In fact, we just did a survey and the number one use case was IT operations support. Number one came up and then increasingly they see that as big data, big data app. Of course, the announcement of Hunk, not only great name, but solidified the two worlds, right? Yeah, and I joke, I gave a presentation on the 6.3 launch of Hunk last week and I told everybody, I bet you didn't know that Hunk was a woman. So they got a kick out of that. But one of the other major announcements that we made last week to that point was our new IT service intelligence, a premium solution. So now this is one of the big shifts that we're seeing is that customers are really looking for production solutions versus technology and having built out a complete production scalable stack on big data, now we can really focus on the solutions that are going to make our customers' lives easier. So such as in the IT service intelligence. Well, that was an interesting announcement. So what I found interesting with ITSM, IT service management is a well documented industry and that's evolving. Now, when you add the intelligence, that's a machine learning field to it. Machine learning is critical part of your announcement. In this new era of using data in real time. Do you see that same kind of thing spilling over? How do you see the ITSI stuff playing out in the Hadoobika system? Do you see similar overlaps at all? We definitely see similar overlaps with the machine learning and the predictive analytics into the other market groups. So that last week was the key announcement was around the IT service intelligence. And as you mentioned, we made an acquisition of a company called Metaphor to bring in some of that machine learning subject matter expertise. But we're definitely seeing it in all of the other areas. So as well, you know, our big... Yeah, the time series stuff is pretty big deal. The time series stuff is... This doesn't get a lot of press, but that's a real nuance in the times. Explain that piece of it. So why and why it's important. So with, I mean, Splunk, the way that our technology works is focused around the time series data and that's how we index the data. And that's the machine learning algorithms are focused on being able to ingest and parse and help customers find insights based on how we're bringing in that data in a time series fashion. That accelerates the machine speed. Yes. And then Caspita is more of the holistic network topologies that get that right kind of view. Yeah, so I was going to mention, in terms of bringing that machine learning to big data and Hadoop, we also had our Caspita acquisition focused around security analytics and they're really looking at, as you said, machine learning across all the different data sets that people in the security socks are trying to analyze. So it seems like you got two vectors there. You got to ingest the data, you got to be able to handle it. You need good software and infrastructure to be able to do that. And then you have to apply machine learning algorithms and then you have to keep getting better and better and better over time. And that's sort of, that's really the nirvana that everybody in the user organizations are trying to get to you're actually doing that in your part of the world. Is that the right way to think about it? I would definitely think about it that way. And one of the great things about Splunk is I don't think people realize how long we've been around. So the company's been in existence for over 10 years. And so we have that expertise on the data ingest and manipulating data, bringing that data in and making it usable in a horizontal fashion within our platform. And so we have over 10 years of experience doing that in a scalable production and secure way. And now that gives us the ability to really focus up the stack with these applications and bring machine learning and analytics on top of that data that we've been so successful at managing. You have been incredibly successful and you've built a great business around it. I mean, for a long time now, when we do a lot of CUBE interviews, oh, you see what happens. We got the Splunk killer. I haven't seen the Splunk killer yet. And in fact, just the opposite of it. Your competitors oftentimes struggle to sort of mirror your capabilities. Your customers are extremely happy. Every now and then they complain about pricing, but if that's your biggest problem, boy, wow, that's great news. Yeah, so we definitely have been really successful again in that building out that production stack, which it's a very difficult feat because when you look at all of the technologies that we bring together to build a product like Splunk, it is difficult for our competitors to compete. But to the point about pricing, that's one of the things that we're looking at with Hadoop and with Hunk. So one of the big announcements that we had around Hunk last week with the release of 6.3 is giving our Splunk Enterprise customers the ability to archive their data into Hadoop and analyze it using Hunk. So given the Splunk Enterprise customer, the same capabilities, the search, visualizations, analytics that they've come to know and love on Splunk Enterprise, natively on top of Hadoop with Hunk, and giving them a simple way to archive that data. So for example, with security customers who are maybe analyzing 30 or 60 days worth of data today, now they can roll that data into Hadoop and analyze data over 180 days, one year, two years, at a much lower TCO than they were able to before. So talk about the Amazon relationship, because we're going to have theCUBE next week at AWS. And we've got some special things we're going to be showing. So if you're watching, interested in AWS and theCUBE will be there, we've got a really special surprise for you, so that Amazon is going to be giving us an exclusive look at some stuff. So pay attention to theCUBE. You guys, big cloud play with Amazon. So I want you to talk about two things. First, the conversation here at Hadoop World, Strata Hadoop, in the booth, in the hallways, the buzz, and then compare that vis-a-vis the conversations you expect to hear at AWS. Are they kind of jiving together? I mean, a lot of cloud conversations this week. Yeah, I would say that it's a very great symbiotic relationship, so these three weeks are great for us, having Splunk's user conference followed up by this event in New York, and then going to Las Vegas again with AWS re-invent. So we're one of the largest sponsors at AWS re-invent, and we've seen so much traction in our cloud solution. We're in 10 AWS regions, including GovCloud. So our cloud solution is built on AWS with a performer. And Mark Olson was clear on theCUBE. Hey, if they want to consume in the cloud. We have the solution for them. Yeah, it's really easy to stand up. It's a very symbiotic relationship, so one of our customers, Finra, was actually presenting here about their AWS solution, and they're one of our largest users of the cloud, of our AWS backed cloud solution. So I think there's a lot of relationship between what we're seeing here and the conversation about cloud and what we'll be seeing at AWS next week. So you live in, you sit in the marketplace, the AWS marketplace, and as an AWS user, I can just configure up and spin up some instances and start running. Both Splunk and Hunk are available in the AWS marketplace, so, and both, Hunk is available by the hour, so customers can use that, get up and running quite easily, and then we also offer Splunk Cloud in the marketplace as well. And when, how long have you been doing that? It's been a while now, or? It's been, I want to say about 12 to 18 months. Okay, so enough to sort of get a trajectory. I mean, can you just categorize sort of the growth and what you're seeing? Yeah, so we've seen quite a few customers, both Splunk Enterprise customers moving to cloud solutions and giving them the ability to have a hybrid solution with Splunk Enterprise on-premise and Splunk Cloud, and then we've also seen net new customers in the cloud as well. And just going back to FINRA, I mean, they're the largest regulator of security companies in the US, so that might give you some sense of how large the data that they're ingesting and analyzing with Splunk in the cloud. And you love Amazon, we love Amazon, but there's other clouds too, particularly Google and Microsoft seem to have a lot of traction within the Hadoop and big data world. What are you doing with those guys, if anything? So we've had lots of great conversations this week with partners, and Google and Microsoft, Azure are both platforms that we're looking at. Theresa, what are you excited about here? When you were at the show, obviously this is evolving, the Hadoop world landscape is changing every day, it's giving more of a cloud show, more about, you know, Spark world, maybe so much Spark conversation. But what are you personally excited about? I mean, you're on the front lines with Splunk, you've got a great company that's growing like crazy, you can't run faster, the customer's saying pedal faster, you're trying your best, we're talking to Guido, he's like, yeah, we're still a product company, so you've got a great environment. As you look out on the industry, what are you excited about? I was at a big data analytics startup before I joined Splunk, so I've been to the show several years and watched it grow so much over the last few years, so seeing new entrants come into the marketplace, but really, particularly around solutions, so the different solutions that we're building out now, and moving away from some of those technology discussions, and really being able to help our customers solve their pain points and enable them to drive faster with their businesses, is what's been interesting for me, and seeing that evolution from the technology discussion to the solution discussion. A lot of partnering too, like a real part, not like the fake partnering or bargaining deals, but real, the ODPI's got some leg, we've seen some fruit off that tree. And we're an ODPI member as well, and we've been for quite some time, so we were included in the press release that was released this week, and then we've had some great partnerships with hardware vendors as well as the Cisco UCS guys, and I don't know if you saw Jim McHugh mentioned us in the keynote yesterday with some of the IOT data. I think he gave a shout out to theCUBE, I heard. Yes, I think he did. Did he in his five minute keynote? Yeah, I think he did. Yeah, because he made a crowd chat with him, and he did an interview here, yeah, he's great. Yeah, and they're very successful. Those guys, their benchmark, by the way, Cisco's benchmark on your new release was really lightning fast. He got a huge buzz. Yeah, I mean, we're very appreciative of having that great relationship with Cisco and the UCS team, and it's been very fruitful, I think, for both of us. You guys are doing well, a lot of partnering going on. So another personal question. So, the event that's happening here, okay, in the hallways, what are the hallway conversations that you're hearing? So again, I think a lot of people are looking at that, what are the solutions that are being built out there, and really getting to the point where we're seeing value out of this whole big data concept. So what's really happening? What are the real world use cases, and how are people being able to drive their businesses based on being able to analyze that data? Another personal question, she said startup. So all about you, you're the guest, you're the tech athlete. Thank you for spending time with us, by the way, even though we had a lot of Splunk on our mind last night. What's your take on the startup ecosystem, because how does a startup compete in this market? It seems highly competitive. We've been talking to people and saying, there's a lot of competition. There is. What does a startup need to do to compete in your mind? It was really curious to me, coming back to the show this year, again, I've been to Strato for a few years now, and when I was first here with this analytics company, there were three or four players out there. Now I look across the floor, and there's at least 20 people doing visualizations and analytics, and I think it does come back to solving that core pain point for the customer, and what's the solution that they're really going to be able to drive? And again, moving away from the technology play to how do we really become part of the business and drive the business conversation? All right, well, thanks so much for spending the time on theCUBE, really appreciate it, good to see you. We're at theCUBE live in New York City for Big Data NYC. We'll be right back after this short break. Live from New York, it's theCUBE, covering Big Data NYC 2015. Brought to you by Hortonworks, IBM, EMC, and Pivotal, now your host, John Furrier at Georgia.