>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum, World 2019 brought to you by the M Wear and its ecosystem partners. >> Welcome back to San Francisco. Day three of our coverage here on the Cube Of'em world 2019. I'm John Wall's Glad to have you here aboard for our continuing coverage here Day Volonte is also joining me, as is the sartorially resplendent Eric Herzog, cm of and vice president. Global storage channels that IBM storage. Eric, good to see you and love the shirt. Very >> nice. Thank you. Well, always have a wine shirts when I'm on the Cube >> I love in a long time Cuba to we might say, I'm sure he's got the record. Yeah, might pay. Well, >> you and pattern, neck and neck. We'll go to >> the vault. And well, >> since Pat used to be my boss, you know, couch out a path. >> Well, okay. Let the little show what IBM think. Maybe. Well, that's OK. Let's just start off a big picture. We're in all this, you know. Hybrid. Multilingual. This discussion went on this week. Obviously, just your thoughts about general trends and where the business is going now supposed to wear? Maybe we're 23 years ago. Well, the >> good thing is for IBM storage, and we actually came to your partner and titty wiki Bond when our new general manager, Ed Walsh, joined. And we came and we saw Dave and John at the old office are at your offices, and we did a pitch about hybrid multi cloud. Remember that gave us some feedback of how to create a new slide. So we created a slide based on Dave's input, and we were doing that two and 1/2 years ago. So we're running around telling the storage analyst Storage Press about hybrid multi cloud based on IBM storage. How weaken transparently move data, things we do with backup, Of course. An archive. You've got about 450 small and medium cloud providers. Their backup is a service engine. Is our spectrum protect? And so we talked about that. So Dave helped us craft the slide to make it better, because he said, we left a couple things >> out that Eric >> owes you. There were a few other analysts I'm sure you talked to and got input, but but us really were the first toe to combine those things in your in your marketing presentations. But >> let's I'd love to get >> an update on the business. Yes, help people understand the IBM storage organization. You guys created the storage business, you know, years and years and years ago. It's a it's a you know you've got your core business, which is column arms dealers. But there's a lot of Regent IBM, the Cloud Division. You've got the service's division, but so help us understand this sort of organizational structure. So >> the IBM story division's part of IBM Systems, which includes both the mainframe products Z and the Power Server entities. So it's a server in storage division. Um, the Easy guys in particular, have a lots of software that they sell and not just mainframe. So they have a very, very large software business, as do we. As you know, from looking at people that do the numbers, We're the second largest storage software company in the world, and the bulk of that software's not running on IBM gear. So, for example, spectrum protect will back up anyone's array spectrum scale and our IBM Cloud Object storage are sold this software only software defined as the spectrum virtualized. You could basically create a J. Bader Jabo after your favorite distributor or reseller and create your honor. Rates are software, but the all of the infrastructure would actually not be ours, not branded by us. And you call us for tech support for the software side. But if you had a bad power supplier fan, you'd have to call, you know, the reseller distributor said this very robust storage software business. Obviously you make sure that was compatible with the other server elements of IBM systems. But the bulk of our storage is actually sitting connect to some server that doesn't have an IBM logo on it. So that's the bulk of our business connected to Intel servers of all types that used to include, of course, IBM Intel Server division, which was sold off to Lenovo. So we still have a very robust business in the array space that has nothing to do with working on a power machine are working on a Z machine, although we clearly worked very heavily with them and have a number of things going with him, including something that's coming very shortly in the middle of September on some new high end products that we're going to dio >> went 90 Sea Counts All this stuff. Do they >> count to give IBM credit for all the storage that lives inside of the IBM Cloud? Do you get you get credit for that or >> not get credit for that? So when they count our number, it's only the systems that we sell and the storage software that we sell. So if you look at if we were a standalone company, which would include support service made everything, some of which we don't get credit for, right, the support and service is a different entity at IBM that does that, UM, the service's group, the tech support that all goes to someone else. We don't have a new credit >> so hypothetical I don't I don't think this is the case, but let's say hypothetically, if pure storage sold an array into IBM Cloud, they would get credit for it. But if you're array and I'm sure this happens is inside of the IBM, you don't get credit for it. >> That's true interesting, so it's somewhat undercounts. Part of that is the >> way we internally count because we're selling it to ourselves. >> But that's it. >> It's not. It's more of an accounting thing, but it's different when we sell the anybody else. So, for example, we sell the hundreds of cloud providers who in theory compete with the IBM Cloud Division >> to you Get credit for that. You get credit for your own away. That's way work. But if we were standing >> on coming for, say, government, we were Zog in store and I bought the company away, we would be about a $6.3 billion standalone storage software company. That's what we would be if we were all in because support service manes. If we were our own company with our own right legal entity, just like net app or the other guys, we'd be Stanley would be in that, you know, low $6 billion range, counting everything all in. When we do report publicly, we only report our storage system because we don't report our storage software business. And as you notice a few times, our CFO has made comments. If we did count, the storage software visit would be ex, and he's publicly stated that price at least two times. Since I've been an idea when he talks about the software on, but legally we only talk about IBM storage systems. When he publicly state our numbers out onto Wall Street, that's all >> we publicly report. So, um, you're like, you're like a walking sheet of knowledge here, but I wonder if you could take the audience through the portfolio. Oh, it's vast. How should we think about it? And the names have changed. You talk about, you know, 250 a raise, whatever it is the old sand volume control. And now it's a spectrum virtualized, >> right? So take us to the portfolio. What's the current? It's free straight for. >> We have really three elements in the portfolio, all built around, if you will, solution plays. But the three real elements in the portfolio our storage arrays, storage systems, we have entry mid range and high end, just like our competitors do. We lead with all flash, but we still sell hybrid and obviously, for backup, an archive. We still sell all hard drive right for those workloads. So and we have filed blocking object just like most other guys do, Um, for an array, then we have a business built around software, and we have two key elements. Their software defined storage, and we saw that software completely stand alone. It happens, too, by the way, be embedded on the arrays. So, for example, Dave, you mentioned Spectrum virtualized that ship's on flash systems and store wise. But if you don't want our raise, we will sell you just spectrum virtualized alone for block spectrum scale for Big Big Data A. I file Workloads and IBM caught object storage, which could all of them could be bought on an array. But they also could be bought. Itjust Standalone component. Yes, there's a software so part of the advantage we feel that delivers. It's some of the people that have software defined storage, that air raid guys. It's not the same software, so for us, it's easier for us to support and service. It's easier for a stack developing have leading it. Features is not running two different pieces of software running, one that happens to have a software on Lee version or an array embedded version. So we've got that, and then the third is around modern data protection, and that's really it. So a modern data protection portfolio built around spectrum, protect and Protect Plus and some other elements. A software to find storage where we sell the software only, and then arrays. That's it. It's really three things and not show. Now they're all kinds components underneath the hood. But what we really do is we sell. We don't really run around and talk about off last race. We talk about hybrid multi cloud. Now all of our flash raise and a lot of our software defined storage will automatically tear data out, too. Hybrid multi cloud configurations. We just So we lead with that same thing. We have one around cyber resiliency. Now, the one thing that spans the whole portfolio of cyber resiliency way have cyber rebellion see and a raise. We have some softer on the mainframe called Safeguarded Copy that creates immutable copies and has extra extra security for the management rights. You've got management control, and if you have a malware ransomware attack, you couldn't recover to these known good copies. So that's a piece of software that we sell on the mainframe on >> how much growth have you seen in that in? Because he's never reveals if you've got it resonating pervasive, right, Pervasive. So >> we've got, for example, malware and ransomware detection. Also, Inspector protect. So it's taken example. So I'm going to steal from the Cube and I'm gonna ask Dave and for you, I want a billion dollars and Dave's gonna laugh at me because he used a spectrum protect. He's gonna start laughing. But if I'm the ransomware guy, what do I do? I go after your snapshots, your replicas and your backup data sets. First, I make sure I've got those under control. And then when I tell you I'm holding you for ransom, you can't go back to a known good copy. So Ransomware goes after backup snaps and replicas first. Then it goes half your primary storage. So what we do, inspector protect, for example, is we know that at Weeki Bond and the Cube, you back up every night from 11 32 1 30 takes two hours to back you up every night. It's noon. There's tons of activity in the backup data sets. What the heck is going on? We send it out to the admin, So the admin for the Cube wicky bond takes a look and says, No server failure. So you can't be doing a lot of recovery because of a bad server. No storage failures. What the heck is going on? It could be a possible mount where ransomware attack. So that type of technology, we encrypt it, rest on all of our store to raise. We have both tape and tape and cloud air gapping. I'm gonna ask you about that. We've got both types of air gapped >> used to hate tape. Now he loves my love, right? No, I used to hate it, But now I love it because it's like the last resort, just in case. And you do air gapping when you do a WR gapping with customers, Do you kind of rotate the You know, it's like, uh, you know, the Yasser Arafat used to move every night. You sleep in a different place, right? You gonna rotate the >> weird analogy? You do >> some stuff. There's a whole strategy >> of how we outlined how you would do a tape air gap, you a cloud air gap. Of course you're replicating or snapping out to the cloud anyway, so they can't get to that. So if you have a failure, we haven't known good copy, depending on what time that is, right. And then you just recover. Cover back to that and even something simple. We have data rest, encryption. Okay. A lot of people don't use it or won't use it on storage because it's often software based, and so is permanent. Well, in our D s platform on the mainframe, we can encrypt with no performance hit on our flash system products we can encrypt with no performance it on our high end store. Wise, we have four models on the two high end stores models we could encrypt with no performance penalty. So why would you not encrypt all your debt? When there's a performance penalty, you have to sort of pick and choose. My God, I got to encrypt this valuable financial data, but, boy, I really wish it wasn't so slow with us. There is no performance it when you encrypt. So we have encryption at rest, encryption at flight malware and ran somewhere detection. We've got worm, which is important, obviously, doesn't mean I can't steal from wicked Bond Cube, but I certainly can't go change all your account numbers for all your vendors. For sake. of argument, right? So and there's obviously heavily regulated industries that still require worm technology, right? Immutable on the fine, by the way, you could always if it's wormed, you could encrypt it if you want to write. Because Worm just means it's immutable. It doesn't. It's not a different data type. It's just a mutable version of that data. >> So the cyber resiliency is interesting, and it leads me to another question I have around just are, indeed so A lot of companies in this industry do a lot of D developing next generation products. I think, you know, look a t m c when you were there, you know, this >> was a lot of there. Wasn't a ton, >> of course, are a lot of patents and stuff like that. IBM does corps are a lot of research and research facilities, brainiac scientists, I want if you could talk about how the storage division takes advantage of that, either specifically, is it relates to cyber resiliency. But generally, >> yes, so as you know, IBM has got, I think it's like 12 12 or 15 research on Lee sites that that's all they do, and everyone there is, in fact, my office had to be. Akiyama didn't labs, and there's two labs actually hear. The AMA didn't research lab and the Silicon Valley lab, which is very close about five miles away. Beautiful. Almost everything. There is research. There's a few product management guys I happen, Navid desk there every once. Well, see a sales guy or two. But essentially, they're all Richard with PhDs from the leading inverse now at Al Madden and many sites, all the divisions have their own research teams there. There's a heavy storage contingent at Al Midan as an example. Same thing in Zurich. So, for example, we just announced last week, as you know, stuff that will work with Quantum on the tape side. So you don't have to worry about because one of things, obviously, that people complain about quantum computing, whether it's us or anyone else, the quantum computing you can crack basically any encryption. Well, guess what? IBM research has developed tape that can be encrypted. So if using quantum computer, whether it be IBM or someone else's when you go with quantum computing, you can have secured data because the quantum computer can't actually cracked the encryption that we just put into that new tape that was done at IBM Research. How >> far away are we from From Quantum, actually being ableto be deployed and even minor use cases. >> Well, we've got available right now in ibm dot com for Betas. So we've got several 1000 people who have been accidents in it. And entities, we've been talking publicly in the 3 to 7 year timeframe for quantum computer crap out. Should it? Well, no, because if you do the right sort of security, you don't but the power. So if you're envisioning one of my favorite movies, I robot, right where she's doing her talking and that's that would really be quantum in all honesty. But at the same time, you know, the key thing IBM is all about ethics and all about how we do things, whether it be what we do with our diversity programs and hiring. And IBM is always, you know, at the forefront of doing and promoting ethical this and ethical. Then >> you do a customer data is huge. >> Yeah, and what we do with the customer data sets right, we do. GDP are, for example, all over the world were not required by law to do it really Only in Europe we do it everywhere. And so if you're not, if you're in California, if you happen to be in Zimbabwe or you're in Brazil, you get the same protection of GDP are even though we're not legally required to do it. And why are we doing that? Because they're always concerned about customers data, and we know they're paranoid about it. We want to make sure people feel comfortable with IBM. We do. Quantum computing will end up in that same vein. >> But you know, I don't worry about you guys. I were about the guys on the other side of the fence, the ones that I worry about, the same thing Capabilities knew that was >> on, of course. And you know, he talked about it in his speech, and he talked about action on the Cube yesterday about some of his comments on the point, and he mentioned that was based on Blockchain. What he said was Blockchain is a great technology. They've got Blockchain is no. IBM is a big believer in Blockchain. We promoted all over the place and in fact we've done all kinds of different Blockchain things we just did. One announced it last week with Australia with the Australian. I think it is with their equivalent of Wall Street. We've done some stuff with Merrick, the big shipping container thing, and it's a big consortium. That's all legal stuff that was really talking about someone using it the wrong way. And he's very specific point out that Blockchain is a great technology if used ethically, and IBM is all about how we do it. So we make sure whether be quantum computing, Blockchain, et cetera, that everything we do at IBM is about helping the end users, making sure that we're making, for example, open source. As you know. Well, the number one provider of open source technology pre read had acquisition is IBM. We submit Maur into the open community. Renounce Now are we able to make some money off of that? Sure we are, but we do it for a reason, because IBM believes as day point out in this core research. Open computing is court research, and we just join the Open Foundation last week as well. So we're really big on making sure that what we do ourselves is Ethel now We try to make sure that what happens in the hands of people who buy our technology, which we can always track, is also done ethically. And we go out of our way to join the right industry. Associations work with governments, work with whatever we need to do to help make sure that technology could really be iRobot. Anyone who thinks that's not true. If you talk to your grandparent's goto, go to the moon. What are you talking about? >> What Star Trek. It's always >> come to me. Oh, yeah, >> I mean, if you're your iPhone is basically the old community. Transport is the only thing I wish I could have the transfer. Aziz. You know, >> David has the same frame us up. I'm afraid of flying, and I I felt like two million miles on United and David. He's laughs about flowers, so I'm waiting for the transport. I know that's why anymore there's a cone over here. Go stand. Or maybe maybe with a little bit of like, I'm selling my Bitcoin. No, hang on, just hold on. There's always a comeback. Not always. There could be a comeback because Derek always enjoy it as always. Thanks for the good seeing you. All right, Back with more Veum. World 2019 The Cube live in San Francisco.

>> Hello everyone. Welcome to this CUBE conversations here in Palo Alto, California John Furrier, host of the Cube. I'm here with Jagane Sundar CTO chief technology officer of WANdisco, you get great to see you again. Place we're coming on. >> Thank you for having me, John. >> So the conversation I want to talk to about the technology behind WANdisco and we've had many conversations. So for the folks watching good, our YouTube channel insurgency the evolution of conversations over, I think. Eight, eight, nine years now we've been chatting. What a level up. You guys are now with cloud big announcements around multi cloud live data in particular. So the technology is the gift that keeps giving for WANdisco you guys continuing to take territory now, a big way with cloud, big growth, A lot of changes, a lot of hires. What's going on? >> So, as you well know, WANdisco stands for wide area network distributed, computing on the value ofthe the wide data network aspect is really shining through now because nobody goes to the cloud saying, I'm going to put it in one data center. It's always multiple regions, multiple data centers in each region. Suddenly, problem of having your data consistent, being across multiple cloud windows are on prem to cloud becomes a real challenge. We stepped in. We had something that was a good solution for small users, small data. But we developed it into something that's fantastic for large data volumes on people are running into the problem. The biggest problem that IT providers have is that data scientists do not respect data that's not consistent. If you look at a replica of data and you're not sure whether it's exactly accurate or not the data scientists who spent all his time building algorithms to predict some model gonna look at it and go, that data's not quite right. I'm not going to look at it. So if you use a inconsistent tool or an inadequate tool to replicate your data, you have the problem that nobody is going to respect the replicas. Everybody's going to go back to the source of truth. We solved that problem elegantly and accurately >> State the problem specifically. Is it the integrity of the data? What is the specific problem statement that you guys solve with technology? >> Let me give you an exam you have notifications that come out of cloud object stores when an object this place into the store or deleted from the store that the best effort delivery. If there are logjams in this mechanism used to deliver some notifications, maybe drop the problem with using that notification mechanism to replicate your data is that over a period of time, so you have two three petabytes of data and you're replicating it over a month or month and a half, you'll find that maybe point one percent of your data is not quite accurate anymore. So the value ofthe the replicas essentially zero >> like a leaky pipe. Basically, >> indeed, if you have a leaking pipe, then it's just totally >> we need to have integrity and to end. All right, let's get back to some of the things I want to ask because I think it's a fascinating been following your story. For years, you had a point solution. Multiple wider. You had the replication active, active great for data centers. So disaster recovery not mission critical, but certainly critical. Correct, depending on how it the mission of us. It wasn't this asked Income's Cloud. You mentioned a wide area. Networks and you go back to the old days when I was breaking into the business. That's when they had, you know, dial up modems and front pagers. Not even cell phones. Just starting. Why do your network would have really complicated beast and all the best resource is worked on expensive bandwith, that he had remote offices and you had campus networking then. So why the area networking went through that phase one? Correct. Now we're living in. They win all the time. Cloud is when white area >> correct cloud is when. But there are subtle aspect that people miss all the time. If you go to store an object in Amazon, says three, for example, you pick a region. If it's a complete wide area distributed entity, why do you need to pick a region? The truth is, each cloud vendor hides a number of region specific or local area network specific aspects of their service. Dynamo DB runs and one data centre one one region, two or three availability zones in a region. If you want to replicate that data, you don't really have much help from the cloud vendor themselves. So you need to parse the truth from what has offered what you will find us. The van is still a very challenging problem for a lot of these data application problems. >> Talk about the wide area network challenges in the modern era we're living in, which is cloud computing mentioned some of the nuances around regions and availability zones. Basically, the cloud grew up as building blocks and the plumbing on the neither essentially a mai britt of of certain techniques and networking. Local area network V lands tunneling All these stuff Nets router. So it's obviously plumbing. Yes, what's different now that's important to take that to the next level. Because, you know, there are arguments that saying, Hey, GPR, I might want to have certain regions be smarter, right? So you're starting to see a level up that Amazon and others air going. Google, in particular, talks about this a lot as Ama's Microsoft. What's that next level of when, where the plumbing it's upgraded from basically the other things. >> So the problem really has to be stated in terms ofthe your data architecture. If you look at your data on, figure out that you need the set of data to be available for your business critical applications, then the problem turns into. I need replicas of this data in this region and the other reasons, perhaps in two different cloud render locations because you don't want to be tied down to their availability. One cloud vendor, then the problem tones into How do you hide the complexity of replicating and keeping this data consistent from the users of the data data scientists, the application authors and so on. Now, that's where we step in. We have a transparent replication solution that fits into the plumbing. It's often offered by the IT folks as part of their cloud offering or as part of the hybrid offering. The application. Developers don't really need to worry about those things. A specific example would be hive tables that are users building in one data center an IT Professional from that organization can buy our replication software. That table will be available in multiple data centers and multiple regions available for both Read and write. The user did not do anything or does not need to be a there. So if you have problems such as GDPR requires the data to be here. But this summarized data can be available across all of these regions. Then we can solve the problem elegantly for you without any act application rewiring or reauthoring. >> Talk about the technology that makes all this happen again. This has been a key part of your success that WANdisco love the always love the name wide area there was a big wide area that were fan did that in my early days configuring router tables. You know how it has been. You know, hardcore back then, Distributed systems is certainly large. Scale now is part of the clouds. So all the large scale guys like me when we grew up into computer science days had to think about systems, architecture at scale. We're actually living it now, Correct. So talk about the technology. What specifically do you guys have that that that's your technology and talk about the impact to the scale piece. I think that's a real key technology piece >> indeed. So the core of our algorithm is enhancements and superior implementation. Often algorithm called paxos. Now paxos itself is the only mathematically proven algorithm for keeping replicas in multiple machines or multiple regions. So multiple data centers the other alternatives. Such a raft and zookeeper protocol. These are all compromises for the sake of the ease of implementation. Now we don't feel the cost of implementation. We spent many years doing the research on it, so we have fantastic implementation. Of paxos is extended for use over wide data networks without any special hardware I mentioned without any special hardware piece, because Google Spanner, which is one of our primary competitors, has an implementation that that needs your own specific network and hardware. So the value of >> because they're tired, the clock, atomic clock, actually, to the infrastructure of their timings, that's all synchronized. So it's it's only within Google Cloud? >> Exactly. It cannot even be made available to Google's customers of Google Cloud. That was a feature that they added recently, but it's rolling out in very limited. >> They inherited that from their large scale correct Google. Yes, which is a big table spanner. These are awesome products. >> These are awesome products, but they're very specific >>Tailored for Google. >> Yes, they're great in the Google environment. They're not so great outside of Google. Now we have technology that makes you able to run this across a Google Cloud and Microsoft's Cloud and Amazons Cloud. The value of this is that you have truly cloud neutral solutions. You don't need to worry about when the lock in, you don't need to worry about availability problems in one of the cloud vendors and then you can scale your solution. You can go in with an approach such that when the virtual machines or the compute resource is in one cloud vendor are really inexpensive. Will use that when it's very expensive. Will move our workloads to other locations. You can think up architectures like that, with our solution underpinning your replication >> rights again. I'm gonna ask you the technical quite love these conversations get down and dirty on the hood. So Joel Horowitz was on your new CMO former Microsoft. Keep alumni Richard CEO Talk aboutthe. Same thing. Moving data around the key value probably that's tied right into your legacy of your I P and how that value is with integrity. Moving data from point A to point B. But the world's moving also to identify scenarios where I'm going to move compute rather than through the day, because people have recognized that moving data is hard you got late in C and this cost in band with so two schools of thought not mutually exclusive. When do you pick one? >> Okay, absolutely. They're not mutually exclusive because there are data availability needs that defined some replication scenarios on their computer needs that can be more flexible. If you had the ability to say, have data in Amazon's cloud on in Microsoft's Cloud, You mean Want to use some Amazon specific tools for specific computer scenarios at the same time, used Microsoft tools for other scenarios or perhaps use open source, too, like Hadoop in either one of those clouds? Those are all mechanisms that work perfectly well, but at the core you have to figure out your data architecture. If you can live with your data in one region or in one data center, clearly that's what you should do. But if you cannot have that data, be unavailable, you do have to replicate it. At that point, you should consider replicating to a different cloud window because availability is concerned with all these vendors. >> So two things I hear you say one availability is it's a driver. The other one is user preference Yes. Why not have people who know Microsoft tools and Microsoft software work on Microsoft framework of someone using something else in another cloud? The same data can live in both places. You guys make that happen? Is that what you're saying? Exactly. That's a big deal. >> Absolutely. And we guarantee the consistency that a guarantee that you will not get from any other bender. >> So this basically debunks the whole walk in, Yes, that you guys air solution to to essentially relieve this notion of lock and so me as a customer and say, Hey, I'm an Amazon right now. We're all in an Amazon. But, you know, I've got some temptation to goto Azure or Google. Why wouldn't I if I have the ability to make my data consistent, exact. Is that what you're saying? >> That is exactly what I'm saying. You have this ability to experiment with different cloud vendors. You also have the ability to mitigate some of the cost aspect. If you're going to pay for copies in two different geographic locations, you might as well do it on two different cloud vendor see have the richer subset of applications and better availability. >> So for people who say date is a lock inspect for cloud. It's kind of right if unless they use WANdisco because in a sense, and because you know what really moves with it. I mean, your data's Did you stay there? Yeah, that's kind of common sense. It's not so much technical locket, so there's no real technical lockets. More operational lock and correct with data, if you don't wantto. But if you're afraid of lock in, you go with the WANdisco. That's live data. Multi cloud is that >> that was live data multi cloud on. Does this new ability to actually have active data sets that are available in different cloud bender locations? >> Well, that's a killer app right there. How do you feel? You must You must feel pretty good. You know, you and I have talked many times. Yes, but this's like you been waiting for this moment. This is actually really wide here in a k a cloud. I was a big data problem. Which only getting bigger, exactly. Replication is now the transport between clouds for anti lock. And this is the Holy Grail for home when >> it is the Holy Grail for the industrial. We've been talking about it for years now, and we feel completely redeemed. Now we feel that the industry has gotten to the point back. They understand what we've talked about. I feel very excited, the custom attraction we're seeing on watching our customers light of when we describe the attributes we bring, It's >> exciting and just the risk management alone is a hedge. I mean, if I'm a if I'm someone in the cyber security challenges alone on data, you've got data sovereignty, compliance. Never mind the productivity piece of it, which is pretty amazing. So you guys are changing the data equation. >> Indeed, R R No most excited customers are CEOs because mitigating risk from things like cyber security. As you point out, you may have a breach in one cloud vendor. You can turn that off and use your replica in the other cloud vendor side instantly. Those are comfort. You do not get that other solutions. >> So world having a love fest here. I love the whole multi cloud data. No anti lock. And I think that's a killer feature. Think we'll sell that baby? I'm going to say, OK, that's all good, but I'm going to get you on this one. Security. So no one saw security yet. So if you saw that, then you pretty much got it all. So tell me the securities. Just >> so I'll start by saying, right. Our biggest customer base is the financial industry, banking in companies insurance company's health care. There is no industry in the world that's more security conscious than the banking. And does the government the comment? Perhaps I would. I mean, the banks are really security >> conscious, Their money's money, >> money is money. And and they have, ah, judicially responsibility both governments and to their to their customers. So we've catered to these customers for upwards off a decade. Now, every technical decision we make has security. Ask one of the focus items on DH >> years. A good un security. You >> feel's way insecurity when minute comes to date. Yes. >> Encryption. Is that what this is? It's >> encrypted on the wire. We support all on this data at rest encryption schemes. We support all the the the soup and the cloud vendor security mechanisms. We have a cross cloud product, so the security problems are multiplied and we take care of each of those specifically. So you can be confident that your data secure >> and wire speed security, no overhead involved, >> no overhead involved at all. It's not measurable. >> So well, congratulations on where you guys are a lot more work to do. You guys going to staff? So you hiring a lot of people talk about the talent you're hiring real quick because, you know large skin attracting large scale talent is also one indicator. Yeah, the successful opportunity. I see, the more I think the positioning is phenomenal. Congratulations absent about the hiring, >> as you know, as as David mentioned. A few minutes ago, we hired Joel from IBM for our marketing a department. He cmo wonderful. Higher. We've got Ronchi, who's from the University of Denver. I left the head of that computer science department to come work for us. Another amazing guy. Terrific background. We've got shocked me. Who's another column? UT Austin, phD. He's running engineering for us. We're so pleased to be able to hire talent at this level. As as you well know, it's the people who make these jobs interesting and products interesting. We are. So what are >> some of the things that those guys say when they when they get into really exposed. I mean, why would someone with somewhat what would take someone to quit their ten year professor job at a university, which is pretty much retirement to engage in a growing opportunity? What's the What do they say? >> So the single I mean that you'll find in all of this is very complex, unique technology that has bean refined on it's on the verge of exploding toe, probably something ten to one hundred times the size it is today. People see that when dish when we show them the value ofthe what we've got on the market, that we're taking this too. I'm just getting excited. >> Well, congratulations. You guys have certainly worked hard. Has been great to watch the entrepreneurial journey of getting into that growth stream and just the winds that you're back all that hard work into technologies. Phenomenal again. Multi cloud data not worrying about where your data is is going to give people some East and rest in the other rest of night. Well, because that's the number one of the number one was besides security absolutely Jagane Sundar CTO chief technology officer of WANdisco here inside the CUBE in Palo Alto. I'm John Furrier. Thanks for watching.

(bright music) >> Hello everyone, welcome to a special Cube Conversation here, in the Palo Alto studios, for theCUBE, I'm John Furrier, the founder of SiliconeANGLE Media and theCUBE, and cohost of theCUBE. My next guest is Adrian Scott, who is the CEO of Soma Capital and Head of Technology of decent.bet. You can get the idea of that going to be all about, but, industry legend-- >> Yeah. >> Star of the big screen, good to see you, thanks for comin' in. >> Thank you John, it's great to see you. >> I'm glad I wanted to talk to you, because I know you've been doing a lot of traveling, you've been living in Panama, and overseas, outside the US, mainly around the work you've been doing on the crypto side, obviously Blockchain and with the start of decent.bet, lot of great stuff, but congratulations on a successful initial coin offering! >> Thank you. >> Great stuff, but you're also notable in the industry, initial investor in Napster, our generation, first P2P, the first renegade, you know, break down the movie business, but the beginning of what we're now seeing as that decentralized revolution. But you've seen many waves of innovation. You've seen 'em come and go. But this one in particular, Blockchain, decentralized internet, decentralized applications, crypto. Pretty awesome, and lot of young guns are coming in, a lot of older, experienced, alpha entrepreneurs are coming in like yourself, and, we're lookin' at it too. What's your take on it? I mean, how do you talk people that are like, "Well, hey, this is just a scam on the ICS site, "is this real, is it a bubble?" Share your vision on what this is all about, this whole mega-trend, crypto, decentralized. >> And I'll also add, in addition to what you mentioned, the other neat thing here is just the global nature of it. Because we're so used to being Silicon Valley-centric, and having to dig around for funding here, and also, looking only at talent that would move here, whereas with this whole new industry, it's very global, there's global teams, international teams, and, some of the Silicon Valley folks are just struggling to stay relevant, and stay in the game, so that's a fascinating aspect to this new revolution as well. >> And also, the thing I love about this market, it's very efficient, it takes away inefficiencies, in venture capital right now, and private equity being disrupted, that's where the arbitrage is, hence the ICO bubble, but, there is real, legit opportunities, you have Soma Capital, you're an investment fund, that you're doing token investments on. The global nature is interesting, I want to just ask here about this, because, my view is, it changes valuation, it changes valuation mechanisms, it changes the makeup of the venture architecture, it makes up on how people recruit teams, the technology used, and with open source, I mean, this is a first-time view at a new landscape. You can't take a pattern match, model, to this, your thoughts. >> Agree completely, and the efficiency you mentioned, applied to teams, and surfacing engineering talent, and the mathematical minds that can handle crypto internationally, the formation of teams internationally online is actually something special as well, so, with Decent Bet, our team, our founding team includes folks from the US, Panama, Australia, as well, who met up, in a Facebook chat group! And that's how they initially connected, and they didn't know each other physically, before this connection online, and that led to this project, Decent Bet, and ICO, and so on. So it's-- >> You created value from essentially a digital workforce, but, I mean, it reminds me of, like in the old days, you'd chat, and it wasn't a lot of face-to-face, but then now there's video gaming culture, you know, you come in, "Hey, you want to play a game," people don't even know each other, and get a visual, and also an immersive experience with each other. This is now the application for entrepreneurial equations, so this kind of gaming, the game is startups! So how are you looking at this, and how are you investing in it, what are some of the things, and what can people learn from what we're seeing in this new game-ified, if you will, you know, world of starting companies? >> I think one of the things you alluded to there has really become visible, which is the importance of video, as a medium, and I'm still, absorbing and adjusting to that myself. For example, we do video communications, we do conversations at Decent Bet, of the founding team, and, it really connects to the community, and it's so important, and I'm still absorbing it, like I mentioned, 'cause I'm just so used to publishing articles that are very clearly written, and detailed, and so on. We just did an AMA video, an Ask Me Anything video, in Las Vegas, with the executive team, and it went for 80 minutes, answering the questions, that the community had all submitted! And I just try and imagine that five years ago, it's new way of relating-- >> 'Cause there was no blogging, link back, the only thing you could do in blogging. >> Yeah. >> And then write a perfect blog post, or white paper. >> Exactly. >> And that was who you were. >> Yeah. >> Not anymore, it's more community driven. >> Exactly, and that video as a piece of it, has become so, so important, as a way of communicating the character of the team, and-- >> Before we get into decent.bet, I want to drill those, I think it's a great use case, and again, congratulations on great work there. I want to ask you about something that I've been fascinated with, because I obviously, our generation, we grew up on open source when it was second-class citizen, now it runs the whole world, as first-tier, first-class citizen in software world. The role of the community was really important in software development, 'cause that kept a, it kept a balance, there was governance, was consensus, these are words that you hear in the crypto world. And now, whether it's content and or ICO, the role of the community, and certainly, areas that's out of control in the ICO site, people are cracking down on certainly, like you see Facebook and Twitter trying to do something, but you can't stop the wisdom of the crowd. The role of the community in this crypto, decentralized market, ICOs and whatnot, is super important. Can you share your thoughts, and color commentary on why the community's so important, how do you deal with it (laughs), any best practices, either through scar tissue, or successes, share your thoughts on this. >> Oh yeah, it's totally become a factor, and it's 24/7, right? So, when you are running a crypto project, you need your community management team to be there, in the community channels, 24/7, you need to have somebody there, and they need to be at a certain level that they can handle the challenging questions! And we've definitely had moments where, we have people who try to create FUD, potentially, you know, and bring up stuff, and bring it up again later and whatnot, and we need to be proactive, so when questions come up, we were there to be able to explain, "Okay, here's where you can see this on the Blockchain. "You can verify it yourself." And sometimes, it happens when the team is just about to get on a plane (laughs), and be out of internet communication for a while, so, it's a real challenge, and there's been the voice of experience, on that. >> So talk about how you guys connect, because obviously, being connected is important with community access, but also, with connection, increases the service area for hacks, are you guys carrying five burner phones each, how do you handle email, how have you guys dealt with the whole, you know, there is a lot of online activity, certainly, people trying to do some spear phishing, or whatever tactics there are. Telegram has been littered with a lot of spoofing, and what not, so, all this is going on, that you got to have access communication. But there's a safety component that could have really big impacts to these businesses, that aren't tokeners, because, hacking can be easy if you don't protect yourself. >> We really like Signal app, as a communications medium, there's a new one, starting to grow now, called Threema, which is pretty interesting. Telegram, is just a real challenge, and it's unfortunate, because it's now become this metric. >> How many people are active on your channels-- >> That investors like to look at the size of the Telegram group, but we don't actually have a Telegram group for Decent Bet. And we've used Slack, we are going to be rolling out a internally hosted Slack replacement soon based on Rocket.Chat, we really like Rocket.Chat. As you mentioned, there are spear phishing, we do see that, and, one of the nice things is, a few years ago, you had trouble convincing a team to take security seriously! But you know, when you have team members who may have lost $10,000 in a hack-- >> Or more! >> Or more, you know, there's no question that this needs to be a priority, and everybody buys in on it. So that is one net positive out of this. >> Well let's talk about Decent Bet, fascinating use case, it's in the gaming area, gaming as in like betting, my friend Paul Martino invested I think in DraftKings, one of those other companies, I forget which one it was. In the US, there was regulatory issues, but, you know, outside the US where I think you guys are, there's not as much issue. Perfect use case for tokens, in my opinion. So, take a minute to explain Decent Bet, what you guys are all about, and talk about the journey of conception, when you guys conceived it, to ICO. >> Yeah. Decent Bet was founded about a year ago, by the CEO Jedidiah Taylor, who developed an interesting idea, and plan, so, the neat thing about Decent Bet is, first of all, you have all the benefits of the Ethereum Blockchain, in terms of verifying, transactions, and verifying the house's take. Additionally, what Decent Bet does is distributes all the profits of the casino back to the token-holders. 95% goes as proportionally, and then 5% is awarded in a lottery, so there's no profit for any Decent Bet entity, it all goes back to the tokenholders. So you use the token to play, by gambling, but you can also use your token to convert into house shares, for a quarter, and participate in-- >> So the house always wins, that a good model, right? >> Yes. >> You could become the house, through the tokens. >> Exactly, so, the motto we use is our house is your house (laughs). >> Don't bet against the house. >> Yeah. >> Alright so, I love the gambling aspect of it, I think that's going to be a winner. Tech-involved, ICO process bumps, learnings, things you could share with folks? >> Yeah, so, on the technology, one of the neat things we are doing is, we do offer a slots game, which is a primary component of online gambling, and casinos, a pretty dominant piece of the action. But, if you are going to do a simple slots game on the Blockchain, and wait around for blocks to be mined, you're not going to have a great experience. 'Cause you're going to be waiting around, more than you're going to be clicking that button. So, what we use is a technology called state channels, which allows us to do a session, kind of on a side channel, so to speak, and through this state channel, at the end of the session, you post back the results. So you get the verifiability of the Blockchain, but without the delay. So that's a major difference. >> That's off chain, right? >> Yeah. >> Or the on chain is off chain. >> It's kind of-- >> So you're managing the league, to see the chain, so you still experience, and then get to preserve it on the chain. >> Exactly-- >> Okay. >> In terms of the ICO experience, we initiated the ICO end of September, ran for a month, raised more than 52,000 Ether, so very productive ICO process, but with actually some interesting details, so, the ICO structure limited the amount that a particular address could purchase, in the first phases, to 10,000 worth, and then 20,000 dollars worth, with the idea of getting the tokens into the hand of, of people who are going to potentially use them for betting, not just-- >> The more the merrier for you, not, no one taking down allocations, big players. >> Exactly. >> Or whales. >> Not just for the whales, take all, kind of thing. So, that was a interesting structure, and-- >> And that worked well? >> Yeah! >> Alright, talk about the dynamic of post-ICO, because now you guys are building, can you give an update on the state of where you guys are at with the product, availability, how that's going, 'cause obviously you raised the capital through the ICO, democratize it if you will through clever mechanism, which is cool, thanks for sharing that, now what happens? Now, what's going on? >> Yeah, I mean, I think we're doing pretty well in terms of hitting milestones, and showing progress compared to a lot of projects, we released our test net, with slots, and then sportsbook, at the beginning of January, and mid-January, for sportsbook. And, we also did some upgrades with our wallet, we released that, for some enhanced usability, and handling during high peaks on the Ether network, Ethereum network. And then, also, our moving to main net. So we did some newer versions of the test net-- >> When did the main net come in? >> Main net is coming out end of April, and we're on track with that. >> Great, awesome. Congratulations, congratulations on a great job, 52,000 Ether, great raise there, and awesome opportunity. Soma Capital. >> Mm-hmm. >> You're investing now, what do you look for for deals, there's more money chasing good deals now, as we can see, has been a flight to quality obviously. Great global landscape still, what are you looking for? And advice to folks who are looking to do a token, sale, what's your-- >> Big thing we look for are real projects, so (laughs), and they're not that many out there, so we do look for a real use case that makes sense, because, there's a lot of folks out there just sticking Blockchain tag onto anything. And it's not just-- >> Like Kodak for instance. >> Yeah. >> Kodak's the prime example. >> Yes. There are projects out there doing interesting things, Guardium is doing some neat things in terms of 911 response, and opening that up, and creating an alternative to government services. There's WorkCoin, which is-- >> Do you invest in Guardium? >> Yeah, in Guardium, yeah. >> I interviewed them in Puerto Rico. >> Okay, great. >> Great project. >> So very interesting, I was recently giving a talk at a university in Guatemala, and, the students there at business school, it really resonated, the message there, to them, about okay, government 911 is maybe not the ultimate solution for getting help when you need it. >> Well I think, there's a lot of this AI for a good concept, going to Blockchain for good, because, you're seeing a lot of these easy, low-hanging fruit applications around these old structural intuitions. And that's where the action is, right, I mean, do you agree? >> Yeah, yes. And the other thing we're looking at is not just Blockchain. So I really like talking about the field more as crypto, and, I have a little video I did on calling it kind of decentralized, crypto-enabled applications, or platforms. So, beyond Blockchain, we have DAGs, Directed Acyclic Graphs, one interesting-- >> Like Hashgraph. >> Yeah, Ha-- >> Hashgraph's a DAG, isn't it? It's kind of a DAG, Hashgraph? >> Yeah, so, I'm not a huge fan of Hashgraph, one that I do like is called Guld, G-U-L-D, which is, again, thinking beyond the Blockchain. 'Cause we get so tied into Blockchain, Blockchain, Blockchain-- >> What does beyond the Blockchain mean to you? Thinking beyond the Blockchain, what does that mean to you? >> So, the proof of work process, the mining process, the creating new blocks process, is one way of doing things. But we have all these other things going on in crypto, like the signing process, and so on, and so, you can use those in a DAG, a different architecture than just this mining new blocks, you know, mental model. And so, that can be used for different use cases, for publishing, for group consensus, and so on. And so, Guld is an example of a project where it looks like there is something real there, and that's a very interesting product. >> Advice for folks that are looking at tokeneries, because, again, we've said this on theCUBE many times, people know, I'm beating this drum, you got the startups, that see an opportunity, which is fantastic, and then on the end of the spectrum, you got the, "Oh, shit, we're out of business, "let's pivot, throw the Hail Mary, put Blockchain on it, "crypto, and get an ICO, and get some going." And then you've got these growth companies that are, either self funded and or growing, that have decentralized kind of feel to it, it has an architecture that's compatible with tokenization. >> Yeah. >> So we see those three categories. Do you agree, am I missing anything? In terms of the profile? And which ones do you like? >> Well, I think one thing that we need to look at, in each of those cases, is decentralization actually happening, in the project? And are people actually thinking about decentralization. Because, it can be scary for a traditional company! Because, if it truly becomes decentralized, you're not controlling it anymore. And so, that is-- >> If you're based on control, then it's incompatible. >> And that's the real Hail Mary, right? (laughs) When you give up that control, if you give it up, so, we have examples coming out, where, you know, Ripple is running just a few nodes, Neo's running a few more, and you know, things that are not really decentralized, and they're saying, "Well, we're going to be," (laughs) you know? >> Will they ever? >> Is it going to be in the future-- >> Yeah, that's always the question, will they ever be? They've already made their money, well certainly Ripple's done well, but, I mean, what's the incentive to go-- >> Yeah. >> Decentralized. >> Yeah, so if, if you are creating a new project, the benefit from this architecture, beyond the money, is to think about it in that decentralized way, and figure out token economics that work, in that context, in that paradigm! And that's really where the challenge is, but also really where some of the benefits can rise, because, that is what enables truly new ways of doing things. >> Talk about the dynamic, because I actually, I live in Silicon Valley, I've been here 19 years, going on 20, you know, I moved from the east coast, and basically, if you weren't here, this is where the action is. If you're in the sports of tech, this is where all the athletes are. That's now changed, as you mentioned earlier, when we started, it's everywhere. Now, also there's jurisdictional issues, I mean the US, one guy's told me, the US is turning into Europe, all these regulations, it's not as much free capital as you think, and then, we certainly know that. With FCC, and others are putting the clamp down. But, structuring the token, is a concern, right? Or consideration. >> Yes. >> And a concern, so, you know, US entrepreneur, what should they do in your opinion, and if someone's outside the US, what do they do? What's the play book, or, not play book, what's the best path right now? >> Leave the US (laughs). Move out of the US. >> Tell that, wife and four kids. See you later. Yeah, but that's real legit, that's-- >> Come and check out Panama, one of my friends is building a Blockchain incubator, crypto-incubator, I mean I think if you're-- >> What's it like to move out of the United States, I know you just recently went to Panama for this, but, what's it like? Is it scary down there, I mean, is it entrepreneurially friendly? What's the vibe, what's the scene like, take a minute to explain that. >> So I've actually been out there 12 years now, in Panama. One of the neat things, you want a place that has an international outlook, international perspectives, so, you want to think in terms of a Dubai, a Singapore, a Hong Kong. And so, Panama has some aspects of that, it's not perfect, but it does have that international perspective thanks to the Canal! So it has, you know, a hundred years! (laughs) >> It also has the Panama papers, which is a negative blowback for those guys, so it's a safe place to do commerce, in your opinion? >> Um, it is a nice geographic base to do international commerce. >> Got it. >> So, you don't necessarily want to rely on the local jurisdiction, but, in terms of a geographic base, that is US time zone, US dollar, no hurricanes, it's a very interesting place. >> Puerto Rico's got the hurricanes, we know that. >> Yeah. >> Final thoughts, just overall perspective, you've been around the block, we've been around the block, both of us have, I mean, I kind of have these pinch me almost like, "Damn, this is great time, "I wish I was 22," I mean, do you have those? What's it like, how you explain this environment? If people ask you, "Hey, what was it like in the old days?" You know, when you have to provision all your own stack, and do all the stuff, it's pretty interesting right now. What's your thoughts? >> Yeah, I mean, I think we're going through an interesting moment right now, where, we are getting to a point where the forces of centralization are coming against the forces of decentralization, and that includes from the regulatory, as well as the business side, and so, I think it is important, as we look where to dedicate our efforts to, to really find ways to increase the decentralization as a factor that encourages creativity, and entrepreneurship. >> Yeah, it really is a personal, I think it's a great environment. Decent.bet, bet, make your bets, any updates on how to get tokens, what people can expect, a quick plug-in for Decent. >> Yeah, check out our website, we've got links to exchanges, the token is currently listed on Cryptotopia, HitBTC, and a couple other exchanges, and, yeah! Please check out the test net, please check out the white paper, and just learn about how this protocol works, this platform works. I think it is very inspiring, as a structure. >> Adrian Scott here, inside theCUBE, Soma Capital, also experienced entrepreneur himself, technologist, and has been through the ICO process, head of technology at decent.net, we'll be checkin' it out, it's theCUBE Conversation, I'm John Furrier, here in Palo Alto, California. Thanks for watching. (bright music)

>> Announcer: From the SiliconANGLE Media office, in Boston Massachusetts, it's The Cube! Now, here's your host, Dave Vellante. >> Hi everybody! My name is Dave Vellante. Welcome to this special presentation on The Cube. Infinidat is a company that we've been following since it's early days. A hot storage company, growing like crazy, doing things differently than most storage companies. We've basically been doubling revenues every year for quite some time now. And Brian Carmody is here to help me kick off this announcement and the presentation today. Brian, thanks for coming back on. >> Hey Dave, thanks for having me. >> So, you may have noticed we have a crowd chat going on live. It's crowdchat.net/Infinichat. You can ask any question you want, it's an ask me anything chat about this announcement. This is a bi-coastal program that we're running today between here and our offices in Palo Alto. So, Brian let's get into it. Give us the update on Infinidat. >> Things are going very well at Infinidat. We're just coming out of our 17th consecutive quarter of revenue growth, so we have a healthy, sustainable, profitable business. We have happy, loyal customers. 71% of our revenue in 2017 came from existing customers that were increasing their investment in our technologies. We're delighted by that. And we have surpassed three exabytes of customer deployments. So, things are wonderful. >> And you've done this essentially as a one product company. Is that correct? Yes, so going back to our first sale in the summer of 2013, that growth has been on the back of a single product, InfiniBox, targeted at primary storage. >> Okay, so what's inside of InfiniBox? Tell me about some of the innovations. In speaking to some of your customers, and I've spoken to a number of them, they tell me that one of the things they like, is that from early on, I think serial number 0001, they can take advantage of any innovations that you've produced within that product, is that right? >> Yeah, exactly, so InfiniBox is a software product. It has dumb hardware, dumb commodity hardware, and it has it has very smart intelligent software. This allows us to kind of break from this forklift upgrade model, and move to a model where the product gets better over time. So if you look at the history of InfiniBox going back to the beginning, with each successive release of our software, latency goes down, new features are added, and capacity increases become available. And this is the difference between the software versus a hardware based innovation model. >> One of the interesting things I'll note about Infinidat is you're doing software defined, you don't really use that terminology, it's the buzzword in the industry. The other buzzword is artificial intelligence, machine learning. You're actually using machine intelligence, You and I have talked about this before, to optimize the placement of data that allows you to use much less expensive media than some of the other guys, and deliver more value to customers. Can you talk about that a little bit? >> Yeah, absolutely, and by the way the reason why that is is because we're an engineering company, not a marketing company, so we prefer just doing things rather than talking about them. So InfiniBox is the first expression of a set of fundamental technologies of our technology platform, and the first piece of that is what you're talking about. It's called NeuroCache. And it's our ML and AI infrastructure for learning customer workloads and using that insight in real time to optimize data placement. And the end result of this is driving cost out of storage infrastructure and driving up performance. That's the first piece. That's NeuroCache. The second piece of our technology foundations is INFINISNAP. So this is our snapshot mechanism that allows infinite, lock-free, copy data management with absolutely no performance impact. So that's the second. And then the third is INFINIRAID and our Raz platform. So this is our distributed raid architecture that allows us to have multi pedibytes scale, extremely high durability, but also have extremely high availability of the services and that what enables our seven nines reliability guarantee. Those things together are the basis of our products. >> Okay, so sort of, we're here today and now what's exciting is that you're expanding beyond just the one product company into a portfolio of products, so sort of take us through what you're announcing today. >> Yeah so this is a really exciting day, and it's a milestone for Infinidat because InfiniBox now has some brothers and sisters in the family. The first thing that we are announcing is a new F Series InfiniBox model which we call F6212. So this is the same feature set, it's the same software, it's the same everything as its smaller InfiniBox models, but it is extremely high capacity. It's our largest InfiniBox. It's 8.3 pedibytes of capacity in that same F6000 form factor. So that's number one. Numnber two, we're announcing a product called InfiniGuard. InfiniGuard is pedibytes scale, data protection, with lightening-fast restores. The third thing that we're announcing, is a new product called InfiniSync. InfiniSync is a revolutionary business continuity appliance that allows synchronous RPO zero replication over infinite distances. It's the first ever in this category. And then the fourth and final thing that we're announcing is a product called Neutrix Cloud. Neutrix Cloud is sovereign storage that enable real-time competition between public cloud providers. The ultimate in agility, which is the ability to go polycloud. And that's the content of the portfolio announcement. >> Excellent, okay, great! Thanks, Brian, for helping us set that up. The program today, as you say, there's a cloud chat going on. Crowdchat.net/infinichat. Ask any question that you want. We're going to cover all these announcements today. InfiniSync is the next segment that's up. Dr. Ricco is here. We're going to do a quick switch and I'll be interviewing doc, and then we're going to kick it over to our studio in Palo Alto to talk about InfiniGuard, which is essentially, what was happening, Infinidat customers were using InfiniBox as a back-up target, and then asked Infinidat, "Hey, can you actually make this a product and start "partnering with software companies, "back-up software companies, and making it a robust, "back-up and recovery solution?" And then MultiCloud, is one of the hottest topics going, really interested to hear more about that. And then we're going to bring on Eric Burgener from IDC to get the analyst perspective, that's also going to be on the West coast and then Brian and I are come back, and wrap up, and then we're going to dive in to the crowd chat. So, keep it right there everybody, we'll be back with Dr. Ricco, right after this short break. >> Narrator: InfiniBox was created to help solve one of the biggest data challenges in existence, the mapping of the human geno. Today InfiniBox is enabling the competitive business processes of some of the most dynamic companies in the world. It is the apex product of generations of technology, and lifetimes of engineering innovation. It's a system with seven nines of reliability making it the most available storage solution in the market InfiniBox is both powerful and simple to use. InfiniBox will transform how you experience your data. It is so intuitive, it will inform you about potential problems, and take corrective action before they happen. This is InfiniBox. This is confidence. >> We're back with Dr. Ricco, who's the CMO of Infinidat. Doc, welcome! >> Thank you, Dave. >> I've got to ask you, we've known each for a long time. >> We have. >> Chief Marketing Officer, you're an engineer. >> I am. >> Explain that please. >> Yeah, I have a PhD in engineering and I have 14 patents in the storage industry from my prior job, Infinidat is an unconventional company, and we're using technology to solve problems in an unconventional way. >> Well, congratulations. >> Dr. Ricco: Thank you. >> It's great to have you back on The Cube. Okay, InfiniSync, I'm very excited about this solution, want to understand it better. What is InfiniSync. >> Well, Dave, before we talk about InfiniSync directly, let's expand on what Brian talked about is the foundation technologies of Infinidat and the InfiniBox. In the InfiniBox we provide InfiniSnap, which is a near zero performance impact to the application with near zero overhead, just of course the incremental data that you write to it. We also provide async and we provide syncronous replication. Our async replication provides all that zero overhead that we talked about in InfiniSnap with a four-second interval. We can replicate data four seconds apart, nearly a four second RPO, recovery point objective. And our sync technology is built on all of that as well. We provide the lowest overhead, the lowest latency in the industry at only 400 microseconds, which provides an RPO of zero, with near zero performance impact application as well, which is exciting. But syncronis replication, for those applications while there's values to that, and by the way all of the technology I just talked about, is just as Brian said, it's zero additional cost to the customer with Infinidat. There are some exciting business cases why you'd use any of those technologies, but if you're in a disaster-recovery mode and you do need an RPO of zero, you need to recognize that disasters happen not just locally, not just within your facility, they happen in a larger scale regionally. So you need to locate your disaster recovery centers somewhere else, and when you do that, you're providing additional and additional performance overhead just replicating the data over distance. You're providing additional cost and you're providing additional complexity. So what we're providing is InfiniSync and InfiniSync extends the customer's ability to provide business continuity over long distances at an RPO of zero. >> Okay, so talk more about this. So, you're essentially putting in a hardened box on site and you're copying data synchronously to that, and then you're asynchronously going to distance. Is that correct? >> Yes, and in a traditional sense what a normal solution would do, is you would implement a multi-site or a multi-hop type of topology. You build out a bunker site, you'd put another box there, another storage unit there, you'd replicate synchronously to that, and you would either replicate asynchronously from there to a disaster recovery site, or you'd replicate from your initial primary source storage device to your disaster recovery site which would be a long distance away. The problem with that of course is complexity and management, the additional cost and overhead, the additional communications requirements. And, you're not necessarily guaranteeing an RPO of zero, depending upon the type of outage. So, what we're doing is we're providing in essence that bunker, by providing the InfiniSync black box which you can put right next to your InfiniBox. The synchronous replication happens behind the scenes, right there, and the asynchronous replication will happen automatically to your remote disaster recovery site. The performance that we provide is exceptional. In fact, the performance overhead of a right-to-earn InfiniSync black box is less than the right latency to your average all flasher right. And then, we have that protected, from any man-made or natural disaster, fire, explosion, earthquake, power outages, which of course you can protect with generators, but you can't protect from a communications outage, and we'll protect from a communications outage as well. So the asynchronous communication would use your wide area communications, it can use any other type of wifi communications, or if you lose all of that, it will communicate celluarly. >> So the problem you're solving is eliminating the trade-off, if I understand it. Previously, I would have to either put in a bunker site which is super expensive, I got to a huge telecommunications cost, and just a complicated infrastructure, or I would have to expose myself to a RPO nowhere close to zero, expose myself to data loss. Is that right? >> Correct. We're solving a performance problem because your performance overhead is extremely low. We're solving a complexity problem because you don't have to worry about managing that third location. You don't have to worry about the complexity of keeping three copies of your data in sync, we're solving the risk by protecting against any natural or man-made disaster, and we're significantly improving the cost. >> Let's talk about the business case for a moment, if we can. So, I got to buy this system from you, so there's a cost in, but I don't have to buy a bunker site, I don't have to rent, lease, buy staff, et cetera, I don't have to pay for the telecommunications lines, yet I get the same or actually even better RPO? >> You'll get an RPO of zero which is better than the worse case scenario in a bunker, and even if we lose your telecommunications you can still maintain an RPO of zero, again because of the cellular back-up or in the absolute worse case, you can take the InfiniSync black box to your remote location, plug it in, and it will synchronize automatically. >> And I can buy this today? >> You can buy it today and you can buy it today at a cost that will be less than a telecommunications equipment and subscriptions that you need at a bunker site. >> Excellent, well great. I'm really excited to see how this product goes in the market place. Congratulations on getting it out and good luck with it. >> Thank you, Dave. >> You're welcome, alright, now we're going to cut over to Peter Burris in Palo Alto with The Cube Studios there, and we're going to hear about InfiniGuard, which is an interesting solution. Infinidat customers were actually using InfiniBox as a back-up target, so they went to Infinidat and said, "Hey can you make this a back-up and recovery "solution and partner with back-up software companies." We're going to talk about MultiCloud, it's one of the hottest topics in the business, want to learn more about that, and then Eric Burgener from IDC is coming in to give us the analyst perspective, and then back here to back here to wrap up with Brian Carmody. Over to you, Peter. >> Thanks, Dave I'm Peter Burris and I'm here in our Palo Alto, The Cube studios, and I'm being joined here by Bob Cancilla, who's the Executive Vice President of Business Development and Relationships, and Neville Yates, who's a Business Continuity Consultant. Gentlemen, thank you very much for being here on The Cube with us. >> Thanks, Peter, thanks for being here. >> So, there is a lot of conversation about digital business and the role that data plays in it. From our perspective, we have a relatively simple way of thinking about these things, and we think that the difference between a business and digital business is the role the data plays in the digital business. A business gets more digital as it uses it's data differently. Specifically it's data assets, which means that the thinking inside business has to change from data protection or asset or server protection, or network protection to truly digital business protection. What do you guys say? >> Sure we're seeing the same thing, as you're saying there Peter. In fact, our customers have asked us to spread our influence in their data protection. We have been evaluating ways to expand our business, to expand our influence in the industry, and they came back and told us, if we wanted to help them the best way that we could help them is to go on and take on the high-end back-up and recovery solutions where there really is one major player in the market today. Effectively, a monopoly. Our customers' words, not our own. At the same time, our product management team was looking into ways of expanding our influence as well, and they strongly believed and convinced me, convinced us, our leadership team within side of Infinidat to enter into the secondary storage market. And it was very clear that we could build upon the foundation, the pillars of what we've done on the primary storage side and the innovations that we brought to the market there. Things around or multiple pedibyte scale, with incredible density, faster than flash performance, the extreme ease of use and lowering the total cost of operation at the enterprise client. >> So, I want to turn that into some numbers. We've done some research here now at Wikibon that suggests that a typical Fortune 1000 company, because of brittle and complex restore processes specifically, too many cooks involved, a focus on not the data but on devices, means that there's a lot of failure that happens especially during restore processes, and that can cause, again a typical Fortune 1000 company, 1.25 plus billion dollars revenue over a four year period. What do you say as you think about business continuity for some of these emerging and evolving companies? >> That translates into time is money. And if you need to recover data in support of revenue-generating operations and applications, you've got to have that data come back to be productively usable. What we do with InfiniGuard is ensure that those recovery time objectives are met in support of that business application and it is the leveraging of the pillars that Bob talked about in terms of performance, the way we are unbelievable custodians of data, and then we're able to deliver that data back faster than what people expect. They're used today to mediocrity. It takes too long. I was with a customer two weeks ago. We were backing up a three terabyte data base. This is not a big amount of data. It takes about half and hour. We would say, "Let's do a restore" and the gentleman looked at me and said, "We don't have time." I said, "No, it's a 30 minute process." This person expected it to take five and six hours. Add that up in terms of dollars per hours, what it means to that revenue-generating application, and that's where those numbers come from. >> Yeah, especially for fails because of, as you said, Bob, the lack of ease of use and the lack of simplicity. So, we're here to talk about something. What is it that we're talking about and how does it work? >> Let me tell ya, I'll cover the what it is. I'll let Nevil get into a little bit how it works. So the what it is, we built it off the building block of our InfiniBox technology. We started with our model F4260, a one pedibyte usable configuration, we integrated in stainless, deduplication engines, what we call DBEs, and a high availability topology that effectively protects up to 20 pedibytes of data. We combined that with a vast certification and openness of independent software vendors in the data protections space. We want to encourage openness, and an open ecosystem. We don't want to lock any customer out of their preferred software solution in that space. And, you can see that with the recent announcements that we've made about expanding our partnerships in this space specifically, Commvault and B. >> Well, very importantly, the idea of partnership and simplicity in these of views, you want your box, the InfiniGuard to be as high quality and productive as possible, but you don't want to force a dramatic change on how an organization works, so let's dig into some of that Nevil. How does this work in practice? >> It's very simple. We have these deduplication engines that front end the InfiniBox storage. But what is unique, because there's others ways of packaging this sort of thing, but what is unique is when the InfiniGuard gets the data, it builds knowledge of relationships of that data. Deduplication is a challenge for second tier storage systems because it is a random IO profile that has to be gathered in the fashion to sequentially feed this data back. Our knowledge-building engine, which we call NeuroCache in the InfiniBox is the means by which we understand how to gather this data in a timely fashion. >> So, NeuroCache helps essentially sustain some degree of organization of the data within the box. >> Absolutely. And there's a by-product of that organization that the ability to go and get it ahead of the ask allows us to respond to meet recovery time objectives. >> And that's where you go from five to six hours for a relatively small restore to >> To 30 minutes. >> Exactly. >> Yeah, exactly. >> By feeding the data back out to the system in a pre-organized way, the system's taking care of a lot of the randomness and therefore the time necessary to perform a restore. >> Exactly and other systems don't have that capability, and so they are six hours. >> So we're talking about a difference between 30 minutes and six hours and I also wanted very quickly, Bob, to ask you a question the last couple minutes here, you mentioned partnerships. We also want to make sure that we have a time to value equation that works for your average business. Because the box can work with a lot of different software that really is where the operations activities are defined, presumably it comes in pretty quickly and it delivers value pretty quickly. Have I got that right? >> Absolutely, so we have done a vast amount of testing, certification, demos, POCs, you name it, with all the major players out there that are in this market on the back-up software side, the data protection side of the business. All of them have commented about the better business continuity solution that we put together, in conjunction with their product as well. And, the number one feedback that comes back is, "Wow, the restore times that you guys deliver to the market "are unlike anything we've seen before." >> So, to summarize, it goes in faster, it works faster, and it scales better, so the business truly can think of itself as being protected, not just sets of data. >> Absolutely. >> Agreed. >> Alright, hey Bob Cancilla, EDP of Business Development Partnerships, Neville Yates, Business Continuity Consultant, thanks very much for being on The Cube, and we'll be right back to talk Multicloud after this short break. >> With our previous storage provider, we faced many challenges. We were growing so fast, that our storage solution wasn't able to keep up. We were having large amounts of downtime, problems with the infrastructure, problems with getting support. We needed a system that was scalable, that was cost effective, and allow our business to grow as our customers' demands were growing. We needed a product that enabled us to manage the outward provision customer workloads quickly and efficiently, be able to report on the amount of data that the customer was using. The solution better enabled us to replicate our customers' data between different geos. >> We're back. Joining me now are Gregory Touretsky and Erik Kaulberg, both senior directors at Infinidat, overseeing much of the company's portfolio. Gregory, let's talk Multicloud. It's become a default part of almost all IT strategies, but done wrong, it can generate a lot of data-related costs and risks. What's Infinidat's perspective? >> So yeah, before we go there, I will mention this phenomemon of the data gravity. So we see, as many of our customers report that, as much as amount of data grows in the organization, it becomes much harder for them to move applications and services to a different data center, or to a different oblicloud. So, the more data they accumulate, the harder it becomes to move it, and they get locked into this, so we believe that any organization deserves a way to move freely between different obliclouds or data centers, and that's the reason we are thinking about the multicloud solution and how we can provide an easy way for the companies to move between data centers. >> So, clearly there's a need to be able to optimize your costs to the benefits associated with data, Erik, as we think about this, what are some of the key considerations most enterprises have to worry about? >> The biggest one overall is the strategic nature of cloud choices. At one point, cloud was a back room, the shadow IT kind of thing. You saw some IT staff member go sign up for gmail and spread or dropbox %or things like that, but now CIOs are thinking, well, I've got to get all these cloud services under control and I'm spending a whole lot of money with one of the big two cloud providers. And so that's really the strategic rationale of why were saying, "Organizations, especially large enterprises require this kind of sovereign storage that disagregates the data from the public clouds to truly enable the possibility cloud competition as well as to truly deliver on the promise of the agility of public clouds. >> So, great conversation, but we're here to actually talk about something specifically Neutrix. Gregory, what is it? >> Sure, so Neutrix, is a completely new offering that we come with. We are not selling here any box or appliance for the customers to deploy in their data center. We're talking about a cloud service that is provided by Infinidat. >> We are building our infrastructure in a major colo, partnering with Equinix and others, we are finding data centers that are adjacent public clouds, such as AWS or Azure to ensure very low latency and high bandwidth connectivity. And then we build our infrastructure there with InfiniBox storage and networking gear that allows our customers to really use this for two main reasons. So one use case, is disaster recovery. If a customer has our storage on prem in his data center, they may use our efficient application mechanism to copy data and get second copy outside of the data center without building the second data center. So, in case of disaster, they can recover. The other use case we see is very interesting for the customers, is an ability to consume while running the application in the public cloud directly from our storage. So they can do any first mount or iSCSi mount to storage available from our cloud, and then run the application. We are also providing the capability to consume the sane file system from multiple clouds at the same time. So you may run your application both in Amazon and Microsoft clouds and still access and share the data. >> Sounds like it's also an opportunity to simplify ramping into a cloud as well. Is that one of the use cases? >> Absolutely. So it's basically a combination of those two use cases that I described. The customers may replicate data from their own prem environment into the Neutrix Cloud, and then consume it from the public cloud. >> Erik, this concept has been around for a while, even if it hasn't actually been realized. What makes this in particular different? I think there's a couple of elements to it. So number one is we don't really see that there's a true enterprise grade public cloud storage offering today for active data. And so we're basically bringing in that rich heritage of InfiniBox capabilities and those technologies we've developed over a number of years to deliver an enterprise grade storage except without the box as a service. So that's a big differentiator for us versus the native public cloud storage offerings. And then when you look at the universe of other companies who are trying to develop let's say, cloud adjacent type offerings, we believe we have the right combination of that scalable technology with the correct business model that is aligned in a way that people are buying cloud today. So that's kind of the differentiation in a nutshell. >> But it's not just the box, there's also some managed servces associated with it, right? >> Well, actually, it's not a box, that's the whole idea. So, the entire thing is a consumable service, you're paying by the drink, it's a simple flat pricing of nine cents per gigabyte per month, and it's essentially as easy to consume as the native public cloud storage offerings. >> So as you look forward and imagine the role that this is going to play in conjunction with some of the other offerings, what should customers be looking to out of Neutrix, in conjunction with the rest of the portfolio. >> So basically they can get, as Erik mentioned, what they like with InfiniBox, without dealing with the box. They get fully-managed service, they get freedom of choice, they can move applications easily between different public clouds and to or from the own prem environment without thinking about the egress costs, and they can get great capabilities, great features like snapshots writeables, snapshots without overpaying to the public cloud providers. >> So, better economics, greater flexibility, better protection and de-risking of the data overall. >> Absolutely. >> At scale. >> Yes. >> Alright, great. So I want to thank very much, Gregory, Erik being here on The Cube. We'll be right back to get the analyst perspective from Eric Burgener from IDC. >> And one of our challenges of our industry as a whole, is that it operates to four nines as a level of excellence for example. And what that means is well it could be down for 30 seconds a month. I can't think of anything worse than me having me to turn around to my customers and say, "Oh, I am sorry. "We weren't available for 30 seconds." And yet most people that work in our IT industry seem to think that's acceptable, but it's not when it comes to data centers, clouds, and the sort of stuff that we're doing. So, the fundamental aspect is that can we run storage that is always available? >> Welcome back. Now we're sitting here with Eric Burgener, who is a research vice-president and the storage at IDC. Eric, you've listened to Infinidat's portfolio announcement. What do you think? >> Yeah, Peter, thanks for having me on the show. So, I've got a couple of reactions to that. I think that what they've announced is playing into a couple of major trends that we've seen in the enterprise. Number one is, as companies undergo digital transformation, efficiency of the IT operations is really a critical issue. And so, I'm seeing a couple of things in this announcement that will really play into that area. They've got a much larger, much denser platform at this point that will allow a lot more consolidation of workload, and that's sort of an area that Infinidat has focused on in the past to consolidate a lot of different workloads under one platform, so I think the efficiency of those kind of operations will increase going forward with this announcement. Another area that sort of plays into this is every organization needs multiple storage platforms to be able to meet their business requirements. And what we've seen with announcement is their basically providing multiple platforms, but that are all built around the same architecture, so that has management ease of use advantages associated with that, so that's a benefit that will potentially allow CIOs to move to a smaller number of vendors and fewer administrative skill sets, yet still meet their requirements. And I think the other area that's sort of a big issue here, is what their announcing in the hybrid cloud arena. So, clearly, enterprises are operating as hybrid clouds today, well over 70% of all organizations actually have hybrid cloud operations in place. What we've seen with this announcement, is an ability for people to leverage the full storage mnagement data set of an Infinidat platform while they leverage multiple clouds on the back end. And if they need to move between clouds they have an ability to do that with this new feature, the Neutrix cloud. And so that really breaks the lock-in that you see from a lot of cloud operations out there today that in certain cases can really limit the flexibility that a CIO has to meet their business requirements. >> Let me build on that a second. So, really what you're saying is that by not binding the data to the cloud, the business gets greater flexibility in how they're going to use the data, how they're going to apply the data, both from an applications standpoint as well as resource and cost standpoint. >> Yeah, absolutely. I mean moving to the cloud is actually sort of a fluid decision that sometimes you need to move things back. We've actually seen a lot of repatriation going on, people that started in the cloud, and then as things changed they needed to move things back, or maybe they want to move to another cloud operation. They might want to move from Amazon to Google or Microsoft. What we're seeing with Neutrix Cloud is an ability basically to do that. It's breaks that lock-in. >> Great. >> They can still take advantage to those back end platforms. >> Fantastic. Eric Burgener, IDC Research Vice-President, Storage. Back to you, Dave. >> Thanks, Peter. We're back with Brian Cormody. We're going to summarize now. So we're seeing the evolution of Infinidat going from a single product company going to a portfolio company. Brian, I want to ask you to summarize. I want to start with InfiniBox, I'm also going to ask you "Is this the same software, and does it enable new use cases, or is this just bigger, better, faster?" >> Yeah, it's the same software that runs on all of our InfiniBox systems, it has the same feature set, it's completely compatible for replication and everything like that. It's just more capacity to use, 8.4 pedibytes of effective capacity. And the use cases that are pulling this into the field, are deep-learning, analytics, and IOT. >> Alright, let's go into the portfolio. I'm going to ask you, do you have a favorite child, do you have a favorite child in the portfolio. Let's start with InfiniSync. >> Sure, so I love them all equally. InfiniSync is a revolutionary appliance for banking and other highly regulated industries that have a requirement to have zero RPO, but also have protection against rolling disasters and regional disasters. Traditionally the way that that gets solved, you have a data center, say, in lower Manhatten where you do your primary computing, you do synchronous to a data bunker, say in northern New Jersey, and then you asynchronous out of region, say out to California. So, under our model with InfiniSync, it's a 450 pound, ballistically protected data bunker appliance, InfiniSync guarantees that with no data loss, and no reduction in performance, all transactions are guaranteed for delivery to the remote out-of-region site. So what this allows customers to do, is to erase data centers out of their terpology. Northern New Jersey, the bunker goes away, and customers, again in highly rated industries, like banking that have these requirements, they're going to save 10s of millions of dollars a year in cost avoidance by closing down unnecessary data centers. >> Dramatically sort of simplify their infrastructure and operations. Alright, InfiniGuardm I stumbled into it at another event, you guys hadn't announced it yet, and I was like, "Hmmm, what's this?" But tell us about InfiniGuard. >> Yeah, so InfiniGuard is a multi-pedibyte appliance that's 20 pedibytes of data protection in a single rack, in a single system, and it has 10 times the restore performance of data domain, at a fraction of the cost. >> Okay, and then the Neutrix Cloud, this is to me maybe the most interesting of all the announcements. What's your take on that? So, like I said, I love them all equally, but Neutrix Cloud for sure is the most disruptive of all the technologies that we're announcing this week. The idea of Neutrix Cloud is that it is neutral storage for consumption in the public cloud. So think about it like this. Do you think it's weird, that EBS and EFS are only compatible with Amazon coputing? And Google Cloud storage is only compatible with Google. Think about it for a second if IBM only worked with IBM servers. That's bringing us back to the 1950s and 60s. Or if EMC storage was only compatible with Dell servers, customers would never accept that, but in the Silicon Valley aligargic, wall-garden model, they can't help themselves. They just have to get your data. "And just give us your data, it'll be great. "We'll send a snowball or a truck to go pick it up." Because they know once they have your data, they have you locked in. They cannot help themselves from creating this wall-garden proprietary model. Well, like we call it a walled, prison yard. So the idea is with Neutrix Cloud, rather than your storage being weaponized as a customer to lock you in, what if they didn't get your data and what if instead you stored your data with a trusted, neutral, third party, that practices data neutrality. Because we guarantee contractually to every customer, that we will never take money and we will never shake down any of the cloud providers in order to access our Neutrix Cloud network, and we will never do side deals and partnerships with any of them to favor one cloud over the other. So the end result, you end up having for example, a couple of pedibytes of file systems, where you can have thousands of guests that have that file system mounted simultaneously from your V-Net and Azure, from your VPCs into AWS, and they all have simultaneous, screaming high performance access to one common set of your data. So by pulling and ripping your data from the arms of those public cloud providers, and instead only giving them shared common neutral access, we can now get them to start competing against each other for business. So rather than your storage being weaponized you, it's a tool that you can use to force the cloud providers to compete against each other for your business. >> So, I'm sure you guys may have a lot of questions there, hop into the crowd chat, it's crowdchat.net/infinichat. Ask me anything, ama crowdchat, Brian will be in there in a moment. I got to ask ya couple of more questions before I let you go. >> Sure. >> What was your motivation for this portfolio explansion. >> So the motivation was that at the end of the day, customers are very clear to us that they do not want to focus on their infrastructure. They want to focus on their businesses. And as their infrastructure scales, it becomes exponentially more complex to deal with issues of reliability, economics and performance. And, so we realized that if we're going to fulfill our company's mission, that we have to expand our mission, and help customers solves problems throughout more of the data lifecycle and focus on some of the pain points that extend beyond primary storage. That we have to start bringing solutions to market that help customers get to the cloud faster, and when they get there, to be more agile. And to focus on data protection, which again is a huge pain point. So the motivation at the end of the day is about helping customers do more with less. >> And the mission again, can you just summarize that, multi pedibyte? >> Yeah, the corporate mission of Infinidat is to store humanity's knowledge and to make new forms of computing possible. >> Big mission. >> Our humble mission. >> Humble, right. The reason I ask that question of your motivation, people might say, "Oh obviously, to make more money." But they're been a lot of single-product companies, feature companies that have done quite well, so in order to fulfill that mission, you really need a portfolio. What should we be watching as barometers of success? How are you guys measuring yourselves, How should we be measuring you? >> Oh I think the most fair way to do that is to measure us on successful execution of that mission, and at the end of the day, it's about helping customers compute harder and deeper on larger data sets, and to do so at lower costs than the competitor down the road, because at the end of the day, that's the only source of competitive advantage, that companies get out of their infrastructure. The better we help customers do that, the more that we consider ourselves succeeding in our mission. >> Alright, Brian, thank you, no kids but new products are kind of like giving birth. >> It's really cool. >> So hop into the crowd chat, it's an ask me anything questions. Brian will be in there, we got analysts in there, a bunch of experts as well. Brian, thanks very much. It was awesome having you on. >> Thanks, Dave. >> Thanks for watching everybody. We'll see you in the crowd chat. (upbeat digital music)

>> Narrator: From the SiliconANGLE Media office in Boston, Massachusetts, it's the CUBE. Now, here's your host, Dave Vellante. (electronic pop music) >> Thanks, Peter. We're back with Brian Carmody. We're going to summarize now. So we're seeing the evolution of Infinidat going from a single-product company to a portfolio company. Brian, I'm going to ask you to summarize. I want to start with InfiniBox. I'm also going to ask you, is this the same software, and does it enable new use cases, or is it just bigger, better, faster? >> It's the same software that runs on all of our InfiniBox systems. It has the same feature set, it's completely compatible for replication and everything like that. It's just more capacity. It's 8.4 petabytes of effective capacity. The use cases that are pulling this into the field are deep learning, analytics, and IOT. >> All right, let's go into the portfolio. I'm going to ask you, it's like, "Do you have a favorite child? Do you have a favorite child in the portfolio?" Let's start with InfiniSync. >> Sure. I love them all equally. InfiniSync is a revolutionary appliance for banking and other highly-regulated industries that have a requirement to have 0 RPO but also have protection against rolling disasters and regional disasters. Traditionally, the way that that gets solved is you have a data center, say, in lower Manhattan where you do your primary computing. You do synchronous to a data bunker, say, in northern New Jersey, and then you do asynchronous out of region, say, out to California. Under our model with InfiniSync, it's a 450-pound ballistically-protected data bunker appliance. InfiniSync guarantees that with no data loss and no reduction in performance, all transactions are guaranteed for delivery to the remote, out-of-region site. What this allows customers to do is to erase data centers out of their topology. Northern New Jersey, the bunker goes away. Again, highly-regulated industries like banking that have these requirements, they're going to save tens of millions of dollars a year in cost avoidance by closing down unnecessary data centers. >> And dramatically simplify their infrastructure and operations. >> Absolutely. >> InfiniGuard, I stumbled into it at another event. You guys hadn't announced it yet. I was like, "Hmm, what's this?" Tell us about InfiniGuard. >> InfiniGuard is a multi-petabyte appliance that fits 20 petabytes of data protection in a single rack, in a single system, and it has 10 times the restore performance of data domain at a fraction of the cost. >> Okay, and then the Nutrix cloud ... This is, to me, maybe the most interesting of all the announcements. What's your take on that? >> Like I said, I love them all equally, but Nutrix cloud for sure is the most disruptive of all the technologies that we're announcing this week. The idea of Nutrix cloud is that it is neutral storage for consumption in the public cloud. So think about it like this. Don't you think it's weird that EBS and EFS are only compatible with Amazon computing and Google cloud storage is only compatible with Google? Think about it for a second. If IBM storage only worked with IBM servers, that's bringing us back to the 1950s and '60s. Or if EMC storage was only compatible with Dell servers, customers would never accept that. But in the Silicon Valley oligarchic, walled-garden model, they can't help themselves. They just have to get your data. "Just give us your data. It'll be great. We'll send a snowball or a truck to go pick it up." Because they know once they have your data, they have you locked in. They cannot help themselves from creating this walled-garden proprietary model, or like we call it, a walled prison yard. So the idea is, with Nutrix cloud, rather than your storage being weaponized against you as a customer to lock you in, what if they didn't get your data? What if instead, you stored your data with a trusted, neutral third party that practices data neutrality? Because we guarantee contractually to every customer that we will never take money, and we will never shake down any of the cloud providers in order to get access to our Nutrix cloud network, and we will never do side deals and partnerships with any of them to favor one cloud over the other. So the end result is that you end up having, for example, a couple of petabyte-scale file systems where you can have thousands of guests that have that file system mounted simultaneously from your VNet in Azure, from your VPC's in AWS, and they all have simultaneous screaming high-performance access to one common set of your data. So by pulling and ripping your data out of the arms of those public cloud providers and instead, only giving them shared, common, neutral access, we can now get them to start competing against each other for business. Rather than your storage being weaponized against you, it's a tool which you can use to force the cloud providers to compete against each other for your business. >> I'm sure you guys may have a lot of questions there. Hop into the CrowdChat. It's crowdchat.net/infinichat. Ask Me Anything, AMA CrowdChat. Brian will be in there in a moment. I got to ask a couple of questions before I let you go. >> Brian: Sure. >> What was your motivation for this portfolio expansion? >> The motivation was that at the end of the day, customers are very clear to us that they do not want to focus on their infrastructure. They want to focus on their businesses. As their infrastructure scales, it becomes exponentially more complex. They deal with issues of reliability, and economics, and performance. We realized that if we're going to fulfill our company's mission, that we have to expand our mission and help customers solve problems throughout more of the data lifecycle, and focus on some of the pain points that extend beyond primary storage. We have to start bringing solutions to market that help customers get to the cloud faster, and when they get there, to be more agile, and to focus on data protection, which, again, is a huge pain point. The motivation at the end of the day is about helping customers do more with less. >> And the mission again, can you just summarize that? Multi-petabyte, and ... ? >> The corporate mission of Infinidat is to store humanity's knowledge and to make new forms of computing possible. >> Big mission. (laughs) Okay, fantastic. >> Our humble mission, yes. >> Humble, right. The reason I asked that question of your motivation, people always say, "Oh, obviously to make more money." But there have been a lot of single-product companies or feature companies that have done quite well. In order to fulfill that mission, you really need a portfolio. What should we be watching as barometers of success? How are you guys measuring yourselves? How should we be measuring you? >> I think the most fair way to do that is to measure us on successful execution of that mission. At the end of the day, it's about helping customers compute harder and deeper on larger data sets, and to do so at lower cost than the competitor down the road. Because at the end of the day, that's the only source of competitive advantage that companies get out of their infrastructure. The better we help customers do that, the more we consider ourselves succeeding in our mission. >> All right, Brian, thank you. No kids, but new products are kind of like giving birth. Best I can say. >> I have dogs. They're like dogs. >> So hop into the CrowdChat. It's an Ask Me Anything questions. Brian will be in there, we've got analysts in there, a bunch of experts as well. Brian, thanks very much. It was awesome having you on. >> Thanks, Dave. >> Thanks for watching, everybody. See you in the CrowdChat. (electronic pop music)

(upbeat music) >> Narrator: Live, from Silicon Valley. It's the Cube. Covering Google Cloud X17. >> Okay welcome back, everyone. We are live in Palo Alto for two days of coverage of Google Next 2017. I'm John Furrier, we're here with Tom Kemp, CEO of Centrify. No longer a startup, they're scaling up. You guys do it very well. Tom, great to see you. Welcome to the Cube. >> Great to be here. >> Saw you at RSA, you guys had an exceptional event. One Presence to show, obviously a security show, you're in the security business. But also mobile world congress will try to get you on again security's hot, front and center at mobile world congress. >> Yeah. >> Security is front and center at Google Cloud Next. Security is front and center at blank event. It's happening everywhere right? So give us the update. What is Centrify, obviously the "No Breach" is your tagline. What's up with Centrify? Give us a quick update on what you're up to. >> Yeah, absolutely. So we're a security company focused, as you said, on identity. And we really address the issue of too many passwords and too much privilege. The fundamental issue that's happening within security, is like 75 billion dollars is being spent on it, it's one of the fastest growing market segments, but it's failing because the breaches are far outnumbering, and growing at a faster rate, than the amount of money being spent on that. And so, we're trying to rethink security by looking at where are the breaches are coming from, and they're coming in from, like in the case of Podesta, stealing usernames and passwords. And Verizon said two thirds of breaches involve stolen credentials. And Forrester just recently said that 80 percent of breaches involve the compromise of privileged accounts, the rude accounts for the infrastructure etc. So if two thirds, to 80 percent of breaches involve identity, we fundamentally believe you need to focus a lot more on that, and that's what we're all about. Focusing on identity. >> And what is this? Is this a new revelation, or is this something that you guys have felt was happening for a long time, or has it just been the matter of fact, that's what's happening? >> You know it's, we have some great investors, and we have Excel, Mayfield, Index, Sigma now called Jex, and Square Adventures. And one of the board members told me, the markets come to you, because we've been doing this for over 10 years. And focusing on identity, and people are like, "Oh okay, that's interesting." But now, if you look at just the massive number of breaches that are occurring, and the focus that identity is the leading attack vector, and then you couple it with the whole move to the Cloud, I know we're going to be talking about what Google is doing in the Cloud, etc. It actually makes the problem even worse. And so we feel that we've been plugging along, doing and focusing on identity, and now kind of the market has come to us, because of the move to Cloud, and the hackers are going after identities. >> Yeah it's interesting, I saw a Facebook friend, I won't say his name for privacy, because I don't have the right to talk about it, he's in bitcoin, so obviously that world is an underbelly in itself. Yeah but, interesting thing is that he had two factor authentication on his phone, and someone hacked his phone and they sent the password back to his phone, all his bank accounts are gone. >> Oh my goodness. >> So this is an example of that privileged identity. So that even two factor authentication, in that case, didn't work. So you starting to see this, right? So what's the answer, and how does it relate to cloud? There's no perimeter in the cloud. Is it federated identity, is it some blocked chain thing, is there new model? What's your view on this, and how you guys attacking it specifically? >> Yeah, I mean in a world in which we're increasingly moving to the cloud, what can you secure? Like if I'm at a Starbucks in Palo Alto, on my Ipad, talking to Google apps, talking to sales force etc., I don't have any Anti Virus, I'm not using any next gen firewall, or VPN etc. So the focus needs to shift to securing the user. And you really need to start integrating, and leveraging, from a multi factor authentication biometrics as well. Use that phone, use the touch ID, to actually ensure that. And then also, in the cloud, start analyzing user behavior. And actually determine, well wait a minute, this person normally doesn't login from China, but now he's accessing the sales force, or Facebook etc. So, it's becoming, evolving more to utilizing mobile device as part of your identity, and it's also leveraging machine learning to understand what normal behavior is, and blocking abnormal behavior. >> And also using big data techniques, because your point about China is interesting. Anyone who travels might have had this situation, we go to Vegas a lot for the Cube, but like I'm in Vegas then I pull out an ATM withdrawal, next I go to use my other credit card, and it says "woah fraud alert." >> Tom: Yes. >> Well, wait a minute, I made a cell phone call, I took money out of the bank, and yet the credit card didn't know that I'm in Vegas. Now that's interesting, so conversely, China's accessing my accounts, and I'm making phone calls in Palo Alto, that should be obvious. >> Yeah. >> That just seems like it's just so disfragmented data sets. >> So historically, the definition of identity was a username, and a password. But, in a Cloud world, identity should be redefined in terms of your applications, your device, your location, and your activity. So, if you are trying to access an app from China, it should ask you for four or five additional bits of information, instead of two factors, it should be multi-factor, and it should include biometrics as well. So, machine learning is this going to become even more critical to reduce fraud, and the compromise of credentials. >> So, let's talk about google next. Because one of the things that, I mean really we know Google, we're living in Palo Alto, they're all around us, they're in Mountain View, Larry Page lives in the hood here. Google has always been a technology innovator, and it's clear that that's the lead for their Cloud. But the enterprise, which they're by the way serious, Dian Green is very serious with enterprise, they're just starting to move down that road. You've been there for awhile, on mobile, and in the enterprise, what is some of the things that people should know about on how hard it is in the enterprise? Specifically with Cloud, what is some of the things that you see as table stakes? >> Yeah, it's actually having meat eating sales reps out in the field. Not relying on some person who's-- >> John: Some bot. >> Yeah some bot, or some 20 year old calling from Austin, or Mountain View, but it's actually having someone there, with a technical architect, that can hop on a subway, or be there within a half hour to spend some quality time. >> John: And strategic selling too right? >> Exactly. Because they have a challenge, which is they're competing with both Microsoft and Amazon. And obviously Microsoft has the enterprise people, and Amazon is really ramping up in that area. And I think that, so you can throw the technology, but enterprise accounts want to be able to have a conversation face to face, more so than executive coming out and having a dinner with someone. >> Take me through a sales motion, because this is important. You and I have talked about this in the past, and Dave Loth and I always talk about it on the Cube. And it used to be well known in the VC circles, that sales forces are expensive because the sales motions are different. What is the typical sales motion for an enterprise like Sell. Because it's not as simple as saying, "self service, Cloud, put your credit card down," and get you know, Cooper and Eddy's support, terminal access, static IP's, virtual servers, oh by the way I got a support DB2 as well. A non Oracle database, or Oracle. >> Well, look I mean, it's very easy to have that bite over the web for when you start a developer for a new application. And Amazon's done a great job at that, Microsoft's getting there as well. So if you really want the existing applications to move to the Cloud, you have to sit down and have conversations about a hybrid Cloud environment. Because people will have on premise active directory, they'll have a set of security policies, etc. And so the conversation needs to be had, is like how do you bridge on premise, with the Cloud as well, and make that heterogeneous environment look and feel and smell like it's homogeneous from authentication, authorization, audit perspective, compliance perspective, etc. So you certainly need to first and foremost be able to put architects out there, have that conversation, etc. And you just can't rely too much on partners. And I think from there service level agreements, and then also showing that your Cloud platform is incredibly secure as well. >> Yeah I would agree, I would just say one, on the meat eating sales rep, basically what that means people understand the domain, with an architect technically that's going to SC, and then you have to really kind of have an understanding that there's a multiple stakeholder role. One's a recommender, one's an influencer, one's a decision maker, and it is a campaign. It's a multi pronged campaign. >> Yeah you have to think-- >> John: Know their problems, give them a solution, value creation. >> Absolutely. >> John: Value selling. >> Because there's just a level of complexity. And again I'm not saying that Google for new projects, with the current sales motion, can't bring on an app, and maybe that app leverages their machine learning, which seems to be world class right? >> TensorFlow's getting great traction, Intel's building chips for that as well. >> Yeah. >> Google owns a great developer mind share, and I think they've really cracked the code on open source, and they have great empathy with the developers, we were talking about with Val earlier. But with operationally I just see a disconnect. And Amazon's quietly ramping up too, they're no spring chicken either when it comes to direct selling, but they're been working more years on that. >> And I think you seen the word Hybrid Cloud, and I know you spent time with the folks at Vmware, talking about the relationship with Ama... That's all about the Hybrid Cloud, which people need, the enterprises need a bridge and on ramp. And I think, from our perspective- >> Vmware is very solid with Gelsinger and their sales force. They're very, >> Yeah absolutely. >> Very strong with enterprise selling. >> And that's what we focus, cause we initially started on premise, we tied things in to active directory for example, but now we have a Cloud platform, and we advertise and promote ourselves as addressing identity for the Hybrid environment, and providing the bridge between the two, and I think that's critical. >> Now do you guys have an enterprise sales force, right? >> Absolutely. >> So you've invested in that, over ten years? >> Oh yeah, absolutely. So we have over 60 percent of the Fortune 50, and 80 percent of our sales comes from the Global 2000. We've grown, we're over 100 million in sales, so we're in there having that conversation with enterprises all the time. >> So Tom, so we know Diane Green lives in the neighborhood, so let's pretend she calls us up, "Hey Tom, John, come over. "We'll have a cocktail, and dinner. "I need your advice on how to ramp up my enterprise, "operational empathy, and strategy." What would we advise her? What would you advise her, I have my own opinion. But go to you first. >> I really think and focus on, obviously use the machine learning as a key wedge for new applications, but really focus on the concept of Hybrid. And she mastered going from physical to virtual. Now, everyone's virtualized, and so she needs to figure out how I can get virtual to Cloud, V to C, right? And have the people, and have the conversation, and provide bridging technologies as well. So I think that is going to require, not just purely Cloud based stuff, but it's going to probably provide, she's going to need, either through partnerships, or developer stuff. >> Or M and A. >> Or M and A, she's going to have to build connectors, to help facilitate the bridging, because she can go after definitely the 20 percent of the new stuff, but if you want to attack the 80 percent of the existing stuff, and she did a masterful job of going physical to virtual-- >> At VMware. >> At VMware, and now her challenge is to go V to C. Virtual to Cloud. >> So my advice, Diane if you're watching, is the following: One, don't screw up the Google formula. And I know she's transforming Google, and that's a good thing, they need that right now. But I think, what I like about what I'm seeing at Google Next right now is that they have great technology chops. In kind of the Google, pat themselves on the back kind of way, which is they got mojo, they've always had great technology mojo, and that comes down from the founder. So the machine learning stuff, the AI, the stuff that they're doing in their portfolio has, I call the coolness-relevant factor on the tech. What I would do, is I would specifically nurture that, cause she's also a good knack for doing innovative things, and she's very innovative manager, and I've seen that at Vmware, and other places that she's been advising. So she's got a knack for, "Ahh that's cool, look we should do that cool technology "that's going to have legs in the future." So she's got a good sage picking out the technology. I would do an M and A. I would just stop expanding the existing Google culture relative to that sales motions and the enterpriseness, and just go buy somebody. Spend the billion dollars, or more, take someone out whose got full global, regional sales force, why not? Because then those guys already have the relationships, so the buy, build, to the sales force might take too long. I'm not sure that they could get there. I mean, what do you think about that? >> Yeah I think it's, I think they've been public about it. I think they have to invest in their own, but I do think that M and A, I mean they're number three, and they got to do something. Clearly the machine learning AI stuff is going to be huge. We're actually very impressed, I got emails from the folks at the show, about this whole video stuff, in terms of their ability to use the machine learning, and AI to interpret video, which is pretty impressive. But again that's going to be more for a vertical. Or a specific type of application. And so I think they're going to need to do a combination . >> Here's the thing that I'm seeing though. There's a speed of Google, and there's a speed of enterprise. They might have to throttle down, I don't want to say dumb down, that's particularly not the issue, it's more of throttle down the cadence of what enterprises are comfortable with. For example, SLA's, their SLA's are a little bit gray area, but they're awesome on, "hey it only costs X dollars, "import this great data and crunch all this stuff." So they've got great pricing. >> They need to master, Diane did a masterful job of like, overnight she had a utility that could go P to V, and you flipped it up, and everything just magically worked. And they need to prove that they can forklift the applications, with minimal to no changes, and things magically work. And that requires a bunch of software partnership technology, that it's like flipping a switch to go the Cloud. And if you don't like it, then you can roll it back as well. >> What's their security in position in your mind? You've done an audit, you been keeping track of it, or they're secure. Or what's the needs of the enterprise that they should be addressing for security? Well you guys have a relationship with any other booth at the event. >> Yeah absolutely, and we integrate at multiple levels as well. I think they're doing a pretty good job, I think that other vendors like Microsoft are really more heavily investing in areas that we're in, such as identity, so Microsoft has basically replicated the playbook with active directory, and they have something called Azure AD, and so Google doesn't have anything that's equivalent. That's good for us, that actually leads to opportunities, but they could do more in the areas of identity. I think if you look at what Amazon's doing in terms of web application firewalls, and protecting applications that are being spun up in the cloud. I think those are areas that can be improved. Encryption, key management, etc. So if you look at the slide that they have where they say insecurity, I think they list three items, but then if you were to compare it to say Microsoft, or Amazon, they've got five, six, seven items right there as well. I think that there's definitely going to be needs and requirements that need to be met and addressed there. So it's good, for us. >> Well to me it's just a matter of their evolution, they can only go as fast as they can go. That's what the people that I tend to talk to don't get. They can be critical of Google, but at the end of the day they can only go so fast. >> Yeah, and also another bit of advice, is they do have a very good install base with Gsuite, formerly Google apps, but they got to do a better job of leveraging that when people try to move to infrastructure as a server-- >> I think they're taken that advice because it was clear that they're at this event, was they're showcasing a lot of the stats on Gsuite, they're also talking about the apps. And that's consistent with IBM, Oracle, and Microsoft. They're throwing in their Sass layers as part of the stack as well. That's how they can differentiate from Google. What else do they have right? >> Really it's almost like a startup company that's been around for a few years. They have their initial product, and they come out with their second product and the board members will say, "Well what's the adoption of cross selling "the new product with the existing?" And so it should be interesting to see if they can get people that bought in to the Gsuite vision, to say, "Oh okay, now I'm going to start firing up servers "on the Google Cloud platform." >> Well you bring up a good point about their Gsuite, and I mentioned Microsoft using Office 365 as an example. Oracle throws their apps into the blender, if you will. On the numbers and everything. It's interesting Wikibon research is showing that the past layers squeezing, that's a big debate in our own research team, but Gartner research that I just recently looked at from February. Basically there's a new talk about Sass, so if you start including Sass, then you got to open up the conversation to Salesforce, Adobe, and on and on and on. Because there's a Cloud service provider model out there. Linkedin's a service provider. So what is Sass, I always look at it like what's the Sass equation look like. I mean, what does Cloud really look like? >> I look at the statistics, because we address both infrastructure as a service, and software as a service as well, with our identity solutions. Clearly infrastructure as a service is a much bigger market, Sass is pretty significant, but if you add up Sass, infrastructure, and Pass, it's about 24 billionish right there. But guess what, Amazon already has over 10 of it last year. Amazon has 40 percent of the Cloud market as well. And they've proven that you don't have to have a Sass capability to be incredibly successful in the Cloud. >> Well they have their one Sass that was called Amazon.com, but they broke that out. Alright, Tom what's next for you guys at Centrify. What's on your, anything coming up, things you're working on, share some quick plug for Centrify, and the progress you're making in status? >> We've been doing this for 10 years, and we feel really good about providing basically a platform for identity. And one theme and trend that we're seeing a lot of in the security market is that buyers have security fatigue, they're so sick of dealing with point solutions, and I think that's working to our advantage, that people are looking at a vendor such as us, that can address, not only single sign up, but multi-factor authentication, privilege account management as well. So we're very much focused these days on providing a set of solutions that are all built on a platform, and just kind of filling in-- >> When you say fatigue, you mean sprawl and applications they're buying just another platform, because they do try to try everything, why wouldn't they? They're getting tired of that? >> In security you just have a lack of security knowledge. There's a huge skills gap when it comes to security. And if you have to buy a point solution to address every little bit of security, you just can't hire people, right? And then you find that you have air gaps that actually makes you less secure. And so we've over time built this platform up, and now we're really seeing that people are like, I don't have to get a standalone EMM, a standalone SSO, a standalone MFA solution, a standalone password vault solution etc. So we're very much focused on selling our platform to customers and with this whole mindset of customers wanting to consolidate vendors. Historically vendor consolidation was about buyers wanting that, but now IT people want that. And so we're really just focusing on, internally articulating how we can actually address a lot of problems that people have with too much privilege, and too many passwords. >> And you guys are expanding your sales force team? >> Oh absolutely. We've definitely hit the critical mass. We're over a hundred million sales, we're growing fast, we're cash flow positive as well. >> John: Alright, congratulations. The VC's happy. Time to go public, so what's your evaluation? Unicorn. >> No comment on that, rule 40 and all that fun stuff. We got a lot of checkboxes right there. >> I think your VC partner is right, your investor, the world is spinning towards you because if you look at the identity, and nearly everything in the digital world, whether it's Cloud, data, or packets or people. It's going to be a persona based focus. Not like, what company you work for. >> We had this huge trend of consumerization of IT, so it's really about the user. So focus on securing the user, not focusing on securing the network, because the network's gone. >> Finally, 30 years later, it's coming back to the user. It's been talked about, the passports, the digital wallet. >> Exactly. >> John: Tom Kemp, CEO of Centrify, a hot startup growing over 100 million in sales. Heard here on the Cube. Very successful company. Really have a nice approach, world's spinning towards them. Really hopefully a great solution for our security and our liberties so we don't get hacked over and over again. It's the Cube, bringing you all the coverage of Google Next, here in the studio I'm John Furrier. Be right back with more, after this short break. (resonant techno music)

okay welcome back to IBM's information on demand live in Las Vegas this is the cube SiliconANGLE movie bonds flagship program we go out to the events it's check the student from the noise talk to the thought leaders get all the data share that with you and you go to SiliconANGLE com or Wikibon or to get all the footage and we're if you want to participate with us we're rolling out our new innovative crowd activated innovation application called crowd chat go to crouch at net / IBM iod just login with your twitter handle or your linkedin and participate and share your voice is going to be on the record transcript of the cube conversations I'm John furrier with silicon items with my co-host hi buddy I'm Dave vellante Wikibon dork thanks for watching aren't you Oh bhambri is here she's the vice president of big data and analytics at IBM many time cube guests as you welcome back good to see you again thank you so we were both down at New York City last week for the hadoop world really amazing to see how that industry has evolved I mean you guys I've said the number of times today and I said this to you before you superglued your your big data or your analytics business to the Big Data meme and really created a new category I don't know if that was by design or you know or not but it certainly happened suddenly by design well congratulations then because because I think that you know again even a year a year and a half ago those two terms big data and analytics were sort of separate now it's really considered as one right yeah yeah I think because initially as people our businesses started getting really flooded with big data right dealing with the large volumes dealing with structured semi-structured or unstructured data they were looking at that you know how do you store and manage this data in a cost-effective manner but you know if you're just only storing this data that's useless and now obviously it's people realize that they need and there is insights from this data that has to be gleaned and there's technology that is available to do that so so customers are moving very quickly to that it's not just about cost savings in terms of handling this data but getting insights from it so so big data and analytics you know is becoming it's it's becoming synonymous heroes interesting to me on Jules is you know just following this business it's all it's like there's a zillion different nails out there and and and everybody has a hammer and they're hitting the nail with their unique camera but I've it's like IBM as a lot of different hammers so we could talk about that a little bit you've got a very diverse portfolio you don't try to force one particular solution on the client you it sort of an it's the Pens sort of answer we could talk about that a little bit yeah sure so in the context of big data when we look at just let's start with transactional data right that continues to be the number one source where there is very valuable insights to be gleaned from it so the volumes are growing that you know we have retailers that are handling now 2.5 million transactions per hour a telco industry handling 10 billion call data detailed records every day so when you look at that level that volume of transactions obviously you need to be you need engines that can handle that that can process analyze and gain insights from this that you can get you can do ad hoc analytics on this run queries and get information out of this at the same speed at which this data is getting generated so you know we we announced the blu acceleration rate witches are in memory columnstore which gives you the power to handle these kinds of volumes and be able to really query and get value out of this very quickly so but now when you look at you know you go beyond the structured data or beyond transactional data there is semi structured unstructured data that's where which is still data at rest is where you know we have big insights which leverages Apache Hadoop open source but we've built lots of capabilities on top of that where we get we give the customers the best of open source plus at the same time the ability to analyze this data so you know we have text analytics capabilities we provide machine learning algorithms we have provided integration with that that customers can do predictive modeling on this data using SPSS using open source languages like our and in terms of visualization they can visualize this data using cognos they can visualize this data using MicroStrategy so we are giving customers like you said it's not just you know there's one hammer and they have to use that for every nail the other aspect has been around real time and we heard that a lot at strada right in the like I've been going to start us since the beginning and those that time even though we were talking about real time but nobody else true nobody was talking nobody was back in the hadoop world days ago one big bats job yeah so in real time is now the hotbed of the conversation a journalist storm he's new technologies coming out with him with yarn has done it's been interesting yeah you seen the same thing yeah so so and and of course you know we have a very mature technology in that space you know InfoSphere streams for a real-time analytics has been around for a long time it was you know developed initially for the US government and so we've been you know in the space for more than anybody else and we have deployments in the telco space where you know these tens of billions of call detail records are being processed analyzed in real time and you know these telcos are using it to predict customer churn to prevent customer churn gaining all kinds of insights and extremely high you know very low latency so so it's good to see that you know other companies are recognizing the need for it and are you know bringing other offerings out in this space yes every time before somebody says oh I want to go you know low latency and I want to use spark you say okay no problem we could do that and streets is interesting because if I understand it you're basically acting on the data producing analytics prior to persisting the data on in memory it's all in memory and but yet at the same time is it of my question is is it evolving where you now can blend that sort of real-time yeah activity with maybe some some batch data and and talk about how that's evolving yeah absolutely so so streams is for for you know where as data is coming in it can be processed filtered patterns can be seen in streams of data by correlating connecting different streams of data and based on a certain events occurring actions can be taken now it is possible that you know all of this data doesn't need to be persisted but there may be some aspects or some attributes of this data that need to be persisted you could persist this data in a database that is use it as a way to populate your warehouse you could persist it in a Hadoop based offering like BigInsights where you can you know bring in other kinds of data and enrich the data it's it's like data loans from data and a different picture emerges Jeff Jonas's puzzle right so that's that that's very valid and so so when we look at the real time it is about taking action in real time but there is data that can be persisted from that in both the warehouse as well as on something like the insides are too I want to throw a term at you and see what what what this means to you we actually doing some crowd chats with with IBM on this topic data economy was going to SS you have no date economy what does the data economy mean to you what our customers you know doing with the data economy yes okay so so my take on this is that there are there are two aspects of this one is that the cost of storing the data and analyzing the data processing the data has gone down substantially the but the value in this data because you can now process analyze petabytes of this data you can bring in not just structured but semi-structured and unstructured data you can glean information from different types of data and a different picture emerges so the value that is in this data has gone up substantially I previously a lot of this data was probably discarded people without people knowing that there is useful information in this so to the business the value in the data has gone up what they can do with this data in terms of making business decisions in terms of you know making their customers and consumers more satisfied giving them the right products and services and how they can monetize that data has gone up but the cost of storing and analyzing and processing has gone down rich which i think is fantastic right so it's a huge win win for businesses it's a huge win win for the consumers because they are getting now products and services from you know the businesses which they were not before so that that to me is the economy of data so this is why I John I think IBM is really going to kill it in this in this business because they've got such a huge portfolio they've got if you look at where I OD has evolved data management information management data governance all the stuff on privacy these were all cost items before people looked at him on I gotta deal with all this data and now it's there's been a bit flip uh-huh IBM is just in this wonderful position to take advantage of it of course Ginny's trying to turn that you know the the battleship and try to get everybody aligned but the moons and stars are aligning and really there's a there's a tailwind yeah we have a question on domains where we have a question on Twitter from Jim Lundy analyst former Gartner analyst says own firm now shout out to Jim Jim thanks for for watching as always I know you're a cube cube alum and also avid watcher and now now a loyal member of the crowd chat community the question is blu acceleration is helps drive more data into actionable analytics and dashboards mm-hmm can I BM drive new more new deals with it I've sued so can you expound it answers yes yes yes and can you elaborate on that for Jim yeah I you know with blu acceleration you know we have had customers that have evaluated blue and against sa bihana and have found that what blue can provide is is they ahead of what SI p hana can provide so we have a number of accounts where you know people are going with the performance the throughput you know what blue provides is is very unique and it's very head of what anybody else has in the market in solving SI p including SI p and and you know it's ultimately its value to the business right and that's what we are trying to do that how do we let our customers the right technology so that they can deal with all of this data get their arms around it get value from this data quickly that's that's really of a sense here wonderful part of Jim's question is yes the driving new deals for sure a new product new deals me to drive new footprints is that maybe what he's asking right in other words you traditional IBM accounts are doing doing deals are you able to drive new footprints yeah yeah we you know there are there are customers that you know I'm not gonna take any names here but which have come to us which are new to IBM right so it's a it's that to us and that's happening that new business that's Nate new business and that's happening with us for all our big data offerings because you know the richness that is there in the portfolio it's not that we have like you were saying Dave it's not that we have one hammer and we are going to use it for every nail that is out there you know as people are looking at blue big insights for her to streams for real time and with all this comes the whole lifecycle management and governance right so security privacy all those things don't don't go away so all the stuff that was relevant for the relational data now we are able to bring that to big data very quickly and which is I think of huge value to customers and as people are moving very quickly in this big data space there's nobody else who can just bring all of these assets together from and and you know provide an integrated platform what use cases to Jim's point I don't you know I know you don't want to name names but can you name you how about some use cases that that these customers are using with blue like but use cases and they solving so you know I from from a use case a standpoint it is really like you know people are seeing performance which is you know 30 32 times faster than what they had seen when they were not using and in-memory columnstore you know so eight to twenty five thirty two times per men's gains is is you know something that is huge and is getting more and more people attracted to this so let's take an industry take financial services for example so the big the big ones in financial services are a risk people want to know you know are they credit risk yeah there's obviously marketing serving up serving up ads a fraud detection you would think is another one that in more real time are these these you know these will be the segments and of course you know retail where again you know there is like i was saying right that the number of transactions that are being handled is is growing phenomenally i gave one example which was around 2.5 million transactions per hour which was unheard of before and the information that has to be gleaned from it which is you know to leverage this for demand forecasting to leverage this for gaining insights in terms of giving the customers the right kind of coupons to make sure that those coupons are getting you know are being used so it was you know before the world used to be you get the coupons in your email in your mail then the world changed to that you get coupons after you've done the transaction now where we are seeing customers is that when a customer walks in the store that's where they get the coupons based on which i layer in so it's a combination of the transactional data the location data right and we are able to bring all of this together so so it's blue combined with you know what things like streams and big insights can do that makes the use cases even more powerful and unique so I like this new format of the crowd chatting emily is a one hour crowd chat where it's kind of like thought leaders just going to pounding away but this is more like reddit AMA but much better question coming in from grant case is one of the themes to you is one of the themes we've heard about in Makino was the lack of analytical talent what is going on to contribute more value for an organization skilling up the work for or implementing better software tools for knowledge workers so in terms so skills is definitely an issue that has been a been a challenge in the in the industry with and it got pretty compound with big data and the new technology is coming in from the standpoint of you know what we are doing for the data scientists which is you know the people who are leveraging data to to gain new insights to explore and and and discover what other attributes they should be adding to their predictive models to improve the accuracy of those models so there is there's a very rich set of tools which are used for exploration and discovery so we have which is both from you know Cognos has such such such capabilities we have such capabilities with our data Explorer absolutely basically tooling for the predictive on the modeling sister right now the efforts them on the modeling and for the predictive and descriptive analytics right I mean there's a lot of when you look at that Windows petabytes of data before people even get to predictive there's a lot of value to be gleaned from descriptive analytics and being able to do it at scale at petabytes of data was difficult before and and now that's possible with extra excellent visualization right so that it's it's taking things too that it the analytics is becoming interactive it's not just that you know you you you are able to do this in real time ask the questions get the right answers because the the models running on petabytes of data and the results coming from that is now possible so so interactive analytics is where this is going so another question is Jim was asking i was one of ibm's going around doing blue accelerator upgrades with all its existing clients loan origination is a no brainer upgrade I don't even know that was the kind of follow-up that I had asked is that new accounts is a new footprint or is it just sort of you it is spending existing it's it's boat it's boat what is the characteristic of a company that is successfully or characteristics of a company that is successfully leveraging data yeah so companies are thinking about now that you know their existing edw which is that enterprise data warehouse needs to be expanded so you know before if they were only dealing with warehouses which one handling just structure data they are augmenting that so this is from a technology standpoint right there augmenting that and building their logical data warehouse which takes care of not just the structure data but also semi-structured and unstructured data are bringing augmenting the warehouses with Hadoop based offerings like big insights with real-time offerings like streams so that from an IT standpoint they are ready to deal with all kinds of data and be able to analyze and gain information from all kinds of data now from the standpoint of you know how do you start the Big Data journey it the platform that at least you know we provide is a plug-and-play so there are different starting points for for businesses they may have started with warehouses they bring in a poly structured store with big inside / Hadoop they are building social profiles from social and public data which was not being done before matching that with the enterprise data which may be in CRM systems master data management systems inside the enterprise and which creates quadrants of comparisons and they are gaining more insights about the customer based on master data management based on social profiles that they are building so so this is one big trend that we are seeing you know to take this journey they have to you know take smaller smaller bites digests that get value out of it and you know eat it in chunks rather than try to you know eat the whole pie in one chunk so a lot of companies starting with exploration proof of concepts implementing certain use cases in four to six weeks getting value and then continuing to add more and more data sources and more and more applications so there are those who would say those existing edw so many people man some people would say they should be retired you would disagree with that no no I yeah I I think we very much need that experience and expertise businesses need that experience and expertise because it's not an either/or it's not that that goes away and there comes a different kind of a warehouse it's an evolution right but there's a tension there though wouldn't you say there's an organizational tension between the sort of newbies and the existing you know edw crowd i would say that maybe you know three years ago that was there was a little bit of that but there is i mean i talked to a lot of customers and there is i don't see that anymore so people are people are you know they they understand they know what's happening they are moving with the times and they know that this evolution is where the market is going where the business is going and where the technology you know they're going to be made obsolete if they don't embrace it right yeah yeah so so as we get on time I want to ask you a personal question what's going on with you these days with within IBM asli you're in a hot area you are at just in New York last week tell us what's going on in your life these days I mean things going well I mean what things you're looking at what are you paying attention to what's on your radar when you wake up and get to work before you get to work what's what are you thinking about what's the big picture so so obviously you know big data has been really fascinating right lots of lots of different kinds of applications in different industries so working with the customers in telco and healthcare banking financial sector has been very educational right so a lot of learning and that's very exciting and what's on my radar is we are obviously now seeing that we've done a lot of work in terms of helping customers develop and their Big Data Platform on-premise now we are seeing more and more a trend where people want to put this on the cloud so that's something that we have now a lot of I mean it's not like we haven't paid attention to the cloud but you know in the in the coming months you are going to see more from us are where you know how do we build cus how do we help customers build both private and and and public cloud offerings are and and you know where they can provide analytics as a service two different lines of business by setting up the clouds soso cloud is certainly on my mind software acquisition that was a hole in the portfolio and that filled it you guys got to drive that so so both software and then of course OpenStack right from an infrastructure standpoint for what's happening in the open source so we are you know leveraging both of those and like I said you'll hear more about that OpenStack is key as I say for you guys because you have you have street cred when it comes to open source I mean what you did in Linux and made a you know great business out of that so everybody will point it you know whether it's Oracle or IBM and HP say oh they just want to sell us our stack you've got to demonstrate and that you're open and OpenStack it's great way to do that and other initiatives as well so like I say that's a V excited about that yeah yeah okay I sure well thanks very much for coming on the cube it's always a pleasure to thank you see you yeah same here great having you back thank you very much okay we'll be right back live here inside the cube here and IV IBM information on demand hashtag IBM iod go to crouch at net / IBM iod and join the conversation where we're going to have a on the record crowd chat conversation with the folks out the who aren't here on-site or on-site Worth's we're here alive in Las Vegas I'm Java with Dave on to write back the q

>>Come back here. This is Silicon Valley coverage of ADU Summit. I'm John Fur, the founder. We're, we're pleased to have a friend inside the cube. It's rare to have such luminaries, Ama Aala, good friend and also co-founder of Cloudera. Really the pioneer in the space that helped build this industry that we're living here at at Hadoop Summit. I'm with Dave Ante from wiba.org. Amour, welcome back to the Cube Cub alumni. Thank you for having me here. Wow, what a journey. Are you co-founded Cloudera? I remember when you in Stealth Mo, I really can't talk about it. And, and then of course the history of Silicon Angle being, you know, founded and kind of built in in your office when you only had like 20 something employees. Yep. We owe a great deal of gratitude to you and, and congratulations to you Michael Olson, the team for building an industry. So I just wanted Thank you. Thank you. And welcome to the Cube. >>Thank you. It was great to be here. >>So what do you think, what's your take on the current Hadoop ecosystem right now? I mean, obviously a lot's happened. I mean it's big now. It's growing up fast. Yeah. The word enterprise grade is out there. You're seeing it move from, you know, trying to change the world. Our first interview, you said, I've seen the future, I want to bring it to the mainstream. It's here. Yeah. It's hitting mainstream right now. Yeah. What's your take of the current situation of the ecosystem and it's, and its value? >>Yeah, so I, I have a quick question first. Should I look to you or look to the camera? Look to >>The camera or both? Whatever you, whatever you'd like. >>So I think it's, the ecosystem is definitely growing, which is very, very healthy. However, there is a side question there, which is what do you think of all the competition coming into the space? So five years ago when Cloudera was started was just Cloudera. There was no other commercial vendor trying to support or enable Hadoop in the, in the industry for enterprises. And today there is at least 10 of them trying to compete with us, right? And that includes big companies, established companies that decided, hey, we gonna start addressing the space, but includes many, many newcomers who like Hortonworks, who were founded over the last couple of years. That's a healthy thing. I mean, that's absolutely a sign of a growing market. If the market wasn't growing, if there wasn't money in the market, if there wasn't, if it was just hype, there wouldn't have been all of these new companies and new ventures showing up. That said, I never look at competition as something that worries me, that I'm afraid now or what's gonna happen to me, or that's normal. That's exactly what happens to successful companies. If you look at Red Hat, when Red Hat was launching with the Linux, they had 25 competitors or even more 30 competitors. That's when Red Hat was forming out. And today, even of these 25, 30 competitors, they still have six or seven still left. So I think it's a very, very healthy sign of the graph of this market and the maturity that's reaching. >>What do you think about some of the, the white spaces that are evolving? You guys have obviously been involved in a lot of deployments at Cloudera. Again, you're doing a lot of, lot of work with the top, top names and the clients that you have aren't usually disclosed cuz you really can't disclose them. What, what are you seeing right now as the white spaces for things to do in the Hado platform? >>It's a very, very good question. So first I can't talk about future, future roadmap. Right now we're becoming a big company at that level where we can't comment on future roadmaps. >>Ah, that's sinus sign of the >>Time. You're well media train, good to see they're doing a good job keeping you >>A, You want more information on that? I can connect you with a pt, >>Please. No, no, no, we're good. We're good. We'll get it outta you. But, >>But our vision, our vision for Cloudera from day one, like you were saying earlier, we saw the future, right? So our vision from from day one was really to build this data system where we can have detail of any type, whether that data is structured or unstructured or images, it doesn't matter. And then on top of that data run any type of workloads. That workload could be the initial genesis of Hado, which is map use, which is batch processing. But now as as we made many announcements through the last few years, we also now have Impala for interactive analytics as a workload. We have a very, very strong partner partnership with SaaS for doing machine learning and statistics as a workload. And a few weeks ago we announced search as another workload. So you have multiple types of workloads that can handle different types of problems that you have within your organization and bring all of these workloads to all of your data regardless of type. And that's the vision that we'll continue to deliver on. That's exactly what we're building going into the >>Future. So how's that fit in with yarn, right? We're hearing a lot at this conference about yarn, the ability to, you know, do more with less in a lot of the things that you typically hear with the enter within the enterprise. And, and so talk about that a little bit. >>Yarn is a very core part to our platform. In fact, yarn has been part of CDH four for more than a year now out in the, in the markets. So we did bring, we were one of the, I think we were the first vendor who brought yarn into a distribution of Hado out there. It's very, very fundamental to us because that is how we're gonna coordinate. We are gonna be using yarn to coordinate launching all of these different type of workloads. You're gonna have the map produce workload, which is very batch oriented. The Impala workload, which is very latency sensitive. The, the search workload, which is also very latency sensitive. The machine learning workload, which is more batch oriented, et cetera, et cetera. And yarn is a very, very central piece to helping us coordinate all of these different types of workloads onto the >>Platform. Cloudera has been a great citizen in the community also. You, you mentioned and, and we witnessed that your team create the industry. You guys were there, you took the chance, you were the first ones commercially funded by the venture capitalists, you know, then others will follow and I'll see huge ecosystem here. Yes. A lot of noise. A lot of people trying to get attention. So I got to ask you, because I want you to address this because I know it's been talked about in some of the other blogs is there's a lot of fud going on around who's doing what? Who's doing what, and in some cases maybe flat out, you know, misinformation and that happens in a growing market, you know, the elbows get sharp. Yes. So I want you share with the audience anything that you want say about the fud around what people say about Cloudera or about others or what you're doing. Just to clarify, cuz there has been, I mean I've gotten back channel information around, you know, not sure the committers this, and it's been, it's been well documented. There's a lot of fu out there. What, what would you say to the folks out there to clarify >>That? Yes, I, I would say that our focus should be to continue to work as a community, to push the platform forwards. I would say that at Cloudera we do a lot of contributions. Horton works definitely is one of the top contributors out there as well. I'll acknowledge that. So as many, many, many other companies and we wanna continue to see the platform evolve. I will stress though that at Cloudera we do have a number of the original project founders working at the company. So it's not just the, the contribution that we bring, but the fact that we have the founders of these projects working at Cloudera. And some of these projects actually were created at Cloudera from day one as opposed to created in some other company. And then you hire the employee and they work for you. So I gave you what examples from Cloudera dot cutting. >>He is the creator of Hudu dot Cutting is also the creator of Luine, which became solar, which is part of the search project that we launched recently. Dot Cutting wasn't with Cloudera from day one, right? So, so when he created these technologies, he actually was at Tia for example, when he created had he was at ta, wasn't at Cloudera. However, he now works for Cloudera. So we get that because now that cutting works for Cloudera. So that's one example. On the flip side, there is projects like Flume and Scoop that are now part of every single distribution out there. And flu and Scoop were both created at Calera. They were actually created inside of Cloudera. Yeah. So the key point is, and and that's what I would like all of the vendors out there that are trying to leverage had and get benefit about out Hadoop is please don't be just takers. >>There are some vendors out there who are just takers. Just wanna take from the open source, take from the open source and don't give back. Right? I'm not gonna name them, but there is a few of them out there. Please, please, please. I mean that that, that is very, very a selfish behavior. It's not gonna help the ecosystem in the long term. We would like to see you both take and give at the same time. So that would be my core message. And that's for example, like I thank Hortonworks because that's exactly what Hortonworks is doing. They're both giving and taking at the same >>Time. You guys have always been clear on that. Nobody, I mean here contribution to open source has been well documented and there's, there's no question about that. John and I have talked about it a lot that you guys help get it all started. And even Haak when we had 'em on a couple years ago, when Horton Works came to the market said, Hey, the more people work on an open source, the better. >>Yeah, >>Exactly. So yeah, it's always been, been your posture. You're not playing games there. Anyways, having said that, you you, you have a strategy to layer on top of that open source some of your own proprietary code. And so you have choices to make Yes. In terms of how you allocate those resources. So as an engineering manager, how do you allocate those resources in terms of, okay, what do we do for the community and what do we do for our own, you know, future because of the business model that we chose? How do you make those trade offs? >>Yes, that's a very, very good question. So first it's important to stress that our core platform, CDH, is open source. Everything we put in the core platform is open source. So for example, in Palo, which we launched very recently as a ga, now we launched beta last year, but now's ga is a hundred percent Apache license, a hundred percent open source search, which we announced very recently is also open source. So the platform itself, we're committing to everything in there to be open source. Now we believe fundamentally just from having lots of history in studying the open source markets from our ceo Mike Olson himself being one of the very first open source people in the world with, with sleepy cats, the company that he sold to Oracle before founding Cloudera from our investors, helping many other open source companies. To have a successful open co open source company, you need to have a very good engine between the business model that generates revenue and between the product that you are creating. If you don't have a good feedback loop there between these two, you won't be able to sustain the innovation to continue to push the, the boundaries of how good the product is. So we strongly believe in that if you are, if your product is literally a hundred percent open source, meaning both the management and every, there is nothing proprietary whatsoever inside of your products. I can't tell what that is. It's >>Taking a picture. >>Oh, sorry, I thought somebody was waiting >>For me. >>Sorry about that. >>It's a cheap signal. >>It >>Was like a's really good. >>I thought it's like a card of paper with some writing. You, >>You, you have a fan fans out there. They're storming the, the concert here. >>Okay, that's, that's good to hear. That's good to hear. Sorry about that interruption. So if, if, if you have everything a hundred percent open source, that creates two problems. First you have no differentiation whatsoever, meaning another big corporation without naming who the big corporations could be, we just can take everything you do, literally every single bit of source code you have and say, Hey, we can do it too. Come to us, don't work with those guys. Right? We have the latest, greatest things that they have. Why do you wanna continue to work with them? So no, no differentiation is number one, which is very dangerous. And number two, when it becomes, if, if it's a hundred percent open source and there is lots of other vendors able to take the art, the open source artifact and work with it, then it becomes now purely about maintenance and insurance on the products, which is a commodity product, which obviously the prices for that will go down to the ground and you won't be able to have this sustain this positive feedback effect between your business model and between your product code map and won't be able to build a long-lasting company. >>So that's why we do have a combination of open source artifacts and proprietary artifacts. Now our pro proprietary AR artifacts is always around the management of the system, right? So how do we manage the security of the system? How do we manage the, the data flow within the system? How do we manage the services inside the, of the system across all layers, right? Not just the Hado player but the edge based layer, the zookeeper layer, et cetera, et cetera. So that's where we focus our efforts going forward and that's how we differentiate ourself from our, from other vendors out there. Cloudera manager, Cloudera navigator are very unique to us. Nobody else has anything close to those capabilities out there. >>So it sounds like the contributions you make to open source are cultural of, of, in nature, I mean DNA of sorts of Right. And so you're, that's something that you guys do cuz you've always done it. Absolutely. And then the, the artifacts that are proprietary are essentially around rationalizing the revenue opportunity with the expense that you're gonna apply there and making a business case decided >>How to balance. That's that's one. And then two, the differentiation from other competitors. So these two things, Yes. >>Okay. >>I believe that's fundamental to business to open source business models. >>Yeah, I mean there are many open source business models, right? You can go pure service, you can go, like you said, you can totally bogart the code. >>There is no, there is no pure service open source model company that was able to build the longlasting surviving public company, never happened in history. They always get acquired because it becomes a commodity. I >>Mean, right. I mean, I mean and even ibm, right? >>Tom or I want to ask you about the storage thing. We were talking before camera, the, the hor and worst announcement storage you, what's your take on that? >>Which one? The Gluster, the one with Red Hats? Yes. Yes. So Red Hats and yeah, there has been recent news about Red Hat with, with Hor Works having a version of the Haddo platform that uses map use for the computation but uses Red Hat for the storage, right? So Red Hat has a new storage offering that was built based off of a company they acquired was called Guster. And that, that news was very, very surprising to me. And it, the reason why it was surprising, it's correlated also with a shift in messaging from, from Horton works. If you look at Horton Works last year at had Summit last year, one of the key messages that they deliver to us is that within the next five years or by 2015, the tagline back then by 2015, and you're doing research right now to see if I'm saying the right thing. By 2015, half the world data data will be on, will be stored in had would be stored in had. Yes. If you look today at the slides, it >>Doesn't say that it says within five years, >>Right? No, no, no. It says, well >>That was the second iteration was within five years. And now they say something >>Different. Now say they say within 2015 by, sorry, by 2015, half the world's data will be processed by Hado and instead of stored by Hado. And that's a very, very fundamental So >>It's a nuance. >>It's a, it's a very important >>Nuance. Well it's a big deal because yes, when I first saw that I said, Hmm, what does this all mean? And then it sounds 2015 sounds a little early. Yes. And now you're saying processed by, Okay that's different. >>Yes, exactly. And and the reason why now is we believe s GFS is very, very core to the had platform. S GFS is very core to had platform, the storage system of had we want. It's really the layer that Mid had with is more than anything else is how scalable, how reliable and how economical the sdfs storage layer is. So we, we really, I mean ask qu works and ask all the companies working in the, in the had community not to fragment at the storage layer. We need the storage for had to stay inside of had and not to fragment that out. That's very, very critical. >>Okay. So but so >>You're saying that they're in indicating through the gesture that, that they're not come out saying we're going to fragment Hgfs, but the way that this is position might signal >>No, no, no. The announcement, the announcement with Red Hat is >>That is the direct signal. It's >>Literally, we, you'll be able to run map produce directly on top of Red Hat storage instead of sdfs. >>Okay. So >>I >>Interpreted it, I interpret it as they were just hortonwork was hedging on its prediction, which I said Okay, I'll give 'em a break on that. You're saying it's something different, >>It's a shift in strategy potentially. Yeah. Which can be dangerous. It's shift in strategy. >>Is that a compliance issue? Cuz you know, the, the Dishon Hads poss Yeah. Red Hat does have a lot of enterprise customers. Yeah. So is that just maybe if >>Then invest in making had poss compliance, which actually by the way, we are as a community investing in that. Yeah. Yes. You must have. Yeah. So we are investing in adding compulsive poss compliance to had, we're investing in adding snapshots into had, which will be coming very, very soon overnight. >>Well, do you think that that pick a year, I don't care if it's 2015 2000, 22,000 whenever that the majority of the world's data will be running into do >>The majority of worse data that has to do with analytics. Yes. Okay. So so there is, >>So that is that >>Is it's very important, the caveat. Yes, exactly. Because there is lots of types of data that are not very suitable for, had at all. For example, that data storage for Oracle systems, for Oracle database systems. No, you wanna store that in an NetApp emc you don't wanna store that in Hao the, the, the, the, the data storage for streaming video files, right? For just streaming lots and lots of video files. No, you don't wanna store that indu. It's >>A huge >>Proportion of the data. Yeah. Which is a huge, huge >>Proportion of data files, in fact that could overwhelm the data. >>Yeah. So the new nuance, like I would say like I agree that the half thing but the half thing within the world of data for the purpose of analysis. >>Yeah. Okay. So that's, that's >>Narrow down the >>Yeah, okay. But it's a more reasonable, But I've, I >>Never, It's still a huge market by the way. It is. Yeah, >>It is. Yes. Okay. So, so what's next for you? A are you, you, you've gone on this, this journey, you start this company. You've, you've been traveling around like crazy working with customers. What's the next phase of aara do's, you know, career? >>What >>Do you want to have happen next? I mean, what, what do you, what excites you? What do you, what are you working on? >>Yeah, it's just to continue to grow cloud there to be the biggest company it can be. I mean, we want to be literally, we want be one of the very few companies that we're able to take an open source model and turn that into a large publicly traded corporation. >>So you've talked about that you guys brought a new CEO on Right. Look at the background of the ceo and it's, you know, clearly it's got some IPO chops. Yes. So that's, that's an aspiration that you guys have put forth. Okay. >>And you're outward facing now. So you're doing a lot of travel. Yes. So what, what, where have, what have your travels taken now? You've been in China, you obviously you've got a European office Yeah. Open. So what's going on internationally? Give us some sound bites of, of what's happening in the field. Yeah, >>So in, in internationally, I mean, Europe definitely is our next big focus right now. And we now have a big operation in Europe and we have an office presence in, in Europe and a big team down there. And it's growing very quickly. I would say Europe is about two years behind the US kind of like that's how the, how the growth usually matters. What's happening here. And yeah, so we, our, our next big market is Europe. We are looking at China. We don't have a big process in China right now. Japan, we have a big presence in Japan. Japan is growing very quickly. So yeah, I mean we're obviously Canada with the US growing very quickly as well. >>Great to have you on the cube again, for me personally and, and for, for Dave. And I wanna say thanks to Cloudera for some great support over the years. You guys have been fantastic. You know, I say it's built a great company. It's so hard to build a company. You guys have done a great job. I gotta ask you the final question because you did bring that first sound bite, which was, I saw the future, this is back when you guys were just in your B round in, in Palo Alto office, just ramping up, just starting to ramp what's next? What do you see as around the corner? Obviously we're on a trajectory right now. A lot of things gonna get done. Positive compliance, a lot of stuff's gonna fill in. The platform's gonna get stronger. Yeah. We think that open source will win. Yeah. Through all the democratization of open source. What's next? What's the, what's around the corner that you're watching personally that you're, that's interesting to you? A or around where this will take us? >>Yeah. So what, what's next is having this, having this vision become true. Having this future vision that, that you refer to become true. Meaning having a single platform that can store all of your data and that can, regardless of the type of that data, and allow you to extract value for different types of workloads, whether that be batch, interactive machine learning or search or more, right? There will be more things that will come to the platform, but how to bring your applications, all of your data applications, how to bring them to your data and all of your data as opposed to have the data go to them. >>And what are the landmines out there that you need to avoid Yes. In the industry and community needs to avoid to make that a reality. >>The, the key landmine, it's, it's a bit technical. The landmine is a bit technical, which is making sure that they, they are vision continues to evolve and that we have the capability to properly have a multi workload resource management system that allows me to run all of these type of workloads without having them step on each other's steps. That's the key key step going forward. And >>Of course, playing well together in the sandbox. And as always, competitive competition is good. And again, Hadup is doing great. Amma Aala, co-founder of Cloudera inside the Cube. This is Silicon Angle and Wiki Bond's exclusive coverage of ADU Summit here in Silicon Valley. Right back with our next guest after the short break.