>> Hi, I'm Natalie Ehrlich and welcome to the AWS startup showcase presented by The Cube. We have an amazing lineup of great guests who will share their insights on the latest innovations and solutions and leveraging cloud scale data in AI, security and life sciences. And now we're joined by the co-founders and co-CEOs of The Cube, Dave Vellante and John Furrier. Thank you gentlemen for joining me. >> Hey Natalie. >> Hey Natalie. >> How are you doing. Hey John. >> Well, I'd love to get your insights here, let's kick it off and what are you looking forward to. >> Dave, I think one of the things that we've been doing on the cube for 11 years is looking at the signal in the marketplace. I wanted to focus on this because AI is cutting across all industries. So we're seeing that with cybersecurity and life sciences, it's the first time we've had a life sciences track in the showcase, which is amazing because it shows that growth of the cloud scale. So I'm super excited by that. And I think that's going to showcase some new business models and of course the keynotes Ali Ghodsi, who's the CEO Data bricks pushing a billion dollars in revenue, clear validation that startups can go from zero to a billion dollars in revenues. So that should be really interesting. And of course the top venture capitalists coming in to talk about what the enterprise dynamics are all about. And what about you, Dave? >> You know, I thought it was an interesting mix and choice of startups. When you think about, you know, AI security and healthcare, and I've been thinking about that. Healthcare is the perfect industry, it is ripe for disruption. If you think about healthcare, you know, we all complain how expensive it is not transparent. There's a lot of discussion about, you know, can everybody have equal access that certainly with COVID the staff is burned out. There's a real divergence and diversity of the quality of healthcare and you know, it all results in patients not being happy, and I mean, if you had to do an NPS score on the patients and healthcare will be pretty low, John, you know. So when I think about, you know, AI and security in the context of healthcare in cloud, I ask questions like when are machines going to be able to better meet or make better diagnoses than doctors? And that's starting. I mean, it's really in assistance putting into play today. But I think when you think about cheaper and more accurate image analysis, when you think about the overall patient experience and trust and personalized medicine, self-service, you know, remote medicine that we've seen during the COVID pandemic, disease tracking, language translation, I mean, there are so many things where the cloud and data, and then it can help. And then at the end of it, it's all about, okay, how do I authenticate? How do I deal with privacy and personal information and tamper resistance? And that's where the security play comes in. So it's a very interesting mix of startups. I think that I'm really looking forward to hearing from... >> You know Natalie one of the things we talked about, some of these companies, Dave, we've talked a lot of these companies and to me the business model innovations that are coming out of two factors, the pandemic is kind of coming to an end so that accelerated and really showed who had the right stuff in my opinion. So you were either on the wrong side or right side of history when it comes to the pandemic and as we look back, as we come out of it with clear growth in certain companies and certain companies that adopted let's say cloud. And the other one is cloud scale. So the focus of these startup showcases is really to focus on how startups can align with the enterprise buyers and create the new kind of refactoring business models to go from, you know, a re-pivot or refactoring to more value. And the other thing that's interesting is that the business model isn't just for the good guys. If you look at say ransomware, for instance, the business model of hackers is gone completely amazing too. They're kicking it but in terms of revenue, they have their own they're well-funded machines on how to extort cash from companies. So there's a lot of security issues around the business model as well. So to me, the business model innovation with cloud-scale tech, with the pandemic forcing function, you've seen a lot of new kinds of decision-making in enterprises. You seeing how enterprise buyers are changing their decision criteria, and frankly their existing suppliers. So if you're an old guard supplier, you're going to be potentially out because if you didn't deliver during the pandemic, this is the issue that everyone's talking about. And it's kind of not publicized in the press very much, but this is actually happening. >> Well thank you both very much for joining me to kick off our AWS startup showcase. Now we're going to go to our very special guest Ali Ghodsi and John Furrier will seat with him for a fireside chat and Dave and I will see you on the other side. >> Okay, Ali great to see you. Thanks for coming on our AWS startup showcase, our second edition, second batch, season two, whatever we want to call it it's our second version of this new series where we feature, you know, the hottest startups coming out of the AWS ecosystem. And you're one of them, I've been there, but you're not a startup anymore, you're here pushing serious success on the revenue side and company. Congratulations and great to see you. >> Likewise. Thank you so much, good to see you again. >> You know I remember the first time we chatted on The Cube, you weren't really doing much software revenue, you were really talking about the new revolution in data. And you were all in on cloud. And I will say that from day one, you were always adamant that it was cloud cloud scale before anyone was really talking about it. And at that time it was on premises with Hadoop and those kinds of things. You saw that early. I remember that conversation, boy, that bet paid out great. So congratulations. >> Thank you so much. >> So I've got to ask you to jump right in. Enterprises are making decisions differently now and you are an example of that company that has gone from literally zero software sales to pushing a billion dollars as it's being reported. Certainly the success of Data bricks has been written about, but what's not written about is the success of how you guys align with the changing criteria for the enterprise customer. Take us through that and these companies here are aligning the same thing and enterprises want to change. They want to be in the right side of history. What's the success formula? >> Yeah. I mean, basically what we always did was look a few years out, the how can we help these enterprises, future proof, what they're trying to achieve, right? They have, you know, 30 years of legacy software and, you know baggage, and they have compliance and regulations, how do we help them move to the future? So we try to identify those kinds of secular trends that we think are going to maybe you see them a little bit right now, cloud was one of them, but it gets more and more and more. So we identified those and there were sort of three or four of those that we kind of latched onto. And then every year the passes, we're a little bit more right. Cause it's a secular trend in the market. And then eventually, it becomes a force that you can't kind of fight anymore. >> Yeah. And I just want to put a plug for your clubhouse talks with Andreessen Horowitz. You're always on clubhouse talking about, you know, I won't say the killer instinct, but being a CEO in a time where there's so much change going on, you're constantly under pressure. It's a lonely job at the top, I know that, but you've made some good calls. What was some of the key moments that you can point to, where you were like, okay, the wave is coming in now, we'd better get on it. What were some of those key decisions? Cause a lot of these startups want to be in your position, and a lot of buyers want to take advantage of the technology that's coming. They got to figure it out. What was some of those key inflection points for you? >> So if you're just listening to what everybody's saying, you're going to miss those trends. So then you're just going with the stream. So, Juan you mentioned that cloud. Cloud was a thing at the time, we thought it's going to be the thing that takes over everything. Today it's actually multi-cloud. So multi-cloud is a thing, it's more and more people are thinking, wow, I'm paying a lot's to the cloud vendors, do I want to buy more from them or do I want to have some optionality? So that's one. Two, open. They're worried about lock-in, you know, lock-in has happened for many, many decades. So they want open architectures, open source, open standards. So that's the second one that we bet on. The third one, which you know, initially wasn't sort of super obvious was AI and machine learning. Now it's super obvious, everybody's talking about it. But when we started, it was kind of called artificial intelligence referred to robotics, and machine learning wasn't a term that people really knew about. Today, it's sort of, everybody's doing machine learning and AI. So betting on those future trends, those secular trends as we call them super critical. >> And one of the things that I want to get your thoughts on is this idea of re-platforming versus refactoring. You see a lot being talked about in some of these, what does that even mean? It's people trying to figure that out. Re-platforming I get the cloud scale. But as you look at the cloud benefits, what do you say to customers out there and enterprises that are trying to use the benefits of the cloud? Say data for instance, in the middle of how could they be thinking about refactoring? And how can they make a better selection on suppliers? I mean, how do you know it used to be RFP, you deliver these speeds and feeds and you get selected. Now I think there's a little bit different science and methodology behind it. What's your thoughts on this refactoring as a buyer? What do I got to do? >> Well, I mean let's start with you said RFP and so on. Times have changed. Back in the day, you had to kind of sign up for something and then much later you're going to get it. So then you have to go through this arduous process. In the cloud, would pay us to go model elasticity and so on. You can kind of try your way to it. You can try before you buy. And you can use more and more. You can gradually, you don't need to go in all in and you know, say we commit to 50,000,000 and six months later to find out that wow, this stuff has got shelf where it doesn't work. So that's one thing that has changed it's beneficial. But the second thing is, don't just mimic what you had on prem in the cloud. So that's what this refactoring is about. If you had, you know, Hadoop data lake, now you're just going to have an S3 data lake. If you had an on-prem data warehouse now you just going to have a cloud data warehouse. You're just repeating what you did on prem in the cloud, architected for the future. And you know, for us, the most important thing that we say is that this lake house paradigm is a cloud native way of organizing your data. That's different from how you would do things on premises. So think through what's the right way of doing it in the cloud. Don't just try to copy paste what you had on premises in the cloud. >> It's interesting one of the things that we're observing and I'd love to get your reaction to this. Dave a lot** and I have been reporting on it is, two personas in the enterprise are changing their organization. One is I call IT ops or there's an SRE role developing. And the data teams are being dismantled and being kind of sprinkled through into other teams is this notion of data, pipelining being part of workflows, not just the department. Are you seeing organizational shifts in how people are organizing their resources, their human resources to take advantage of say that the data problems that are need to being solved with machine learning and whatnot and cloud-scale? >> Yeah, absolutely. So you're right. SRE became a thing, lots of DevOps people. It was because when the cloud vendors launched their infrastructure as a service to stitch all these things together and get it all working you needed a lot of devOps people. But now things are maturing. So, you know, with vendors like Data bricks and other multi-cloud vendors, you can actually get much higher level services where you don't need to necessarily have lots of lots of DevOps people that are themselves trying to stitch together lots of services to make this work. So that's one trend. But secondly, you're seeing more data teams being sort of completely ubiquitous in these organizations. Before it used to be you have one data team and then we'll have data and AI and we'll be done. ' It's a one and done. But that's not how it works. That's not how Google, Facebook, Twitter did it, they had data throughout the organization. Every BU was empowered. It's sales, it's marketing, it's finance, it's engineering. So how do you embed all those data teams and make them actually run fast? And you know, there's this concept of a data mesh which is super important where you can actually decentralize and enable all these teams to focus on their domains and run super fast. And that's really enabled by this Lake house paradigm in the cloud that we're talking about. Where you're open, you're basing it on open standards. You have flexibility in the data types and how they're going to store their data. So you kind of provide a lot of that flexibility, but at the same time, you have sort of centralized governance for it. So absolutely things are changing in the market. >> Well, you're just the professor, the masterclass right here is amazing. Thanks for sharing that insight. You're always got to go out of date and that's why we have you on here. You're amazing, great resource for the community. Ransomware is a huge problem, it's now the government's focus. We're being attacked and we don't know where it's coming from. This business models around cyber that's expanding rapidly. There's real revenue behind it. There's a data problem. It's not just a security problem. So one of the themes in all of these startup showcases is data is ubiquitous in the value propositions. One of them is ransomware. What's your thoughts on ransomware? Is it a data problem? Does cloud help? Some are saying that cloud's got better security with ransomware, then say on premise. What's your vision of how you see this ransomware problem being addressed besides the government taking over? >> Yeah, that's a great question. Let me start by saying, you know, we're a data company, right? And if you say you're a data company, you might as well just said, we're a privacy company, right? It's like some people say, well, what do you think about privacy? Do you guys even do privacy? We're a data company. So yeah, we're a privacy company as well. Like you can't talk about data without talking about privacy. With every customer, with every enterprise. So that's obviously top of mind for us. I do think that in the cloud, security is much better because, you know, vendors like us, we're investing so much resources into security and making sure that we harden the infrastructure and, you know, by actually having all of this infrastructure, we can monitor it, detect if something is, you know, an attack is happening, and we can immediately sort of stop it. So that's different from when it's on prem, you have kind of like the separated duties where the software vendor, which would have been us, doesn't really see what's happening in the data center. So, you know, there's an IT team that didn't develop the software is responsible for the security. So I think things are much better now. I think we're much better set up, but of course, things like cryptocurrencies and so on are making it easier for people to sort of hide. There decentralized networks. So, you know, the attackers are getting more and more sophisticated as well. So that's definitely something that's super important. It's super top of mind. We're all investing heavily into security and privacy because, you know, that's going to be super critical going forward. >> Yeah, we got to move that red line, and figure that out and get more intelligence. Decentralized trends not going away it's going to be more of that, less of the centralized. But centralized does come into play with data. It's a mix, it's not mutually exclusive. And I'll get your thoughts on this. Architectural question with, you know, 5G and the edge coming. Amazon's got that outpost stringent, the wavelength, you're seeing mobile world Congress coming up in this month. The focus on processing data at the edge is a huge issue. And enterprises are now going to be commercial part of that. So architecture decisions are being made in enterprises right now. And this is a big issue. So you mentioned multi-cloud, so tools versus platforms. Now I'm an enterprise buyer and there's no more RFPs. I got all this new choices for startups and growing companies to choose from that are cloud native. I got all kinds of new challenges and opportunities. How do I build my architecture so I don't foreclose a future opportunity. >> Yeah, as I said, look, you're actually right. Cloud is becoming even more and more something that everybody's adopting, but at the same time, there is this thing that the edge is also more and more important. And the connectivity between those two and making sure that you can really do that efficiently. My ask from enterprises, and I think this is top of mind for all the enterprise architects is, choose open because that way you can avoid locking yourself in. So that's one thing that's really, really important. In the past, you know, all these vendors that locked you in, and then you try to move off of them, they were highly innovative back in the day. In the 80's and the 90's, there were the best companies. You gave them all your data and it was fantastic. But then because you were locked in, they didn't need to innovate anymore. And you know, they focused on margins instead. And then over time, the innovation stopped and now you were kind of locked in. So I think openness is really important. I think preserving optionality with multi-cloud because we see the different clouds have different strengths and weaknesses and it changes over time. All right. Early on AWS was the only game that either showed up with much better security, active directory, and so on. Now Google with AI capabilities, which one's going to win, which one's going to be better. Actually, probably all three are going to be around. So having that optionality that you can pick between the three and then artificial intelligence. I think that's going to be the key to the future. You know, you asked about security earlier. That's how people detect zero day attacks, right? You ask about the edge, same thing there, that's where the predictions are going to happen. So make sure that you invest in AI and artificial intelligence very early on because it's not something you can just bolt on later on and have a little data team somewhere that then now you have AI and it's one and done. >> All right. Great insight. I've got to ask you, the folks may or may not know, but you're a professor at Berkeley as well, done a lot of great work. That's where you kind of came out of when Data bricks was formed. And the Berkeley basically was it invented distributed computing back in the 80's. I remember I was breaking in when Unix was proprietary, when software wasn't open you actually had the deal that under the table to get code. Now it's all open. Isn't the internet now with distributed computing and how interconnects are happening. I mean, the internet didn't break during the pandemic, which proves the benefit of the internet. And that's a positive. But as you start seeing edge, it's essentially distributed computing. So I got to ask you from a computer science standpoint. What do you see as the key learnings or connect the dots for how this distributed model will work? I see hybrids clearly, hybrid cloud is clearly the operating model but if you take it to the next level of distributed computing, what are some of the key things that you look for in the next five years as this starts to be completely interoperable, obviously software is going to drive a lot of it. What's your vision on that? >> Yeah, I mean, you know, so Berkeley, you're right for the gigs, you know, there was a now project 20, 30 years ago that basically is how we do things. There was a project on how you search in the very early on with Inktomi that became how Google and everybody else to search today. So workday was super, super early, sometimes way too early. And that was actually the mistake. Was that they were so early that people said that that stuff doesn't work. And then 20 years later you were invented. So I think 2009, Berkeley published just above the clouds saying the cloud is the future. At that time, most industry leaders said, that's just, you know, that doesn't work. Today, recently they published a research paper called, Sky Computing. So sky computing is what you get above the clouds, right? So we have the cloud as the future, the next level after that is the sky. That's one on top of them. That's what multi-cloud is. So that's a lot of the research at Berkeley, you know, into distributed systems labs is about this. And we're excited about that. Then we're one of the sky computing vendors out there. So I think you're going to see much more innovation happening at the sky level than at the compute level where you needed all those DevOps and SRE people to like, you know, build everything manually themselves. I can just see the memes now coming Ali, sky net, star track. You've got space too, by the way, space is another frontier that is seeing a lot of action going on because now the surface area of data with satellites is huge. So again, I know you guys are doing a lot of business with folks in that vertical where you starting to see real time data acquisition coming from these satellites. What's your take on the whole space as the, not the final frontier, but certainly as a new congested and contested space for, for data? >> Well, I mean, as a data vendor, we see a lot of, you know, alternative data sources coming in and people aren't using machine learning< AI to eat out signal out of the, you know, massive amounts of imagery that's coming out of these satellites. So that's actually a pretty common in FinTech, which is a vertical for us. And also sort of in the public sector, lots of, lots of, lots of satellites, imagery data that's coming. And these are massive volumes. I mean, it's like huge data sets and it's a super, super exciting what they can do. Like, you know, extracting signal from the satellite imagery is, and you know, being able to handle that amount of data, it's a challenge for all the companies that we work with. So we're excited about that too. I mean, definitely that's a trend that's going to continue. >> All right. I'm super excited for you. And thanks for coming on The Cube here for our keynote. I got to ask you a final question. As you think about the future, I see your company has achieved great success in a very short time, and again, you guys done the work, I've been following your company as you know. We've been been breaking that Data bricks story for a long time. I've been excited by it, but now what's changed. You got to start thinking about the next 20 miles stair when you look at, you know, the sky computing, you're thinking about these new architectures. As the CEO, your job is to one, not run out of money which you don't have to worry about that anymore, so hiring. And then, you got to figure out that next 20 miles stair as a company. What's that going on in your mind? Take us through your mindset of what's next. And what do you see out in that landscape? >> Yeah, so what I mentioned around Sky company optionality around multi-cloud, you're going to see a lot of capabilities around that. Like how do you get multi-cloud disaster recovery? How do you leverage the best of all the clouds while at the same time not having to just pick one? So there's a lot of innovation there that, you know, we haven't announced yet, but you're going to see a lot of it over the next many years. Things that you can do when you have the optionality across the different parts. And the second thing that's really exciting for us is bringing AI to the masses. Democratizing data and AI. So how can you actually apply machine learning to machine learning? How can you automate machine learning? Today machine learning is still quite complicated and it's pretty advanced. It's not going to be that way 10 years from now. It's going to be very simple. Everybody's going to have it at their fingertips. So how do we apply machine learning to machine learning? It's called auto ML, automatic, you know, machine learning. So that's an area, and that's not something that can be done with, right? But the goal is to eventually be able to automate a way the whole machine learning engineer and the machine learning data scientist altogether. >> You know it's really fun and talking with you is that, you know, for years we've been talking about this inside the ropes, inside the industry, around the future. Now people starting to get some visibility, the pandemics forced that. You seeing the bad projects being exposed. It's like the tide pulled out and you see all the scabs and bad projects that were justified old guard technologies. If you get it right you're on a good wave. And this is clearly what we're seeing. And you guys example of that. So as enterprises realize this, that they're going to have to look double down on the right projects and probably trash the bad projects, new criteria, how should people be thinking about buying? Because again, we talked about the RFP before. I want to kind of circle back because this is something that people are trying to figure out. You seeing, you know, organic, you come in freemium models as cloud scale becomes the advantage in the lock-in frankly seems to be the value proposition. The more value you provide, the more lock-in you get. Which sounds like that's the way it should be versus proprietary, you know, protocols. The protocol is value. How should enterprises organize their teams? Is it end to end workflows? Is it, and how should they evaluate the criteria for these technologies that they want to buy? >> Yeah, that's a great question. So I, you know, it's very simple, try to future proof your decision-making. Make sure that whatever you're doing is not blocking your in. So whatever decision you're making, what if the world changes in five years, make sure that if you making a mistake now, that's not going to bite you in about five years later. So how do you do that? Well, open source is great. If you're leveraging open-source, you can try it out already. You don't even need to talk to any vendor. Your teams can already download it and try it out and get some value out of it. If you're in the cloud, this pay as you go models, you don't have to do a big RFP and commit big. You can try it, pay the vendor, pay as you go, $10, $15. It doesn't need to be a million dollar contract and slowly grow as you're providing value. And then make sure that you're not just locking yourself in to one cloud or, you know, one particular vendor. As much as possible preserve your optionality because then that's not a one-way door. If it turns out later you want to do something else, you can, you know, pick other things as well. You're not locked in. So that's what I would say. Keep that top of mind that you're not locking yourself into a particular decision that you made today, that you might regret in five years. >> I really appreciate you coming on and sharing your with our community and The Cube. And as always great to see you. I really enjoy your clubhouse talks, and I really appreciate how you give back to the community. And I want to thank you for coming on and taking the time with us today. >> Thanks John, always appreciate talking to you. >> Okay Ali Ghodsi, CEO of Data bricks, a success story that proves the validation of cloud scale, open and create value, values the new lock-in. So Natalie, back to you for continuing coverage. >> That was a terrific interview John, but I'd love to get Dave's insights first. What were your takeaways, Dave? >> Well, if we have more time I'll tell you how Data bricks got to where they are today, but I'll say this, the most important thing to me that Allie said was he conveyed a very clear understanding of what data companies are outright and are getting ready. Talked about four things. There's not one data team, there's many data teams. And he talked about data is decentralized, and data has to have context and that context lives in the business. He said, look, think about it. The way that the data companies would get it right, they get data in teams and sales and marketing and finance and engineering. They all have their own data and data teams. And he referred to that as a data mesh. That's a term that is your mock, the Gany coined and the warehouse of the data lake it's merely a node in that global message. It meshes discoverable, he talked about federated governance, and Data bricks, they're breaking the model of shoving everything into a single repository and trying to make that the so-called single version of the truth. Rather what they're doing, which is right on is putting data in the hands of the business owners. And that's how true data companies do. And the last thing you talked about with sky computing, which I loved, it's that future layer, we talked about multi-cloud a lot that abstracts the underlying complexity of the technical details of the cloud and creates additional value on top. I always say that the cloud players like Amazon have given the gift to the world of 100 billion dollars a year they spend in CapEx. Thank you. Now we're going to innovate on top of it. Yeah. And I think the refactoring... >> Hope by John. >> That was great insight and I totally agree. The refactoring piece too was key, he brought that home. But to me, I think Data bricks that Ali shared there and why he's been open and sharing a lot of his insights and the community. But what he's not saying, cause he's humble and polite is they cracked the code on the enterprise, Dave. And to Dave's points exactly reason why they did it, they saw an opportunity to make it easier, at that time had dupe was the rage, and they just made it easier. They was smart, they made good bets, they had a good formula and they cracked the code with the enterprise. They brought it in and they brought value. And see that's the key to the cloud as Dave pointed out. You get replatform with the cloud, then you refactor. And I think he pointed out the multi-cloud and that really kind of teases out the whole future and landscape, which is essentially distributed computing. And I think, you know, companies are starting to figure that out with hybrid and this on premises and now super edge I call it, with 5G coming. So it's just pretty incredible. >> Yeah. Data bricks, IPO is coming and people should know. I mean, what everybody, they created spark as you know John and everybody thought they were going to do is mimic red hat and sell subscriptions and support. They didn't, they developed a managed service and they embedded AI tools to simplify data science. So to your point, enterprises could buy instead of build, we know this. Enterprises will spend money to make things simpler. They don't have the resources, and so this was what they got right was really embedding that, making a building a managed service, not mimicking the kind of the red hat model, but actually creating a new value layer there. And that's big part of their success. >> If I could just add one thing Natalie to that Dave saying is really right on. And as an enterprise buyer, if we go the other side of the equation, it used to be that you had to be a known company, get PR, you fill out RFPs, you had to meet all the speeds. It's like going to the airport and get a swab test, and get a COVID test and all kinds of mechanisms to like block you and filter you. Most of the biggest success stories that have created the most value for enterprises have been the companies that nobody's understood. And Andy Jazz's famous quote of, you know, being misunderstood is actually a good thing. Data bricks was very misunderstood at the beginning and no one kind of knew who they were but they did it right. And so the enterprise buyers out there, don't be afraid to test the startups because you know the next Data bricks is out there. And I think that's where I see the psychology changing from the old IT buyers, Dave. It's like, okay, let's let's test this company. And there's plenty of ways to do that. He illuminated those premium, small pilots, you don't need to go on these big things. So I think that is going to be a shift in how companies going to evaluate startups. >> Yeah. Think about it this way. Why should the large banks and insurance companies and big manufacturers and pharma companies, governments, why should they burn resources managing containers and figuring out data science tools if they can just tap into solutions like Data bricks which is an AI platform in the cloud and let the experts manage all that stuff. Think about how much money in time that saves enterprises. >> Yeah, I mean, we've got 15 companies here we're showcasing this batch and this season if you call it. That episode we are going to call it? They're awesome. Right? And the next 15 will be the same. And these companies could be the next billion dollar revenue generator because the cloud enables that day. I think that's the exciting part. >> Well thank you both so much for these insights. Really appreciate it. AWS startup showcase highlights the innovation that helps startups succeed. And no one knows that better than our very next guest, Jeff Barr. Welcome to the show and I will send this interview now to Dave and John and see you just in the bit. >> Okay, hey Jeff, great to see you. Thanks for coming on again. >> Great to be back. >> So this is a regular community segment with Jeff Barr who's a legend in the industry. Everyone knows your name. Everyone knows that. Congratulations on your recent blog posts we have reading. Tons of news, I want to get your update because 5G has been all over the news, mobile world congress is right around the corner. I know Bill Vass was a keynote out there, virtual keynote. There's a lot of Amazon discussion around the edge with wavelength. Specifically, this is the outpost piece. And I know there is news I want to get to, but the top of mind is there's massive Amazon expansion and the cloud is going to the edge, it's here. What's up with wavelength. Take us through the, I call it the power edge, the super edge. >> Well, I'm really excited about this mostly because it gives a lot more choice and flexibility and options to our customers. This idea that with wavelength we announced quite some time ago, at least quite some time ago if we think in cloud years. We announced that we would be working with 5G providers all over the world to basically put AWS in the telecom providers data centers or telecom centers, so that as their customers build apps, that those apps would take advantage of the low latency, the high bandwidth, the reliability of 5G, be able to get to some compute and storage services that are incredibly close geographically and latency wise to the compute and storage that is just going to give customers this new power and say, well, what are the cool things we can build? >> Do you see any correlation between wavelength and some of the early Amazon services? Because to me, my gut feels like there's so much headroom there. I mean, I was just riffing on the notion of low latency packets. I mean, just think about the applications, gaming and VR, and metaverse kind of cool stuff like that where having the edge be that how much power there. It just feels like a new, it feels like a new AWS. I mean, what's your take? You've seen the evolutions and the growth of a lot of the key services. Like EC2 and SA3. >> So welcome to my life. And so to me, the way I always think about this is it's like when I go to a home improvement store and I wander through the aisles and I often wonder through with no particular thing that I actually need, but I just go there and say, wow, they've got this and they've got this, they've got this other interesting thing. And I just let my creativity run wild. And instead of trying to solve a problem, I'm saying, well, if I had these different parts, well, what could I actually build with them? And I really think that this breadth of different services and locations and options and communication technologies. I suspect a lot of our customers and customers to be and are in this the same mode where they're saying, I've got all this awesomeness at my fingertips, what might I be able to do with it? >> He reminds me when Fry's was around in Palo Alto, that store is no longer here but it used to be back in the day when it was good. It was you go in and just kind of spend hours and then next thing you know, you built a compute. Like what, I didn't come in here, whether it gets some cables. Now I got a motherboard. >> I clearly remember Fry's and before that there was the weird stuff warehouse was another really cool place to hang out if you remember that. >> Yeah I do. >> I wonder if I could jump in and you guys talking about the edge and Jeff I wanted to ask you about something that is, I think people are starting to really understand and appreciate what you did with the entrepreneur acquisition, what you do with nitro and graviton, and really driving costs down, driving performance up. I mean, there's like a compute Renaissance. And I wonder if you could talk about the importance of that at the edge, because it's got to be low power, it has to be low cost. You got to be doing processing at the edge. What's your take on how that's evolving? >> Certainly so you're totally right that we started working with and then ultimately acquired Annapurna labs in Israel a couple of years ago. I've worked directly with those folks and it's really awesome to see what they've been able to do. Just really saying, let's look at all of these different aspects of building the cloud that were once effectively kind of somewhat software intensive and say, where does it make sense to actually design build fabricate, deploy custom Silicon? So from putting up the system to doing all kinds of additional kinds of security checks, to running local IO devices, running the NBME as fast as possible to support the EBS. Each of those things has been a contributing factor to not just the power of the hardware itself, but what I'm seeing and have seen for the last probably two or three years at this point is the pace of innovation on instance types just continues to get faster and faster. And it's not just cranking out new instance types because we can, it's because our awesomely diverse base of customers keeps coming to us and saying, well, we're happy with what we have so far, but here's this really interesting new use case. And we needed a different ratio of memory to CPU, or we need more cores based on the amount of memory, or we needed a lot of IO bandwidth. And having that nitro as the base lets us really, I don't want to say plug and play, cause I haven't actually built this myself, but it seems like they can actually put the different elements together, very very quickly and then come up with new instance types that just our customers say, yeah, that's exactly what I asked for and be able to just do this entire range of from like micro and nano sized all the way up to incredibly large with incredible just to me like, when we talk about terabytes of memory that are just like actually just RAM memory. It's like, that's just an inconceivably large number by the standards of where I started out in my career. So it's all putting this power in customer hands. >> You used the term plug and play, but it does give you that nitro gives you that optionality. And then other thing that to me is really exciting is the way in which ISVs are writing to whatever's underneath. So you're making that, you know, transparent to the users so I can choose as a customer, the best price performance for my workload and that that's just going to grow that ISV portfolio. >> I think it's really important to be accurate and detailed and as thorough as possible as we launch each one of these new instance types with like what kind of processor is in there and what clock speed does it run at? What kind of, you know, how much memory do we have? What are the, just the ins and outs, and is it Intel or arm or AMD based? It's such an interesting to me contrast. I can still remember back in the very very early days of back, you know, going back almost 15 years at this point and effectively everybody said, well, not everybody. A few people looked and said, yeah, we kind of get the value here. Some people said, this just sounds like a bunch of generic hardware, just kind of generic hardware in Iraq. And even back then it was something that we were very careful with to design and optimize for use cases. But this idea that is generic is so, so, so incredibly inaccurate that I think people are now getting this. And it's okay. It's fine too, not just for the cloud, but for very specific kinds of workloads and use cases. >> And you guys have announced obviously the performance improvements on a lamb** does getting faster, you got the per billing, second billings on windows and SQL server on ECE too**. So I mean, obviously everyone kind of gets that, that's been your DNA, keep making it faster, cheaper, better, easier to use. But the other area I want to get your thoughts on because this is also more on the footprint side, is that the regions and local regions. So you've got more region news, take us through the update on the expansion on the footprint of AWS because you know, a startup can come in and these 15 companies that are here, they're global with AWS, right? So this is a major benefit for customers around the world. And you know, Ali from Data bricks mentioned privacy. Everyone's a privacy company now. So the huge issue, take us through the news on the region. >> Sure, so the two most recent regions that we announced are in the UAE and in Israel. And we generally like to pre-announce these anywhere from six months to two years at a time because we do know that the customers want to start making longer term plans to where they can start thinking about where they can do their computing, where they can store their data. I think at this point we now have seven regions under construction. And, again it's all about customer trice. Sometimes it's because they have very specific reasons where for based on local laws, based on national laws, that they must compute and restore within a particular geographic area. Other times I say, well, a lot of our customers are in this part of the world. Why don't we pick a region that is as close to that part of the world as possible. And one really important thing that I always like to remind our customers of in my audience is, anything that you choose to put in a region, stays in that region unless you very explicitly take an action that says I'd like to replicate it somewhere else. So if someone says, I want to store data in the US, or I want to store it in Frankfurt, or I want to store it in Sao Paulo, or I want to store it in Tokyo or Osaka. They get to make that very specific choice. We give them a lot of tools to help copy and replicate and do cross region operations of various sorts. But at the heart, the customer gets to choose those locations. And that in the early days I think there was this weird sense that you would, you'd put things in the cloud that would just mysteriously just kind of propagate all over the world. That's never been true, and we're very very clear on that. And I just always like to reinforce that point. >> That's great stuff, Jeff. Great to have you on again as a regular update here, just for the folks watching and don't know Jeff he'd been blogging and sharing. He'd been the one man media band for Amazon it's early days. Now he's got departments, he's got peoples on doing videos. It's an immediate franchise in and of itself, but without your rough days we wouldn't have gotten all the great news we subscribe to. We watch all the blog posts. It's essentially the flow coming out of AWS which is just a tsunami of a new announcements. Always great to read, must read. Jeff, thanks for coming on, really appreciate it. That's great. >> Thank you John, great to catch up as always. >> Jeff Barr with AWS again, and follow his stuff. He's got a great audience and community. They talk back, they collaborate and they're highly engaged. So check out Jeff's blog and his social presence. All right, Natalie, back to you for more coverage. >> Terrific. Well, did you guys know that Jeff took a three week AWS road trip across 15 cities in America to meet with cloud computing enthusiasts? 5,500 miles he drove, really incredible I didn't realize that. Let's unpack that interview though. What stood out to you John? >> I think Jeff, Barr's an example of what I call direct to audience a business model. He's been doing it from the beginning and I've been following his career. I remember back in the day when Amazon was started, he was always building stuff. He's a builder, he's classic. And he's been there from the beginning. At the beginning he was just the blog and it became a huge audience. It's now morphed into, he was power blogging so hard. He has now support and he still does it now. It's basically the conduit for information coming out of Amazon. I think Jeff has single-handedly made Amazon so successful at the community developer level, and that's the startup action happened and that got them going. And I think he deserves a lot of the success for AWS. >> And Dave, how about you? What is your reaction? >> Well I think you know, and everybody knows about the cloud and back stop X** and agility, and you know, eliminating the undifferentiated, heavy lifting and all that stuff. And one of the things that's often overlooked which is why I'm excited to be part of this program is the innovation. And the innovation comes from startups, and startups start in the cloud. And so I think that that's part of the flywheel effect. You just don't see a lot of startups these days saying, okay, I'm going to do something that's outside of the cloud. There are some, but for the most part, you know, if you saw in software, you're starting in the cloud, it's so capital efficient. I think that's one thing, I've throughout my career. I've been obsessed with every part of the stack from whether it's, you know, close to the business process with the applications. And right now I'm really obsessed with the plumbing, which is why I was excited to talk about, you know, the Annapurna acquisition. Amazon bought and a part of the $350 million, it's reported, you know, maybe a little bit more, but that isn't an amazing acquisition. And the reason why that's so important is because Amazon is continuing to drive costs down, drive performance up. And in my opinion, leaving a lot of the traditional players in their dust, especially when it comes to the power and cooling. You have often overlooked things. And the other piece of the interview was that Amazon is actually getting ISVs to write to these new platforms so that you don't have to worry about there's the software run on this chip or that chip, or x86 or arm or whatever it is. It runs. And so I can choose the best price performance. And that's where people don't, they misunderstand, you always say it John, just said that people are misunderstood. I think they misunderstand, they confused, you know, the price of the cloud with the cost of the cloud. They ignore all the labor costs that are associated with that. And so, you know, there's a lot of discussion now about the cloud tax. I just think the pace is accelerating. The gap is not closing, it's widening. >> If you look at the one question I asked them about wavelength and I had a follow up there when I said, you know, we riff on it and you see, he lit up like he beam was beaming because he said something interesting. It's not that there's a problem to solve at this opportunity. And he conveyed it to like I said, walking through Fry's. But like, you go into a store and he's a builder. So he sees opportunity. And this comes back down to the Martine Casada paradox posts he wrote about do you optimize for CapEx or future revenue? And I think the tell sign is at the wavelength edge piece is going to be so creative and that's going to open up massive opportunities. I think that's the place to watch. That's the place I'm watching. And I think startups going to come out of the woodwork because that's where the action will be. And that's just Amazon at the edge, I mean, that's just cloud at the edge. I think that is going to be very effective. And his that's a little TeleSign, he kind of revealed a little bit there, a lot there with that comment. >> Well that's a to be continued conversation. >> Indeed, I would love to introduce our next guest. We actually have Soma on the line. He's the managing director at Madrona venture group. Thank you Soma very much for coming for our keynote program. >> Thank you Natalie and I'm great to be here and will have the opportunity to spend some time with you all. >> Well, you have a long to nerd history in the enterprise. How would you define the modern enterprise also known as cloud scale? >> Yeah, so I would say I have, first of all, like, you know, we've all heard this now for the last, you know, say 10 years or so. Like, software is eating the world. Okay. Put it another way, we think about like, hey, every enterprise is a software company first and foremost. Okay. And companies that truly internalize that, that truly think about that, and truly act that way are going to start up, continue running well and things that don't internalize that, and don't do that are going to be left behind sooner than later. Right. And the last few years you start off thing and not take it to the next level and talk about like, not every enterprise is not going through a digital transformation. Okay. So when you sort of think about the world from that lens. Okay. Modern enterprise has to think about like, and I am first and foremost, a technology company. I may be in the business of making a car art, you know, manufacturing paper, or like you know, manufacturing some healthcare products or what have you got out there. But technology and software is what is going to give me a unique, differentiated advantage that's going to let me do what I need to do for my customers in the best possible way [Indistinct]. So that sort of level of focus, level of execution, has to be there in a modern enterprise. The other thing is like not every modern enterprise needs to think about regular. I'm competing for talent, not anymore with my peers in my industry. I'm competing for technology talent and software talent with the top five technology companies in the world. Whether it is Amazon or Facebook or Microsoft or Google, or what have you cannot think, right? So you really have to have that mindset, and then everything flows from that. >> So I got to ask you on the enterprise side again, you've seen many ways of innovation. You've got, you know, been in the industry for many, many years. The old way was enterprises want the best proven product and the startups want that lucrative contract. Right? Yeah. And get that beach in. And it used to be, and we addressed this in our earlier keynote with Ali and how it's changing, the buyers are changing because the cloud has enabled this new kind of execution. I call it agile, call it what you want. Developers are driving modern applications, so enterprises are still, there's no, the playbooks evolving. Right? So we see that with the pandemic, people had needs, urgent needs, and they tried new stuff and it worked. The parachute opened as they say. So how do you look at this as you look at stars, you're investing in and you're coaching them. What's the playbook? What's the secret sauce of how to crack the enterprise code today. And if you're an enterprise buyer, what do I need to do? I want to be more agile. Is there a clear path? Is there's a TSA to let stuff go through faster? I mean, what is the modern playbook for buying and being a supplier? >> That's a fantastic question, John, because I think that sort of playbook is changing, even as we speak here currently. A couple of key things to understand first of all is like, you know, decision-making inside an enterprise is getting more and more de-centralized. Particularly decisions around what technology to use and what solutions to use to be able to do what people need to do. That decision making is no longer sort of, you know, all done like the CEO's office or the CTO's office kind of thing. Developers are more and more like you rightly said, like sort of the central of the workflow and the decision making process. So it'll be who both the enterprises, as well as the startups to really understand that. So what does it mean now from a startup perspective, from a startup perspective, it means like, right. In addition to thinking about like hey, not do I go create an enterprise sales post, do I sell to the enterprise like what I might have done in the past? Is that the best way of moving forward, or should I be thinking about a product led growth go to market initiative? You know, build a product that is easy to use, that made self serve really works, you know, get the developers to start using to see the value to fall in love with the product and then you think about like hey, how do I go translate that into a contract with enterprise. Right? And more and more what I call particularly, you know, startups and technology companies that are focused on the developer audience are thinking about like, you know, how do I have a bottom up go to market motion? And sometime I may sort of, you know, overlap that with the top down enterprise sales motion that we know that has been going on for many, many years or decades kind of thing. But really this product led growth bottom up a go to market motion is something that we are seeing on the rise. I would say they're going to have more than half the startup that we come across today, have that in some way shape or form. And so the enterprise also needs to understand this, the CIO or the CTO needs to know that like hey, I'm not decision-making is getting de-centralized. I need to empower my engineers and my engineering managers and my engineering leaders to be able to make the right decision and trust them. I'm going to give them some guard rails so that I don't find myself in a soup, you know, sometime down the road. But once I give them the guard rails, I'm going to enable people to make the decisions. People who are closer to the problem, to make the right decision. >> Well Soma, what are some of the ways that startups can accelerate their enterprise penetration? >> I think that's another good question. First of all, you need to think about like, Hey, what are enterprises wanting to rec? Okay. If you start off take like two steps back and think about what the enterprise is really think about it going. I'm a software company, but I'm really manufacturing paper. What do I do? Right? The core thing that most enterprises care about is like, hey, how do I better engage with my customers? How do I better serve my customers? And how do I do it in the most optimal way? At the end of the day that's what like most enterprises really care about. So startups need to understand, what are the problems that the enterprise is trying to solve? What kind of tools and platform technologies and infrastructure support, and, you know, everything else that they need to be able to do what they need to do and what only they can do in the most optimal way. Right? So to the extent you are providing either a tool or platform or some technology that is going to enable your enterprise to make progress on what they want to do, you're going to get more traction within the enterprise. In other words, stop thinking about technology, and start thinking about the customer problem that they want to solve. And the more you anchor your company, and more you anchor your conversation with the customer around that, the more the enterprise is going to get excited about wanting to work with you. >> So I got to ask you on the enterprise and developer equation because CSOs and CXOs, depending who you talk to have that same answer. Oh yeah. In the 90's and 2000's, we kind of didn't, we throttled down, we were using the legacy developer tools and cloud came and then we had to rebuild and we didn't really know what to do. So you seeing a shift, and this is kind of been going on for at least the past five to eight years, a lot more developers being hired yet. I mean, at FinTech is clearly a vertical, they always had developers and everyone had developers, but there's a fast ramp up of developers now and the role of open source has changed. Just looking at the participation. They're not just consuming open source, open source is part of the business model for mainstream enterprises. How is this, first of all, do you agree? And if so, how has this changed the course of an enterprise human resource selection? How they're organized? What's your vision on that? >> Yeah. So as I mentioned earlier, John, in my mind the first thing is, and this sort of, you know, like you said financial services has always been sort of hiring people [Indistinct]. And this is like five-year old story. So bear with me I'll tell you the firewall story and then come to I was trying to, the cloud CIO or the Goldman Sachs. Okay. And this is five years ago when people were still like, hey, is this cloud thing real and now is cloud going to take over the world? You know, am I really ready to put my data in the cloud? So there are a lot of questions and conversations can affect. The CIO of Goldman Sachs told me two things that I remember to this day. One is, hey, we've got a internal edict. That we made a decision that in the next five years, everything in Goldman Sachs is going to be on the public law. And I literally jumped out of the chair and I said like now are you going to get there? And then he laughed and said like now it really doesn't matter whether we get there or not. We want to set the tone, set the direction for the organization that hey, public cloud is here. Public cloud is there. And we need to like, you know, move as fast as we realistically can and think about all the financial regulations and security and privacy. And all these things that we care about deeply. But given all of that, the world is going towards public load and we better be on the leading edge as opposed to the lagging edge. And the second thing he said, like we're talking about like hey, how are you hiring, you know, engineers at Goldman Sachs Canada? And he said like in hey, I sort of, my team goes out to the top 20 schools in the US. And the people we really compete with are, and he was saying this, Hey, we don't compete with JP Morgan or Morgan Stanley, or pick any of your favorite financial institutions. We really think about like, hey, we want to get the best talent into Goldman Sachs out of these schools. And we really compete head to head with Google. We compete head to head with Microsoft. We compete head to head with Facebook. And we know that the caliber of people that we want to get is no different than what these companies want. If you want to continue being a successful, leading it, you know, financial services player. That sort of tells you what's going on. You also talked a little bit about like hey, open source is here to stay. What does that really mean kind of thing. In my mind like now, you can tell me that I can have from given my pedigree at Microsoft, I can tell you that we were the first embraces of open source in this world. So I'll say that right off the bat. But having said that we did in our turn around and said like, hey, this open source is real, this open source is going to be great. How can we embrace and how can we participate? And you fast forward to today, like in a Microsoft is probably as good as open source as probably any other large company I would say. Right? Including like the work that the company has done in terms of acquiring GitHub and letting it stay true to its original promise of open source and community can I think, right? I think Microsoft has come a long way kind of thing. But the thing that like in all these enterprises need to think about is you want your developers to have access to the latest and greatest tools. To the latest and greatest that the software can provide. And you really don't want your engineers to be reinventing the wheel all the time. So there is something available in the open source world. Go ahead, please set up, think about whether that makes sense for you to use it. And likewise, if you think that is something you can contribute to the open source work, go ahead and do that. So it's really a two way somebody Arctic relationship that enterprises need to have, and they need to enable their developers to want to have that symbiotic relationship. >> Soma, fantastic insights. Thank you so much for joining our keynote program. >> Thank you Natalie and thank you John. It was always fun to chat with you guys. Thank you. >> Thank you. >> John we would love to get your quick insight on that. >> Well I think first of all, he's a prolific investor the great from Madrona venture partners, which is well known in the tech circles. They're in Seattle, which is in the hub of I call cloud city. You've got Amazon and Microsoft there. He'd been at Microsoft and he knows the developer ecosystem. And reason why I like his perspective is that he understands the value of having developers as a core competency in Microsoft. That's their DNA. You look at Microsoft, their number one thing from day one besides software was developers. That was their army, the thousand centurions that one won everything for them. That has shifted. And he brought up open source, and .net and how they've embraced Linux, but something that tele before he became CEO, we interviewed him in the cube at an Xcel partners event at Stanford. He was open before he was CEO. He was talking about opening up. They opened up a lot of their open source infrastructure projects to the open compute foundation early. So they had already had that going and at that price, since that time, the stock price of Microsoft has skyrocketed because as Ali said, open always wins. And I think that is what you see here, and as an investor now he's picking in startups and investing in them. He's got to read the tea leaves. He's got to be in the right side of history. So he brings a great perspective because he sees the old way and he understands the new way. That is the key for success we've seen in the enterprise and with the startups. The people who get the future, and can create the value are going to win. >> Yeah, really excellent point. And just really quickly. What do you think were some of our greatest hits on this hour of programming? >> Well first of all I'm really impressed that Ali took the time to come join us because I know he's super busy. I think they're at a $28 billion valuation now they're pushing a billion dollars in revenue, gap revenue. And again, just a few short years ago, they had zero software revenue. So of these 15 companies we're showcasing today, you know, there's a next Data bricks in there. They're all going to be successful. They already are successful. And they're all on this rocket ship trajectory. Ali is smart, he's also got the advantage of being part of that Berkeley community which they're early on a lot of things now. Being early means you're wrong a lot, but you're also right, and you're right big. So Berkeley and Stanford obviously big areas here in the bay area as research. He is smart, He's got a great team and he's really open. So having him share his best practices, I thought that was a great highlight. Of course, Jeff Barr highlighting some of the insights that he brings and honestly having a perspective of a VC. And we're going to have Peter Wagner from wing VC who's a classic enterprise investors, super smart. So he'll add some insight. Of course, one of the community session, whenever our influencers coming on, it's our beat coming on at the end, as well as Katie Drucker. Another Madrona person is going to talk about growth hacking, growth strategies, but yeah, sights Raleigh coming on. >> Terrific, well thank you so much for those insights and thank you to everyone who is watching the first hour of our live coverage of the AWS startup showcase for myself, Natalie Ehrlich, John, for your and Dave Vellante we want to thank you very much for watching and do stay tuned for more amazing content, as well as a special live segment that John Furrier is going to be hosting. It takes place at 12:30 PM Pacific time, and it's called cracking the code, lessons learned on how enterprise buyers evaluate new startups. Don't go anywhere.

(upbeat music) >> Hello and welcome to the Cube Studios in Palo Alto California, for another Cube conversation. Where we go in-depth with thought leaders driving innovation across the tech industry. I'm your host Peter Burris. Every Enterprise is saddled with the challenge of how to get more value out of their data. While at the same time trying to find new ways of associating value with product or value with service and to work with the different technology suppliers to create an optimal relationship for how they can move their business forward within a data-driven world. It's a tall order but 2020 is going to feature an enormous amount of progress and how enterprises think about how to handle the people, process and technology of improving their overall stance towards getting value out of their data. So to have that conversation today, we're joined by a Guy Churchward, who's the CEO of Datera. Guy welcome back to the cube. >> Thank You Peter, I appreciate it. >> So before we go any further give us a quick update what's going on with Datera? >> We're doing pretty well. I mean this year's we're just going to close it off. So we're in Q4 right at the end of it. You mentioned data-driven, you know I mean that was obviously one of my key excitements, years ago we kind of moved from a hardware resiliency or Hardware-driven to software resiliency, Software defined and I do think that we've hit that data-defined, data-driven infrastructure right now. I've been in the CEO role now just about a year. I've been on the board since August of a year and change ago and part of it is we had a little bit of an impedance mismatch of message, technology and basically I go to market. So the team quite brilliantly produced this data services platform to do data driven architectures. >> Mmmh. >> But customers don't wake up every morning and go, I need to go buy a data-driven, how do I buy one? And so when I came in I realized that you know what they had was an exceptional solution but the market isn't ready yet for that thought process, and what they were really buying still was SDS, software defined storage. >> So it almost in a connect way. so I'm going to buy an SDS and connect it to something and get a little bit of flexibility over here but still worry about the lock in every where else. >> Yeah, exactly and in fact even on the SDS side. What they weren't looking for is bring your own server storage. What they were looking for was automation and they were looking to basically break out and have more data mobility and data freedom. And so that was good and then the second one was our technology really sells directly to enterprises, directly to large scale organizations and it's very difficult as a start-up, small company to basically be able to punch straight into a global account, you know. Because they'll sit back and say, well you know would you trust your family jewels to a company that's got 40 employees in Silicon Valley. >> Right. >> And so what you really have is this and get the message right and then make sure you have to flow through to the customer credibility right and we were fortunate to land a very strategic relationship with HP. And so that was our focus point. Right. So we basically got on board with HP, got into their complete program, started selling very closely to them of which their sales team has been marvelous and then we're just finishing that that year. The good news is and you know I'll give you a spoiler I care about Billings, you know I mean we actually move from an appliance business to a software business exclusively, and so we basically sell term agreement. So if you think about it from a bookings perspective, that's important but basically how much you bill out is more important. From a Billings perspective I think we're going to run roughly 350% up year-over-year. >> Ooh. >> Yeah which is kind of good. Right I mean in other words it was a bit of a pat on the back that seems very happy with that and then even from new account acquisitions if I count the amount of accounts that we bought in this year and to date, entirely since 2013 we've only had one customer churn, so all the customers are coming with us but if I count this year, if I look at 16 17 and 18 we've actually bought more customers on board in 19 than all three pulled together. So we're actually finishing a very very strong year. >> Congratulations. Now if we think about going into 2020 you're closing this quarter, but every startup has to have a notion of what's going to happen next and what role you're going to play. And what happens next. So if I look back I I see the enterprise starting to assert themselves in the cloud businesses. That's having an effect on on everybody. But it really becomes concrete you know, the rubber really meets the road at the level of data. So as you start to grow you're talking more customers, as you talk to more customers and they expressed what they need out of this new cloud oriented world, what kinds of problems are they bringing to the table as far as you're concerned? >> Yeah, I mean they initially come to us so what I would say is every account that we've run we've replaced traditional arrays storage arrays and every account we've run, we've actually competed against SDS vendors and whether that's something like Dells, VxFlex or even vSAN, VMware's vSAN and which are probably the two most well-known ones. A lot of cases I mean we actually have 100% win rate against that in these competitive situations, but interestingly most customers now are putting dual source in place. So in fact the reason that we've ridden pretty quickly and we've run lots of deals, isn't because we're going in and saying VxFlex is failing or vSAN is failing, but they want something extra, they want automation, they want desegregation, they want scale >> They want second source. In many respects of sales is, it's succeeding but you have to push a little bit harder and that is ease most easily done by bringing in another platform with crucial functionality... >> Yeah >> ...and a second source. >> And I think you're on the money there Peter because if I look at second source in the traditional array business, no CIO worth their soul is a single source vendor so they they will have Dell and they'll have HP or they'll have HP and they'll have Pure, doesn't matter and and even on HCI you'll see the HCI vendors, Nutanix is doing very well, so is Dell. So therefore they'll have that from second source if its critical. So if an environment is critical they always have a second source and so even now when you look into software-defined, this market in 2019 was very much like the, let's get the second source in place. And that shows you where we are on the maturity curve because people is basically moving on this en mass. Now that's 2019 you're asking about 20, 21, 22 moving forward. The reason that the traditional arrays weren't working for them is whether it's flexibility or it's basically management costs or maintenance, but it's data freedom. It's what they're really looking for. You know, what is a data center? Is it on-premise, is it cloud? It's definitely cloud but the question is is it on-premise cloud? Is it hybrid cloud, is it public cloud? And then you mention edge. You know we actually find customers who are looking and are saying look, the most important thing for us is being data-driven and what data-driven basically articulates is we get data in, we analyze it, we make decisions on it and we win and lose against our competition as fast as we can be accurate on that data set. And a lot of the decisions are getting made at the edge. So a lot of people are looking at saying my data center is actually at the edge, it's not in the center in the cloud, right. >> Well in many respects, it's for the first time a data center actually is what it says it is, right. Because the data center used to be where the hardware was and now increasingly enterprises are realizing that the services and the capabilities have to be where the data is. >> Yeah. >> Where the data is being produced, where the data is being utilized and certainly where the data, where decisions are being made about what to keep what not to keep, how much of it etc, and that that does start to drive forward an increased recognition that at some point in time we are going to talk more about the services that these platforms, or these devices or these software-defined environments provide. Have I got that right? >> Yeah, yeah you have and even if you look at that, you know ... what the AI/ML, you know I mean if I if I kind of step back and I look at what a customer's trying to do which is to utilize as much data as possible, in a way that they have data freedom that allows them to make decisions and that's really where AI and machine learning comes in. Right you know everybody employs that. I recently bought a camera, shockingly inside the camera it's got ML functionality into it, it's got AI built into it, my new photo editing software on my iPad is actually an ML-based system. They don't do it because it's a buzz word, they do it because basically they can get a much higher level of accuracy and then use data for enrichment, right. And then in the ML track, the classic route was I'm going to create a data lake, right. So I got my data lake and I've got everything in it then I'm going to analyze off the back of it. But everybody was analyzing once it's in the data lake. And what they've realized is to compete, they actually have to analyze much quicker. >> Right. >> And that's at the edge, and that's in real-time and that string based. And so that's really where people are sort of saying I can't ... I'm not going to have any long pole in my technology tent. I'm not going to have anything slow me down, I have to beat my competition and as part of that they need complete fluidity on their data. So I don't care whether it's at the edge or it's in the center or in the cloud, I need instant access to it for enrichment purposes and to make fast and accurate decisions. So they don't want data silos. You know, so any product out there that basically says me me me me give me my data and therefore I'm going to encrypt in such a ways you can't read it and it's not available to anybody else. They are just trying to eradicate that. And and we've sort of moved. It's a weird way of putting it but we've moved from hardware-defined to software-defined and I think we've moved into this data-defined era. But at the same time, it's the most stupid thing for me to say, because we've never not been in a data-defined era. But it's the way in which people think with their architecture as they sign up a data center now or a cloud and they're not saying, hey so about the hardware, it's based on that or it's the software. It's always going to be about the data. The access to the data, however before you get excited. (laughs) The thing that I kind of look at I say so what has fundamentally changed? And it's the fact that we always used to have to make a decision. You know, I ran a security analytics business and when you do things like log management, it's about collecting as much as data so in other words accuracy beats speed. And then security event management is speed beats accuracy. Because you can't ask questions of the same data. But technology is caught up now. So we've actually moved from the do you want accuracy? Or do you want speed? It's like "or arena". So people were building architectures in this "or" world, you know. Do you want software-defined? If you want software-defined you can't have Enterprisilities. Why not? Well, if you want an enterprise application, I mean remember the age-old adage. You should never buy a version 1.0 of an app. >> Right. But what happens is they want they want this ... people are turning around saying I need an enterprise application, I want full data access to the back of it, I actually need it to be fluid, I need it Software-defined, I don't know where it's going to be based and I don't want to do forklift upgrades. I want and and and and and. Not or, so what we've actually moved to is a software-defined era you know, and a data-defined architecture in an "and arena". And where customers are truly winning and where they're going to beat their competition, is where they don't settle and say oh I remember back two years ago, this happened and therefore we should learn from that, and we shouldn't do that. They're actually just breaking through and saying I'm going to fire the application up I want it up and running within 30 days, I want it to be an enterprise application, I need it to be flexible, I needed to have a hype of scale and then I'm going to break it down and by the way I'm not going to pay contractually to an organization to build all that infrastructure. And that's really why soup to nuts, as we move forward not only they sort of building an infrastructure is data-defined infrastructure, they don't want lock-in. They want optionality and that means they want term licenses which is sure, they don't want these proprietary silos and they need data flexibility on the back of it. And those are the progressive customers, and by the way I've not had to convince a single customer to move to software-defined or data-defined. Every client knows they're going there, the question on the journey is, how fast they want to get. >> Right, when? >> Yeah. >> So if so look every single every single enterprise, every single business person takes a look at what are regarded as the most valuable assets and then they hire people to take care of those assets, to get value out of those assets, to maintain those assets, and when we move from a hardware world where the most valuable asset is hardware that leads to one organization, one set of processes, one set of activities. Move into a software world to get the same thing. But we agree with you, we think that we are moving to a world that is data first, where data is increasingly going to be the primary citizen and as a consequence we're seeing firms reinstitutionalize how work is done, redefine the type of people they have, alter their sourcing arrangements, I mean there's an enormous amount of change happening because data is now becoming the primary citizen. So how is Datera going to help accelerate that in 2020? >> Yeah I mean and again that's part of data access. And then also part of data scale. Back probably six seven eight years ago. EMC we were even I remember Steve Manley is a good buddy of mine, we went on stage and we talked about bringing sexy back to back up. We were trying to move away from backup admins just being backup admins to backup admins actually morphing their job into being AI/ML. You know, I remember a big client of mine, and it wasn't in the EMC days, it was before that were basically saying they have to educate their IT staff, they want to bring them up as they move forward. In other words, you can't ... what you don't want is you don't want your team, because it all comes down to people. You don't want them stuck in an area to say we can't innovate forward because we can't get you away from this product, right. So one of our customers at Datera is a SaaS vendor. And their challenge is they had traditional array business even though it was in a SaaS model, it was basically hardware in the background and they would buy instances and they found that their HR cost, their headcount cost was scaling, >> With the hardware. >> Exactly, and and they were looking at and going, what does that do to my business? It does one or two things, either one is it means that cost I mean do I bear that I don't make profitability and I can't drive my business or do I lay that on my customers and then the cost goes up and therefore I'm actually not a cloud scale. And I can't hire all the people I need to hire into it. So they really needed to move to a point of saying how do I get to hyper scale? How do I drive the automation that allows me to basically take staff and do what they need to do. And so our thing isn't removing staff, it's actually taking the work that you have and the people and put them in a way they really matter. So in other words if you think about the old days of I'm going to mess this up but, I talked to somebody recently about what IT stands for. And they said IT should stand for information technology, right. I mean that's really what it is. But, but you know for the last 20 years it stood for infrastructure technology? >> Yeah. >> And that's frustrating, because in essence we got way too many people managing a lot of crap. And what they really should be doing is focusing on what makes the business happen. >> Yeah. >> And for instance I like to run a business by money in and money out, everybody else does and then you look at it and you say well, how do I get more money coming in? By being smarter and quicker than somebody else. How do I do that? By data analytics. Where do I want to put my work? Well I want to put it into the ML/AI and I want more analysts to work on it. I want my IT staff to do that. Let's move them into that. I don't want them you know rooms and reams of people trying to make it you know manage arrays that don't function the way they should or... >> One more percent out of that array of productivity. >> Yeah, abnormally trying to scale HCI solutions to a hyper scale that actually is impossible for them to do it. >> Right. >> You know and and that was the thing that really what Mark, who was the founder of Datera and the team really did is they looked at it from a cloud perspective and said it's got to be easier than this. There must be a way of doing low lights-out automation on storage. And that's why I was saying when I took over, I kind of did the company an injustice by calling it an SDS Tier 1 vendor. But in reality that was what customers could assume. And we're basically a data services platform that allows them to scale and then if you hop forward you go how do you open up the platform? How do you become data movement? How do you handle multi-cloud? How do you make sure that they don't have this issue? And the policies that they put in place and the way in which they've innovated, it allows that open and flexible choice. So for me, one is you get the scale, two you don't have forklift upgrade three is you don't have human capital cost on every decision you make, and it actually fits in in a very fluid way. And so even though customers move to us and buy us as a second source for SDS, once they've got the power of this thing they realize actually now they've got a data service platform and they start then layering in other policies and other systems and what we've seen is then a good uptick of us being seen as a strategic part of their data movement infrastructure. >> You expand. >> Exactly. >> Guy Churchward, CEO of Datera, thanks again for being on the Cube. >> My pleasure. Thank you Peter. >> And thank you for joining us for another CUBEConversation. I'm Peter Burris, see you next time. (upbeat music)

but cute at servicenow knowledge 14 is sponsored by service now here are your hosts Dave vellante and Jeff trick okay we're back this is Dave vellante with Jeff Frick were here live at moscone south and this is the knowledge 14 conference 6600 people here growing was about 4,000 last year you seen this conference grow and about the same pace as a services service now stop line they're growing at sixty percent plus on pace to do over 600 million in revenue this year on pace to be a billion-dollar company and we have the CFO here Mike Scarpelli cube alum Mike great to see you again thank you so this is amazing I mean Moscone is a great venue of the aria last year's kind of intimate you know and now you're really sort of blowing it out I would expect next year you're going to be in the into the big time of conferences well I got a budget for that Tiffany I'm a budget I know it's going to cost more just like the attendance is going up fifty sixty percent the costs are going up as well too but our partners are really important and our partners offset a lot of those costs will get over eight million in sponsorship revenue to offset that so when we expect next year will see a corresponding increase in the sponsorship revenue as well well it's impressive you have a lot of strong partners particularly the system integrator consultancy types you know we saw I hope it will miss somebody definitely saw sent you there last night we start Ernie young giving a presentation k p.m. ET le is about so cloud sherpas yeah the cloud shippers and so we had them on earlier she have a lot of these facilitators which is a great sign for you and they're realizing okay there's there's money to be made around the ServiceNow ecosystem helping customers implement so that's going to make you really happy no you know one of the things that's really important for us with the system integrators is today they haven't really brought us any deals but they've been very influential in accelerating deals and we think that theme is going to continue and based upon what they're seeing they're able to do in the ServiceNow ecosystem in terms of professional service consulting engagement we think that's going to start to motivate them to now bring us into deals that we were never in before but what they have been able to do as well besides just accelerate is have the deals grow beyond IT and we see that numerous on global 2000 accounts for us and you're not trying to land grab the professional services business that's clear effect when you talk to some of your customers when I've ever last year when your customer scoop is complaining that your your price is real high on the surface of suck which it probably makes you happy because it leaves more room for you for your partners and that's really not a long-term piece of your revenue II think you've said publicly you want to be less than fifteen percent of your business right yes yes we have a little bit of a ongoing debate internally my preference is not to see the professional service organization grow in terms of headcount with the pure implementation people the area that I would like to see it grow is more on the training side unfortunately some of our customers they insist that we are part of the professional service engagement so those are more the ones that we're going to be involved and if a customer is looking for a lower-cost alternative we want to make it fair for our partner so that we're not competing with them so they can come up with a lower price to offer a good quality service is important though that it's not going for the lowest price our partners need to make investment so it can be a quality implementations this is a number of early implementations that were done by partners that were some of our smaller partners where they really didn't meet the the expectations of those customers that we've had to go in and fix some of those engagements so the number one goal for our professional service is to ensure we have happy customers because happy customers renew and buy more which are two of the key drivers for our growth so you keep growing like crazy blew it out last quarter to get a 181 million in Billings revenues up 60-plus percent you're throwing off cash hitting all your metrics of course the stock went down oh there you go not much more you could do but you got to really be pleased with the consistent performance and really predictability it seems of the company yeah no I'm since I've been the CFO company it's going to be coming on three years suit in the summer the one thing that I will say about this business model is it's extremely predictable in terms of the the forecasting and what helps with that is the fact that we have such high renewal rates that really helps because we really since I've been here we've never lost any major accounts I think our renewal rate has been averaging north of ninety-five percent and in terms of our upsells or up sells have been very consistent on average they run about a third of our business every quarter and that was Frank has made comments before too that if we don't sign on another customer we can still grow twenty-five percent per year plus just based upon the upsell business opportunity that we have within our existing installed base of customers that's penetrating accounts deeper more seats more licenses more processes and applications yeah the main grower of our upsells are the main contributor to our upsells within our customers really has been additional seat licenses because many of our customers we still have even fully penetrated IT and as we roll out more applications or make our applications more feature-rich as we talked about as Frank his keynote he talked a little bit today aitee costing we've always had that as an application but that's going to be coming out as a much more feature-rich application it's going to be a lot more usable to some of our customers when that goes live that's going to drive more licenses because many times it's different people with an IT that are the process users behind that and then it's going outside of IT as well with the adoption of people enterprise service management concept that Frank's been talking about that will drive incremental users as well too we do have some additional products such as orchestration discovery with a vast majority of our growth and customers is additional licensing so very consistent performance like I say the stock pull back a little bits interesting you guys worked a Splunk tableau smoking hot stocks of all pullback obviously it's almost like you trade as a groupie even though completely different companies completely different business models you don't compete really at all but so you kind of got to be flattering to be in that yeah obviously but it's I looked at as X this is good in a way this is a healthy you know pull back it's maybe a buying opportunity for people that wanted to get in and there are a lot of folks that I'm sure they're looking at that do you I mean how much attention do you even pay for it i know most CFOs i took a say look we can't control it all we can control is you know what we can control and that's what we focus on but you even look at things like that you order your thoughts on you know and unfortunately there is a little bit of a psychology going on here with some of our employees and they're always asking and my comment to them is the only price that matters is the day you sell and this pullback that we've seen recently this is not uncommon was I expecting it to happen right now you know I don't if I if I could predict those things a lot of different line of business but what I will say history is the best indicator of the future and even a company like salesforce com one of our large investors last week he sent me an email and said you do realize that in the first five years of sales force being a public it had forgot if it was four or five fifty percent pullbacks in the stock price so this this happens it will happen I guarantee it will happen again sometime in the future but not just with us with all the other companies I'd be more concerned if it was we were the only company that traded down and everyone stayed up but we're all trading down we all came back today it's interesting and you kind of burned the shorts last year and they've made some money now but but you know Peter Lynch they don't ever short great companies and it's very hard to too short great companies your timing has to be perfect so and your core business you know like for instance a workday is is fundamentally very profitable or you know it should be right and because you're spending like crazy on sales and marketing you're expanding into into AP you're expanding your total available market and you're still throwing off cash what if you can talk about that a little bit you had said off camera your goal is to really be you know so throw off little cash basically be cash flow breakeven yes yes so you know you can only grow at a certain pace last quarter we added 150 new people into our sales and marketing organization that was the the largest number that we've ever added in one quarter we actually added 273 net new employees in q1 that was the most we've ever added in a quarter and even with all those ads we still had very good positive cash flow so it's pretty hard to add at any faster pace than what we're doing right now and so you know I just I don't see us being cashflow negative anytime in the future right now unless something happened and write it have to be a pretty major catastrophe thing and it's not going to be specific to service now it will be kind of across the board we're all CIOs stop spending and the other thing I learned here I thought maybe I just wasn't paying attention to earlier conference calls but the AP focus a large percentage of the global 2000 is in asia-pacific so you're out nation-building right I won't if he could talk about that sure so in two thousand and from March 31st 2013 till March 31st 2014 we open up in 10 new countries most of those were in asia-pacific there's still more countries we're going to be going into an asia-pacific and why are we going into these countries we're going into these countries because that's where the global 2000 accounts are that is our strategy because we focus on quality of customers not quantity of customers what I mean by quality of quality customers one that can grow over time to be a very large customer and even in 2013 we went into Italy and people said at the time well why are you going into Italy we went to Italy because they have global 2000 have 30-something global 2000 accounts even though the Italian economy wasn't doing well global 2000 customers still spend it's not specific to that country their global we signed to global 2000 counts in Italy last quarter so we have a history of showing that if we go into those countries we will be successful in winning those global 2000 and will continue there are some global 2000 so in geographies where it's going to take some time before we actually have a physical presence such as mainland China we do not have any sales people in mainland China today Russia we did not have any people in Russia today how about Ukraine you know we have no one in Ukraine today good thing about Hitler you get to go visit there that's your country I wanted to talk about the TAM yesterday last year we had I kind of watched it but but I was asking Colombo questions about the team because it was you know very interesting I saw a lot of potential want to try to understand how big it could be you and I talked about you had said its north eight billion of course the the stock took off i think it probably 10 billion from a value standpoint I didn't my own tam of mid year I did a blog post I had it up to 30 billion so I started to understand it was a top down it wasn't a bottom up but you guys are starting to sort of communicate to him a little bit differently you got had the help desk and then beyond that the IT Service Management and then you you've essentially got the operations strike the operations management and even now sort of enterprise and business management so I wonder if you could talk about how you look at the the tam and any attempts that you've made to quantify it sure so there's really four markets we play in that really intersect with one another in the core of our market is the IT Service Management that's kind of our beachhead and how we go into accounts in that market right now when historically when we went public gartner groups of the world they looked at it as a helpdesk replacement market they were saying as a 1.4 to 1.6 billion dollar market what they were missing is there's many other things in that space IT service management such as ppm such as our cmdb such as asset management a lot of these things aren't in your traditional help desk we think based upon the rate at which we've been extracting from the market that somewhere we can afford a six billion dollar market opportunity just IT Service Management and then IT Service Management is a subset of the overall enterprise service management market that Frank has been talking about we talked about in our analyst state we think that is potentially as high as 10x the size of our IT Service Management so that can get you up to say that 40 billion dollar plus and then you as well have the IT operations management space IT Service Management you just have the legacy vendors down there nothing innovative happening down there service relationship a lot of white space a lot of stuff that's being done in email lotus notes microsoft access sharepoint those are the markets were going after there really are no true systems in and that's in that space it's those one-off custom apps IT operations management there is a lot of innovation happening down that in that space it is very crowded with some new vendors as well as the legacy vendors the area that will plan might be the whole 18 billion dollar market at IDC talks about you know it's still early innings but it's at least two billion of that market 24 billion will be going after and then Frank brought up this concept of the whole business analytics as well too we talked about we did our acquisition in mirror 42 in 2013 and the business analytics kind of sits at the top of enterprise service relationship management the market we can go after in there that's a that's a whole market into itself at least as big as the enterprise service management but we're not going after that whole market it's just the business analytics to the extent it relates to enterprise service management so that's at least a couple billion more unfortunately this is what we believe there is no published reports out there and times going to is going to tell it similar to when Salesforce went public no one believed the opportunity in front of it and now look how big that come have a 30 billion dollar plus company valuations are depends on what time of year it is what the markets doing but over the long term you know you can sort of do valuation analysis it in the CFO world is there some kind of thought in terms of the ratio between an organization's tan and it's in its valuation you know I mean these other things raid obviously the leadership etc but but for the top companies there a relationship I personally don't get wrapped up in valuation you know I can't control that I can't control public company multiples the only thing we have control over is running our own business and we're going to stay very focused on running our business and let other we'll take care of the valuation good business you picked a good one yes no I I'm very pleased with this one excellent all right Mike well listen thanks very much for coming on the cube we're up against the clock and I always appreciate you thank you Dave time up alrighty bryce bravely request with our next guest we're live from tony south this is dave vellante with jeff record right back