 Live from New York City, it's The Cube. Here is your host, Jeff Frick. Hi, Jeff Frick here with The Cube. We are on the ground at the USS Intrepid at the Hadoop on the Hudson party put on by MapR. It's, I think it's the party of the night tonight here in Big Date a Week New York City with Stratikoff, Hadoop World, Big Date NYC. It's a jack of great venue. Yeah, it's excellent here. The place is filled, you know, I'm just struck by the technology. There's a Gemini capsule over there about 50 years old. It's about the size of a Volkswagen I think would be much bigger and to think that those guys went up into space with probably less technology than is on your four-year-old flip phone. Amazing. Yeah. Not much date at all. No. If you look at it, just got to get that bounce on the gravity thing, which I never quite understood. So, talking about, you guys had some big news today. Which gave us a rundown on some of the announcements. Yeah, so we had two big announcements. One was incorporating the MapR DB and our community edition. That came out. We also reported results from our customers, where the majority of customers reported less than a 12-month payback, 65% a 5x or greater return and 40% 10x or greater. And that included a subset of those customers that had experience with other distributions. So kind of a testament to when you get serious about Hadoop, you get serious with MapR. And when they're getting those return on investments, we're always trying to explore where's the big ROI because it's really in value that's released for the customer. It's not necessarily because it's a cheaper way to do it. Right. So there are some costs. The 63% was cost reduction that was driving it. About 41% were top-line revenue projects and about 23% were related to risk reduction and risk mitigation. And if you add those up, it's greater than 100% because of many customers that are doing multiple applications. That's great. So you've been coming to Hadoop for longer than you would admit to me before we came on camera. And the baseball playoffs are going on right now and we like to talk in sports analogies. So kind of where are we? And kind of what inning are we in this adoption of big data and Hadoop specifically? Early, early innings. But what we've seen is the bases are loaded and we're up. And it seems to be we're way past now the POC stage. Now people are really getting in, they're doing production. The customer announcement we did kind of shows how people are hitting it out of the park with Hadoop. And a lot of that is by impacting the operations, impacting the business as it happens. And that's coupling analytics plus this high arrival rate data from a variety of sources and making adjustments so that you can impact revenue as business is happening. You can mitigate risk as it's happening. It's not just reporting a looking back function. Right, right. It's being able to react in real time which is defined by in time to do something about it, right? Exactly, exactly. All right. Well, thanks for hosting the great party. Jack Noor is here. We are on the ground at the USS Intrepid at the Hadoop on the Hudson. If you take a nice picture, tweet that in. I think they've got some prizes. Hadoop Hudson is the hashtag, Jeffrick on the ground, you're watching theCUBE. Thanks. Thanks, Jeff.