 From Silicon Valley, it's theCUBE. Covering Google Cloud Next 17. Okay welcome back and we're here live in Palo Alto for special two days of coverage of Google Next 2017. I'm John Furrier here in theCUBE. We have reporters and analysts on the ground we're 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 have had great presence for powering their own stuff. Just like Amazon.com had Amazon web services, Google Cloud now powering Google and others Diane Green, new CEO taking the reins making things happen, we cover that news. And for an entrepreneurial perspective we have Tarun Thakur who's the co-founder and CEO of Datos I.O. Datos I.O. D-A-T-O-S dot I.O. Former entrepreneur at Data Domain been in the business, newly funded. Series A entrepreneur funded with true ventures and light speed. I just 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 love to first thank you for the opportunity, it's a pleasure to be here. You know about Datos I'll sort of zoom out a little bit and if you really see what's really happening out in the industry, you know our founding premise both me and my co-founder, Prasinjit our founding principle is very simple. There are some transformative changes happening in the application era, right? I was just listening to Akash talk from SAP and enterprise workloads are moving to the cloud, right? That's if that was a founding premise that not only do you not have those IoT workloads, the SaaS 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, right? So if you really look at that sort of 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 this is phenomenal. So Tarun, you guys had a great write up in the register, Chris Miller, who's well known in the stories because we all follow him, great guy. And he's very fair, 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 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. We are fortunate and we are honored, you know, Chris gave us. Electric backup? I mean, what's happening here? I mean, what does he mean by that? No, no, Chris, you know, couldn't have done a, couldn't have given us a better privilege than what he gave. Got a chance to host him in the office, small office, much smaller than what you have here in December and, you know, a 45 minute session became a two hour session and really he dug into why the Tesla and, you know, essentially it goes back to, John, you had the traditional workloads running on your traditional databases, classical scale up relational databases like Oracle and SQL, right? Now you're dealing with these next generation hyperscale distributed applications, IoT, real-time analytics, building on that theme, those are being deployed fundamentally on distributed architectures. You're Apache Cassandra, you're Amazon DynamoDB, you're 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. It's all elastic compute. You have the edge, aren't there? You have the edge computing. Given all those changes, you had 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 taking advantage of the new architecture. That's absolutely right. When we started again back in June of 2014, we really started with the end in mind, the 10 years, the next 10 years ahead of us, right? And the end in mind was, look, it's going to be distributed architectures. It's going to be your hyperscale applications, the web skill applications. And you need to be able to understand data and protect it and recover it and manage it at that scale. Okay, so you guys are also a Google partner. So you have an interesting perspective. You're in the front lines. A series A entrepreneur, you haven't cleared the runway yet. You still have to prove yourself. Absolutely. The game is just starting. You don't end it with the financing. That's just validation for the vision and the mission and get 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 miss a spanner, great horrors only, scalable opportunity. But some of the enterprises might be a little slower. Absolutely. Different orientations. So help us understand what is Google doing? What's the main focus? No, absolutely. I'll give you an answer in three-part series, right? Number one, we are, again, a startup series. As you said, we have a lot ahead of us. It's, even though we've been at it for three years, it feels like yesterday. Right? It's a grind. The joy of the grind. It is a grind. But to the point of Google Cloud, you know, one of our key marquee customers, a Fortune 100 home improvement retailer under NDA, I cannot take their name out of the list. The register says Home Depot. Okay. 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 they sunset DB2 or did they? They have completely migrated away from DB2. It's part of the digital transformation journey that Home Depot is at. They're 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 our home tools. And that application runs on a highly scalable Apache Cassandra database on Google Cloud. Now, second part, right? 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 heard the Delta moments, we've heard the GitLab moments, we've heard Salesforce.com down with that human error. You do not want to be in that position as a Home Depot. You mean Amazon went down. And Amazon went down. Yeah, Amazon went down. And if you read the analysis, the analysis was, you'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. So the one of the fears that the enterprise have is that in a new architecture besides security, which is a huge issue, we would have another segment on that shortly, but is that I have to, 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. Exactly. 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. Absolutely. Is that a big part of this? It is, I'll zoom out again a little bit from a CIO perspective, right? And we are, we've pitched this to about 100 plus CIOs so far. From then 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 century-link MSPs, the managed service providers. But they know as a CIO, I have my application developers and I have my lines of businesses and they have their operation 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 go as fast as they can and he wants the lines of businesses to go open up the next applications for the center. Because that's top-line revenue right there. That's top-line revenue there. So they want scale, they want agility, but they don't want to sacrifice that insurance piece, right? 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 into Fortune 100, home improvement retailer, was a line of business. But right now, it's all about their core IT team. The 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 comparisons, they're different clouds, and there's multi-cloud, I'll get you to that question today, but we'll get that in a second, your definition of what that means. But for now, what is the big misconception in your mind, people that might misconstrue with Google? No, that's a great question, John, and I was hearing your previous interview with Akash, and again, I'll give you a partner-centric view, right, a young startup builds something disruptive for that platform. We got Amazon as the first platform, we have about a good set of customers running on Amazon, and then, 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 is going to be significant in this. Google's partnering. One of the things that came out of today's news that hasn't been teased out is that Diane Greene said on the keynote, I like partnering. She's the word I like partnering, meaning Google. And she has that DNA. She's from VMware. 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 peddling as fast as they can. But in the areas that you think they should work on is the securities, is it the data side? What are the things that you think they've got to pedal a little faster on? You know, I would definitely start with the enterprise they touch. I think they need to really sort of amp up the game around enterprise. You know, the people, the process. The people, the processes, the onboarding, the deployment, giving them the blue templates, giving them the reference architectures, giving them hand-holding them a little bit, right? And I think that'll go long ways. The basic enterprise motions. Yes, you need that, right? You're a cloud that doesn't mean my database guy is not going to need the help of a Google Cloud and meant to help me onboard. They need that ramp up from their point on they've built phenomenal scalable services, right? And you see, Snap invested $2 billion in Google Cloud. They understand that they've got the other half. Underlining infrastructure is there. No, but this is the thing. The problem that, well, 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. That is correct. So I think Google has to kind of, they want the developers in my mind to get an A plus there, open source, what they're doing with Kubernetes and whatnot. The operational orientation is something they've got to work on. No, they're absolutely- SLA's are more important than price. The management, the orchestration piece, giving them the visibility, letting them come on and come off and things. And going back to your 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 been, it's always been front and center. You saw that. It used to be kind of a throwaway thing. Oh, we got, oh, what about backup? Oh, we didn't factor in, does that? Now it's front and center. Certainly cloud, it's going to be impacted because data's everywhere. Data's going to be highly frictionless. So okay, question and final question on this piece before we talk about what you guys are doing. What is multi-cloud mean, or two questions. What is definition of multi-cloud and what is cloud native mean to you? To find those terms. Absolutely, those two terms are very, very close to us. So multi-cloud, I'll begin with that. It'll give you a customer use case that'll 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 be able to recover a version of that data in the cloud why, because I have my application developers who want to test that. 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, this is a- 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 need to worry about retail, right? Some of the retailers like SAP, like Gap, like Sefe, like eBay, those guys will hesitate to going to Amazon because they know Amazon at the heart is a retail business, right? So keep that in mind. Yeah, so kind of look there. Now cloud native, define cloud native. You know, cloud native to us is look, you have an article, right? Running that database natively within the services of the cloud, right? For example, take Amazon DynamoDB. It's a beautiful example of a cloud native service. You don't run DynamoDB on-prem. It was built fundamentally for the cloud. Cloud Spanner, another example of cloud native, right? It is built for that infrastructure, foreground up and has been nurtured for the last 10 years for the elastic infrastructure. All right, 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 are the things you working on? What's the key priority? Hiring, you got some new announcements coming up by here. Rumor, rumor meal, I won't say who they are but you're partnering, what's the key focus? What's your key objective? No, we want to stay focused on building, building as you early on said, it's still early, right? 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, who can help scale the company. Engineering, business. Engineering, marketing, business development, sales, go to market. So that's going to be second Peter focus and third, you know, and again, you'll hear the announcement coming out very quickly. We're going to be partnering with some of the leading, leading enterprise infrastructure companies, both on the enterprise, traditional storage companies and some of the leading, you know, I'm just going to leave it at that. And your true ventures as a seed investor in Lightspeed on the Series A? Lightspeed? Did True come in on the Series A with that? Absolutely. Because they tend to fault, they don't leave you hanging. Put it, put it, it's excellent, I love it. Yeah, John Callahan's company's got great stuff. And they have some great eggs that they had FitBit and they've got a lot of good stuff going on. Excellent, excellent pro-entrepreneur people. Yeah, great to work with those. High integrity, great people. Turman, thanks for coming on and sharing the entrepreneurial perspective, the innovation perspective. And certainly as a Google partner, great to have your reaction and analysis. That's theCUBE bringing you all the action from Google Next here in our studio. More Google Next coverage after this short break.