(intro music) >> Good afternoon guys and gals. Welcome back to The Strip, Las Vegas. It's "theCUBE" live day four of our coverage of "AWS re:Invent". Lisa Martin, Dave Vellante. Dave, we've had some awesome conversations the last four days. I can't believe how many people are still here. The AWS ecosystem seems stronger than ever. >> Yeah, last year we really noted the ecosystem, you know, coming out of the isolation economy 'cause everybody had this old pent up demand to get together and the ecosystem, even last year, we were like, "Wow." This year's like 10x wow. >> It really is 10x wow, it feels that way. We're going to have a 10x wow conversation next. We're bringing back DataStax to "theCUBE". Please welcome Thomas Bean, it's CMO. Thomas welcome to "theCUBE". >> Thanks, thanks a lot, thanks for having me. >> Great to have you, talk to us about what's going on at DataStax, it's been a little while since we talked to you guys. >> Indeed, so DataStax, we are the realtime data company and we've always been involved in technology such as "Apache Cassandra". We actually created to support and take this, this great technology to the market. And now we're taking it, combining it with other technologies such as "Apache Pulse" for streaming to provide a realtime data cloud. Which helps our users, our customers build applications faster and help them scale without limits. So it's all about mobilizing all of this information that is going to drive the application going to create the awesome experience, when you have a customer waiting behind their mobile phone, when you need a decision to take place immediately to, that's the kind of data that we, that we provide in the cloud on any cloud, but especially with, with AWS and providing the performance that technologies like "Apache Cassandra" are known for but also with market leading unit economics. So really empowering customers to operate at speed and scale. >> Speaking of customers, nobody wants less data slower. And one of the things I think we learned in the in the pan, during the pandemic was that access to realtime data isn't nice to have anymore for any business. It is table stakes, it's competitive advantage. There's somebody right behind in the rear view mirror ready to take over. How has the business model of DataStax maybe evolved in the last couple of years with the fact that realtime data is so critical? >> Realtime data has been around for some time but it used to be really niches. You needed a lot of, a lot of people a lot of funding actually to, to implement these, these applications. So we've adapted to really democratize it, made super easy to access. Not only to start developing but also scaling. So this is why we've taken these great technologies made them serverless cloud native on the cloud so that developers could really start easily and scale. So that be on project products could be taken to the, to the market. And in terms of customers, the patterns is we've seen enterprise customers, you were talking about the pandemic, the Home Depot as an example was able to deliver curbside pickup delivery in 30 days because they were already using DataStax and could adapt their business model with a real time application that combines you were just driving by and you would get the delivery of what exactly you ordered without having to go into the the store. So they shifted their whole business model. But we also see a real strong trend about customer experiences and increasingly a lot of tech companies coming because scale means success to them and building on, on our, on our stack to, to build our applications. >> So Lisa, it's interesting. DataStax and "theCUBE" were started the same year, 2010, and that's when it was the beginning of the ascendancy of the big data era. But of course back then there was, I mean very little cloud. I mean most of it was on-prem. And so data stacks had, you know, had obviously you mentioned a number of things that you had to do to become cloud friendly. >> Thomas: Yes. >> You know, a lot of companies didn't make it, make it through. You guys just raised a bunch of dough as well last summer. And so that's been quite a transformation both architecturally, you know, bringing the customers through. I presume part of that was because you had such a great open source community, but also you have a unique value problem. Maybe you could sort of describe that a little. >> Absolutely, so the, I'll start with the open source community where we see a lot of traction at the, at the moment. We were always very involved with, with the "Apache Cassandra". But what we're seeing right now with "Apache Cassandra" is, is a lot of traction, gaining momentum. We actually, we, the open source community just won an award, did an AMA, had a, a vote from their readers about the top open source projects and "Apache Cassandra" and "Apache Pulse" are part of the top three, which is, which is great. We also run a, in collaboration with the Apache Project, the, a series of events around the, around the globe called "Cassandra Days" where we had tremendous attendance. We, some of them, we had to change venue twice because there were more people coming. A lot of students, a lot of the big users of Cassandra like Apple, Netflix who spoke at these, at these events. So we see this momentum actually picking up and that's why we're also super excited that the Linux Foundation is running the Cassandra Summit in in March in San Jose. Super happy to bring that even back with the rest of the, of the community and we have big announcements to come. "Apache Cassandra" will, will see its next version with major advances such as the support of asset transactions, which is going to make it even more suitable to more use cases. So we're bringing that scale to more applications. So a lot of momentum in terms of, in terms of the, the open source projects. And to your point about the value proposition we take this great momentum to which we contribute a lot. It's not only about taking, it's about giving as well. >> Dave: Big committers, I mean... >> Exactly big contributors. And we also have a lot of expertise, we worked with all of the members of the community, many of them being our customers. So going to the cloud, indeed there was architectural work making Cassandra cloud native putting it on Kubernetes, having the right APIs for developers to, to easily develop on top of it. But also becoming a cloud company, building customer success, our own platform engineering. We, it's interesting because actually we became like our partners in a community. We now operate Cassandra in the cloud so that all of our customers can benefit from all the power of Cassandra but really efficiently, super rapidly, and also with a, the leading unit economies as I mentioned. >> How will the, the asset compliance affect your, you know, new markets, new use cases, you know, expand your TAM, can you explain that? >> I think it will, more applications will be able to tap into the power of, of "NoSQL". Today we see a lot on the customer experience as IOT, gaming platform, a lot of SaaS companies. But now with the ability to have transactions at the database level, we can, beyond providing information, we can go even deeper into the logic of the, of the application. So it makes Cassandra and therefore Astra which is our cloud service an even more suitable database we can address, address more even in terms of the transaction that the application itself will, will support. >> What are some of the business benefits that Cassandra delivers to customers in terms of business outcomes helping businesses really transform? >> So Cassandra brings skill when you have millions of customers, when you have million of data points to go through to serve each of the customers. One of my favorite example is Priceline, who runs entirely on our cloud service. You may see one offer, but it's actually everything they know about you and everything they have to offer matched while you are refreshing your page. This is the kind of power that Cassandra provide. But the thing to say about "Apache Cassandra", it used to be also a database that was a bit hard to manage and hard to develop with. This is why as part of the cloud, we wanted to change these aspects, provide developers the API they like and need and what the application need. Making it super simple to operate and, and, and super affordable, also cost effective to, to run. So the the value to your point, it's time to market. You go faster, you don't have to worry when you choose the right database you're not going to, going to have to change horse in the middle of the river, like sixth month down the line. And you know, you have the guarantee that you're going to get the performance and also the best, the best TCO which matters a lot. I think your previous person talking was addressing it. That's also important especially in the, in a current context. >> As a managed service, you're saying, that's the enabler there, right? >> Thomas: Exactly. >> Dave: That is the model today. I mean, you have to really provide that for customers. They don't want to mess with, you know, all the plumbing, right? I mean... >> Absolutely, I don't think people want to manage databases anymore, we do that very well. We take SLAs and such and even at the developer level what they want is an API so they get all the power. All of of this powered by Cassandra, but now they get it as a, and it's as simple as using as, as an API. >> How about the ecosystem? You mentioned the show in in San Jose in March and the Linux Foundation is, is hosting that, is that correct? >> Yes, absolutely. >> And what is it, Cassandra? >> Cassandra Summit. >> Dave: Cassandra Summit >> Yep. >> What's the ecosystem like today in Cassandra, can you just sort of describe that? >> Around Cassandra, you have actually the big hyperscalers. You have also a few other companies that are supporting Cassandra like technologies. And what's interesting, and that's been a, a something we've worked on but also the "Apache Project" has worked on. Working on a lot of the adjacent technologies, the data pipelines, all of the DevOps solutions to make sure that you can actually put Cassandra as part of your way to build these products and, and build these, these applications. So the, the ecosystem keeps on, keeps on growing and actually the, the Cassandra community keeps on opening the database so that it's, it's really easy to have it connect to the rest of the, the rest environment. And we benefit from all of this in our Astra cloud service. >> So things like machine learning, governance tools that's what you would expect in the ecosystem forming around it, right? So we'll see that in March. >> Machine learning is especially a very interesting use case. We see more and more of it. We recently did a, a nice video with one of our customers called Unifour who does exactly this using also our abstract cloud service. What they provide is they analyze videos of sales calls and they help actually the sellers telling them, "Okay here's what happened here was the customer sentiment". Because they have proof that the better the sentiment is, the shorter the sell cycle is going to be. So they teach the, the sellers on how to say the right things, how to control the thing. This is machine learning applied on video. Cassandra provides I think 200 data points per second that feeds this machine learning. And we see more and more of these use cases, realtime use cases. It happens on the fly when you are on your phone, when you have a, a fraud maybe to detect and to prevent. So it is going to be more and more and we see more and more of these integration at the open source level with technologies like even "Feast" project like "Apache Feast". But also in the, in, in the partners that we're working with integrating our Cassandra and our cloud service with. >> Where are customer conversations these days, given that every company has to be a data company. They have to be able to, to democratize data, allow access to it deep into the, into the organizations. Not just IT or the data organization anymore. But are you finding that the conversations are rising up the, up the stack? Is this, is this a a C-suite priority? Is this a board level conversation? >> So that's an excellent question. We actually ran a survey this summer called "The State of the Database" where we, we asked these tech leaders, okay what's top of mind for you? And real time actually was, was really one of the top priorities. And they explained for the one that who call themselves digital leaders that for 71% of them they could correlate directly the use of realtime data, the quality of their experience or their decision making with revenue. And that's really where the discussion is. And I think it's something we can relate to as users. We don't want the, I mean if the Starbucks apps take seconds to to respond there will be a riot over there. So that's, that's something we can feel. But it really, now it's tangible in, in business terms and now then they take a look at their data strategy, are we equipped? Very often they will see, yeah, we have pockets of realtime data, but we're not really able to leverage it. >> Lisa: Yeah. >> For ML use cases, et cetera. So that's a big trend that we're seeing on one end. On the other end, what we're seeing, and it's one of the things we discussed a lot at the event is that yeah cost is important. Growth at all, at all cost does not exist. So we see a lot of push on moving a lot of the workloads to the cloud to make them scale but at the best the best cost. And we also see some organizations where like, okay let's not let a good crisis go to waste and let's accelerate our innovation not at all costs. So that we see also a lot of new projects being being pushed but reasonable, starting small and, and growing and all of this fueled by, by realtime data, so interesting. >> The other big topic amongst the, the customer community is security. >> Yep. >> I presume it's coming up a lot. What's the conversation like with DataStax? >> That's a topic we've been working on intensely since the creation of Astra less than two years ago. And we keep on reinforcing as any, any cloud provider not only our own abilities in terms of making sure that customers can manage their own keys, et cetera. But also integrating to the rest of the, of the ecosystem when some, a lot of our customers are running on AWS, how do we integrate with PrivateLink and such? We fit exactly into their security environment on AWS and they use exactly the same management tool. Because this is also what used to cost a lot in the cloud services. How much do you have to do to wire them and, and manage. And there are indeed compliance and governance challenges. So that's why making sure that it's fully connected that they have full transparency on what's happening is, is a big part of the evolution. It's always, security is always something you're working on but it's, it's a major topic for us. >> Yep, we talk about that on pretty much every event. Security, which we could dive into, but we're out of time. Last question for you. >> Thomas: Yes. >> We're talking before we went live, we're both big Formula One fans. Say DataStax has the opportunity to sponsor a team and you get the whole side pod to, to put like a phrase about DataStax on the side pod of this F1 car. (laughter) Like a billboard, what does it say? >> Billboard, because an F1 car goes pretty fast, it will be hard to, be hard to read but, "Twice the performance at half the cost, try Astra a cloud service." >> Drop the mike. Awesome, Thomas, thanks so much for joining us. >> Thank for having me. >> Pleasure having you guys on the program. For our guest, Thomas Bean and Dave Vellante, I'm Lisa Martin and you're watching "theCUBE" live from day four of our coverage. "theCUBE", the leader in live tech coverage. (outro music)

(The Cube Theme) >> Voiceover: Live from Silicon Valley, it's the Cube, covering Google Cloud Next '17. >> Hey, welcome back here, and we're here live in Palo Alto for a special two days of coverage of Google Next 2017. I've John Furrier here in The Cube. We have reporters and analysts on the ground who are calling in, getting reaction on all the great news, and of course, Google's march to the enterprise cloud really is the big story, of course, they have their cloud they've been powering with their infrastructure and it had great presence, powering their own stuff, just like Amazon.com had Amazon webservices, Google Cloud now powering Google and others. Diane Green, new CEO, taking the reins, making things happen, we covered that news, and for an entrepreneurial perspective we have Tarun Thakur who is a co-founder and CEO Datos.io, former entrepreneur at Data Domain, been in the business, newly funded, Series A entrepreneur funded with True Ventures and Lightspeed. >> That is correct, John, thank you. >> Thanks for coming on. Tell us what you guys do first. Explain what you guys as a company are doing. >> Absolutely. I'd love to first thank you for the opportunity. It's a pleasure to be here. About Datos, I'll sort of zoom out a little bit and if you really see what's really happening out in the industry, our founding premise, me and my co-founder, Prasenjit, our founding principle is very simple. There are some transformative changes happening in the application era. I was just listening to Akash talk rom SAP, and enterprise workloads are moving to the cloud. That was our founding premise, that not only do you not have those IOT workloads, these SAS workloads, the real time analytics workloads, being born in the cloud, but you have all these traditional workloads that are moving as fast as they can to the cloud. So if you really look at that transformative change, we have a very simple founding premise: applications define the choice of the IT stack underneath it. What do we mean by that? The choice of the database, the choice of the storage, the choice of all the data management tooling around it, starting with protection, starting with governance, compliance, and so on and so forth, right? So if the application workloads are under disruption, and they're moving to the cloud, the impact it has on the IT stack underneath is phenomenal. >> So Tarun, you guys had a great write-up in the Register, Chris Miller, who is well known in the story, 'cause we all follow him, he's a great guy, and very fair, but he can be critical, too, he's very snarky. We like his columns. He called you guys the Tesla of the backup world. What does he mean by that? Does he mean it like you have all the bells and whistles of a modern thing, or is there a specific nuance to why he's calling you the Tesla of the backup world? >> No, this is excellent, John. You know, we are fortunate and we're honored. >> Electric backup? I mean, what's happening here? (laughing) I mean, what does he mean by that? What's the meaning? >> Couldn't have given us a better privilege than what he gave. Had a chance to host him in the office, small office, much smaller than what you have here, in December, and a 45 minute session became a two hour session and really he dug into why the Tesla, and essentially it goes back to, John, you had the traditional workloads running on your traditional databases, classical scale-operational databases like Oracle and SQL. Now, you're dealing with these next generation, hyperscale distributed applications. IOT real time analytic is building on that team, those are being deployed fundamentally on distributed architectures. Your Apache Cassandra, your Amazon Dynamo DB, your Google Spanner, now that we're talking in the context of Google Cloud Next, right? When you look at those distributed architectures, there's so much fundamental shift. You don't run them on shared storage, you don't have media servers anymore in the cloud- >> You have the edge. You have the edge out there. >> You have the edge computing. Given all those changes, you have to fundamentally rethink of backup, and that's essentially what we did. Just going back to Tesla, Tesla was started with a fundamentally seminal architecture. >> So you thought this from the ground up. That's essentially one point, and the other one is that it's modern in the sense of it's really taken advantage of the new architecture. >> That's absolutely right, you know, when we started, again, back in June of 2014, we really started with the end in mind, ten years, the next ten years ahead of us, and the end in mind was, "Look, it's going to be distributed architectures, "it's going to be your hyperscale applications, the webscale applications, and you need to be able to understand data and protect it and recover it and manage your data at that scale. >> Okay, so you guys are also Google partners, so you have an interesting perspective. You're on the front lines, Series A entrepreneur, you haven't cleared the runway yet. You still have to prove yourself. The game is just starting; you don't end it with the financing. That's just validation for the vision and the mission, and you've had some good press so far from Chris, now as you execute, you have a partner in Google. What's your analysis of Google, and as someone who's close to them, certainly as an entrepreneur, you're nimble, you're fast, you understand the tech, you mentioned Spanner, great horizontal scale of opportunity, but some of the enterprises might be a little slower, and they have different orientation, so help us understand what's Google doing? What's their main focus? >> I'll give you an answer in three part series. Number one, we are, again, a start-up, seriously, as you said, we have a lot ahead of us, even though we've been out here for three years, it feels like yesterday. (laughing) >> John: It's a grind. >> It is a grind, but to partner Google Cloud, one of our key marquee customers, a Fortune 100 home improvement retailer, under NDA, cannot take their name out of respect. >> John: Well the register says Home Depot. (laughing) >> Okay. >> Okay, so- >> I'll let Chris do the honor, but it's a Fortune 100 home improvement retailer, John, and their line of business, their entire e-commerce platform, the CIO down has moved their entire platform, migrated from DB2 to Google Cloud. It's not running on DB2 on Google Cloud platform, it's running all on a distributed massive scale- >> So did they sunset DB2 or did they completely- >> Tarun: Completely migrated away from DB2. >> Okay. >> It's part of the digital transformation journey Home Depot is at. They are three years in, they have two more years to go, and as part of the digital transformation journey they're on, they are now running their e-commerce website, which, think of you and I going to Thanksgiving and buying your home tools, and that application runs on a highly scalable Apache Cassandra database on Google Cloud. Now, second part, going back to large-scale enterprises, Home Depot, being how progressive they are, they understood cloud does not mean recoverability. Cloud gives me the scale, cloud gives me the economics, cloud gives me the availability, but it doesn't give me the point in time, and I need myself to be covered against that "what if" moment. We have hold-the-delta moments, we have hold-the-gitlack moments, SalesForce.com down with that human error, right? You don't want to be in that position as a Home Depot. >> You mean Amazon went down? >> Tarun: And Amazon. >> Yeah, Amazon went down. >> And if you read the analysis, the analysis was, "We're sorry guys, there was a human error. "Somebody was meant to change this directory; "he changed that directory." >> So this is a whole new game. One of the fears that the enterprises have is that in a new architecture, besides security, which is a huge issue, we'll have another segment on that shortly, but is that I want to leverage the capabilities of the partner in the cloud, because manageability, certain things, I don't want to build on my own, and so I can see you guys being a new modern piece because the data piece is so important because I'm storing at the edge, I'm not moving data around, so there's no data in motion as much as it is on premise. Is that a big part of this? >> It is, from a, I'll zoom out again, from a CIO perspective, we pitched this to about 100+ CIOs so far. From there it is truly, and I hate to use this word, but it's truly a multi-cloud world, John. They have invested in private clouds and an on-prem infrastructure that ain't going anywhere anytime soon. They are moving some of their SAP instances to a CenturyLink, MSPs, the managed service providers, but they know, as a CIO, I have my application developers and I have my lines of businesses- >> John: And they have their operations guys, too. >> Who want to go as fast as they can. I'll come back to the operations in a second because you'll be very surprised to hear this, but again from a CIO down, he wants to make his application developers to go as fast as they can, and he wants the lines of business just to go open up the next applications- >> John: Because that's top-line revenue right there. >> That's top-line revenue right there. So they want scale, they want agility, but they don't want to sacrifice that insurance piece. Going back to the IT ops and the dev-ops and the classical ops, you'll be surprised, we've been working with this team, our lead-in to the Fortune 100 home improvement retailer was a line of business, but right now it's all about their core IT team. Their IT ops team, the database admins, the database ops people, they are the ones who are really running this product day-to-day, day in and day out, and scaling it, and using it at the pace they need to. >> What's the big misconception, if you could point to, about Google, because one of the things we're trying to surface is that Amazon and Google, it's not apples to apples comparison, they're different clouds, and it is multi-cloud, I want to get you to that question today, but we can get to that in a second, what your definition of that means, but for now, what is the big misconception in your mind, people might misconstrue with Google? >> That's a great question, John, and I was hearing your previous interview with Akash, and again, I'll give you our partner-centric view; a young start-up built something disruptive for that platform. We got Amazon as the first platform. We have a good set of customers running on Amazon, and of course, this home improvement retailer took us to Google Cloud, "Hey guys, if you want to work with us, "you have to support Google Cloud." We went to Google Cloud, and the amount of pull that we got from Google Cloud folks to make it happen in less than three months was phenomenal. They didn't stop at that. They brought their solution architect team, Google Cloud, wrote a paper about Datos, their team, and posted it on their website. "How to use Datos on Google Cloud." Fascinating. Amazon has never done that. It, again, speaks to if you see all the announcements that came out yesterday, Google Cloud has been a significant- >> Well Google's partnering, Google's partnering, one of the things that came out of today's news that has been teased out is Diane Green said in the keynote, "I like partnering." She used the word, "I like partnering," meaning Google, and she has that DNA. She's from VM, where she knows the valley game, she understands ecosystems. She also likes to work on some cool stuff, which could be a double-edged sword. She's always been innovating. But Google has the tech, and she knows enterprise, so they're marching down that road. What areas would you say Google needs to sharpen up a little bit to kind of move faster on? I mean, obviously there's no critique on them; they're pedaling as fast as they can, but in the areas you think they should work on, is it security, is it the data side, what are the things that you think they've got to pedal a little faster on. >> I would definitely start with enterprising touch. I think they need to really amp up the game around enterprise. >> John: You mean the people, the process? >> The people, the processes, the onboarding, the deployment, giving them the blue templates, giving them reference architectures, giving them, hand ruling them a little bit, and I think that'll go a long ways- >> John: The basic enterprise motions. >> Yes, you need that. You're a cloud; that doesn't mean my database guy is not going to need the help of a Google Cloud admin to help me onboard. They need that wrap-up. From their point on they build phenomenal scalable services. Snap invested two billion dollars in Google Cloud. They understand- >> And Amazon got the other half, but- >> The underlying infrastructure is there. >> Yeah but this is the thing. The problem that, the problem is that there's two perspectives of what we see. One is people want to run like Google in the sense of how they're scaling, but not everyone has Google-like infrastructure, so I think Google has to kind of, they want the developers, in my mind, they get a A+ there, with open source, what they do with Kubernetes and whatnot, the operational orientation is something they've got to work on, SLAs are more important than price. >> Managing the orchestration piece, giving them the visibility, letting them come on and come off, and going back to multi-cloud, I'll tell you again, the same customer took us to a use case, which is so fascinating, John. They want on-prem backup and recovery. Remember, protection is the Trojan horse. Protection, it all starts with protection. >> It's always one of those things that's always been front and center. You saw that. It used to be kind of a throw-away thing. "Oh, what about backup? "Oh, we didn't factor in." Now it's front and center, certainly cloud is going to be impacted because data's everywhere. Data's going to be highly frictionless. Okay, question, and final question on this piece, where we talk about what you guys are doing, what does multi-cloud mean, or two questions: what is the definition of multi-cloud, and what does cloud-native mean to you? Define those terms. >> Absolutely. Those two terms are very, very close to us. So multi-cloud, I'll begin with that. I'll give you a customer use case that will hopefully ground the conversation. A multi-cloud essentially means from a customer perspective, I'm going to run on-prem infrastructure, I want to be able to recover or manage that data in the cloud, I don't want to make multiple copies, I don't want to duplicate data, I want to recover a version of that data in the cloud, why? Because I have my application developers who want to test staff. I want my DR to be in a different cloud. I do not want to put all my eggs in one basket. So again, it is truly- >> John: It's a diversity issue. >> It is, and they want multiple-use cases to be spread across clouds. Some clouds have strength in DR, some clouds, like Amazon, have strength in orchestration, and onboarding, and some cloud platforms like Google Cloud have strengths in, hey, you can bring your application developers and you don't have to worry about retail. Some of the retailers, like Gap, like Safeway, like eBay, those guys will hesitate to go to Amazon because they know Amazon, at the heart, is a retail business. >> So conflict there. Now, cloud-native. Define cloud-native. >> Cloud-native, to us, is you have Oracle running that database natively within the services of the cloud. For example, take Amazon Dynamo DB. It's a beautiful example of a cloud-native service. You don't run Dynamo DB on-prem. It was built ultimately for the cloud. Cloud Spanner, another example of cloud-native. It is built for that infrastructure, floor ground up, and has been nurtured for the last ten years for the elastic infrastructure. >> Alright, Tarun, great to have you on. Quick plug for what you guys are doing. What's next? You got the Series A, you're getting customers, you got a big customer you can't talk about, but it's in the Register article, Home Depot. What other things are you working on? What's the key priorities? Hiring? You've got some new announcements coming up I hear. Rumor mill, I won't say who they are, but you're partnering. What's the key focus? What's your key objectives? >> No, we only stay focused on building, and as you early on said, it's still early for us. We want to stay focused on getting customer acquisition, customer momentum, deploying those customers, making them happy customers, having them become referenceable customers for us, and of course, the next big focus for me personally is going to be bringing some of the people in the team, some of the people who can help me scale the company- >> John: Engineering- >> Engineering, marketing, business development, sales, go to market, so that's going to be second we're to focus, and third, and again, you'll hear the announcement coming very quickly, we're going to be partnering with some of the leading enterprise infrastructure companies, both on their enterprise traditional storage companies, and some of the leading, I'm just going to leave it at that. >> And True Ventures is the seed investor and Lightspeed on the Series A, the True company on the Series A with them. 'Cause they tend to follow, they don't leave you hanging. >> Yeah, Puneet is excellent. I love him. >> Yeah, John Callahan's company's got great stuff. And they had some great eggs, they had FitBit and they've got a lot of great stuff going on. >> Well they're excellent, excellent pro-entrepreneur people. Great to work with as well. >> High integrity, great people. Tarun, thanks for coming on and sharing the entrepreneurial perspective, the innovation perspective, certainly as a Google partner, good to have your reaction and analysis. >> Thank you, John. >> It's The Cube, bringing you all the action from Google Next here in our studio. More Google Next coverage after this short break. (The Cube Theme)