 do your kind of like series A. Probably like 70% of your, you know, stuff is like cap X of X budget, right? Now you slip that down and you're like, but I really need this developers and probably a UED guy, right? Because even in the enterprise software, people are really demanding great experiences. You can go to the market very fast, take something to the market. So you can actually use that feature to test the market. And I think also the mentality has changed now, right? Which is actually a good thing, right? Which is this kind of like lean startup methodology, right? Which what's the minimal viable product? What can you do to test the thesis of hypothesis? Instead of doing like a two year build out in stealth, you can come out with a simple feature, launch it, put it up as a sass app and see if it works. And if it doesn't iterate and move on, right? It's very, very agile. Build it fast and see if they come. Yes, exactly right. Test the market pretty fast. If it doesn't work, you know, pivot and, you know. Shut down your Amazon instance. Exactly right. Hopefully don't lose your data, but yeah. Okay, Todd Peake, great to have you on theCUBE, great CUBE content. Thank you very much for having me. Good luck with your venture. Keep in touch. I'm in Palo Alto days in Massachusetts. So, you know, let's do lunch. Let's do the CUBE and we're looking for CUBE space. I don't know if you heard, but we're moving out. The CUBE is looking for CUBE space. The Cadere office is now so over capacity that SiliconANGLE has to kind of pop out. You've got to get kicked out of there. Kind of LIFO CUBE, you know. That's good. It doesn't that mean you move it down. LIFO? No, no, last and first out, I guess, you know. We're popping down the stack and we're like, okay, no more room for you guys. It's based on that 300 pound storage box. You know, Crane and Jib and I got Studio and, so anyone out there who's in Palo Alto, who needs to get some collaboration going, call us to CUBE. We're looking for a studio home, but we don't want to pay for real estate. Palo Alto real estate's out of control. Great, so tell Mike, we said hello, Mike Dahlberg, partner out there. Great guy, battery ventures, great firm. One of the good firms out there for venture. Good deal you have over there. Thank you very much. Thank you very much for having me. It's a pleasure. Okay. All right, we got the scoop on Hortonworks. We're gonna have, are we gonna have Alex on? Oh, let's keep him on, we don't freeze not here. Okay, okay, we're waiting for Jonathan Gray from Facebook to come by, talking to you hang out for a little longer. Absolutely. Yeah, okay, great. Yeah, well I know. Okay, we're back with Todd P. Thanks for coming on. That was a nice break. We're waiting for Jonathan Gray from Facebook who's here giving us a seminal talk about his experience with HBase. On that note, HBase, obviously getting a lot of great momentum right now. A lot of use cases on it. We have our, I showed you our little product at VMworld that we built vertical engine. We got that together. Again, we had a use case, put it together. It's so easy. Haddup's doing things now, we couldn't do years ago. I mean, if I wanted to do what I'm doing with the Twitter data for SiliconANGLE, it would have cost me more equipment. The database pain and development would have been massive. Just doing the tables and brutal. So, what is that doing to the marketplace? I mean, like, what is, can you just drive? I think it's an interesting observation, right? Which I think in the last 12 months, the most action we've seen in the Haddup community has been people starting to adopt HBase. It's certainly been the kind of like poster child and hottest kind of like project. So you got to take a step back and think, well, why is that? Well, without HBase and without some of the other products out there, Haddup is basically distributed file processing. And it's great if you want to build a search index or a web index, if you're a company like Yahoo or Google. It's not actually that useful for people who actually have data in more kind of discrete events. And so they're like, look, we need some sort of structure. We're used to this structured world where we had rows and columns. So give me something like that that works. So HBase has been filling that niche, right? And I actually think that as part of the overall kind of stack being assembled, HBase is a critical, critical part there. And actually Jonathan was talking this morning about how Facebook is using it in his talk this morning. Were you, did you catch that talk? I did, I was there. Can you summarize what happened? We missed it. Absolutely, so he basically said, we're using HBase at Facebook for doing a lot of real time applications. So they built Facebook messages on top of it and he talked about some of the internal things they have called Puma and stuff like that, which is really looking at HBase as a system to replace stuff like MySQL. And I'm sure he can give you more detail than that when he's here. But to me, that's a highly interesting part of the market, right, which is to say, look, traditionally we thought of Hadoop as this kind of like batch offline, right? And he took these files, they're log files, and he slammed them into this platform and he processed them and he found some data out of it. But as we were talking about before, you know, the trend towards more real time applications requires a different set of, you know, pieces in the overall stack, right? So HBase is actually starting to fill that out. And I think that's a very interesting trend that we see in the market, which is companies are saying, look, time to insight, time to value that I want to get from this data is, you know, critical to me, right? And so I need a different platform. And so I think where a lot of development is going to happen in the ecosystem is going to be towards those sorts of applications. Okay. Okay, so that's a wrap. We've got my note from Mark Risen Hopkins. Our next guest is ready. Thanks for filling in. He's shaded again. Mark, how's it going? Todd P, Dr. Lucky Spin on Twitter. Check him out. Follow him on Twitter.