 Okay, we're back live here at the Stanford, Excel symposium at the end of the day, and this is theCUBE, our flagship program. We're out to the events, extract the ceiling from the noise, and I'm John Furrier, the founder of SiliconANGLE.com. I'm here with Jeff Kelly, on boogiebond.org, and we're here with Madhu Sadkuhar, who's the founder of Cetus. It was sold to VMware to spun out the Pivotal, all the way to theCUBE. Get a little closer to the microphone, so we don't get the background noise there. Thank you, John, and thank you, Jeff. So the story on your company is we've been following your great success, because you guys were doing some pretty compelling work in social data, in Palo Alto, right on University Avenue, True Ventures Finance, a great, great company. You guys had a nice run, but clearly you didn't even break out. VMware saw you guys and brought you in on an acquisition. Give us the update on the company's role within VMware. Obviously Pivotal's, the high profile spin out, I had a post on it, Dave Vellante had a post on it, so EMC, VMware spun out Pivotal. Cetus, Green Plum, Spring. Gemfire. Gemfire, yeah, so give us the low down. Sure, and thanks for talking to me today, John. I mean, you've been a good friend for us, and you write good articles for us on Pivotal, so thank you. So with that, I think, what can I tell you? I think right now my role is playing the, what I call, I run Pivotal Analytics for Pivotal, and Pivotal Analytics includes the Cetus, as you mentioned about, and it encompasses from Hadoop Analytics and top of Pivotal HD, to streaming analytics. To the point, we actually do also Cloud Foundry Analytics. The way in which we are seeing the vision of the company now is going forward. Lot of our customers want to build applications on Cloud Foundry, our spring environment, and they actually want analytics to be available. I think where you see the next evolution is, as you build the mobile apps, you have a choice. Would you want to go build it in a platform where there's no big data paradigms and data structures available, or would you like to come to a place where all these are available to build the next generation mobile apps, where you have enabled streaming and Hadoop Analytics available. So we want people to come to Cloud Foundry. We want to make analytics as a core reason why they should come there. And that's a big bet we are making. So talk about the now the mashup of the Cloud Foundry, because that's important. I mean, Paul Moritz set out his vision when he was the CEO of VMware in 2010. We were there as our first year doing theCUBE. This is going to be our fourth VM world coming up. It was the mainframe, the software operating system, and at the top of the stack he had applications. Now, the world's changed, big data became very fast growing market. Those apps kind of didn't materialize as fast enough. So, you know, Moritz is a tooling guy, he's a tools guy. Microsoft, that's his background. Gelsinger is an infrastructure guy, so great team. So we've always been pro-pat and pro-Paul. So talk about- Ingen Yang. I said Ingen Yang. Yeah, and Ying and Yang, and these guys, that's the Wintel, we called it, of Cloud and all the social. But now Pivotal seems to have a rebirth freedom, right? Because now there is a developer focus, you have the Cloud, there is Spring there. There's nice separation between the two. What is the strategy with data? I mean, they have a data fabric you guys talk about. How does your piece fit into Cloud Foundry Spring? Explain that. Yeah, it's a good question. I think for all the people, very few people can describe as good as you have done, so thank you. But I think you've got the picture. I think what I think Paul's vision is, underneath he wants to have a Cloud infrastructure. There are Cloud orchestration layer. So that includes Bosch. That includes how do I launch these instances, manage the instances, in terms of dynamic resource orchestration, in terms of provisioning, in terms of configuration. That's underneath Cloud. And the Cloud needs to be hybrid Cloud, in his vision. So we support Amazon. Like today, Pivotal and Ingen still does Amazon. We want to do that on VMware. We also, in the future, we want to support OpenStack. So we want to be neutral to the type of Cloud. And we want to provide a Cloud orchestration layer. On top of that, we want to provide the best in class, what we call all-in Hadoop, which is Pivotal Hadoop. The goal of Pivotal Hadoop is, the reason for you to run Hadoop with us would be the best performance, best scale, and also be able to provide all the services that you need on Hadoop. So that's what we call Pivotal Hadoop. And on top of Pivotal Hadoop is where Pivotal Analytics comes in. And Pivotal Analytics is where you can do real-time streaming data. You can do aggregation. You can do event analytics. You can do behavioral analytics. To the point, you can do modeling. So the reason people do come to Pivotal Analytics should be of many reasons. And we want all of that to be available on the Cloud Foundry infrastructure. So once people come to Spring in Cloud Foundry, you have access to them, all the APIs, SDKs, and libraries for them to build best-in-class application which can use big data services underneath. So that's kind of the view we are doing it. And I think it's an incredible journey of all the assets that Paul pulled together. I'm humbled to be part of this journey. And I would say lucky and thankful for them to be selected in this process. And I'm very happy with them. Congratulations on your successful entrepreneurial journey. We have to get the hook here because our next guest is here. We want to squeeze you in because you're a friend and we're a big admirer of your work at Cetus and now in VMware and now Pivotal. We're obviously following it. I have been positive on Pivotal but I'm not all there yet. I'm still serving judgment. I did slam the CRN article that said compared Paul Moritz to Jeff Bezos which I thought was a little bit over the top. But I think Moritz has got the chops. He's a tools guy. I think he's going to do very well with Pivotal. Right, I think it's also worth pointing out the investment by GE and how that's going to play. I'm curious. I know we don't have a lot of time but I wanted to get one question if I could. The whole concept of the industrial internet and how that fits into your strategy or is that really the underlying area or focus area that you want to provide these capabilities for bringing together that kind of machine generated data? I think if you think of it, I see the data in multiple ways. There's a data that's called, what I call data has certain dimensions and time is an important dimension. We call this time series data. Industrial internet will generate telemetry data as Paul calls it, time series data. The main thing we want to build analytics is should be able to handle a simple good old reporting, clickstream data for all the web and social companies to the industrial internet companies or the applicants will generate sensor data, telemetry data, which has time series in nature. We think that will generate an order of magnitude more data and need have different type of analytics and that requires different type of data structured analytics and we want to take a bet with them. Yeah, it's a very much, you've got to orchestrate a very, it's a very complex environment when you've got, you know, you've got different workload demands when you're talking in an industrial internet scenario. You've got some real time, you've got some already doing more batch analytics to inform some of that real time. So it'll be very interesting to see how that plays out and I think it's a very interesting, I guess it's an investment and a partnership to be doing some research and development with the, you know, is now kind of a, you know, they're a manufacturer of industrial equipment and now they're also in the, really the software and analytics business has applied to that equipment. So it'll be very interesting to watch and, you know, like John, I'm very interested to see how it goes. Yeah, we'd love you guys, great job. Exciting to see the competition. Obviously a lot of people are making these big moves and getting the GE endorsement of the Brazilian music killers. Congratulations. Okay, we'll be back with our next guest here. Exclusive coverage from the Stanford XL Partners Symposium live from Stanford University in Stanford, California. I'm John Furby, right back with our next guest at the short break. Thank you John.