>>Welcome back to the cubes. Continuous live coverage of AWS reinvent 2021 live from Las Vegas. It's I'm Lisa Martin. And it's so great to say that we are doing with AWS and its massive ecosystem of partners. One of the most important hybrid tech events of the year. We've two sets over a hundred guests to remote studios, lots going on. I've got an alumni back with me and a new guest. Please. Welcome back. Sabina. Jo said the GM of technology partners at AWS and Neil Fowler joins her is the GM of micro-focus AMC. And you're going to tell me what AMC stands for >>Application modernization and >>Connectivity. I love it. Awesome guys. It's great. It's great to see you again in person. Thank you for having us. It's great to have the buzz. I know it's gonna be a little bit hard to hear, but great to have. AWS has done a phenomenal job of getting everyone in here safely. I want to give them kudos to that. So being to talk to me with, it's been a while since I've seen you in person, but talk to me about your current role at AWS. What's going on? >>Yeah, so I'm the general manager for technology partnerships globally out of the Americas. We also help partners out of EMEA and APAC grow in the Americas. And one of the great examples of a successful partnership is micro-focus with their solutions across application modernization security, database services, mainframes. >>And so from your perspective, through your lens, how do you think they're performing as a partner? Yes. >>So, um, first of all, kudos to Neil and the entire micro-focus team. They have done a great job leaning in with a cloud first strategy with SAS solutions on AWS and these solutions help customers across application modernization, application, delivery, security, cyber resiliency, database services, and also it performance management. And we've been working with them now for a few years. And in fact, today we have actually 400 customer wins together regulations and then also eight digit annual recurring revenue. They have six active listings in marketplace and all of this is really helping customers move their workloads and modernize their workloads into AWS. >>We've seen that such an acceleration nail in the digital transformation cloud adoption. The pandemic has really been a forcing function for that. There are some silver linings, but talk to me about some of the things that you've seen at micro-focus the last 20 months or so. And how have you helped those 400 customers, you know, getting to that big ARR, how are you helping them with that acceleration? >>Well, I think as you're saying that there's lots of changes in the last 12 to 18 months, some of it brought on by the pandemic and the change in business in business to having to respond, deliver solutions more quickly to the market, as well as remote working. So optimizing and the economic environment of costs, but being there to be more dynamic, it really has caused businesses to have to do something different than just to be able to survive and serve their customers better. That was a >>Big thing that we saw in the very beginning. It was not survival mode. And then of course it wasn't too long when we started seeing those survivors really start to thrive. And you started seeing who were going to be the winners of tomorrow. Cause the thing is every company, these days is a data company. If it's not, it's going to be passed up by competitor, that's right there in the rear view mirror. >>For sure. And so we've got, you know, organizations, so running mainframes, you know, older applications, legacy applications, modernization, where are most industries in terms of adopting that, the mindset, first of all, that they need to change? Well, I think across the whole industry, I mean, it doesn't matter whether it's retail. I mean, if you think about airlines with when the, when the pandemic hit business went down to, unless they've got that elastic nature of flashy to respond to it, but everyone had to bring in new services, new offerings very quickly. So the ability to be able to innovate in their environments and bring more solutions to their customers in a really fast way, you know, they couldn't just sit there and work with what they had. They had to move forward just to be able to stay in the business, but also be able to reduce the costs out of what they're trying to do. So running and transforming at the same time. >>Absolutely. And so how can organizations integrate existing core applications with new technologies to really be able to thrive in today's dynamic market? >>We look at modernization overall. We think of it in sort of three different ways with application process and infrastructure. So with a move to cloud, that's the infrastructure modernization they've immediately got far more access to more scalable dynamic elastic, compute resources, as well as all the technology platforms they have around. And then if you look at the application size and that's where the Microfocus platform comes in, we can help customers actually move those applications forward in terms of making them available through API APIs, maybe as a journey to microservices and cloud native. But once that core business logic and that data is available, it can be integrated into artificial intelligence machine learning and actually rained out the whole solution. So the final part of that from the process modernization, if you, as they're developing these applications with new tools, new ranges, in terms of where they can deploy on the AWS platform, they can automate the build deployment and operations so that all those existing applications and they were running on to contemporary platform with full access to the technologies that were available. >>That's fantastic and so necessary for businesses in any industry. So can you talk about some of the different business units of micro-focus? Are there any ones in particular that you want to call out? >>Yeah, so we work with them across all of their business units, but some of them that come to my mind is of course, Neil and team are doing a great job with application modernization and connectivity, really helping customers modernize the applications. And as customers are modernizing the applications, their cyber resiliency business unit is helping customers secure those applications. And then they also have their it operations management bridge product listed in marketplace. And then just since September are verdict a business unit launch Vertica accelerator on AWS. So I think they have a very holistic story to help customers >>On AWS. Talk to me a little bit, Neil, about cyber resiliency. We have seen such a dramatic change in cybersecurity in the threat landscape the last 20 months. I think I saw a stat recently that ransomware was up almost 11 X in the first half of 2021. Every, every day that companies had had a company, that data is gotta be secure. It's no longer a nice to have. That is a core requirement. How are you helping customers achieve that cyber? >>Well, the thing is, I mean, as you say, across the whole spectrum from cyber, from, from the identity access management through data encryption, through data protection, it's not, it's not a nice to actually say it's not a nice to have Kate take capability. You really have to have an integrated solution to be able to manage access control it, and also generating the events in terms of being able to, if anyone tries to get into the systems and log it because, you know, before, by the time you've discovered something it's too late, so you really need a combined solution for multi-factor authentication to really take it to that next level. >>Absolutely. Right. Once you've detected it, it's too late. And I mean, with ransomware as a service, cyber criminals are getting so much more sophisticated and also more brazen. There's so much money in it that the security front is, is I think even more interesting now than it's ever been. Talk to me about some joint customers and how you've helped them together with AWS with micro-focus achieve some of those key outcomes that you were talking about earlier. Well, I think >>Obviously with AWS as a platform has quite over a technology solutions going in, what we often find with our customers is a lots of, um, they're coming from an existing on-prem solution. So they need that hybrid model. So as part of taking that forward, been able to have that integrated solution that allows them to work both on-prem and as part of the cloud, most of it all being hooked up now, even that from even down to the, uh, as they're developing the applications now to do static code analysis, to help those applications be more secure with things like 40 pound demand, as well as integrating internet security platform for multifactor. So I think as you know, it's a combination of Brunel to bridge between all the different technologies, but have one single view of mail to protect the whole real estate, multiple layers for both external and internal threat. So that's, that's the other thing you also need to take into and can be able to protect all, all layers multi-layered approach. >>Absolutely. But you're right. The internal threats is something that we don't talk about as much, but that is obviously a substantial problem for organizations and most, if not any industries to be, to talk to me a little bit about, let's kind of get into the, the responsibilities that you have a little bit more in there. You've got responsibility for multiple solutions segments at AWS. You told me before we went live, you have 50 meetings this week. My goodness. And since day one, it taught all good. It's fun, fun. It is. Talk to me about AWS approach to partnering. What does it look like? What are some of the things that you think are really critical components? Yeah. >>So as you may have heard, we always start with the, at Amazon and AWS, we start with the customer. We work backwards when we are relaunching our products, our programs or services, you really go and ask the customers, what do you want us to develop? Where do you want us to focus the resources? It takes a lot of discipline to do that, but it's something that where we really want to walk the talk and we use the same approach with our partners when we started to work with micro-focus, we really kind of want to make sure that what we are working on together is what customers want, because we firmly believe that once you lay that foundation of that solution, you can scale your business a lot more quicker. Your story is a lot more simple and the customers are going to find a lot of value in what you are doing together. So it's really all about the customer for us. It is >>Absolutely critical, right? That's the whole point that the whole reason that we're here now, talk to me a little bit about maybe some cultural alignment with AWS, that customer first customer obsession. It sounds like at Microfocus, very similar. >>Absolutely. I mean, the way that we always think about how we're building our products, it's all around customer centric innovation. So that aspect of trying to make sure that we can solve what the business, understanding what the customers are trying to do to then help develop, to deliver solutions that meet that and that combination of a, the way that we look at it from that infrastructure modernization and the range of technologies that are available and that relentless focus on making customer successful is so key. But we have to make sure that that collaboration works together to make sure that the solutions align and we're helping customers get there together >>In your customer conversations. I imagine they've changed quite a bit during the pandemic with so many things being escalated to the C-suite to the board. How have your, how important is that cultural alignment between AWS and Microfocus from your customer's perspective? Is it something that comes up fairly often? Well, >>It's, it's a, I think it, when you actually get a mismatching culture, it's more obvious. So don't think that necessarily people are looking for it to say, I need organizations, but if you're not thinking the same way, you're not behaving the same way and actually partnering. I think that partnering part of it is really important because you're both working together to come up with that desired outcome. So I think it's more, more obvious when it isn't a good match as opposed to what it looking for that particular site. But I think that's a really key aspect in the sense of working together to help that customer be successful. >>Right? That's a great point that you bring up, but it's probably more obvious when it isn't working than when it's beautifully aligned, falling into place and really focused on that customer. So what are some of the things that attendees can, can feel and see and learn at the micro-focus booth at this year's reinvent nail, >>As well as obviously the key Roundup application modernization, where we're looking at the mainframe modernization on the site, we've got the full range of the Microsoft booth in terms of cyber resilience, as well as our, uh, item, my top, uh, it operations management or ADM portfolios. So we've got a lot of technologies which we can learn about in the booth interactive as well as all by experts to understand how we can do all these things and work together as part of the AWS platform to be able to deliver those solutions. >>Excellent. I'm sure there will be plethora of, of knowledge shared at the booth there. Last question, Neil, for you, talk to me about the vision going forward with the partnership. What are some of the things that you're looking forward to as we end 2021 and go into hopefully what is a better year, 2022? >>You know, one of the key things, you know, especially range, no one might, my passionate areas is helping our customers really look in terms of building the platform of the future. We can help solve their customer the problems today, but we're really trying to create that innovation platform to going through. So again, that combination of the technologies that we can bring to help our customers and the breadth and the investment that AWS continue making in the platform, those two combinations really helps us help our customers, not just solve today's problems, who really move into the forward to be the platform for innovation for the next decade. >>And that's really critical that that future ready state that is so undefined most of the time, I mean, none of us saw the pandemic coming, all right. That was a complete shock, but to be able to partner together, to help your customers really set up the foundation to be innovative as things happen that we can't even predict is really critical. So congratulations on your 400 customer wins your eight digit ARR. That's fantastic. Yes, we thank you so much for joining us on the queue, talking about the Microfocus AWS partnership and all of the successes that you guys have had. Great job. And I hope that you have cough drops and a lot of water this week. Sabina. I hope you do too guys. Thanks for joining me. Pleasure for my is I'm Lisa Martin. You're watching the cube, the global leader in live tech coverage.

(upbeat music) >> Announcer: It's theCUBE covering the virtual Vertica Big Data Conference 2020 brought to you by Vertica. >> Welcome back to the Vertica Virtual Big Data Conference, BDC 2020. You know, it was supposed to be a physical event in Boston at the Encore. Vertica pivoted to a digital event, and we're pleased that The Cube could participate because we've participated in every BDC since the inception. Rich Gaston this year is the global solutions architect for security risk and governance at Micro Focus. Rich, thanks for coming on, good to see you. >> Hey, thank you very much for having me. >> So you got a chewy title, man. You got a lot of stuff, a lot of hairy things in there. But maybe you can talk about your role as an architect in those spaces. >> Sure, absolutely. We handle a lot of different requests from the global 2000 type of organization that will try to move various business processes, various application systems, databases, into new realms. Whether they're looking at opening up new business opportunities, whether they're looking at sharing data with partners securely, they might be migrating it to cloud applications, and doing migration into a Hybrid IT architecture. So we will take those large organizations and their existing installed base of technical platforms and data, users, and try to chart a course to the future, using Micro Focus technologies, but also partnering with other third parties out there in the ecosystem. So we have large, solid relationships with the big cloud vendors, with also a lot of the big database spenders. Vertica's our in-house solution for big data and analytics, and we are one of the first integrated data security solutions with Vertica. We've had great success out in the customer base with Vertica as organizations have tried to add another layer of security around their data. So what we will try to emphasize is an enterprise wide data security approach, where you're taking a look at data as it flows throughout the enterprise from its inception, where it's created, where it's ingested, all the way through the utilization of that data. And then to the other uses where we might be doing shared analytics with third parties. How do we do that in a secure way that maintains regulatory compliance, and that also keeps our company safe against data breach. >> A lot has changed since the early days of big data, certainly since the inception of Vertica. You know, it used to be big data, everyone was rushing to figure it out. You had a lot of skunkworks going on, and it was just like, figure out data. And then as organizations began to figure it out, they realized, wow, who's governing this stuff? A lot of shadow IT was going on, and then the CIO was called to sort of reign that back in. As well, you know, with all kinds of whatever, fake news, the hacking of elections, and so forth, the sense of heightened security has gone up dramatically. So I wonder if you can talk about the changes that have occurred in the last several years, and how you guys are responding. >> You know, it's a great question, and it's been an amazing journey because I was walking down the street here in my hometown of San Francisco at Christmastime years ago and I got a call from my bank, and they said, we want to inform you your card has been breached by Target, a hack at Target Corporation and they got your card, and they also got your pin. And so you're going to need to get a new card, we're going to cancel this. Do you need some cash? I said, yeah, it's Christmastime so I need to do some shopping. And so they worked with me to make sure that I could get that cash, and then get the new card and the new pin. And being a professional in the inside of the industry, I really questioned, how did they get the pin? Tell me more about this. And they said, well, we don't know the details, but you know, I'm sure you'll find out. And in fact, we did find out a lot about that breach and what it did to Target. The impact that $250 million immediate impact, CIO gone, CEO gone. This was a big one in the industry, and it really woke a lot of people up to the different types of threats on the data that we're facing with our largest organizations. Not just financial data; medical data, personal data of all kinds. Flash forward to the Cambridge Analytica scandal that occurred where Facebook is handing off data, they're making a partnership agreement --think they can trust, and then that is misused. And who's going to end up paying the cost of that? Well, it's going to be Facebook at a tune of about five billion on that, plus some other finds that'll come along, and other costs that they're facing. So what we've seen over the course of the past several years has been an evolution from data breach making the headlines, and how do my customers come to us and say, help us neutralize the threat of this breach. Help us mitigate this risk, and manage this risk. What do we need to be doing, what are the best practices in the industry? Clearly what we're doing on the perimeter security, the application security and the platform security is not enough. We continue to have breaches, and we are the experts at that answer. The follow on fascinating piece has been the regulators jumping in now. First in Europe, but now we see California enacting a law just this year. They came into a place that is very stringent, and has a lot of deep protections that are really far-reaching around personal data of consumers. Look at jurisdictions like Australia, where fiduciary responsibility now goes to the Board of Directors. That's getting attention. For a regulated entity in Australia, if you're on the Board of Directors, you better have a plan for data security. And if there is a breach, you need to follow protocols, or you personally will be liable. And that is a sea change that we're seeing out in the industry. So we're getting a lot of attention on both, how do we neutralize the risk of breach, but also how can we use software tools to maintain and support our regulatory compliance efforts as we work with, say, the largest money center bank out of New York. I've watched their audit year after year, and it's gotten more and more stringent, more and more specific, tell me more about this aspect of data security, tell me more about encryption, tell me more about money management. The auditors are getting better. And we're supporting our customers in that journey to provide better security for the data, to provide a better operational environment for them to be able to roll new services out with confidence that they're not going to get breached. With that confidence, they're not going to have a regulatory compliance fine or a nightmare in the press. And these are the major drivers that help us with Vertica sell together into large organizations to say, let's add some defense in depth to your data. And that's really a key concept in the security field, this concept of defense in depth. We apply that to the data itself by changing the actual data element of Rich Gaston, I will change that name into Ciphertext, and that then yields a whole bunch of benefits throughout the organization as we deal with the lifecycle of that data. >> Okay, so a couple things I want to mention there. So first of all, totally board level topic, every board of directors should really have cyber and security as part of its agenda, and it does for the reasons that you mentioned. The other is, GDPR got it all started. I guess it was May 2018 that the penalties went into effect, and that just created a whole Domino effect. You mentioned California enacting its own laws, which, you know, in some cases are even more stringent. And you're seeing this all over the world. So I think one of the questions I have is, how do you approach all this variability? It seems to me, you can't just take a narrow approach. You have to have an end to end perspective on governance and risk and security, and the like. So are you able to do that? And if so, how so? >> Absolutely, I think one of the key areas in big data in particular, has been the concern that we have a schema, we have database tables, we have CALMS, and we have data, but we're not exactly sure what's in there. We have application developers that have been given sandbox space in our clusters, and what are they putting in there? So can we discover that data? We have those tools within Micro Focus to discover sensitive data within in your data stores, but we can also protect that data, and then we'll track it. And what we really find is that when you protect, let's say, five billion rows of a customer database, we can now know what is being done with that data on a very fine grain and granular basis, to say that this business process has a justified need to see the data in the clear, we're going to give them that authorization, they can decrypt the data. Secure data, my product, knows about that and tracks that, and can report on that and say at this date and time, Rich Gaston did the following thing to be able to pull data in the clear. And that could be then used to support the regulatory compliance responses and then audit to say, who really has access to this, and what really is that data? Then in GDPR, we're getting down into much more fine grained decisions around who can get access to the data, and who cannot. And organizations are scrambling. One of the funny conversations that I had a couple years ago as GDPR came into place was, it seemed a couple of customers were taking these sort of brute force approach of, we're going to move our analytics and all of our data to Europe, to European data centers because we believe that if we do this in the U.S., we're going to violate their law. But if we do it all in Europe, we'll be okay. And that simply was a short-term way of thinking about it. You really can't be moving your data around the globe to try to satisfy a particular jurisdiction. You have to apply the controls and the policies and put the software layers in place to make sure that anywhere that someone wants to get that data, that we have the ability to look at that transaction and say it is or is not authorized, and that we have a rock solid way of approaching that for audit and for compliance and risk management. And once you do that, then you really open up the organization to go back and use those tools the way they were meant to be used. We can use Vertica for AI, we can use Vertica for machine learning, and for all kinds of really cool use cases that are being done with IOT, with other kinds of cases that we're seeing that require data being managed at scale, but with security. And that's the challenge, I think, in the current era, is how do we do this in an elegant way? How do we do it in a way that's future proof when CCPA comes in? How can I lay this on as another layer of audit responsibility and control around my data so that I can satisfy those regulators as well as the folks over in Europe and Singapore and China and Turkey and Australia. It goes on and on. Each jurisdiction out there is now requiring audit. And like I mentioned, the audits are getting tougher. And if you read the news, the GDPR example I think is classic. They told us in 2016, it's coming. They told us in 2018, it's here. They're telling us in 2020, we're serious about this, and here's the finds, and you better be aware that we're coming to audit you. And when we audit you, we're going to be asking some tough questions. If you can't answer those in a timely manner, then you're going to be facing some serious consequences, and I think that's what's getting attention. >> Yeah, so the whole big data thing started with Hadoop, and Hadoop is open, it's distributed, and it just created a real governance challenge. I want to talk about your solutions in this space. Can you tell us more about Micro Focus voltage? I want to understand what it is, and then get into sort of how it works, and then I really want to understand how it's applied to Vertica. >> Yeah, absolutely, that's a great question. First of all, we were the originators of format preserving encryption, we developed some of the core basic research out of Stanford University that then became the company of Voltage; that build-a-brand name that we apply even though we're part of Micro Focus. So the lineage still goes back to Dr. Benet down at Stanford, one of my buddies there, and he's still at it doing amazing work in cryptography and keeping moving the industry forward, and the science forward of cryptography. It's a very deep science, and we all want to have it peer-reviewed, we all want to be attacked, we all want it to be proved secure, that we're not selling something to a major money center bank that is potentially risky because it's obscure and we're private. So we have an open standard. For six years, we worked with the Department of Commerce to get our standard approved by NIST; The National Institute of Science and Technology. They initially said, well, AES256 is going to be fine. And we said, well, it's fine for certain use cases, but for your database, you don't want to change your schema, you don't want to have this increase in storage costs. What we want is format preserving encryption. And what that does is turns my name, Rich, into a four-letter ciphertext. It can be reversed. The mathematics of that are fascinating, and really deep and amazing. But we really make that very simple for the end customer because we produce APIs. So these application programming interfaces can be accessed by applications in C or Java, C sharp, other languages. But they can also be accessed in Microservice Manor via rest and web service APIs. And that's the core of our technical platform. We have an appliance-based approach, so we take a secure data appliance, we'll put it on Prim, we'll make 50 of them if you're a big company like Verizon and you need to have these co-located around the globe, no problem; we can scale to the largest enterprise needs. But our typical customer will install several appliances and get going with a couple of environments like QA and Prod to be able to start getting encryption going inside their organization. Once the appliances are set up and installed, it takes just a couple of days of work for a typical technical staff to get done. Then you're up and running to be able to plug in the clients. Now what are the clients? Vertica's a huge one. Vertica's one of our most powerful client endpoints because you're able to now take that API, put it inside Vertica, it's all open on the internet. We can go and look at Vertica.com/secure data. You get all of our documentation on it. You understand how to use it very quickly. The APIs are super simple; they require three parameter inputs. It's a really basic approach to being able to protect and access data. And then it gets very deep from there because you have data like credit card numbers. Very different from a street address and we want to take a different approach to that. We have data like birthdate, and we want to be able to do analytics on dates. We have deep approaches on managing analytics on protected data like Date without having to put it in the clear. So we've maintained a lead in the industry in terms of being an innovator of the FF1 standard, what we call FF1 is format preserving encryption. We license that to others in the industry, per our NIST agreement. So we're the owner, we're the operator of it, and others use our technology. And we're the original founders of that, and so we continue to sort of lead the industry by adding additional capabilities on top of FF1 that really differentiate us from our competitors. Then you look at our API presence. We can definitely run as a dup, but we also run in open systems. We run on main frame, we run on mobile. So anywhere in the enterprise or one in the cloud, anywhere you want to be able to put secure data, and be able to access the protect data, we're going to be there and be able to support you there. >> Okay so, let's say I've talked to a lot of customers this week, and let's say I'm running in Eon mode. And I got some workload running in AWS, I've got some on Prim. I'm going to take an appliance or multiple appliances, I'm going to put it on Prim, but that will also secure my cloud workloads as part of a sort of shared responsibility model, for example? Or how does that work? >> No, that's absolutely correct. We're really flexible that we can run on Prim or in the cloud as far as our crypto engine, the key management is really hard stuff. Cryptography is really hard stuff, and we take care of all that, so we've all baked that in, and we can run that for you as a service either in the cloud or on Prim on your small Vms. So really the lightweight footprint for me running my infrastructure. When I look at the organization like you just described, it's a classic example of where we fit because we will be able to protect that data. Let's say you're ingesting it from a third party, or from an operational system, you have a website that collects customer data. Someone has now registered as a new customer, and they're going to do E-commerce with you. We'll take that data, and we'll protect it right at the point of capture. And we can now flow that through the organization and decrypt it at will on any platform that you have that you need us to be able to operate on. So let's say you wanted to pick that customer data from the operational transaction system, let's throw it into Eon, let's throw it into the cloud, let's do analytics there on that data, and we may need some decryption. We can place secure data wherever you want to be able to service that use case. In most cases, what you're doing is a simple, tiny little atomic efetch across a protected tunnel, your typical TLS pipe tunnel. And once that key is then cashed within our client, we maintain all that technology for you. You don't have to know about key management or dashing. We're good at that; that's our job. And then you'll be able to make those API calls to access or protect the data, and apply the authorization authentication controls that you need to be able to service your security requirements. So you might have third parties having access to your Vertica clusters. That is a special need, and we can have that ability to say employees can get X, and the third party can get Y, and that's a really interesting use case we're seeing for shared analytics in the internet now. >> Yeah for sure, so you can set the policy how we want. You know, I have to ask you, in a perfect world, I would encrypt everything. But part of the reason why people don't is because of performance concerns. Can you talk about, and you touched upon it I think recently with your sort of atomic access, but can you talk about, and I know it's Vertica, it's Ferrari, etc, but anything that slows it down, I'm going to be a concern. Are customers concerned about that? What are the performance implications of running encryption on Vertica? >> Great question there as well, and what we see is that we want to be able to apply scale where it's needed. And so if you look at ingest platforms that we find, Vertica is commonly connected up to something like Kafka. Maybe streamsets, maybe NiFi, there are a variety of different technologies that can route that data, pipe that data into Vertica at scale. Secured data is architected to go along with that architecture at the node or at the executor or at the lowest level operator level. And what I mean by that is that we don't have a bottleneck that everything has to go through one process or one box or one channel to be able to operate. We don't put an interceptor in between your data and coming and going. That's not our approach because those approaches are fragile and they're slow. So we typically want to focus on integrating our APIs natively within those pipeline processes that come into Vertica within the Vertica ingestion process itself, you can simply apply our protection when you do the copy command in Vertica. So really basic simple use case that everybody is typically familiar with in Vertica land; be able to copy the data and put it into Vertica, and you simply say protect as part of the data. So my first name is coming in as part of this ingestion. I'll simply put the protect keyword in the Syntax right in SQL; it's nothing other than just an extension SQL. Very very simple, the developer, easy to read, easy to write. And then you're going to provide the parameters that you need to say, oh the name is protected with this kind of a format. To differentiate it between a credit card number and an alphanumeric stream, for example. So once you do that, you then have the ability to decrypt. Now, on decrypt, let's look at a couple different use cases. First within Vertica, we might be doing select statements within Vertica, we might be doing all kinds of jobs within Vertica that just operate at the SQL layer. Again, just insert the word "access" into the Vertica select string and provide us with the data that you want to access, that's our word for decryption, that's our lingo. And we will then, at the Vertica level, harness the power of its CPU, its RAM, its horsepower at the node to be able to operate on that operator, the decryption request, if you will. So that gives us the speed and the ability to scale out. So if you start with two nodes of Vertica, we're going to operate at X number of hundreds of thousands of transactions a second, depending on what you're doing. Long strings are a little bit more intensive in terms of performance, but short strings like social security number are our sweet spot. So we operate very very high speed on that, and you won't notice the overhead with Vertica, perse, at the node level. When you scale Vertica up and you have 50 nodes, and you have large clusters of Vertica resources, then we scale with you. And we're not a bottleneck and at any particular point. Everybody's operating independently, but they're all copies of each other, all doing the same operation. Fetch a key, do the work, go to sleep. >> Yeah, you know, I think this is, a lot of the customers have said to us this week that one of the reasons why they like Vertica is it's very mature, it's been around, it's got a lot of functionality, and of course, you know, look, security, I understand is it's kind of table sticks, but it's also can be a differentiator. You know, big enterprises that you sell to, they're asking for security assessments, SOC 2 reports, penetration testing, and I think I'm hearing, with the partnership here, you're sort of passing those with flying colors. Are you able to make security a differentiator, or is it just sort of everybody's kind of got to have good security? What are your thoughts on that? >> Well, there's good security, and then there's great security. And what I found with one of my money center bank customers here in San Francisco was based here, was the concern around the insider access, when they had a large data store. And the concern that a DBA, a database administrator who has privilege to everything, could potentially exfil data out of the organization, and in one fell swoop, create havoc for them because of the amount of data that was present in that data store, and the sensitivity of that data in the data store. So when you put voltage encryption on top of Vertica, what you're doing now is that you're putting a layer in place that would prevent that kind of a breach. So you're looking at insider threats, you're looking at external threats, you're looking at also being able to pass your audit with flying colors. The audits are getting tougher. And when they say, tell me about your encryption, tell me about your authentication scheme, show me the access control list that says that this person can or cannot get access to something. They're asking tougher questions. That's where secure data can come in and give you that quick answer of it's encrypted at rest. It's encrypted and protected while it's in use, and we can show you exactly who's had access to that data because it's tracked via a different layer, a different appliance. And I would even draw the analogy, many of our customers use a device called a hardware security module, an HSM. Now, these are fairly expensive devices that are invented for military applications and adopted by banks. And now they're really spreading out, and people say, do I need an HSM? Well, with secure data, we certainly protect your crypto very very well. We have very very solid engineering. I'll stand on that any day of the week, but your auditor is going to want to ask a checkbox question. Do you have HSM? Yes or no. Because the auditor understands, it's another layer of protection. And it provides me another tamper evident layer of protection around your key management and your crypto. And we, as professionals in the industry, nod and say, that is worth it. That's an expensive option that you're going to add on, but your auditor's going to want it. If you're in financial services, you're dealing with PCI data, you're going to enjoy the checkbox that says, yes, I have HSMs and not get into some arcane conversation around, well no, but it's good enough. That's kind of the argument then conversation we get into when folks want to say, Vertica has great security, Vertica's fantastic on security. Why would I want secure data as well? It's another layer of protection, and it's defense in depth for you data. When you believe in that, when you take security really seriously, and you're really paranoid, like a person like myself, then you're going to invest in those kinds of solutions that get you best in-class results. >> So I'm hearing a data-centric approach to security. Security experts will tell you, you got to layer it. I often say, we live in a new world. The green used to just build a moat around the queen, but the queen, she's leaving her castle in this world of distributed data. Rich, incredibly knowlegable guest, and really appreciate you being on the front lines and sharing with us your knowledge about this important topic. So thanks for coming on theCUBE. >> Hey, thank you very much. >> You're welcome, and thanks for watching everybody. This is Dave Vellante for theCUBE, we're covering wall-to-wall coverage of the Virtual Vertica BDC, Big Data Conference. Remotely, digitally, thanks for watching. Keep it right there. We'll be right back right after this short break. 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>>It's the queue covering the virtual vertical Big Data Conference 2020. Brought to you by vertical. >>Hello, everybody. Welcome to the new Normal. You're watching the Cube, and it's remote coverage of the vertical big data event on digital or gone Virtual. My name is Dave Volante, and I'm here with Colin Mahoney, who's a senior vice president at Micro Focus and the GM of Vertical Colin. Well, strange times, but the show goes on. Great to see you again. >>Good to see you too, Dave. Yeah, strange times indeed. Obviously, Safety first of everyone that we made >>a >>decision to go Virtual. I think it was absolutely the right all made it in advance of how things have transpired, but we're making the best of it and appreciate your time here, going virtual with us. >>Well, Joe and we're super excited to be here. As you know, the Cube has been at every single BDC since its inception. It's a great event. You just you just presented the key note to your to your audience, You know, it was remote. You didn't have that that live vibe. And you have a lot of fans in the vertical community But could you feel the love? >>Yeah, you know, it's >>it's hard to >>feel the love virtually, but I'll tell you what. The silver lining in all this is the reach that we have for this event now is much broader than it would have been a Z you know, you know, we brought this event back. It's been a few years since we've done it. We're super excited to do it, obviously, you know, in Boston, where it was supposed to be on location, but there wouldn't have been as many people that could participate. So the silver lining in all of this is that I think there's there's a lot of love out there we're getting, too. I have a lot of participants who otherwise would not have been able to participate in this. Both live as well. It's a lot of these assets that we're gonna have available. So, um, you know, it's out there. We've got an amazing customers and of practitioners with vertical. We've got so many have been with us for a long time. We've of course, have a lot of new customers as well that we're welcoming, so it's exciting. >>Well, it's been a while. Since you've had the BDC event, a lot of transpired. You're now part of micro focus, but I know you and I know the vertical team you guys have have not stopped. You've kept the innovation going. We've been following the announcements, but but bridge the gap between the last time. You know, we had coverage of this event and where we are today. A lot has changed. >>Oh, yeah, a lot. A lot has changed. I mean, you know, it's it's the software industry, right? So nothing stays the same. We constantly have Teoh keep going. Probably the only thing that stays the same is the name Vertical. Um and, uh, you know, you're not spending 10 which is just a phenomenal released for us. So, you know, overall, the the organization continues to grow. The dedication and commitment to this great form of vertical continues every single release we do as you know, and this hasn't changed. It's always about performance and scale and adding a whole bunch of new capabilities on that front. But it's also about are our main road map and direction that we're going towards. And I think one of the things have been great about it is that we've stayed true that from day one we haven't tried to deviate too much and get into things that are barred to outside your box. But we've really done, I think, a great job of extending vertical into places where people need a lot of help. And with vertical 10 we know we're going to talk more about that. But we've done a lot of that. It's super exciting for our customers, and all of this, of course, is driven by our customers. But back to the big data conference. You know, everybody has been saying this for years. It was one of the best conferences we've been to just so really it's. It's developers giving tech talks, its customers giving talks. And we have more customers that wanted to give talks than we had slots to fill this year at the event, which is another benefit, a little bit of going virtually accommodate a little bit more about obviously still a tight schedule. But it really was an opportunity for our community to come together and talk about not just America, but how to deal with data, you know, we know the volumes are slowing down. We know the complexity isn't slowing down. The things that people want to do with AI and machine learning are moving forward in a rapid pace as well. There's a lot talk about and share, and that's really huge part of what we try to do with it. >>Well, let's get into some of that. Um, your customers are making bets. Micro focus is actually making a bet on one vertical. I wanna get your perspective on one of the waves that you're riding and where are you placing your bets? >>Yeah, No, it's great. So, you know, I think that one of the waves that we've been writing for a long time, obviously Vertical started out as a sequel platform for analytics as a sequel, database engine, relational engine. But we always knew that was just sort of takes that we wanted to do. People were going to trust us to put enormous amounts of data in our platform and what we owe everyone else's lots of analytics to take advantage of that data in the lots of tools and capabilities to shape that data to get into the right format. The operational reporting but also in this day and age for machine learning and from some pretty advanced regressions and other techniques of things. So a huge part of vertical 10 is just doubling down on that commitment to what we call in database machine learning and ai. Um, And to do that, you know, we know that we're not going to come up with the world's best algorithms. Nor is that our focus to do. Our advantage is we have this massively parallel platform to ingest store, manage and analyze the data. So we made some announcements about incorporating PM ML models into the product. We continue to deepen our python integration. Building off of a new open source project we started with uber has been a great customer and partner on This is one of our great talks here at the event. So you know, we're continuing to do that, and it turns out that when it comes to anything analytics machine learning, certainly so much of what you have to do is actually prepare the big shape the data get the data in the right format, apply the model, fit the model test a model operationalized model and is a great platform to do that. So that's a huge bet that were, um, continuing to ride on, taking advantage of and then some of the other things that we've just been seeing. You continue. I'll take object. Storage is an example on, I think Hadoop and what would you point through ultimately was a huge part of this, but there's just a massive disruption going on in the world around object storage. You know, we've made several bets on S three early we created America Yang mode, which separates computing story. And so for us that separation is not just about being able to take care of your take advantage of cloud economics as we do, or the economics of object storage. It's also about being able to truly isolate workloads and start to set the sort of platform to be able to do very autonomous things in the databases in the database could actually start self analysing without impacting many operational workloads, and so that continues with our partnership with pure storage. On premise, we just announced that we're supporting beyond Google Cloud now. In addition to Amazon, we supported on we've got a CFS now being supported by are you on mode. So we continue to ride on that mega trend as well. Just the clouds in general. Whether it's a public cloud, it's a private cloud on premise. Giving our customers the flexibility and choice to run wherever it makes sense for them is something that we are very committed to. From a flexibility standpoint. There's a lot of lock in products out there. There's a lot of cloud only products now more than ever. We're hearing our customers that they want that flexibility to be able to run anywhere. They want the ease of use and simplicity of native cloud experiences, which we're giving them as well. >>I want to stay in that architectural component for a minute. Talk about separating compute from storage is not just about economics. I mean apart Is that you, you know, green, really scale compute separate from storage as opposed to in chunks. It's more efficient, but you're saying there's other advantages to operational and workload. Specificity. Um, what is unique about vertical In this regard, however, many others separate compute from storage? What's different about vertical? >>Yeah, I think you know, there's a lot of differences about how we do it. It's one thing if you're a cloud native company, you do it and you have a shared catalog. That's key value store that all of your customers are using and are on the same one. Frankly, it's probably more of a security concern than anything. But it's another thing. When you give that capability to each customer on their own, they're fully protected. They're not sharing it with any other customers. And that's something that we hear a lot of insights from our customers. They want to be able to separate compute and storage. But they want to be able to do this in their own environment so that they know that in their data catalog there's no one else is. You share in that catalog, there's no single point of failure. So, um, that's one huge advantage that we have. And frankly, I think it just comes from being a company that's operating on premise and, uh, up in the cloud. I think another huge advantages for us is we don't know what object storage platform is gonna win, nor do we necessarily have. We designed the young vote so that it's an sdk. We started with us three, but it could be anything. It's DFS. That's three. Who knows what what object storage formats were going to be there and then finally, beyond just the object storage. We're really one of the only database companies that actually allows our customers to natively operate on data in very different formats, like parquet and or if you're familiar with those in the Hadoop community. So we not only embrace this kind of object storage disruption, but we really embrace the different data formats. And what that means is our customers that have data pipelines that you know, fully automated, putting this information in different places. They don't have to completely reload everything to take advantage of the Arctic analytics. We can go where the data is connected into it, and we offer them a lot of different ways to take advantage of those analytics. So there are a couple of unique differences with verdict, and again, I think are really advance. You know, in many ways, by not being a cloud native platform is that we're very good at operating in different environments with different formats that changing formats over time. And I don't think a lot of the other companies out there that I think many, particularly many of the SAS companies were scrambling. They even have challenges moving from saying Amazon environment to a Microsoft azure environment with their office because they've got so much unique Band Aid. Excuse me in the background. Just holding the system up that is native to any of those. >>Good. I'm gonna summarize. I'm hearing from you your Ferrari of databases that we've always known. Your your object store agnostic? Um, it's any. It's the cloud experience that you can bring on Prem to virtually any cloud. All the popular clouds hybrid. You know, aws, azure, now Google or on Prem and in a variety of different data formats. And that is, I think, you know, you need the combination of those I think is unique in the marketplace. Um, before we get into the news, I want to ask you about data silos and data silos. You mentioned H DFs where you and I met back in the early days of big data. You know, in some respects, you know, Hadoop help break down the silos with distributing the date and leave it in place, and in other respects, they created Data Lakes, which became silos. And so we have. Yet all these other sales people are trying to get to, Ah, digital transformation meeting, putting data at their core virtually obviously, and leave it in place. What's your thoughts on that in terms of data being a silo buster Buster, How does verdict of way there? >>Yeah, so And you're absolutely right, I think if even if you look at his due for all the new data that gets into the do. In many ways, it's created yet another large island of data that many organizations are struggling with because it's separate from their core traditional data warehouse. It's separate from some of the operational systems that they have, and so there might be a lot of data in there, but they're still struggling with How do I break it out of that large silo and or combine it again? I think some some of the things that verdict it doesn't part of the announcement just attend his migration tools to make it really easy. If you do want to move it from one platform to another inter vertical, but you don't have to move it, you can actually take advantage of a lot of the data where it resides with vertical, especially in the Hadoop brown with our external table storage with our building or compartment natively. So we're very pragmatic about how our customers go about this. Very few customers, Many of them tried it with Hadoop and realize that didn't work. But very few customers want a wholesale. Just say we're going to throw everything out. We're gonna get rid of our data warehouse. We're gonna hit the pause button and we're going to go from there. Just it's not possible to do that. So we've spent a lot of time investing in the product, really work with them to go where the data is and then seamlessly migrate. And when it makes sense to migrate, you mentioned the performance of America. Um, and you talked about it is the variety. It definitely is. And one other thing that we're really proud of this is that it actually is not a gas guzzler. Easy either One of the things that we're seeing, a lot of the other cloud databases pound for pound you get on the 10th the hardware vertical running up there. You get over 10 x performance. We're seeing that a lot, so it's Ah, it's not just about the performance, but it's about the efficiency as well. And I think that efficiency is really important when it comes to silos. Because there's there's just only so much horsepower out there. And it's easier for companies to play tricks and lots of servers environment when they start up for so many organizations and cloud and frankly, looking at the bills they're getting from these cloud workloads that are running. They really conscious of that. >>Yeah. The big, big energy companies love the gas guzzlers. A lot of a lot of cloud. Cute. But let's get into the news. Uh, 10 dot io you shared with your the audience in your keynote. One of the one of the highlights of data. What do we need to know? >>Yeah, so, you know, again doubling down on these mega trends, I'll start with Machine Learning and ai. We've done a lot of work to integrate so that you can take native PM ml models, bring them into vertical, run them massively parallel and help shape you know your data and prepare it. Do all the work that we know is required true machine learning. And for all the hype that there is around it, this is really you know, people want to do a lot of unsupervised machine learning, whether it's for healthcare fraud, detection, financial services. So we've doubled down on that. We now also support things like Tensorflow and, you know, as I mentioned, we're not going to come up with the best algorithms. Our job is really to ensure that those algorithms that people coming up with could be incorporated, that we can run them against massive data sets super efficiently. So that's that's number one number two on object storage. We continue to support Mawr object storage platforms for ya mode in the cloud we're expanding to Google G CPI, Google's cloud beyond just Amazon on premise or in the cloud. Now we're also supporting HD fs with beyond. Of course, we continue to have a great relationship with our partners, your storage on premise. Well, what we continue to invest in the eon mode, especially. I'm not gonna go through all the different things here, but it's not just sort of Hey, you support this and then you move on. There's so many different things that we learn about AP I calls and how to save our customers money and tricks on performance and things on the third areas. We definitely continue to build on that flexibility of deployment, which is related to young vote with. Some are described, but it's also about simplicity. It's also about some of the migration tools that we've announced to make it easy to go from one platform to another. We have a great road map on these abuse on security, on performance and scale. I mean, for us. Those are the things that we're working on every single release. We probably don't talk about them as much as we need to, but obviously they're critically important. And so we constantly look at every component in this product, you know, Version 10 is. It is a huge release for any product, especially an analytic database platform. And so there's We're just constantly revisiting you know, some of the code base and figuring out how we can do it in new and better ways. And that's a big part of 10 as well. >>I'm glad you brought up the machine Intelligence, the machine Learning and AI piece because we would agree that it is really one of the things we've noticed is that you know the new innovation cocktail. It's not being driven by Moore's law anymore. It's really a combination of you. You've collected all this data over the last 10 years through Hadoop and other data stores, object stores, etcetera. And now you're applying machine intelligence to that. And then you've got the cloud for scale. And of course, we talked about you bringing the cloud experience, whether it's on Prem or hybrid etcetera. The reason why I think this is important I wanted to get your take on this is because you do see a lot of emerging analytic databases. Cloud Native. Yes, they do suck up, you know, a lot of compute. Yeah, but they also had a lot of value. And I really wanted to understand how you guys play in that new trend, that sort of cloud database, high performance, bringing in machine learning and AI and ML tools and then driving, you know, turning data into insights and from what I'm hearing is you played directly in that and your differentiation is a lot of the things that we talk about including the ability to do that on from and in the cloud and across clouds. >>Yeah, I mean, I think that's a great point. We were a great cloud database. We run very well upon three major clouds, and you could argue some of the other plants as well in other parts of the world. Um, if you talk to our customers and we have hundreds of customers who are running vertical in the cloud, the experience is very good. I think it would always be better. We've invested a lot in taking advantage of the native cloud ecosystem, so that provisioning and managing vertical is seamless when you're in that environment will continue to do that. But vertical excuse me as a cloud platform is phenomenal. And, um, you know, there's a There's a lot of confusion out there, you know? I think there's a lot of marketing dollars spent that won't name many of the companies here. You know who they are, You know, the cloud Native Data Warehouse and it's true, you know their their software as a service. But if you talk to a lot of our customers, they're getting very good and very similar. experiences with Bernie comic. We stopped short of saying where software is a service because ultimately our customers have that control of flexibility there. They're putting verdict on whichever cloud they want to run it on, managing it. Stay tuned on that. I think you'll you'll hear from or more from us about, you know, that going going even further. But, um, you know, we do really well in the cloud, and I think he on so much of yang. And, you know, this has really been a sort of 2.5 years and never for us. But so much of eon is was designed around. The cloud was designed around Cloud Data Lakes s three, separation of compute and storage on. And if you look at the work that we're doing around container ization and a lot of these other elements, it just takes that to the next level. And, um, there's a lot of great work, so I think we're gonna get continue to get better at cloud. But I would argue that we're already and have been for some time very good at being a cloud analytic data platform. >>Well, since you open the door I got to ask you. So it's e. I hear you from a performance and architectural perspective, but you're also alluding two. I think something else. I don't know what you can share with us. You said stay tuned on that. But I think you're talking about Optionality, maybe different consumption models. That am I getting that right and you share >>your difficult in that right? And actually, I'm glad you wrote something. I think a huge part of Cloud is also has nothing to do with the technology. I think it's how you and seeing the product. Some companies want to rent the product and they want to rent it for a certain period of time. And so we allow our customers to do that. We have incredibly flexible models of how you provision and purchase our product, and I think that helps a lot. You know, I am opening the door Ah, a little bit. But look, we have customers that ask us that we're in offer them or, you know, we can offer them platforms, brawl in. We've had customers come to us and say please take over systems, um, and offer something as a distribution as I said, though I think one thing that we've been really good at is focusing on on what is our core and where we really offer offer value. But I can tell you that, um, we introduced something called the Verdict Advisor Tool this year. One of the things that the Advisor Tool does is it collects information from our customer environments on premise or the cloud, and we run through our own machine learning. We analyze the customer's environment and we make some recommendations automatically. And a lot of our customers have said to us, You know, it's funny. We've tried managed service, tried SAS off, and you guys blow them away in terms of your ability to help us, like automatically managed the verdict, environment and the system. Why don't you guys just take this product and converted into a SAS offering, so I won't go much further than that? But you can imagine that there's a lot of innovation and a lot of thoughts going into how we can do that. But there's no reason that we have to wait and do that today and being able to offer our customers on premise customers that same sort of experience from a managed capability is something that we spend a lot of time thinking about as well. So again, just back to the automation that ease of use, the going above and beyond. Its really excited to have an analytic platform because we can do so much automation off ourselves. And just like we're doing with Perfect Advisor Tool, we're leveraging our own Kool Aid or Champagne Dawn. However you want to say Teoh, in fact, tune up and solve, um, some optimization for our customers automatically, and I think you're going to see that continue. And I think that could work really well in a bunch of different wallets. >>Welcome. Just on a personal note, I've always enjoyed our conversations. I've learned a lot from you over the years. I'm bummed that we can't hang out in Boston, but hopefully soon, uh, this will blow over. I loved last summer when we got together. We had the verdict throwback. We had Stone Breaker, Palmer, Lynch and Mahoney. We did a great series, and that was a lot of fun. So it's really it's a pleasure. And thanks so much. Stay safe out there and, uh, we'll talk to you soon. >>Yeah, you too did stay safe. I really appreciate it up. Unity and, you know, this is what it's all about. It's Ah, it's a lot of fun. I know we're going to see each other in person soon, and it's the people in the community that really make this happen. So looking forward to that, but I really appreciate it. >>Alright. And thank you, everybody for watching. This is the Cube coverage of the verdict. Big data conference gone, virtual going digital. I'm Dave Volante. We'll be right back right after this short break. >>Yeah.

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. >>This is a cube conversation. >>Hi, everybody. Dave Vellante here with the Cube. And we're getting ready for the verdict. A big data conference. 2020. The conference has gone virtual, and this is our digital presentation of the conference. I'm here with Colin Mahoney. Who's the general manager of Vertical? How you doing, Colin? >>Great day. Great to see you. >>Hey, let's set it up. What should we expect? That BBC 2020 get people excited? >>Yeah. So look, I mean, it's it's part of the times. We made the decision to go Virtual way made that decision a little bit earlier, and now we know it was absolutely the right thing to do. And as much as we love getting everybody together and the community around vertical being together first and look at the bright side, we've got the opportunity to hear bring the critical big data conference virtual to a lot of people in the comfort of whatever they are right now. That's exciting, But we're still gonna have great presentations. Speakers true to form, way don't really allow any marketing into the critical big data conference. It's all presentations given by either our engineering team for our customers on how you can actually take advantage and use the father. Then, I think, on years past it's been a few years since we've done it, but we got great agenda. The team is doing an incredible job, as we were to virtual as you could imagine. It's never easy to pull off one of these events, and it's certainly not easy to do change course a few weeks before they get virtual. But everybody's doing a great job of customers, have been so supportive and you're going to help. And like I said, the good news is our reach is going through the roof in terms of the numbers and the number of people that actually participate. So it's gonna be fun. It's It's all about data. It's not just about the data itself. We all know that may be boring. If you're just talking about is really about what you can do with data, how you can take advantage of some of the incredible things that our customers are hearing with data to change the world for the better and no type of it. Now, I think we all understand how critically important that it's >>That's awesome. Colin and I understand from talking books the vertical team that registrations are are going to the roof. So Goto find vertical BDC 2020. Just Google it. You'll find it. Sign up, um, And then give us the last word. >>Yeah. Come, come, come see it. And you know what? It's going to be on demand as well, Which is one of the benefits of, uh, you know, vertical going virtual for the big data conference. But come and learn. Come learn about data. Come to see the community we hear from our customers directly and enjoy. Have fun. We can forward to seeing you there. Thanks, Dave. >>Yeah, awesome. And then, you know that's the thing to the Cube Will be. There will be streaming ah of interviews all throughout the next several weeks and months, so check it out. Thanks for watching everybody. We'll see you at the verdict of Big Data Conference. 2020. Yeah, Yeah, yeah, yeah, yeah

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with top leaders all around the world, this is theCUBE Conversation. >> Hi everybody, I'm Dave Vellante, and welcome to the Vertica Big Data Conference virtual. This is our digital presentation, wall to wall coverage actually, of the Vertica Big Data Conference. And with me is Jeff Healy, who directs product marketing at Vertica. Jeff, good to see you. >> Good to see you, Dave. Thanks for the opportunity to chat. >> You're very welcome Now I'm excited about the products that you guys announced and you're hardcore into product marketing, but we're going to talk about the Vertica Big Data Conference. It's been a while since you guys had this. Obviously, new owner, new company, some changes, but that new company Microfocus has announced that it's investing, I think the number was $70 million into two areas. One was security and the other, of course, was Vertica. So we're really excited to be back at the virtual Big Data Conference. And let's hear it from you, what are your thoughts? >> Yeah, Dave, thanks. And we love having theCUBE at all of these events. We're thrilled to have the next Vertica Big Data Conference. Actually it was a physical event, we're moving it online. We know it's going to be a big hit because we've been doing this for some time particularly with two of the webcast series we have every month. One is under the Hood Webcast Series, which is led by our engineers and the other is what we call a Data Disruptors Webcast Series, which is led by all customers. So we're really confident this is going to be a big hit we've seen the registration spike. We just hit 1,000 and we're planning on having about 1,000 at the physical event. It's growing and growing. We're going to see those big numbers and it's not going to be a one time thing. We're going to keep the conversation going, make sure there's plenty of best practices learning throughout the year. >> We've been at all the big BDCs and the first one's were really in the heart of the Big Data Movement, really exciting time and the interesting thing about this event is it was always sort of customers talking to customers. There wasn't a lot of commercials, an intimate event. Of course I loved it because it was in our hometown. But I think you're trying to carry that theme obviously into the digital sphere. Maybe you can talk about that a little bit. >> Yeah, Dave, absolutely right. Of course, nothing replaces face to face, but everything that you just mentioned that makes it special about the Big Data Conference, and you know, you guys have been there throughout and shown great support in talking to so many customers and leaders and what have you. We're doing the same thing all right. So we had about 40 plus sessions planned for the physical event. We're going to run half of those and we're not going to lose anything though, that's the key point. So what makes the Vertica Big Data Conference really special is that the only presenters that are allowed to present are either engineers, Vertica engineers, or best practices engineers and then customers. Customers that actually use the product. There's no sales or marketing pitches or anything like that. And I'll tell you as far as the customer line up that we have, we've got five or six already lined up as part of those 20 sessions, customers like Uber, customers like the Trade Desk, customers like Phillips talking about predictive maintenance, so list goes on and on. You won't want to miss it if you're on the fence or if you're trying to figure out if you want to register for this event. Best part about it, it's all free, and if you can't attend it live, it will be live Q&A chat on every single one of those sessions, we promise we'll answer every question if we don't get it live, as we always do. They'll all be available on demand. So no reason not to register and attend or watch later. >> Thinking about the content over the years, in the early days of the Big Data Conference, of course Vertica started before the whole Big Data Conference meme really took off and then as it took off, plugged right into it, but back then the discussion was a lot of what do I do with big data, Gartner's three Vs and how do I wrangle it all, and what's the best approach and this stuff is, Hadoop is really complicated. Of course Vertica was an alternative to RDBMS that really couldn't scale or give that type of performance for analytical databases so you had your foot in that door. But now the conversation that's interesting your theme, it's win big with data. Of course, the physical event was at the Encore, which is the new Casino in Boston. But my point is, the conversation is no longer about, how to wrangle all this data, you know how to lower the cost of storing this data, how to make it go faster, and actually make it work. It's really about how to turn data into insights and transform your organizations and quote and quote, win with big data. >> That's right. Yeah, that's great point, Dave. And that's why I mean, we chose the title really, because it's about our customers and what they're able to do with our platform. And it's we know, it's not just one platform, all of the ecosystem, all of our incredible partners. Yeah it's funny when I started with the organization about seven years ago, we were closing lots of deals, and I was following up on case studies and it was like, Okay, why did you choose Vertica? Well, the queries went fast. Okay, so what does that mean for your business? We knew we're kind of in the early adopter stage. And we were disrupting the data warehouse market. Now we're talking to our customers that their volumes are growing, growing and growing. And they really have these analytical use cases again, talk to the value at the entire organization is gaining from it. Like that's the difference between now and a few years ago, just like you were saying, when Vertica disrupted the database market, but also the data warehouse market, you can speak to our customers and they can tell you exactly what's happening, how it's moving the needle or really advancing the entire organization, regardless of the analytical use case, whether it's an internet of things around predictive maintenance, or customer behavior analytics, they can speak confidently of it more than just, hey, our queries went faster. >> You know, I've mentioned before the Micro Focus investment, I want to drill into that a bit because the Vertica brand stands alone. It's a Micro Focus company, but Vertica has its own sort of brand awareness. The reason I've mentioned that is because if you go back to the early days of MPP Database, there was a spate of companies, startups that formed. And many if not all of those got acquired, some lived on with the Codebase, going into the cloud, but generally speaking, many of those brands have gone away Vertica stays. And so my point is that we've seen Vertica have staying power throughout, I think it's a function of the architecture that Stonebraker originally envisioned, you guys were early on the market had a lot of good customer traction, and you've been very responsive to a lot of the trends. Colin Mahony will talk about how you adopted and really embrace cloud, for example, and different data formats. And so you've really been able to participate in a lot of the new emerging waves that have come out to the market. And I would imagine some of that's cultural. I wonder if you could just address that in the context of BDC. >> Oh, yeah, absolutely. You hit on all the key points here, Dave. So a lot of changes in the industry. We're in the hottest industry, the tech industry right now. There's lots of competition. But one of the things we'll say in terms of, Hey, who do you compete with? You compete with these players in the cloud, open source alternatives, traditional enterprise data warehouses. That's true, right. And one of the things we've stayed true within calling is really kind of led the charge for the organization is that we know who we are right. So we're an analytical database platform. And we're constantly just working on that one sole Source Code base, to make sure that we don't provide a bunch of different technologies and databases, and different types of technologies need to stitch together. This platform just has unbelievable universal capabilities from everything from running analytics at scale, to in Database Machine Learning with the different approach to all different types of deployment models that are supported, right. We don't go to our companies and we say, yeah, we take care of all your problems but you have to stitch together all these different types of technologies. It's all based on that core Vertica engine, and we've expanded it to meet all these market needs. So Colin knows and what he believes and what he tells the team what we lead with, is that it lead with that one core platform that can address all these analytical initiatives. So we know who we are, we continue to improve on it, regardless of the pivots and the drastic measures that some of the other competitors have taken. >> You know, I got to ask you, so we're in the middle of this global pandemic with Coronavirus and COVID-19, and things change daily by the hour sometimes by the minute. I mean, every day you get up to something new. So you see a lot of forecasts, you see a lot of probability models, best case worst case likely case even though nobody really knows what that likely case looks like, So there's a lot of analytics going on and a lot of data that people are crunching new data sources come in every day. Are you guys participating directly in that, specifically your customers? Are they using your technology? You can't use a traditional data warehouse for this. It's just you know, too slow to asynchronous, the process is cumbersome. What are you seeing in the customer base as it relates to this crisis? >> Sure, well, I mean naturally, we have a lot of customers that are healthcare technology companies, companies, like Cerner companies like Philips, right, that are kind of leading the charge here. And of course, our whole motto has always been, don't throw away any the data, there's value in that data, you don't have to with Vertica right. So you got petabyte scale types of analytics across many of our customers. Again, just a few years ago, we called the customers a petabyte club. Now a majority of our large enterprise software companies are approaching those petabyte volumes. So it's important to be able to run those analytics at that scale and that volume. The other thing we've been seeing from some of our partners is really putting that analytics to use with visualizations. So one of the customers that's going to be presenting as part of the Vertica Big Data conferences is Domo. Domo has a really nice stout demo around be able to track the Coronavirus the outbreak and how we're getting care and things like that in a visual manner you're seeing more of those. Well, Domo embeds Vertica, right. So that's another customer of ours. So think of Vertica is that embedded analytical engine to support those visualizations so that just anyone in the world can track this. And hopefully as we see over time, cases go down we overcome this. >> Talk a little bit more about that. Because again, the BDC has always been engineers presenting to audiences, you guys have a lot of you just mentioned the demo by Domo, you have a lot of brand names that we've interviewed on theCUBE before, but maybe you could talk a little bit more about some of the customers that are going to be speaking at the virtual event, and what people can expect. >> Sure, yeah, absolutely. So we've got Uber that's presenting just a quick fact around Uber. Really, the analytical data warehouse is all Vertica, right. And it works very closely with Open Source or what have you. Just to quick stat on on Uber, 14 million rides per day, what Uber is able to do is connect the riders with the drivers so that they can determine the appropriate pricing. So Uber is going to be a great session that everyone will want to tune in on that. Others like the Trade Desk, right massive Ad Tech company 10 billion ad auctions daily, it may even be per second or per minute, the amount of scale and analytical volume that they have, that they are running the queries across, it can really only be accomplished with a few platforms in the world and that's Vertica that's another a hot one is with the Trade Desk. Philips is going to be presenting IoT analytical workloads we're seeing more and more of those across not only telematics, which you would expect within automotive, but predictive maintenance that cuts across all the original manufacturers and Philips has got a long history of being able to handle sensor data to be able to apply to those business cases where you can improve customer satisfaction and lower costs related to services. So around their MRI machines and predictive maintenance initiative, again, Vertica is kind of that heartbeat, that analytical platform that's driving those initiatives So list goes on and on. Again, the conversation is going to continue with the Data Disruptors in the Under Hood webcast series. Any customers that weren't able to present and we had a few that just weren't able to do it, they've already signed up for future months. So we're already booked out six months out more and more customer stories you're going to hear from Vertica.com. >> Awesome, and we're going to be sharing some of those on theCUBE as well, the BDC it's always been intimate event, one of my favorites, a lot of substance and I'm sure the online version, the virtual digital version is going to be the same. Jeff Healey, thanks so much for coming on theCUBE and give us a little preview of what we can expect at the Vertica BDC 2020. >> You bet. >> Thank you. >> Yeah, Dave, thanks to you and the whole CUBE team. Appreciate it >> Alright, and thank you for watching everybody. Keep it right here for all the coverage of the virtual Big Data conference 2020. You're watching theCUBE. I'm Dave Vellante, we'll see you soon

>>Yeah, yeah. Okay. Welcome back, everyone to the cubes. Coverage of reinvent 20 twenty-one Jon, your host of the Cube. We're here. Live in person for a real event. It's a hybrid event is a live stream of action to cube sets here, wall to wall coverage dot com. And, of course, you don't need to check the coverage out. And Amazon has got their own live event site. Go check out all the action. Stewart, See two of Micro Focus, the company That was part of the big announcement involving the mainframe modernization that Adam announced on stage and his first keynote CEO. And under the covers Micro Focus powering a lot of that functionality. Stuart, thanks for coming on. The break it down with >>Thanks. >>So what does the announcement? I mean that that Adam gave the i b. M. I mean the mainframe announcement that I've known for the main frame, but he had the mainframe modernization program. What's that all about? >>I think I'd like to think of this is the next evolution of the main frame for those customers that have been running on the main thing for 40 years. They had their business on it. Where do they go next? What does the future? What does the future hold? And this is all part of the announcement yesterday is this is the journey that many, many customers are going to decide to go on. >>So it's all about the relationship between A. W S and micro Focus. Obviously, Um, yeah. I was talking about migration for the Oracle, and a lot of our customers have these main friends that are in the classic data centers. And he told me personally when I interviewed him that the main part of that data center mindset that people are chipping away at now they want to move them out and keep some functionality, but for the most part, migrated out eventually. Yeah, This is where you guys are involved. Take us through why that's important. >>I think it's the next level of agility that it is actually delivered for many customers. They need to move a hell of a lot faster than they currently are. Let's face it, the world is changing at pace. The applications support these customers need to also a change of pace. What a W s does give this market and momentum which is, Where do we go next? Where do we take customers where workloads have been running the business? Where? How are they going to run the business in five years time? How they're gonna run their business in 10. >>Well, congratulations on microphone. Big part of the announcement. Specifically explained to me, Micro focuses role in the announcement with a W S. What's the relationship? >>I think they're too old to call it out. Actually, we've been working with A W S for many, many years. This isn't something that radically new. We've been engaging with them for literally 10 years, at least. But the key elements Microphone provides technology That's an enabler to facilitate delivering the service as well as the competency partner to help customers actually accelerate their journey to take advantage of it. >>So we're bundling micro focus into that capability. Is it software that you guys have? What's going on the covers? >>I think it's software. It's capability. It's expertise. It's everything that a customer might need to help and be successful. Our job is to a W S H A W s job to make sure the customer is absolutely satisfied. >>Give me an example of a customer mainframe. I'm a bank. I've been using the main frame and just squeaked Time to get my back up before I turned the light in the morning. It's just working. It's coming. It's pumping it all cylinders, my cobalt program or just quit. What do I do? How do you help me? >>Well, I think there are two reasons why you can give us a call Is number one? Yeah, You need to move your business of pace. So what's going to run your business going forward? So you need to understand your applications. Number two, the cost profile of your existing infrastructure is going to be incredibly expensive. So what you wanna do is essentially make the change accelerate the change delivered at a much lower cost. >>So it looks like the application. So the software Okay, what's the app? And then create a replica of digital twin? I'm just trying to visualized. Now I see what you mean. What happens because, I mean, you know what? That is A big deal with that animal for a long time. What happens next is a container eyes. That application, >>the customer determines how far they want to go if they would like the application to run in the cloud exactly as is so it supports their customers exactly as they expect today. We can do that. On the other hand, if they need to enhance the experience for their customers if they need to take it into a completely different environment. If they do want to contain, arise if they want to take it into new levels of service. If they do want to leverage artificial intelligence and machine learning, then again they can determine the journey. Micro focus is that essentially support them. Do that first step, which is get the applications ready to be delivered into cloud as fast as possible. >>Congratulations. Relationship. I guess I've got to ask you a question. Which on my mind is that Okay? It's the death of the mainframe. Long live the mainframe. You know the expression, uh, mainframe dying. I'm gonna hang around for a while. The dinosaurs are out there. >>I think it is. We like to position there is an evolution. We don't think the main friends gonna die. There will be customers who want to stay there, and we respect their choices. But on the other hand, this is a way to truly accelerate the future of mainstream applications. >>You know, student, I talked to a lot of success and C E O. S. And they tell me the same thing when they moved into the cloud. White hardcore is pretty much the main or critical laps to get the edges first moved into the cloud. And then they come and they start chipping away at the main, the main core and then slowly move it out because they don't want to get in there and disrupt so disruptions. A huge concerns. How does this new, um, modernization Tranz, uh, migration program for the mainframe ensure that disruption doesn't happen? What? I'm sure that's on their mind >>as well. I think what you're describing is what's the cut over when you're running on the main street today? You wanna run on the main from tomorrow, You know, if that's the case, or do you want to run the main from today and you want to run the cloud tomorrow? Essentially, the cut over is the same. The process is fairly separate from the mainframe itself. You obviously bringing applications off. We're getting them ready to go tested, you know, regulated. So it's been approved securities all in place, and then essentially, it's literally a switch cut. We literally have customers that turn off the main frame and, you know, they're already running in the cloud, and then we don't even have some that photographs of them shipping mainframe out the door. >>So I've got to ask, Is there a party at that point? You know, some people do >>that. It's certainly true. Remember that people are also going along for this journey, and they're not, You know, it's a big moment for them. >>You know, I hate the sound of today's my birthday. So I have to say this, Um, I remember when I was breaking into the business in my twenties. I never I never program punch cards, But remember pointing at the mainstream guys are seeing those old relics. I guess that's what I would be today. But the young guns coming into the industry, they want containers. They want micro services. They want cloud and see what's going on here. I mean, some really cool stuff happening. >>Uh, they want to take advantage of all the stuff that is there and every single announcement has been made today and yesterday on the days ahead. All of those great capabilities if you can get them into the core of your business. And so the key is to actually take us running your business today, enhance it and improve it and take it forward. I >>think I think the key points great insight on your part about this cut over because people know what that means. It's a project plan. Cut it over, get set up. And I think that's the hard part. How hard is that? On the cloud side, In terms of staging, can you share some timetables with me? Just kind of Give me a feel for order of magnitude Mainframe. Assuming, pumping it snap I'm using. I really can't shut it down, but I want to put it on. How much time to prepare to get into the cloud? Um, roughly just order of magnitude. Most >>customers, they tend to face these things they're not trying to. If you're a really big bank, you are not gonna do that overnight. That isn't gonna come as a surprise. But what we're gonna do is we're gonna take it in chunks and typically 12 to 15 months, which is the biggest step of the journey, which is going from mainframe to cloud. The next generation is going to be modernizing those applications, and it's going to be much short timeframes. Then you're getting into months, weeks, days >>after that. Is there any category that you see that are more susceptible to migration? You mentioned banks. I know some banks that they will never going to touch the mainstream because it's just so critical that the migration longer is there. Other areas of your insurance is a big market mainframe. Is the verticals that kind of like a more converting than others? >>Well, yes. But actually, I take it back. One of the reasons are these applications absolutely critical to these businesses. If they are, that's the reason why they're still running where they are, because they're really truly valuable. They are the business, so you're you're taking the business into new framework. So in that context actually tends to be financial services insurance, as you say, but also government, For example, the federal government, state and local as well as you move into retail. And it's surprising how often as you go into some of the other verticals where some of these mainframe applications are still existing. >>I hate to ask a question, because I don't know. So I want to ask, Um, and you can see it's a dumb question. If you think it is. Just tell me, Are there still cobalt programmers out there? >>There are to be clear. Actually, it's not a problem. You can train a new guy and literally weeks. If the issue is, yeah, actually use the mainstream itself, the mainstream experience about how it works as getting rarer. And so the key element is, how can how can you take the new young guns, give them, give them the application and see what they can do? This is a mechanism to do that. >>Great, Great announcement. Congratulations. I was really impressed at the moment. I'm actually surprised to see Adam kind of focus on that. But again, in the spirit of the traditional, uh, reinvent jazzy before Adam and he did the same thing with Oracle and all the other kind of big the legacy old guard they call them Technologies maintains one. You guys are part of that. So congratulations. Final word. Your take on the event so far. What's been the feedback on the announcement? Share some color commentary on what the feedback for you guys >>were. Actually, since the announcement, we've had some great customer conversations. I mean, there are a lot of businesses that really do want to make this change. We're kind of there to help them. And that's really the next step, which is what needs to happen to make that a reality. >>Amazon may not like me saying it, but I think there's some cases where you keep them in there and you don't touch. It works there. You keep it unless you wanna move. But if you want to move it, people, sometimes we want to move faster. And just there >>even a W s respects customer choice. The purpose is to meet the demand for the customer. And if the customer to sounds great, if they want to move off, we're there to help >>with the mainframe. Long live the main friends. The Cube coverage here in Las Vegas. I'm John. I love the mainframe Thirty-seven terminal. When I worked at the back in the eighties getting myself, um, thanks for coming in. And I appreciate it. Okay. Coverage here in Las Vegas. The Cube. You're watching the leader in global tech event coverage? I'm your host. Thanks for watching. Yeah, Yeah, yeah, yeah, yeah. Uh, mhm, yeah.

(upbeat music) >> Welcome back to theCUBE's coverage of AWS re:Invent 2021. I'm John Furrier, host of theCUBE. You're watching CUBE's worldwide leader in tech coverage. We're in person on the show floor. It's also a hybrid event, online as well. CUBE coverage online with Amazon re:Invent site. Great content all around, amazing announcements, transformation in all areas are exploding and in innovation, of course, we have innovation here with Sandy Carter, the worldwide public sector vice-president of partners and programs for Amazon Web Services. Sandy, welcome back, CUBE alumni. Great to see you. Thanks for coming on theCUBE. >> Great to see you and great to see you in person again. It's so exciting. The energy level, oh my God. >> Oh my God. It's so much. Thanks, great keynote. Good to see you again in person. A lot of action, give us the top announcements. What's going on? What are the top 10 AWS announcements? >> Yeah, so we, this year for 2022, as we frame it out, we decided on a 3D strategy, a three-dimensional strategy. So we started with destination then data and then delivery. So if I could do them in that order, does that sound good? >> Yeah. Destination. >> So let's start with destination. So I got this from one of the customers and he said to me, "look, Sandy, I thought it was all going to be about getting to the cloud. But when I got to the cloud, I realized it wasn't about just in the cloud, it was about what you do in the cloud." And so we made some announcements this morning, especially around migration, modernization, and optimization. So for migration, we have the mainframe announcement that Adam made, and then we also echoed it. Cause most of the mainframes today sit in public sector. So this is a managed service, it's working with Micro Focus, one of our partners. And Lockheed Martin one of our partners is one of the first into the mainframe migration, which is a service and services to help customers transform their business with the mainframe. And then as we compliment them, we look at that we also have modernization occurring. So for example, IoT. IDC tells us that IoT and that data has increased four times since COVID because now devices and sensors are tracking a lot of data. So we made an announcement around smart cities and we now have badging for our partners. We have 18 partners solutions now in smart cities. So working backwards from the partners they were talking about given now COVID is kind of in the midst of where it is smart cities and making those cities work better in public transportation and utility, it's just all where it's at. And then the final announcement in that category is containers. So 60% of our customers said that they're going to be using containers. So we announced a Rapid Adoption Assistance program for our partners to be able to help our customers move to containers overall. >> So mainframe migration, I saw that on stage, but Micro Focus, that was a good job. Get that legacy out of the way, move to the cloud. You've got smart cities, which is basically IoT, which brings cloud to the edge. And then containerization for the cloud native, either development or compatibility, interoperability kind of sets that table. That's the destination. >> That's right. That's right. Because all of those things, you know, you've got to get the mainframe to the cloud, but then it's about modernizing, right? Getting rid of all that COBOL code and then, you know, IoT and then making sure that you are ready to go with containers. It's the newest- >> So you've got the 3D, destination, data and delivery. >> That's right. >> Okay. Destination, check. Cloud. Cloud destination. >> Yeah. >> I'm putting dots together in real time. >> Destination cloud. There you go. You've got it. >> I'm still with it after all these interviews. >> Yeah, there you go. >> Data, I'll say killer Swami's onstage today, whole new data, multiple databases. What's the data focus in this area? >> So for our partners, first it's about getting the data to the cloud, which means that we need a way to really migrate it. So we announced an initiative to help get that data to the cloud. We had a set of partners that came on with us early on in this initiative to move that data to the cloud, it's called a Rapid Adoption Assistance, which helps you envision where you want to go with your data. Do you want to put it in a data lake? Do you want data stored as it is? What do you want to visualize? What do you want to do with analytics? So envision that and then get enablement. So all the new announcements, all the new services get enablement and then to pilot it. And then the second announcement in this area is a set of private offers in the marketplace. Our customers told us that they love to go after data, but that there's too many pieces and moving parts. So they need the assessment bundled with the managed service and everything bundled together so it's a solution for them. So those were our two announcements in the data area. >> So take me through the private marketplace thing, because this came up when I was talking with Stephen Orban who's now running the marketplace. What does that mean? So you're saying that this private offer is being enabling the suppliers and in government? >> Yeah. So available in the marketplace, a lot of our government agencies can buy from the marketplace. So if they have a contract, they can come and buy. But instead of having to go and say, okay, here's an assessment to tell me what I should do, now here's the offering, and now here's the managed service, they want it bundled together. So we have a set of offerings that have that bundled together today with the set of our great public sector partners. >> So tons of data action, where's the delivery fit in? >> So delivery. This one is very interesting because our customers are telling us that they no longer want just technology skills, they also need industry skills too. So they're looking for that total package. For example, you know, the state of New Jersey when hurricane Ida hit, category four storm, they wanted someone who obviously could leverage all the data, but they wanted someone who understood disaster response. And so Maxar fits that bill. They have that industry specialty along with the technology specialty. And so for our announcements here, we announced a new competency, which is an industry competency for energy. So think about renewables and sustainability and low carbon. These are the partners that do that. We have 32 different partners who met the needs of that energy competency. So we were able to GA that here today. The other really exciting announcement that we made was for small businesses to get extra training, it's called Think Big for Small Business communities. So we announced last year virtually, Think Big for Small Business. We now have about 200 companies who are part of that program, really getting extra help as diverse companies. Women owned, black owned, brown owned, veteran owned businesses, right? But now what they told us was in addition to the AWS help, what they loved is how we connected them together and we almost just stumbled upon it. I was hosting some meetings and I had Tia from Bellflower, I had Lisa from DLZP together and they got a lot of value just being connected. And we kept hearing that over and over and over again. So now we've programmatized that so it's more scalable than me introducing people to each other. We now have a program to introduce those small business leaders to each other. And then the last one that we announced is our AWS government competency is now the largest competency at AWS. So the government competency, which is pretty powerful. So now we're going to do a focus enhancement for federal. So all of our federal partners with all that opportunity can now take advantage of some private advisory council, some additional training that will go on there, additional go-to market support that they can use to help them. >> Okay. I feel like my brain is going to explode. Those are just the announcements here. There's a lot going. >> Yeah. There's a lot going on. >> I mean it's so much you've got to put them into buckets. Okay. What's the rationale around 3D? Delivery, data... I mean, destination, delivery, data. Destination, meaning cloud. Data, meeting data. And delivery meaning just new ways to get up and running- >> Skills. >> To get this delivery for the services. >> Yep. >> Okay. So is there a pattern emerging? What can you say? Cause remember we talked about this before a year ago, as well as in person at your public sector summit with your partners. Is there a pattern emerging that you're seeing here? Cause lots of the announcements are coming, done with the mainframes. Connect on your watch has been a big explosion. Adam Slansky told me personally, it's on fire. And public sector, we saw a lot of that. >> Well, in fact, you know, if you look at public sector, three factoids that we shared this morning in the keynote. Our public sector partners grew 54% this year, this is after last year we grew 45%. They grew the number of certifications that they had by 40% and the number of new customers by 32%. I mean, those are unreal numbers. Last year we did 28% new customers and we thought that was the cat's meow, now we're at 32%. So our partners are just exploding in this public sector space right now. >> It's almost as if they have an advantage because they dragged their feet for so long. >> It's true. It's true. COVID accelerated their movement to the cloud. >> A lot of slow moving verticals because of the legacy and whether it's regulation or government funding or skills- >> Or mainframes. >> All had to basically move fast, they had no excuses. And then the cloud kind of changes everyone's mindset. How about the culture? I want to ask you about the culture in the public sector, because this is coming up a lot. Again, a lot of your customers that I'm interviewing all talk... and I try to get them to talk about horizontally scalable and machine learning, and they're always, no, it's culture. >> Yeah. It's true. >> Culture is the number one thing. >> It is true. You know, culture eats strategy for lunch. So even if you have a great strategy around the cloud, if you don't have that right culture, you won't win in the marketplace. So we are seeing this a lot. In fact, one of our most popular programs is PTP, Partner Transformation Program. And it lays out a hundred day program on cloud best practices. And guess what's the number one topic? Culture. Culture, governance, technology, all of those things are so important right now. And I think because, you know, a lot of the agencies and governments and countries, they had moved to the cloud now that they're in the cloud, they went through that pain during COVID, now they're seeing all the impact of artificial intelligence and containers and blockchain and all of that, right? It's just crazy. >> That's a great insight. And I'll add to that because I think one of the things I've observed, especially with your partners is the fear of getting eliminated by technology or the fear of having a job change or fear of change in general went away once they started using it because they saw the criticality of the cloud and how it impacted their job, but then what it offered them as new opportunities. In fact, it actually increases more areas to innovate on and do more, whether it's job advancement or cross training or lateral moves, promotion, that's a huge retention piece. >> It really is. And I will tell you that the movement to the cloud enabled people to see it wasn't as scary as they thought it was going to be, and that they could still leverage a lot of the skills that they had and learn new ones. So I think it is. And this is one of the reasons why, I was just talking with Maureen launching that 29 million training program for the cloud, that really touches public sector because there is so many agencies, countries, governments that need to have that training. >> You're talking about Maureen Lonergan, she does the training. She's been working on that for years. >> Yeah. >> That's the only getting better and better. >> Yeah. >> Well Sandy, I've got to ask you, since you have a few minutes left, I want to ask you about your journey. >> Yeah. >> We've interviewed you going back a long time look where we are now. >> I know. It's incredible. >> Look at these two sets going on at CUBE. >> You've been an incredible voice on theCUBE. We really appreciate having you on because you're innovative. You're always moving like a shark. You can't sit still. You're always innovating. Still going on, you had the great women's luncheon from 20 to 200. >> Yeah, we grew. So we started out with 20 people back five years ago and now we had about 200 women and it was incredible because we do different topics. Our topic was around empathy and empathetic leadership. And you know how you can really leverage that today, back with the skills and your people. You know, given that Amazon just announced our new leadership principle about wanting to be the Earth's most employee centric company. It fits right in, empathetic leadership. And we had amazing women at that luncheon that told some great stories about empathy that I think will live in our hearts forever. >> And the other thing I want to point out, we had some of the guests on sitting on theCUBE. We had Linda Jojo from United airlines. >> Oh yeah. >> And a little factoid, yesterday in the keynote, 50% of the speakers were women. >> I know. The first time I did a blog post on it, like we had two amazing women in STEM and we had, you know, the black pilot that was highlighted. So it's showing more diversity. So I was just so excited. Thank you Adam, for doing that because I think that was an amazing, amazing focus here at the conference. >> I wanted to bring up a point. I had a note here to bring up to you. Public sector, you guys doubled the number of partners, large migrations this year. That's a big statoid. You've had 575,000 individuals hold active certifications. Okay. That grew 40% from August 2021, clearly a pandemic impact. A lot of people jumping back in getting their certs, migrating so if they're not... They're in between transitions where they have a tailwind or a headwind, whether you're United Airlines or whether you're Zoom, you got some companies were benefiting from the pandemic and some were retooling. That's something that we talked about actually at the beginning. >> That's right. Absolutely. And I do think that those certifications also demonstrate that customers have raised the bar on what they expect from a partner. It's no longer just like that technology input, it's also that industry side. And so you see the number of certifications going up because customers are demanding higher skill level. And by the way, for the partners we conducted a study with ESG and ESG said that more skilled partners, you drive more margin, profit margin, 42% more profit margin for a higher skilled partner. And we're seeing that really come to fruition with some of these really intense focus on getting more certifications and more training. >> I want to get your thoughts on the healthcare and life science. I just got a note here that tells me that the vertical is one of the fastest growing verticals with 105% year on year growth. Healthcare and life sciences, another important... Again, a lot of legacy, a lot of old silos, forced to expand and innovate with the pandemic growing. >> Yes. You know, government is our largest segment today, our largest competency. Healthcare is our fastest growing segment. So we have a big focus there. And like you said, it's not just around, you know, seeing things stay the same. It's about digital transformation. It's one of the reasons we're also seeing such an increase in our authority to operate program both on the government side and the healthcare side. So we do, you know, FedRAMP and IL5. We had six companies that got IL5, five of them in 2021, which is an amazing achievement. And then, you know, if you think about the healthcare side, our fastest growing compliance is HIPAA and HITRUST. And that ATO program really brings best practices and templates and stronger go to market for those partners too. >> Yeah. I mean, I think it's opportunity recognition and then capture during the pandemic with the cloud. More agility, more speed. >> That's right. >> Sandy, always great to have you on. In the last couple of seconds we have left, summarize the top 10 announcements in a bumper sticker. If you had to kind of put that bumper sticker on the car as it drives away from re:Invent this year, what's on that bumper sticker? What's it say? >> Partners that focus on destination, data and delivery will grow faster and add more value to their customers. >> There it is. The three dimension, DDD. Delivery... Destination, data and delivery. >> There you go. >> Here on theCUBE, bringing you all the data live on the ground here, CUBE studios, two sets wall-to-wall coverage. You're watching theCUBE, the leader in global tech coverage. I'm John Furrier your host. Thanks for watching. (soft techno music)

>> Announcer: It's theCUBE! Covering the Virtual Vertica Big Data Conference 2020 brought to you by Vertica. >> Hi, everybody. Welcome back. You're watching theCUBE's coverage of the Vertica Virtual Big Data Conference. It was, of course, going to be in Boston at the Encore Hotel. Win big with big data with the new casino but obviously Coronavirus has changed all that. Our hearts go out and we are empathy to those people who are struggling. We are going to continue our wall-to-wall coverage of this conference and we're here with Larry Lancaster who's the founder and CTO of Zebrium. Larry, welcome to theCUBE. Thanks for coming on. >> Hi, thanks for having me. >> You're welcome. So first question, why did you start Zebrium? >> You know, I've been dealing with machine data a long time. So for those of you who don't know what that is, if you can imagine servers or whatever goes on in a data center or in a SAS shop. There's data coming out of those servers, out of those applications and basically, you can build a lot of cool stuff on that. So there's a lot of metrics that come out and there's a lot of log files that come. And so, I've built this... Basically spent my career building that sort of thing. So tools on top of that or products on top of that. The problem is that since at least log files are completely unstructured, it's always doing the same thing over and over again, which is going in and understanding the data and extracting the data and all that stuff. It's very time consuming. If you've done it like five times you don't want to do it again. So really, my idea was at this point with machine learning where it's at there's got to be a better way. So Zebrium was founded on the notion that we can just do all that automatically. We can take a pile of machine data, we can turn it into a database, and we can build stuff on top of that. And so the company is really all about bringing that value to the market. >> That's cool. I want to get in to that, just better understand who you're disrupting and understand that opportunity better. But before I do, tell us a little bit about your background. You got kind of an interesting background. Lot of tech jobs. Give us some color there. >> Yeah, so I started in the Valley I guess 20 years ago and when my son was born I left grad school. I was in grad school over at Berkeley, Biophysics. And I realized I needed to go get a job so I ended up starting in software and I've been there ever since. I mean, I spent a lot of time at, I guess I cut my teeth at Nedap, which was a storage company. And then I co-founded a business called Glassbeam, which was kind of an ETL database company. And then after that I ended up at Nimble Storage. Another company, EMC, ended up buying the Glassbeam so I went over there and then after Nimble though, which where I build the InfoSight platform. That's where I kind of, after that I was able to step back and take a year and a half and just go into my basement, actually, this is my kind of workspace here, and come up with the technology and actually build it so that I could go raise money and get a team together to build Zebrium. So that's really my career in a nutshell. >> And you've got Hello Kitty over your right shoulder, which is kind of cool >> That's right. >> And then up to the left you got your monitor, right? >> Well, I had it. It's over here, yeah. >> But it was great! Pull it out, pull it out, let me see it. So, okay, so you got that. So what do you do? You just sit there and code all night or what? >> Yeah, that's right. So Hello Kitty's over here. I have a daughter and she setup my workspace here on this side with Hello Kitty and so on. And over on this side, I've got my recliner where I basically lay it all the way back and then I pivot this thing down over my face and put my keyboard on my lap and I can just sit there for like 20 hours. It's great. Completely comfortable. >> That's cool. All right, better put that monitor back or our guys will yell at me. But so, obviously, we're talking to somebody with serious coding chops and I'll also add that the Nimble InfoSight, I think it was one of the best pick ups that HP, HPE, has had in a while. And the thing that interested me about that, Larry, is the ability that the company was able to take that InfoSight and poured it very quickly across its product lines. So that says to me it was a modern, architecture, I'm sure API, microservices, and all those cool buzz words, but the proof is in their ability to bring that IP to other parts of the portfolio. So, well done. >> Yeah, well thanks. Appreciate that. I mean, they've got a fantastic team there. And the other thing that helps is when you have the notion that you don't just build on top of the data, you extract the data, you structure it, you put that in a database, we used Vertica there for that, and then you build on top of that. Taking the time to build that layer is what lets you build a scalable platform. >> Yeah, so, why Vertica? I mean, Vertica's been around for awhile. You remember you had the you had the old RDBMS, Oracles, Db2s, SQL Server, and then the database was kind of a boring market. And then, all of a sudden, you had all of these MPP companies came out, a spade of them. They all got acquired, including Vertica. And they've all sort of disappeared and morphed into different brands and Micro Focus has preserved the Vertica brand. But it seems like Vertica has been able to survive the transitions. Why Vertica? What was it about that platform that was unique and interested you? >> Well, I mean, so they're the first fund to build, what I would call a real column store that's kind of market capable, right? So there was the C-Store project at Berkeley, which Stonebreaker was involved in. And then that became sort of the seed from which Vertica was spawned. So you had this idea of, let's lay things out in a columnar way. And when I say columnar, I don't just mean that the data for every column is in a different set of files. What I mean by that is it takes full advantage of things like run length and coding, and L file and coding, and block--impression, and so you end up with these massive orders of magnitude savings in terms of the data that's being pulled off of storage as well as as it's moving through the pipeline internally in Vertica's query processing. So why am I saying all this? Because it's fundamentally, it was a fundamentally disruptive technology. I think column stores are ubiquitous now in analytics. And I think you could name maybe a couple of projects which are mostly open source who do something like Vertica does but name me another one that's actually capable of serving an enterprise as a relational database. I still think Vertica is unique in being that one. >> Well, it's interesting because you're a startup. And so a lot of startups would say, okay, we're going with a born-in-the-cloud database. Now Vertica touts that, well look, we've embraced cloud. You know, we have, we run in the cloud, we run on PRAM, all different optionality. And you hear a lot of vendors say that, but a lot of times they're just taking their stack and stuffing it into the cloud. But, so why didn't you go with a cloud-native database and is Vertica able to, I mean, obviously, that's why you chose it, but I'm interested from a technologist standpoint as to why you, again, made that choice given all these other choices around there. >> Right, I mean, again, I'm not, so... As I explained a column store, which I think is the appropriate definition, I'm not aware of another cloud-native-- >> Hm, okay. >> I'm aware of other cloud-native transactional databases, I'm not aware of one that has the analytics form it and I've tried some of them. So it was not like I didn't look. What I was actually impressed with and I think what let me move forward using Vertica in our stack is the fact that Eon really is built from the ground up to be cloud-native. And so we've been using Eon almost ever since we started the work that we're doing. So I've been really happy with the performance and with reliability of Eon. >> It's interesting. I've been saying for years that Vertica's a diamond in the rough and it's previous owner didn't know what to do with it because it got distracted and now Micro Focus seems to really see the value and is obviously putting some investments in there. >> Yeah >> Tell me more about your business. Who are you disrupting? Are you kind of disrupting the do-it-yourself? Or is there sort of a big whale out there that you're going to go after? Add some color to that. >> Yeah, so our broader market is monitoring software, that's kind of the high-level category. So you have a lot of people in that market right now. Some of them are entrenched in large players, like Datadog would be a great example. Some of them are smaller upstarts. It's a pretty, it's a pretty saturated market. But what's happened over the last, I'd say two years, is that there's been sort of a push towards what's called observability in terms of at least how some of the products are architected, like Honeycomb, and how some of them are messaged. Most of them are messaged these days. And what that really means is there's been sort of an understanding that's developed that that MTTR is really what people need to focus on to keep their customers happy. If you're a SAS company, MTTR is going to be your bread and butter. And it's still measured in hours and days. And the biggest reason for that is because of what's called unknown unknowns. Because of complexity. Now a days, things are, applications are ten times as complex as they used to be. And what you end up with is a situation where if something is new, if it's a known issue with a known symptom and a known root cause, then you can setup a automation for it. But the ones that really cost a lot of time in terms of service disruption are unknown unknowns. And now you got to go dig into this massive mass of data. So observability is about making tools to help you do that, but it's still going to take you hours. And so our contention is, you need to automate the eyeball. The bottleneck is now the eyeball. And so you have to get away from this notion of a person's going to be able to do it infinitely more efficient and recognize that you need automated help. When you get an alert agent, it shouldn't be that, "Hey, something weird's happening. Now go dig in." It should be, "Here's a root cause and a symptom." And that should be proposed to you by a system that actually does the observing. That actually does the watching. And that's what Zebrium does. >> Yeah, that's awesome. I mean, you're right. The last thing you want is just another alert and it say, "Go figure something out because there's a problem." So how does it work, Larry? In terms of what you built there. Can you take us inside the covers? >> Yeah, sure. So there's really, right now there's two kinds of data that we're ingesting. There's metrics and there's log files. Metrics, there's actually sort of a framework that's really popular in DevOp circles especially but it's becoming popular everywhere, which is called Prometheus. And it's a way of exporting metrics so that scrapers can collect them. And so if you go look at a typical stack, you'll find that most of the open source components and many of the closed source components are going to have exporters that export all their stacks to Prometheus. So by supporting that stack we can bring in all of those metrics. And then there's also the log files. And so you've got host log files in a containerized environment, you've got container logs, and you've got application-specific logs, perhaps living on a host mount. And you want to pull all those back and you want to be able to associate this log that I've collected here is associated with the same container on the same host that this metric is associated with. But now what? So once you've got that, you've got a pile of unstructured logs. So what we do is we take a look at those logs and we say, let's structure those into tables, right? So where I used to have a log message, if I look in my log file and I see it says something like, X happened five times, right? Well, that event types going to occur again and it'll say, X happened six times or X happened three times. So if I see that as a human being, I can say, "Oh clearly, that's the same thing." And what's interesting here is the times that X, that X happened, and that this number read... I may want to know when the numbers happened as a time series, the values of that column. And so you can imagine it as a table. So now I have table for that event type and every time it happens, I get a row. And then I have a column with that number in it. And so now I can do any kind of analytics I want almost instantly across my... If I have all my event types structured that way, every thing changes. You can do real anomaly detection and incident detection on top of that data. So that's really how we go about doing it. How we go about being able to do autonomous monitoring in a way that's effective. >> How do you handle doing that for, like the Spoke app? Do you have to, does somebody have to build a connector to those apps? How do you handle that? >> Yeah, that's a really good question. So you're right. So if I go and install a typical log manager, there'll be connectors for different apps and usually what that means is pulling in the stuff on the left, if you were to be looking at that log line, and it will be things like a time stamp, or a severity, or a function name, or various other things. And so the connector will know how to pull those apart and then the stuff to the right will be considered the message and that'll get indexed for search. And so our approach is we actually go in with machine learning and we structure that whole thing. So there's a table. And it's going to have a column called severity, and timestamp, and function name. And then it's going to have columns that correspond to the parameters that are in that event. And it'll have a name associated with the constant parts of that event. And so you end up with a situation where you've structured all of it automatically so we don't need collectors. It'll work just as well on your home-grown app that has no collectors or no parsers to find or anything. It'll work immediately just as well as it would work on anything else. And that's important, because you can't be asking people for connectors to their own applications. It just, it becomes now they've go to stop what they're doing and go write code for you, for your platform and they have to maintain it. It's just untenable. So you can be up and running with our service in three minutes. It'll just be monitoring those for you. >> That's awesome! I mean, that is really a breakthrough innovation. So, nice. Love to see that hittin' the market. Who do you sell to? Both types of companies and what role within the company? >> Well, definitely there's two main sort of pushes that we've seen, or I should say pulls. One is from DevOps folks, SRE folks. So these are people who are tasked with monitoring an environment, basically. And then you've got people who are in engineering and they have a staging environment. And what they actually find valuable is... Because when we find an incident in a staging environment, yeah, half the time it's because they're tearing everything up and it's not release ready, whatever's in stage. That's fine, they know that. But the other half the time it's new bugs, it's issues and they're finding issues. So it's kind of diverged. You have engineering users and they don't have titles like QA, they're Dev engineers or Dev managers that are really interested. And then you've got DevOps and SRE people there (mumbles). >> And how do I consume your product? Is the SAS... I sign up and you say within three minutes I'm up and running. I'm paying by the drink. >> Well, (laughs) right. So there's a couple ways. So, right. So the easiest way is if you use Kubernetes. So Kubernetes is what's called a container orchestrator. So these days, you know Docker and containers and all that, so now there's container orchestrators have become, I wouldn't say ubiquitous but they're very popular now. So it's kind of on that inflection curve. I'm not exactly sure the penetration but I'm going to say 30-40% probably of shops that were interested are using container orchestrators. So if you're using Kubernetes, basically you can install our Kubernetes chart, which basically means copying and pasting a URL and so on into your little admin panel there. And then it'll just start collecting all the logs and metrics and then you just login on the website. And the way you do that is just go to our website and it'll show you how to sign up for the service and you'll get your little API key and link to the chart and you're off and running. You don't have to do anything else. You can add rules, you can add stuff, but you don't have to. You shouldn't have to, right? You should never have to do any more work. >> That's great. So it's a SAS capability and I just pay for... How do you price it? >> Oh, right. So it's priced on volume, data volume. I don't want to go too much into it because I'm not the pricing guy. But what I'll say is that it's, as far as I know it's as cheap or cheaper than any other log manager or metrics product. It's in that same neighborhood as the very low priced ones. Because right now, we're not trying to optimize for take. We're trying to make a healthy margin and get the value of autonomous monitoring out there. Right now, that's our priority. >> And it's running in the cloud, is that right? AWB West-- >> Yeah, that right. Oh, I should've also pointed out that you can have a free account if it's less than some number of gigabytes a day we're not going to charge. Yeah, so we run in AWS. We have a multi-tenant instance in AWS. And we have a Vertica Eon cluster behind that. And it's been working out really well. >> And on your freemium, you have used the Vertica Community Edition? Because they don't charge you for that, right? So is that how you do it or... >> No, no. We're, no, no. So, I don't want to go into that because I'm not the bizdev guy. But what I'll say is that if you're doing something that winds up being OEM-ish, you can work out the particulars with Vertica. It's not like you're going to just go pay retail and they won't let you distinguish between tests, and prod, and paid, and all that. They'll work with you. Just call 'em up. >> Yeah, and that's why I brought it up because Vertica, they have a community edition, which is not neutered. It runs Eon, it's just there's limits on clusters and storage >> There's limits. >> But it's still fully functional though. >> So to your point, we want it multi-tenant. So it's big just because it's multi-tenant. We have hundred of users on that (audio cuts out). >> And then, what's your partnership with Vertica like? Can we close on that and just describe that a little bit? >> What's it like. I mean, it's pleasant. >> Yeah, I mean (mumbles). >> You know what, so the important thing... Here's what's important. What's important is that I don't have to worry about that layer of our stack. When it comes to being able to get the performance I need, being able to get the economy of scale that I need, being able to get the absolute scale that I need, I've not been disappointed ever with Vertica. And frankly, being able to have acid guarantees and everything else, like a normal mature database that can join lots of tables and still be fast, that's also necessary at scale. And so I feel like it was definitely the right choice to start with. >> Yeah, it's interesting. I remember in the early days of big data a lot of people said, "Who's going to need these acid properties and all this complexity of databases." And of course, acid properties and SQL became the killer features and functions of these databases. >> Who didn't see that one coming, right? >> Yeah, right. And then, so you guys have done a big seed round. You've raised a little over $6 million dollars and you got the product market fit down. You're ready to rock, right? >> Yeah, that's right. So we're doing a launch probably, well, when this airs it'll probably be the day before this airs. Basically, yeah. We've got people... Like literally in the last, I'd say, six to eight weeks, It's just been this sort of pique of interest. All of a sudden, everyone kind of gets what we're doing, realizes they need it, and we've got a solution that seems to meet expectations. So it's like... It's been an amazing... Let me just say this, it's been an amazing start to the year. I mean, at the same time, it's been really difficult for us but more difficult for some other people that haven't been able to go to work over the last couple of weeks and so on. But it's been a good start to the year, at least for our business. So... >> Well, Larry, congratulations on getting the company off the ground and thank you so much for coming on theCUBE and being part of the Virtual Vertica Big Data Conference. >> Thank you very much. >> All right, and thank you everybody for watching. This is Dave Vellante for theCUBE. Keep it right there. We're covering wall-to-wall Virtual Vertica BDC. You're watching theCUBE. (upbeat music)

(upbeat music) >> Narrator: It's theCUBE, covering the Virtual Vertica Big Data Conference 2020. Brought to you by Vertica. >> Dave Vellante: Hello everyone, and welcome to theCUBE's exclusive coverage of the Vertica Virtual Big Data Conference. You're watching theCUBE, the leader in digital event tech coverage. And we're broadcasting remotely from our studios in Palo Alto and Boston. And, we're pleased to be covering wall-to-wall this digital event. Now, as you know, originally BDC was scheduled this week at the new Encore Hotel and Casino in Boston. Their theme was "Win big with big data". Oh sorry, "Win big with data". That's right, got it. And, I know the community was really looking forward to that, you know, meet up. But look, we're making the best of it, given these uncertain times. We wish you and your families good health and safety. And this is the way that we're going to broadcast for the next several months. Now, we want to unpack Colin Mahony's keynote, but, before we do that, I want to give a little context on the market. First, theCUBE has covered every BDC since its inception, since the BDC's inception that is. It's a very intimate event, with a heavy emphasis on user content. Now, historically, the data engineers and DBAs in the Vertica community, they comprised the majority of the content at this event. And, that's going to be the same for this virtual, or digital, production. Now, theCUBE is going to be broadcasting for two days. What we're doing, is we're going to be concurrent with the Virtual BDC. We got practitioners that are coming on the show, DBAs, data engineers, database gurus, we got a security experts coming on, and really a great line up. And, of course, we'll also be hearing from Vertica Execs, Colin Mahony himself right of the keynote, folks from product marketing, partners, and a number of experts, including some from Micro Focus, which is the, of course, owner of Vertica. But I want to take a moment to share a little bit about the history of Vertica. The company, as you know, was founded by Michael Stonebraker. And, Verica started, really they started out as a SQL platform for analytics. It was the first, or at least one of the first, to really nail the MPP column store trend. Not only did Vertica have an early mover advantage in MPP, but the efficiency and scale of its software, relative to traditional DBMS, and also other MPP players, is underscored by the fact that Vertica, and the Vertica brand, really thrives to this day. But, I have to tell you, it wasn't without some pain. And, I'll talk a little bit about that, and really talk about how we got here today. So first, you know, you think about traditional transaction databases, like Oracle or IMBDB tour, or even enterprise data warehouse platforms like Teradata. They were simply not purpose-built for big data. Vertica was. Along with a whole bunch of other players, like Netezza, which was bought by IBM, Aster Data, which is now Teradata, Actian, ParAccel, which was the basis for Redshift, Amazon's Redshift, Greenplum was bought, in the early days, by EMC. And, these companies were really designed to run as massively parallel systems that smoked traditional RDBMS and EDW for particular analytic applications. You know, back in the big data days, I often joked that, like an NFL draft, there was run on MPP players, like when you see a run on polling guards. You know, once one goes, they all start to fall. And that's what you saw with the MPP columnar stores, IBM, EMC, and then HP getting into the game. So, it was like 2011, and Leo Apotheker, he was the new CEO of HP. Frankly, he has no clue, in my opinion, with what to do with Vertica, and totally missed one the biggest trends of the last decade, the data trend, the big data trend. HP picked up Vertica for a song, it wasn't disclosed, but my guess is that it was around 200 million. So, rather than build a bunch of smart tokens around Vertica, which I always call the diamond in the rough, Apotheker basically permanently altered HP for years. He kind of ruined HP, in my view, with a 12 billion dollar purchase of Autonomy, which turned out to be one of the biggest disasters in recent M&A history. HP was forced to spin merge, and ended up selling most of its software to Microsoft, Micro Focus. (laughs) Luckily, during its time at HP, CEO Meg Whitman, largely was distracted with what to do with the mess that she inherited form Apotheker. So, Vertica was left alone. Now, the upshot is Colin Mahony, who was then the GM of Vertica, and still is. By the way, he's really the CEO, and he just doesn't have the title, I actually think they should give that to him. But anyway, he's been at the helm the whole time. And Colin, as you'll see in our interview, is a rockstar, he's got technical and business jobs, people love him in the community. Vertica's culture is really engineering driven and they're all about data. Despite the fact that Vertica is a 15-year-old company, they've really kept pace, and not been polluted by legacy baggage. Vertica, early on, embraced Hadoop and the whole open-source movement. And that helped give it tailwinds. It leaned heavily into cloud, as we're going to talk about further this week. And they got a good story around machine intelligence and AI. So, whereas many traditional database players are really getting hurt, and some are getting killed, by cloud database providers, Vertica's actually doing a pretty good job of servicing its install base, and is in a reasonable position to compete for new workloads. On its last earnings call, the Micro Focus CFO, Stephen Murdoch, he said they're investing 70 to 80 million dollars in two key growth areas, security and Vertica. Now, Micro Focus is running its Suse play on these two parts of its business. What I mean by that, is they're investing and allowing them to be semi-autonomous, spending on R&D and go to market. And, they have no hardware agenda, unlike when Vertica was part of HP, or HPE, I guess HP, before the spin out. Now, let me come back to the big trend in the market today. And there's something going on around analytic databases in the cloud. You've got companies like Snowflake and AWS with Redshift, as we've reported numerous times, and they're doing quite well, they're gaining share, especially of new workloads that are merging, particularly in the cloud native space. They combine scalable compute, storage, and machine learning, and, importantly, they're allowing customers to scale, compute, and storage independent of each other. Why is that important? Because you don't have to buy storage every time you buy compute, or vice versa, in chunks. So, if you can scale them independently, you've got granularity. Vertica is keeping pace. In talking to customers, Vertica is leaning heavily into the cloud, supporting all the major cloud platforms, as we heard from Colin earlier today, adding Google. And, why my research shows that Vertica has some work to do in cloud and cloud native, to simplify the experience, it's more robust in motor stack, which supports many different environments, you know deep SQL, acid properties, and DNA that allows Vertica to compete with these cloud-native database suppliers. Now, Vertica might lose out in some of those native workloads. But, I have to say, my experience in talking with customers, if you're looking for a great MMP column store that scales and runs in the cloud, or on-prem, Vertica is in a very strong position. Vertica claims to be the only MPP columnar store to allow customers to scale, compute, and storage independently, both in the cloud and in hybrid environments on-prem, et cetera, cross clouds, as well. So, while Vertica may be at a disadvantage in a pure cloud native bake-off, it's more robust in motor stack, combined with its multi-cloud strategy, gives Vertica a compelling set of advantages. So, we heard a lot of this from Colin Mahony, who announced Vertica 10.0 in his keynote. He really emphasized Vertica's multi-cloud affinity, it's Eon Mode, which really allows that separation, or scaling of compute, independent of storage, both in the cloud and on-prem. Vertica 10, according to Mahony, is making big bets on in-database machine learning, he talked about that, AI, and along with some advanced regression techniques. He talked about PMML models, Python integration, which was actually something that they talked about doing with Uber and some other customers. Now, Mahony also stressed the trend toward object stores. And, Vertica now supports, let's see S3, with Eon, S3 Eon in Google Cloud, in addition to AWS, and then Pure and HDFS, as well, they all support Eon Mode. Mahony also stressed, as I mentioned earlier, a big commitment to on-prem and the whole cloud optionality thing. So 10.0, according to Colin Mahony, is all about really doubling down on these industry waves. As they say, enabling native PMML models, running them in Vertica, and really doing all the work that's required around ML and AI, they also announced support for TensorFlow. So, object store optionality is important, is what he talked about in Eon Mode, with the news of support for Google Cloud and, as well as HTFS. And finally, a big focus on deployment flexibility. Migration tools, which are a critical focus really on improving ease of use, and you hear this from a lot of customers. So, these are the critical aspects of Vertica 10.0, and an announcement that we're going to be unpacking all week, with some of the experts that I talked about. So, I'm going to close with this. My long-time co-host, John Furrier, and I have talked some time about this new cocktail of innovation. No longer is Moore's law the, really, mainspring of innovation. It's now about taking all these data troves, bringing machine learning and AI into that data to extract insights, and then operationalizing those insights at scale, leveraging cloud. And, one of the things I always look for from cloud is, if you've got a cloud play, you can attract innovation in the form of startups. It's part of the success equation, certainly for AWS, and I think it's one of the challenges for a lot of the legacy on-prem players. Vertica, I think, has done a pretty good job in this regard. And, you know, we're going to look this week for evidence of that innovation. One of the interviews that I'm personally excited about this week, is a new-ish company, I would consider them a startup, called Zebrium. What they're doing, is they're applying AI to do autonomous log monitoring for IT ops. And, I'm interviewing Larry Lancaster, who's their CEO, this week, and I'm going to press him on why he chose to run on Vertica and not a cloud database. This guy is a hardcore tech guru and I want to hear his opinion. Okay, so keep it right there, stay with us. We're all over the Vertica Virtual Big Data Conference, covering in-depth interviews and following all the news. So, theCUBE is going to be interviewing these folks, two days, wall-to-wall coverage, so keep it right there. We're going to be right back with our next guest, right after this short break. This is Dave Vellante and you're watching theCUBE. (upbeat music)

>> Joy: Welcome to the Virtual Big Data Conference. Vertica is so excited to host this event. I'm Joy King, and I'll be your host for today's Big Data Conference Keynote Session. It's my honor and my genuine pleasure to lead Vertica's product and go-to-market strategy. And I'm so lucky to have a passionate and committed team who turned our Vertica BDC event, into a virtual event in a very short amount of time. I want to thank the thousands of people, and yes, that's our true number who have registered to attend this virtual event. We were determined to balance your health, safety and your peace of mind with the excitement of the Vertica BDC. This is a very unique event. Because as I hope you all know, we focus on engineering and architecture, best practice sharing and customer stories that will educate and inspire everyone. I also want to thank our top sponsors for the virtual BDC, Arrow, and Pure Storage. Our partnerships are so important to us and to everyone in the audience. Because together, we get things done faster and better. Now for today's keynote, you'll hear from three very important and energizing speakers. First, Colin Mahony, our SVP and General Manager for Vertica, will talk about the market trends that Vertica is betting on to win for our customers. And he'll share the exciting news about our Vertica 10 announcement and how this will benefit our customers. Then you'll hear from Amy Fowler, VP of strategy and solutions for FlashBlade at Pure Storage. Our partnership with Pure Storage is truly unique in the industry, because together modern infrastructure from Pure powers modern analytics from Vertica. And then you'll hear from John Yovanovich, Director of IT at AT&T, who will tell you about the Pure Vertica Symphony that plays live every day at AT&T. Here we go, Colin, over to you. >> Colin: Well, thanks a lot joy. And, I want to echo Joy's thanks to our sponsors, and so many of you who have helped make this happen. This is not an easy time for anyone. We were certainly looking forward to getting together in person in Boston during the Vertica Big Data Conference and Winning with Data. But I think all of you and our team have done a great job, scrambling and putting together a terrific virtual event. So really appreciate your time. I also want to remind people that we will make both the slides and the full recording available after this. So for any of those who weren't able to join live, that is still going to be available. Well, things have been pretty exciting here. And in the analytic space in general, certainly for Vertica, there's a lot happening. There are a lot of problems to solve, a lot of opportunities to make things better, and a lot of data that can really make every business stronger, more efficient, and frankly, more differentiated. For Vertica, though, we know that focusing on the challenges that we can directly address with our platform, and our people, and where we can actually make the biggest difference is where we ought to be putting our energy and our resources. I think one of the things that has made Vertica so strong over the years is our ability to focus on those areas where we can make a great difference. So for us as we look at the market, and we look at where we play, there are really three recent and some not so recent, but certainly picking up a lot of the market trends that have become critical for every industry that wants to Win Big With Data. We've heard this loud and clear from our customers and from the analysts that cover the market. If I were to summarize these three areas, this really is the core focus for us right now. We know that there's massive data growth. And if we can unify the data silos so that people can really take advantage of that data, we can make a huge difference. We know that public clouds offer tremendous advantages, but we also know that balance and flexibility is critical. And we all need the benefit that machine learning for all the types up to the end data science. We all need the benefits that they can bring to every single use case, but only if it can really be operationalized at scale, accurate and in real time. And the power of Vertica is, of course, how we're able to bring so many of these things together. Let me talk a little bit more about some of these trends. So one of the first industry trends that we've all been following probably now for over the last decade, is Hadoop and specifically HDFS. So many companies have invested, time, money, more importantly, people in leveraging the opportunity that HDFS brought to the market. HDFS is really part of a much broader storage disruption that we'll talk a little bit more about, more broadly than HDFS. But HDFS itself was really designed for petabytes of data, leveraging low cost commodity hardware and the ability to capture a wide variety of data formats, from a wide variety of data sources and applications. And I think what people really wanted, was to store that data before having to define exactly what structures they should go into. So over the last decade or so, the focus for most organizations is figuring out how to capture, store and frankly manage that data. And as a platform to do that, I think, Hadoop was pretty good. It certainly changed the way that a lot of enterprises think about their data and where it's locked up. In parallel with Hadoop, particularly over the last five years, Cloud Object Storage has also given every organization another option for collecting, storing and managing even more data. That has led to a huge growth in data storage, obviously, up on public clouds like Amazon and their S3, Google Cloud Storage and Azure Blob Storage just to name a few. And then when you consider regional and local object storage offered by cloud vendors all over the world, the explosion of that data, in leveraging this type of object storage is very real. And I think, as I mentioned, it's just part of this broader storage disruption that's been going on. But with all this growth in the data, in all these new places to put this data, every organization we talk to is facing even more challenges now around the data silo. Sure the data silos certainly getting bigger. And hopefully they're getting cheaper per bit. But as I said, the focus has really been on collecting, storing and managing the data. But between the new data lakes and many different cloud object storage combined with all sorts of data types from the complexity of managing all this, getting that business value has been very limited. This actually takes me to big bet number one for Team Vertica, which is to unify the data. Our goal, and some of the announcements we have made today plus roadmap announcements I'll share with you throughout this presentation. Our goal is to ensure that all the time, money and effort that has gone into storing that data, all the data turns into business value. So how are we going to do that? With a unified analytics platform that analyzes the data wherever it is HDFS, Cloud Object Storage, External tables in an any format ORC, Parquet, JSON, and of course, our own Native Roth Vertica format. Analyze the data in the right place in the right format, using a single unified tool. This is something that Vertica has always been committed to, and you'll see in some of our announcements today, we're just doubling down on that commitment. Let's talk a little bit more about the public cloud. This is certainly the second trend. It's the second wave maybe of data disruption with object storage. And there's a lot of advantages when it comes to public cloud. There's no question that the public clouds give rapid access to compute storage with the added benefit of eliminating data center maintenance that so many companies, want to get out of themselves. But maybe the biggest advantage that I see is the architectural innovation. The public clouds have introduced so many methodologies around how to provision quickly, separating compute and storage and really dialing-in the exact needs on demand, as you change workloads. When public clouds began, it made a lot of sense for the cloud providers and their customers to charge and pay for compute and storage in the ratio that each use case demanded. And I think you're seeing that trend, proliferate all over the place, not just up in public cloud. That architecture itself is really becoming the next generation architecture for on-premise data centers, as well. But there are a lot of concerns. I think we're all aware of them. They're out there many times for different workloads, there are higher costs. Especially if some of the workloads that are being run through analytics, which tend to run all the time. Just like some of the silo challenges that companies are facing with HDFS, data lakes and cloud storage, the public clouds have similar types of siloed challenges as well. Initially, there was a belief that they were cheaper than data centers, and when you added in all the costs, it looked that way. And again, for certain elastic workloads, that is the case. I don't think that's true across the board overall. Even to the point where a lot of the cloud vendors aren't just charging lower costs anymore. We hear from a lot of customers that they don't really want to tether themselves to any one cloud because of some of those uncertainties. Of course, security and privacy are a concern. We hear a lot of concerns with regards to cloud and even some SaaS vendors around shared data catalogs, across all the customers and not enough separation. But security concerns are out there, you can read about them. I'm not going to jump into that bandwagon. But we hear about them. And then, of course, I think one of the things we hear the most from our customers, is that each cloud stack is starting to feel even a lot more locked in than the traditional data warehouse appliance. And as everybody knows, the industry has been running away from appliances as fast as it can. And so they're not eager to get locked into another, quote, unquote, virtual appliance, if you will, up in the cloud. They really want to make sure they have flexibility in which clouds, they're going to today, tomorrow and in the future. And frankly, we hear from a lot of our customers that they're very interested in eventually mixing and matching, compute from one cloud with, say storage from another cloud, which I think is something that we'll hear a lot more about. And so for us, that's why we've got our big bet number two. we love the cloud. We love the public cloud. We love the private clouds on-premise, and other hosting providers. But our passion and commitment is for Vertica to be able to run in any of the clouds that our customers choose, and make it portable across those clouds. We have supported on-premises and all public clouds for years. And today, we have announced even more support for Vertica in Eon Mode, the deployment option that leverages the separation of compute from storage, with even more deployment choices, which I'm going to also touch more on as we go. So super excited about our big bet number two. And finally as I mentioned, for all the hype that there is around machine learning, I actually think that most importantly, this third trend that team Vertica is determined to address is the need to bring business critical, analytics, machine learning, data science projects into production. For so many years, there just wasn't enough data available to justify the investment in machine learning. Also, processing power was expensive, and storage was prohibitively expensive. But to train and score and evaluate all the different models to unlock the full power of predictive analytics was tough. Today you have those massive data volumes. You have the relatively cheap processing power and storage to make that dream a reality. And if you think about this, I mean with all the data that's available to every company, the real need is to operationalize the speed and the scale of machine learning so that these organizations can actually take advantage of it where they need to. I mean, we've seen this for years with Vertica, going back to some of the most advanced gaming companies in the early days, they were incorporating this with live data directly into their gaming experiences. Well, every organization wants to do that now. And the accuracy for clickability and real time actions are all key to separating the leaders from the rest of the pack in every industry when it comes to machine learning. But if you look at a lot of these projects, the reality is that there's a ton of buzz, there's a ton of hype spanning every acronym that you can imagine. But most companies are struggling, do the separate teams, different tools, silos and the limitation that many platforms are facing, driving, down sampling to get a small subset of the data, to try to create a model that then doesn't apply, or compromising accuracy and making it virtually impossible to replicate models, and understand decisions. And if there's one thing that we've learned when it comes to data, prescriptive data at the atomic level, being able to show end of one as we refer to it, meaning individually tailored data. No matter what it is healthcare, entertainment experiences, like gaming or other, being able to get at the granular data and make these decisions, make that scoring applies to machine learning just as much as it applies to giving somebody a next-best-offer. But the opportunity has never been greater. The need to integrate this end-to-end workflow and support the right tools without compromising on that accuracy. Think about it as no downsampling, using all the data, it really is key to machine learning success. Which should be no surprise then why the third big bet from Vertica is one that we've actually been working on for years. And we're so proud to be where we are today, helping the data disruptors across the world operationalize machine learning. This big bet has the potential to truly unlock, really the potential of machine learning. And today, we're announcing some very important new capabilities specifically focused on unifying the work being done by the data science community, with their preferred tools and platforms, and the volume of data and performance at scale, available in Vertica. Our strategy has been very consistent over the last several years. As I said in the beginning, we haven't deviated from our strategy. Of course, there's always things that we add. Most of the time, it's customer driven, it's based on what our customers are asking us to do. But I think we've also done a great job, not trying to be all things to all people. Especially as these hype cycles flare up around us, we absolutely love participating in these different areas without getting completely distracted. I mean, there's a variety of query tools and data warehouses and analytics platforms in the market. We all know that. There are tools and platforms that are offered by the public cloud vendors, by other vendors that support one or two specific clouds. There are appliance vendors, who I was referring to earlier who can deliver package data warehouse offerings for private data centers. And there's a ton of popular machine learning tools, languages and other kits. But Vertica is the only advanced analytic platform that can do all this, that can bring it together. We can analyze the data wherever it is, in HDFS, S3 Object Storage, or Vertica itself. Natively we support multiple clouds on-premise deployments, And maybe most importantly, we offer that choice of deployment modes to allow our customers to choose the architecture that works for them right now. It still also gives them the option to change move, evolve over time. And Vertica is the only analytics database with end-to-end machine learning that can truly operationalize ML at scale. And I know it's a mouthful. But it is not easy to do all these things. It is one of the things that highly differentiates Vertica from the rest of the pack. It is also why our customers, all of you continue to bet on us and see the value that we are delivering and we will continue to deliver. Here's a couple of examples of some of our customers who are powered by Vertica. It's the scale of data. It's the millisecond response times. Performance and scale have always been a huge part of what we have been about, not the only thing. I think the functionality all the capabilities that we add to the platform, the ease of use, the flexibility, obviously with the deployment. But if you look at some of the numbers they are under these customers on this slide. And I've shared a lot of different stories about these customers. Which, by the way, it still amaze me every time I talk to one and I get the updates, you can see the power and the difference that Vertica is making. Equally important, if you look at a lot of these customers, they are the epitome of being able to deploy Vertica in a lot of different environments. Many of the customers on this slide are not using Vertica just on-premise or just in the cloud. They're using it in a hybrid way. They're using it in multiple different clouds. And again, we've been with them on that journey throughout, which is what has made this product and frankly, our roadmap and our vision exactly what it is. It's been quite a journey. And that journey continues now with the Vertica 10 release. The Vertica 10 release is obviously a massive release for us. But if you look back, you can see that building on that native columnar architecture that started a long time ago, obviously, with the C-Store paper. We built it to leverage that commodity hardware, because it was an architecture that was never tightly integrated with any specific underlying infrastructure. I still remember hearing the initial pitch from Mike Stonebreaker, about the vision of Vertica as a software only solution and the importance of separating the company from hardware innovation. And at the time, Mike basically said to me, "there's so much R&D in innovation that's going to happen in hardware, we shouldn't bake hardware into our solution. We should do it in software, and we'll be able to take advantage of that hardware." And that is exactly what has happened. But one of the most recent innovations that we embraced with hardware is certainly that separation of compute and storage. As I said previously, the public cloud providers offered this next generation architecture, really to ensure that they can provide the customers exactly what they needed, more compute or more storage and charge for each, respectively. The separation of compute and storage, compute from storage is a major milestone in data center architectures. If you think about it, it's really not only a public cloud innovation, though. It fundamentally redefines the next generation data architecture for on-premise and for pretty much every way people are thinking about computing today. And that goes for software too. Object storage is an example of the cost effective means for storing data. And even more importantly, separating compute from storage for analytic workloads has a lot of advantages. Including the opportunity to manage much more dynamic, flexible workloads. And more importantly, truly isolate those workloads from others. And by the way, once you start having something that can truly isolate workloads, then you can have the conversations around autonomic computing, around setting up some nodes, some compute resources on the data that won't affect any of the other data to do some things on their own, maybe some self analytics, by the system, etc. A lot of things that many of you know we've already been exploring in terms of our own system data in the product. But it was May 2018, believe it or not, it seems like a long time ago where we first announced Eon Mode and I want to make something very clear, actually about Eon mode. It's a mode, it's a deployment option for Vertica customers. And I think this is another huge benefit that we don't talk about enough. But unlike a lot of vendors in the market who will dig you and charge you for every single add-on like hit-buy, you name it. You get this with the Vertica product. If you continue to pay support and maintenance, this comes with the upgrade. This comes as part of the new release. So any customer who owns or buys Vertica has the ability to set up either an Enterprise Mode or Eon Mode, which is a question I know that comes up sometimes. Our first announcement of Eon was obviously AWS customers, including the trade desk, AT&T. Most of whom will be speaking here later at the Virtual Big Data Conference. They saw a huge opportunity. Eon Mode, not only allowed Vertica to scale elastically with that specific compute and storage that was needed, but it really dramatically simplified database operations including things like workload balancing, node recovery, compute provisioning, etc. So one of the most popular functions is that ability to isolate the workloads and really allocate those resources without negatively affecting others. And even though traditional data warehouses, including Vertica Enterprise Mode have been able to do lots of different workload isolation, it's never been as strong as Eon Mode. Well, it certainly didn't take long for our customers to see that value across the board with Eon Mode. Not just up in the cloud, in partnership with one of our most valued partners and a platinum sponsor here. Joy mentioned at the beginning. We announced Vertica Eon Mode for Pure Storage FlashBlade in September 2019. And again, just to be clear, this is not a new product, it's one Vertica with yet more deployment options. With Pure Storage, Vertica in Eon mode is not limited in any way by variable cloud, network latency. The performance is actually amazing when you take the benefits of separate and compute from storage and you run it with a Pure environment on-premise. Vertica in Eon Mode has a super smart cache layer that we call the depot. It's a big part of our secret sauce around Eon mode. And combined with the power and performance of Pure's FlashBlade, Vertica became the industry's first advanced analytics platform that actually separates compute and storage for on-premises data centers. Something that a lot of our customers are already benefiting from, and we're super excited about it. But as I said, this is a journey. We don't stop, we're not going to stop. Our customers need the flexibility of multiple public clouds. So today with Vertica 10, we're super proud and excited to announce support for Vertica in Eon Mode on Google Cloud. This gives our customers the ability to use their Vertica licenses on Amazon AWS, on-premise with Pure Storage and on Google Cloud. Now, we were talking about HDFS and a lot of our customers who have invested quite a bit in HDFS as a place, especially to store data have been pushing us to support Eon Mode with HDFS. So as part of Vertica 10, we are also announcing support for Vertica in Eon Mode using HDFS as the communal storage. Vertica's own Roth format data can be stored in HDFS, and actually the full functionality of Vertica is complete analytics, geospatial pattern matching, time series, machine learning, everything that we have in there can be applied to this data. And on the same HDFS nodes, Vertica can actually also analyze data in ORC or Parquet format, using External tables. We can also execute joins between the Roth data the External table holds, which powers a much more comprehensive view. So again, it's that flexibility to be able to support our customers, wherever they need us to support them on whatever platform, they have. Vertica 10 gives us a lot more ways that we can deploy Eon Mode in various environments for our customers. It allows them to take advantage of Vertica in Eon Mode and the power that it brings with that separation, with that workload isolation, to whichever platform they are most comfortable with. Now, there's a lot that has come in Vertica 10. I'm definitely not going to be able to cover everything. But we also introduced complex types as an example. And complex data types fit very well into Eon as well in this separation. They significantly reduce the data pipeline, the cost of moving data between those, a much better support for unstructured data, which a lot of our customers have mixed with structured data, of course, and they leverage a lot of columnar execution that Vertica provides. So you get complex data types in Vertica now, a lot more data, stronger performance. It goes great with the announcement that we made with the broader Eon Mode. Let's talk a little bit more about machine learning. We've been actually doing work in and around machine learning with various extra regressions and a whole bunch of other algorithms for several years. We saw the huge advantage that MPP offered, not just as a sequel engine as a database, but for ML as well. Didn't take as long to realize that there's a lot more to operationalizing machine learning than just those algorithms. It's data preparation, it's that model trade training. It's the scoring, the shaping, the evaluation. That is so much of what machine learning and frankly, data science is about. You do know, everybody always wants to jump to the sexy algorithm and we handle those tasks very, very well. It makes Vertica a terrific platform to do that. A lot of work in data science and machine learning is done in other tools. I had mentioned that there's just so many tools out there. We want people to be able to take advantage of all that. We never believed we were going to be the best algorithm company or come up with the best models for people to use. So with Vertica 10, we support PMML. We can import now and export PMML models. It's a huge step for us around that operationalizing machine learning projects for our customers. Allowing the models to get built outside of Vertica yet be imported in and then applying to that full scale of data with all the performance that you would expect from Vertica. We also are more tightly integrating with Python. As many of you know, we've been doing a lot of open source projects with the community driven by many of our customers, like Uber. And so now with Python we've integrated with TensorFlow, allowing data scientists to build models in their preferred language, to take advantage of TensorFlow. But again, to store and deploy those models at scale with Vertica. I think both these announcements are proof of our big bet number three, and really our commitment to supporting innovation throughout the community by operationalizing ML with that accuracy, performance and scale of Vertica for our customers. Again, there's a lot of steps when it comes to the workflow of machine learning. These are some of them that you can see on the slide, and it's definitely not linear either. We see this as a circle. And companies that do it, well just continue to learn, they continue to rescore, they continue to redeploy and they want to operationalize all that within a single platform that can take advantage of all those capabilities. And that is the platform, with a very robust ecosystem that Vertica has always been committed to as an organization and will continue to be. This graphic, many of you have seen it evolve over the years. Frankly, if we put everything and everyone on here wouldn't fit on a slide. But it will absolutely continue to evolve and grow as we support our customers, where they need the support most. So, again, being able to deploy everywhere, being able to take advantage of Vertica, not just as a business analyst or a business user, but as a data scientists or as an operational or BI person. We want Vertica to be leveraged and used by the broader organization. So I think it's fair to say and I encourage everybody to learn more about Vertica 10, because I'm just highlighting some of the bigger aspects of it. But we talked about those three market trends. The need to unify the silos, the need for hybrid multiple cloud deployment options, the need to operationalize business critical machine learning projects. Vertica 10 has absolutely delivered on those. But again, we are not going to stop. It is our job not to, and this is how Team Vertica thrives. I always joke that the next release is the best release. And, of course, even after Vertica 10, that is also true, although Vertica 10 is pretty awesome. But, you know, from the first line of code, we've always been focused on performance and scale, right. And like any really strong data platform, the execution engine, the optimizer and the execution engine are the two core pieces of that. Beyond Vertica 10, some of the big things that we're already working on, next generation execution engine. We're already actually seeing incredible early performance from this. And this is just one example, of how important it is for an organization like Vertica to constantly go back and re-innovate. Every single release, we do the sit ups and crunches, our performance and scale. How do we improve? And there's so many parts of the core server, there's so many parts of our broader ecosystem. We are constantly looking at coverages of how we can go back to all the code lines that we have, and make them better in the current environment. And it's not an easy thing to do when you're doing that, and you're also expanding in the environment that we are expanding into to take advantage of the different deployments, which is a great segue to this slide. Because if you think about today, we're obviously already available with Eon Mode and Amazon, AWS and Pure and actually MinIO as well. As I talked about in Vertica 10 we're adding Google and HDFS. And coming next, obviously, Microsoft Azure, Alibaba cloud. So being able to expand into more of these environments is really important for the Vertica team and how we go forward. And it's not just running in these clouds, for us, we want it to be a SaaS like experience in all these clouds. We want you to be able to deploy Vertica in 15 minutes or less on these clouds. You can also consume Vertica, in a lot of different ways, on these clouds. As an example, in Amazon Vertica by the Hour. So for us, it's not just about running, it's about taking advantage of the ecosystems that all these cloud providers offer, and really optimizing the Vertica experience as part of them. Optimization, around automation, around self service capabilities, extending our management console, we now have products that like the Vertica Advisor Tool that our Customer Success Team has created to actually use our own smarts in Vertica. To take data from customers that give it to us and help them tune automatically their environment. You can imagine that we're taking that to the next level, in a lot of different endeavors that we're doing around how Vertica as a product can actually be smarter because we all know that simplicity is key. There just aren't enough people in the world who are good at managing data and taking it to the next level. And of course, other things that we all hear about, whether it's Kubernetes and containerization. You can imagine that that probably works very well with the Eon Mode and separating compute and storage. But innovation happens everywhere. We innovate around our community documentation. Many of you have taken advantage of the Vertica Academy. The numbers there are through the roof in terms of the number of people coming in and certifying on it. So there's a lot of things that are within the core products. There's a lot of activity and action beyond the core products that we're taking advantage of. And let's not forget why we're here, right? It's easy to talk about a platform, a data platform, it's easy to jump into all the functionality, the analytics, the flexibility, how we can offer it. But at the end of the day, somebody, a person, she's got to take advantage of this data, she's got to be able to take this data and use this information to make a critical business decision. And that doesn't happen unless we explore lots of different and frankly, new ways to get that predictive analytics UI and interface beyond just the standard BI tools in front of her at the right time. And so there's a lot of activity, I'll tease you with that going on in this organization right now about how we can do that and deliver that for our customers. We're in a great position to be able to see exactly how this data is consumed and used and start with this core platform that we have to go out. Look, I know, the plan wasn't to do this as a virtual BDC. But I really appreciate you tuning in. Really appreciate your support. I think if there's any silver lining to us, maybe not being able to do this in person, it's the fact that the reach has actually gone significantly higher than what we would have been able to do in person in Boston. We're certainly looking forward to doing a Big Data Conference in the future. But if I could leave you with anything, know this, since that first release for Vertica, and our very first customers, we have been very consistent. We respect all the innovation around us, whether it's open source or not. We understand the market trends. We embrace those new ideas and technologies and for us true north, and the most important thing is what does our customer need to do? What problem are they trying to solve? And how do we use the advantages that we have without disrupting our customers? But knowing that you depend on us to deliver that unified analytics strategy, it will deliver that performance of scale, not only today, but tomorrow and for years to come. We've added a lot of great features to Vertica. I think we've said no to a lot of things, frankly, that we just knew we wouldn't be the best company to deliver. When we say we're going to do things we do them. Vertica 10 is a perfect example of so many of those things that we from you, our customers have heard loud and clear, and we have delivered. I am incredibly proud of this team across the board. I think the culture of Vertica, a customer first culture, jumping in to help our customers win no matter what is also something that sets us massively apart. I hear horror stories about support experiences with other organizations. And people always seem to be amazed at Team Vertica's willingness to jump in or their aptitude for certain technical capabilities or understanding the business. And I think sometimes we take that for granted. But that is the team that we have as Team Vertica. We are incredibly excited about Vertica 10. I think you're going to love the Virtual Big Data Conference this year. I encourage you to tune in. Maybe one other benefit is I know some people were worried about not being able to see different sessions because they were going to overlap with each other well now, even if you can't do it live, you'll be able to do those sessions on demand. Please enjoy the Vertica Big Data Conference here in 2020. Please you and your families and your co-workers be safe during these times. I know we will get through it. And analytics is probably going to help with a lot of that and we already know it is helping in many different ways. So believe in the data, believe in data's ability to change the world for the better. And thank you for your time. And with that, I am delighted to now introduce Micro Focus CEO Stephen Murdoch to the Vertica Big Data Virtual Conference. Thank you Stephen. >> Stephen: Hi, everyone, my name is Stephen Murdoch. I have the pleasure and privilege of being the Chief Executive Officer here at Micro Focus. Please let me add my welcome to the Big Data Conference. And also my thanks for your support, as we've had to pivot to this being virtual rather than a physical conference. Its amazing how quickly we all reset to a new normal. I certainly didn't expect to be addressing you from my study. Vertica is an incredibly important part of Micro Focus family. Is key to our goal of trying to enable and help customers become much more data driven across all of their IT operations. Vertica 10 is a huge step forward, we believe. It allows for multi-cloud innovation, genuinely hybrid deployments, begin to leverage machine learning properly in the enterprise, and also allows the opportunity to unify currently siloed lakes of information. We operate in a very noisy, very competitive market, and there are people, who are in that market who can do some of those things. The reason we are so excited about Vertica is we genuinely believe that we are the best at doing all of those things. And that's why we've announced publicly, you're under executing internally, incremental investment into Vertica. That investments targeted at accelerating the roadmaps that already exist. And getting that innovation into your hands faster. This idea is speed is key. It's not a question of if companies have to become data driven organizations, it's a question of when. So that speed now is really important. And that's why we believe that the Big Data Conference gives a great opportunity for you to accelerate your own plans. You will have the opportunity to talk to some of our best architects, some of the best development brains that we have. But more importantly, you'll also get to hear from some of our phenomenal Roth Data customers. You'll hear from Uber, from the Trade Desk, from Philips, and from AT&T, as well as many many others. And just hearing how those customers are using the power of Vertica to accelerate their own, I think is the highlight. And I encourage you to use this opportunity to its full. Let me close by, again saying thank you, we genuinely hope that you get as much from this virtual conference as you could have from a physical conference. And we look forward to your engagement, and we look forward to hearing your feedback. With that, thank you very much. >> Joy: Thank you so much, Stephen, for joining us for the Vertica Big Data Conference. Your support and enthusiasm for Vertica is so clear, and it makes a big difference. Now, I'm delighted to introduce Amy Fowler, the VP of Strategy and Solutions for FlashBlade at Pure Storage, who was one of our BDC Platinum Sponsors, and one of our most valued partners. It was a proud moment for me, when we announced Vertica in Eon mode for Pure Storage FlashBlade and we became the first analytics data warehouse that separates compute from storage for on-premise data centers. Thank you so much, Amy, for joining us. Let's get started. >> Amy: Well, thank you, Joy so much for having us. And thank you all for joining us today, virtually, as we may all be. So, as we just heard from Colin Mahony, there are some really interesting trends that are happening right now in the big data analytics market. From the end of the Hadoop hype cycle, to the new cloud reality, and even the opportunity to help the many data science and machine learning projects move from labs to production. So let's talk about these trends in the context of infrastructure. And in particular, look at why a modern storage platform is relevant as organizations take on the challenges and opportunities associated with these trends. The answer is the Hadoop hype cycles left a lot of data in HDFS data lakes, or reservoirs or swamps depending upon the level of the data hygiene. But without the ability to get the value that was promised from Hadoop as a platform rather than a distributed file store. And when we combine that data with the massive volume of data in Cloud Object Storage, we find ourselves with a lot of data and a lot of silos, but without a way to unify that data and find value in it. Now when you look at the infrastructure data lakes are traditionally built on, it is often direct attached storage or data. The approach that Hadoop took when it entered the market was primarily bound by the limits of networking and storage technologies. One gig ethernet and slower spinning disk. But today, those barriers do not exist. And all FlashStorage has fundamentally transformed how data is accessed, managed and leveraged. The need for local data storage for significant volumes of data has been largely mitigated by the performance increases afforded by all Flash. At the same time, organizations can achieve superior economies of scale with that segregation of compute and storage. With compute and storage, you don't always scale in lockstep. Would you want to add an engine to the train every time you add another boxcar? Probably not. But from a Pure Storage perspective, FlashBlade is uniquely architected to allow customers to achieve better resource utilization for compute and storage, while at the same time, reducing complexity that has arisen from the siloed nature of the original big data solutions. The second and equally important recent trend we see is something I'll call cloud reality. The public clouds made a lot of promises and some of those promises were delivered. But cloud economics, especially usage based and elastic scaling, without the control that many companies need to manage the financial impact is causing a lot of issues. In addition, the risk of vendor lock-in from data egress, charges, to integrated software stacks that can't be moved or deployed on-premise is causing a lot of organizations to back off the all the way non-cloud strategy, and move toward hybrid deployments. Which is kind of funny in a way because it wasn't that long ago that there was a lot of talk about no more data centers. And for example, one large retailer, I won't name them, but I'll admit they are my favorites. They several years ago told us they were completely done with on-prem storage infrastructure, because they were going 100% to the cloud. But they just deployed FlashBlade for their data pipelines, because they need predictable performance at scale. And the all cloud TCO just didn't add up. Now, that being said, well, there are certainly challenges with the public cloud. It has also brought some things to the table that we see most organizations wanting. First of all, in a lot of cases applications have been built to leverage object storage platforms like S3. So they need that object protocol, but they may also need it to be fast. And the said object may be oxymoron only a few years ago, and this is an area of the market where Pure and FlashBlade have really taken a leadership position. Second, regardless of where the data is physically stored, organizations want the best elements of a cloud experience. And for us, that means two main things. Number one is simplicity and ease of use. If you need a bunch of storage experts to run the system, that should be considered a bug. The other big one is the consumption model. The ability to pay for what you need when you need it, and seamlessly grow your environment over time totally nondestructively. This is actually pretty huge and something that a lot of vendors try to solve for with finance programs. But no finance program can address the pain of a forklift upgrade, when you need to move to next gen hardware. To scale nondestructively over long periods of time, five to 10 years plus is a crucial architectural decisions need to be made at the outset. Plus, you need the ability to pay as you use it. And we offer something for FlashBlade called Pure as a Service, which delivers exactly that. The third cloud characteristic that many organizations want is the option for hybrid. Even if that is just a DR site in the cloud. In our case, that means supporting appplication of S3, at the AWS. And the final trend, which to me represents the biggest opportunity for all of us, is the need to help the many data science and machine learning projects move from labs to production. This means bringing all the machine learning functions and model training to the data, rather than moving samples or segments of data to separate platforms. As we all know, machine learning needs a ton of data for accuracy. And there is just too much data to retrieve from the cloud for every training job. At the same time, predictive analytics without accuracy is not going to deliver the business advantage that everyone is seeking. You can kind of visualize data analytics as it is traditionally deployed as being on a continuum. With that thing, we've been doing the longest, data warehousing on one end, and AI on the other end. But the way this manifests in most environments is a series of silos that get built up. So data is duplicated across all kinds of bespoke analytics and AI, environments and infrastructure. This creates an expensive and complex environment. So historically, there was no other way to do it because some level of performance is always table stakes. And each of these parts of the data pipeline has a different workload profile. A single platform to deliver on the multi dimensional performances, diverse set of applications required, that didn't exist three years ago. And that's why the application vendors pointed you towards bespoke things like DAS environments that we talked about earlier. And the fact that better options exists today is why we're seeing them move towards supporting this disaggregation of compute and storage. And when it comes to a platform that is a better option, one with a modern architecture that can address the diverse performance requirements of this continuum, and allow organizations to bring a model to the data instead of creating separate silos. That's exactly what FlashBlade is built for. Small files, large files, high throughput, low latency and scale to petabytes in a single namespace. And this is importantly a single rapid space is what we're focused on delivering for our customers. At Pure, we talk about it in the context of modern data experience because at the end of the day, that's what it's really all about. The experience for your teams in your organization. And together Pure Storage and Vertica have delivered that experience to a wide range of customers. From a SaaS analytics company, which uses Vertica on FlashBlade to authenticate the quality of digital media in real time, to a multinational car company, which uses Vertica on FlashBlade to make thousands of decisions per second for autonomous cars, or a healthcare organization, which uses Vertica on FlashBlade to enable healthcare providers to make real time decisions that impact lives. And I'm sure you're all looking forward to hearing from John Yavanovich from AT&T. To hear how he's been doing this with Vertica and FlashBlade as well. He's coming up soon. We have been really excited to build this partnership with Vertica. And we're proud to provide the only on-premise storage platform validated with Vertica Eon Mode. And deliver this modern data experience to our customers together. Thank you all so much for joining us today. >> Joy: Amy, thank you so much for your time and your insights. Modern infrastructure is key to modern analytics, especially as organizations leverage next generation data center architectures, and object storage for their on-premise data centers. Now, I'm delighted to introduce our last speaker in our Vertica Big Data Conference Keynote, John Yovanovich, Director of IT for AT&T. Vertica is so proud to serve AT&T, and especially proud of the harmonious impact we are having in partnership with Pure Storage. John, welcome to the Virtual Vertica BDC. >> John: Thank you joy. It's a pleasure to be here. And I'm excited to go through this presentation today. And in a unique fashion today 'cause as I was thinking through how I wanted to present the partnership that we have formed together between Pure Storage, Vertica and AT&T, I want to emphasize how well we all work together and how these three components have really driven home, my desire for a harmonious to use your word relationship. So, I'm going to move forward here and with. So here, what I'm going to do the theme of today's presentation is the Pure Vertica Symphony live at AT&T. And if anybody is a Westworld fan, you can appreciate the sheet music on the right hand side. What we're going to what I'm going to highlight here is in a musical fashion, is how we at AT&T leverage these technologies to save money to deliver a more efficient platform, and to actually just to make our customers happier overall. So as we look back, and back as early as just maybe a few years ago here at AT&T, I realized that we had many musicians to help the company. Or maybe you might want to call them data scientists, or data analysts. For the theme we'll stay with musicians. None of them were singing or playing from the same hymn book or sheet music. And so what we had was many organizations chasing a similar dream, but not exactly the same dream. And, best way to describe that is and I think with a lot of people this might resonate in your organizations. How many organizations are chasing a customer 360 view in your company? Well, I can tell you that I have at least four in my company. And I'm sure there are many that I don't know of. That is our problem because what we see is a repetitive sourcing of data. We see a repetitive copying of data. And there's just so much money to be spent. This is where I asked Pure Storage and Vertica to help me solve that problem with their technologies. What I also noticed was that there was no coordination between these departments. In fact, if you look here, nobody really wants to play with finance. Sales, marketing and care, sure that you all copied each other's data. But they actually didn't communicate with each other as they were copying the data. So the data became replicated and out of sync. This is a challenge throughout, not just my company, but all companies across the world. And that is, the more we replicate the data, the more problems we have at chasing or conquering the goal of single version of truth. In fact, I kid that I think that AT&T, we actually have adopted the multiple versions of truth, techno theory, which is not where we want to be, but this is where we are. But we are conquering that with the synergies between Pure Storage and Vertica. This is what it leaves us with. And this is where we are challenged and that if each one of our siloed business units had their own stories, their own dedicated stories, and some of them had more money than others so they bought more storage. Some of them anticipating storing more data, and then they really did. Others are running out of space, but can't put anymore because their bodies aren't been replenished. So if you look at it from this side view here, we have a limited amount of compute or fixed compute dedicated to each one of these silos. And that's because of the, wanting to own your own. And the other part is that you are limited or wasting space, depending on where you are in the organization. So there were the synergies aren't just about the data, but actually the compute and the storage. And I wanted to tackle that challenge as well. So I was tackling the data. I was tackling the storage, and I was tackling the compute all at the same time. So my ask across the company was can we just please play together okay. And to do that, I knew that I wasn't going to tackle this by getting everybody in the same room and getting them to agree that we needed one account table, because they will argue about whose account table is the best account table. But I knew that if I brought the account tables together, they would soon see that they had so much redundancy that I can now start retiring data sources. I also knew that if I brought all the compute together, that they would all be happy. But I didn't want them to tackle across tackle each other. And in fact that was one of the things that all business units really enjoy. Is they enjoy the silo of having their own compute, and more or less being able to control their own destiny. Well, Vertica's subclustering allows just that. And this is exactly what I was hoping for, and I'm glad they've brought through. And finally, how did I solve the problem of the single account table? Well when you don't have dedicated storage, and you can separate compute and storage as Vertica in Eon Mode does. And we store the data on FlashBlades, which you see on the left and right hand side, of our container, which I can describe in a moment. Okay, so what we have here, is we have a container full of compute with all the Vertica nodes sitting in the middle. Two loader, we'll call them loader subclusters, sitting on the sides, which are dedicated to just putting data onto the FlashBlades, which is sitting on both ends of the container. Now today, I have two dedicated storage or common dedicated might not be the right word, but two storage racks one on the left one on the right. And I treat them as separate storage racks. They could be one, but i created them separately for disaster recovery purposes, lashing work in case that rack were to go down. But that being said, there's no reason why I'm probably going to add a couple of them here in the future. So I can just have a, say five to 10, petabyte storage, setup, and I'll have my DR in another 'cause the DR shouldn't be in the same container. Okay, but I'll DR outside of this container. So I got them all together, I leveraged subclustering, I leveraged separate and compute. I was able to convince many of my clients that they didn't need their own account table, that they were better off having one. I eliminated, I reduced latency, I reduced our ticketing I reduce our data quality issues AKA ticketing okay. I was able to expand. What is this? As work. I was able to leverage elasticity within this cluster. As you can see, there are racks and racks of compute. We set up what we'll call the fixed capacity that each of the business units needed. And then I'm able to ramp up and release the compute that's necessary for each one of my clients based on their workloads throughout the day. And so while they compute to the right before you see that the instruments have already like, more or less, dedicated themselves towards all those are free for anybody to use. So in essence, what I have, is I have a concert hall with a lot of seats available. So if I want to run a 10 chair Symphony or 80, chairs, Symphony, I'm able to do that. And all the while, I can also do the same with my loader nodes. I can expand my loader nodes, to actually have their own Symphony or write all to themselves and not compete with any other workloads of the other clusters. What does that change for our organization? Well, it really changes the way our database administrators actually do their jobs. This has been a big transformation for them. They have actually become data conductors. Maybe you might even call them composers, which is interesting, because what I've asked them to do is morph into less technology and more workload analysis. And in doing so we're able to write auto-detect scripts, that watch the queues, watch the workloads so that we can help ramp up and trim down the cluster and subclusters as necessary. There has been an exciting transformation for our DBAs, who I need to now classify as something maybe like DCAs. I don't know, I have to work with HR on that. But I think it's an exciting future for their careers. And if we bring it all together, If we bring it all together, and then our clusters, start looking like this. Where everything is moving in harmonious, we have lots of seats open for extra musicians. And we are able to emulate a cloud experience on-prem. And so, I want you to sit back and enjoy the Pure Vertica Symphony live at AT&T. (soft music) >> Joy: Thank you so much, John, for an informative and very creative look at the benefits that AT&T is getting from its Pure Vertica symphony. I do really like the idea of engaging HR to change the title to Data Conductor. That's fantastic. I've always believed that music brings people together. And now it's clear that analytics at AT&T is part of that musical advantage. So, now it's time for a short break. And we'll be back for our breakout sessions, beginning at 12 pm Eastern Daylight Time. We have some really exciting sessions planned later today. And then again, as you can see on Wednesday. Now because all of you are already logged in and listening to this keynote, you already know the steps to continue to participate in the sessions that are listed here and on the previous slide. In addition, everyone received an email yesterday, today, and you'll get another one tomorrow, outlining the simple steps to register, login and choose your session. If you have any questions, check out the emails or go to www.vertica.com/bdc2020 for the logistics information. There are a lot of choices and that's always a good thing. Don't worry if you want to attend one or more or can't listen to these live sessions due to your timezone. All the sessions, including the Q&A sections will be available on demand and everyone will have access to the recordings as well as even more pre-recorded sessions that we'll post to the BDC website. Now I do want to leave you with two other important sites. First, our Vertica Academy. Vertica Academy is available to everyone. And there's a variety of very technical, self-paced, on-demand training, virtual instructor-led workshops, and Vertica Essentials Certification. And it's all free. Because we believe that Vertica expertise, helps everyone accelerate their Vertica projects and the advantage that those projects deliver. Now, if you have questions or want to engage with our Vertica engineering team now, we're waiting for you on the Vertica forum. We'll answer any questions or discuss any ideas that you might have. Thank you again for joining the Vertica Big Data Conference Keynote Session. Enjoy the rest of the BDC because there's a lot more to come

>> From Cambridge, Massachusetts, it's theCUBE, covering MIT Chief Data Officer and Information Quality Symposium 2019, brought to you by SiliconANGLE Media. >> Welcome back to Cambridge, Massachusetts everybody, you're watching The Cube, the leader in tech coverage. My name is Dave Vellante here with my cohost Paul Gillin. This is day one of our two day coverage of the MIT CDOIQ conferences. CDO, Chief Data Officer, IQ, information quality. Colin Mahoney is here, he's a good friend and long time CUBE alum. I haven't seen you in awhile, >> I know >> But thank you so much for taking some time, you're like a special guest here >> Thank you, yeah it's great to be here, thank you. >> Yeah, so, this is not, you know, something that you would normally attend. I caught up with you, invited you in. This conference has started as, like back office governance, information quality, kind of wonky stuff, hidden. And then when the big data meme took off, kind of around the time we met. The Chief Data Officer role emerged, the whole Hadoop thing exploded, and then this conference kind of got bigger and bigger and bigger. Still intimate, but very high level, very senior. It's kind of come full circle as we've been saying, you know, information quality still matters. You have been in this data business forever, so I wanted to invite you in just to get your perspectives, we'll talk about what's new with what's going on in your company, but let's go back a little bit. When we first met and even before, you saw it coming, you kind of invested your whole career into data. So, take us back 10 years, I mean it was so different, remember it was Batch, it was Hadoop, but it was cool. There was a lot of cool >> It's still cool. (laughs) projects going on, and it's still cool. But, take a look back. >> Yeah, so it's changed a lot, look, I got into it a while ago, I've always loved data, I had no idea, the explosion and the three V's of data that we've seen over the last decade. But, data's really important, and it's just going to get more and more important. But as I look back I think what's really changed, and even if you just go back a decade I mean, there's an insatiable appetite for data. And that is not slowing down, it hasn't slowed down at all, and I think everybody wants that perfect solution that they can ask any question and get an immediate answers to. We went through the Hadoop boom, I'd argue that we're going through the Hadoop bust, but what people actually want is still the same. You know, they want real answers, accurate answers, they want them quickly, and they want it against all their information and all their data. And I think that Hadoop evolved a lot as well, you know, it started as one thing 10 years ago, with MapReduce and I think in the end what it's really been about is disrupting the storage market. But if you really look at what's disrupting storage right now, public clouds, S3, right? That's the new data league. So there's always a lot of hype cycles, everybody talks about you know, now it's Cloud, everything, for maybe the last 10 years it was a lot of Hadoop, but at the end of the day I think what people want to do with data is still very much the same. And a lot of companies are still struggling with it, hence the role for Chief Data Officers to really figure out how do I monetize data on the one hand and how to I protect that asset on the other hand. >> Well so, and the cool this is, so this conference is not a tech conference, really. And we love tech, we love talking about this, this is why I love having you on. We kind of have a little Vertica thread that I've created here, so Colin essentially, is the current CEO of Vertica, I know that's not your title, you're GM and Senior Vice President, but you're running Vertica. So, Michael Stonebreaker's coming on tomorrow, >> Yeah, excellent. >> Chris Lynch is coming on tomorrow, >> Oh, great, yeah. >> we've got Andy Palmer >> Awesome, yeah. >> coming up as well. >> Pretty cool. (laughs) >> So we have this connection, why is that important? It's because, you know, Vertica is a very cool company and is all about data, and it was all about disrupting, sort of the traditional relational database. It's kind of doing more with data, and if you go back to the roots of Vertica, it was like how do you do things faster? How do you really take advantage of data to really drive new business? And that's kind of what it's all about. And the tech behind it is really cool, we did your conference for many, many years. >> It's coming back by the way. >> Is it? >> Yeah, this March, so March 30th. >> Oh, wow, mark that down. >> At Boston, at the new Encore Hotel. >> Well we better have theCUBE there, bro. (laughs) >> Yeah, that's great. And yeah, you've done that conference >> Yep. >> haven't you before? So very cool customers, kind of leading edge, so I want to get to some of that, but let's talk the disruption for a minute. So you guys started with the whole architecture, MPP and so forth. And you talked about Cloud, Cloud really disrupted Hadoop. What are some of the other technology disruptions that you're seeing in the market space? >> I think, I mean, you know, it's hard not to talk about AI machine learning, and what one means versus the other, who knows right? But I think one thing that is definitely happening is people are leveraging the volumes of data and they're trying to use all the processing power and storage power that we have to do things that humans either are too expensive to do or simply can't do at the same speed and scale. And so, I think we're going through a renaissance where a lot more is being automated, certainly on the Vertica roadmap, and our path has always been initially to get the data in and then we want the platform to do a lot more for our customers, lots more analytics, lots more machine-learning in the platform. So that's definitely been a lot of the buzz around, but what's really funny is when you talk to a lot of customers they're still struggling with just some basic stuff. Forget about the predictive thing, first you've got to get to what happened in the past. Let's give accurate reporting on what's actually happening. The other big thing I think as a disruption is, I think IOT, for all the hype that it's getting it's very real. And every device is kicking off lots of information, the feedback loop of AB testing or quality testing for predictive maintenance, it's happening almost instantly. And so you're getting massive amounts of new data coming in, it's all this machine sensor type data, you got to figure out what it means really quick, and then you actually have to do something and act on it within seconds. And that's a whole new area for so many people. It's not their traditional enterprise data network warehouse and you know, back to you comment on Stonebreaker, he got a lot of this right from the beginning, you know, and I think he looked at the architectures, he took a lot of the best in class designs, we didn't necessarily invent everything, but we put a lot of that together. And then I think the other you've got to do is constantly re-invent your platform. We came out with our Eon Mode to run cloud native, we just got rated the best cloud data warehouse from a net promoter score rating perspective, so, but we got to keep going you know, we got to keep re-inventing ourselves, but leverage everything that we've done in the past as well. >> So one of the things that you said, which is kind of relevant for here, Paul, is you're still seeing a real data quality issue that customers are wrestling with, and that's a big theme here, isn't it? >> Absolutely, and the, what goes around comes around, as Dave said earlier, we're still talking about information quality 13 years after this conference began. Have the tools to improve quality improved all that much? >> I think the tools have improved, I think that's another area where machine learning, if you look at Tamr, and I know you're going to have Andy here tomorrow, they're leveraging a lot of the augmented things you can do with the processing to make it better. But I think one thing that makes the problem worse now, is it's gotten really easy to pour data in. It's gotten really easy to store data without having to have the right structure, the right quality, you know, 10 years ago, 20 years ago, everything was perfect before it got into the platform. Right, everything was, there was quality, everything was there. What's been happening over the last decade is you're pumping data into these systems, nobody knows if it's redundant data, nobody knows if the quality's any good, and the amount of data is massive. >> And it's cheap to store >> Very cheap to store. >> So people keep pumping it in. >> But I think that creates a lot of issues when it comes to data quality. So, I do think the technology's gotten better, I think there's a lot of companies that are doing a great job with it, but I think the challenge has definitely upped. >> So, go ahead. >> I'm sorry. You mentioned earlier that we're seeing the death of Hadoop, but I'd like you to elaborate on that becuase (Dave laughs) Hadoop actually came up this morning in the keynote, it's part of what GlaxoSmithKline did. Came up in a conversation I had with the CEO of Experian last week, I mean, it's still out there, why do you think it's in decline? >> I think, I mean first of all if you look at the Hadoop vendors that are out there, they've all been struggling. I mean some of them are shutting down, two of them have merged and they've got killed lately. I think there are some very successful implementations of Hadoop. I think Hadoop as a storage environment is wonderful, I think you can process a lot of data on Hadoop, but the problem with Hadoop is it became the panacea that was going to solve all things data. It was going to be the database, it was going to be the data warehouse, it was going to do everything. >> That's usually the kiss of death, isn't it? >> It's the kiss of death. And it, you know, the killer app on Hadoop, ironically, became SQL. I mean, SQL's the killer app on Hadoop. If you want to SQL engine, you don't need Hadoop. But what we did was, in the beginning Mike sort of made fun of it, Stonebreaker, and joked a lot about he's heard of MapReduce, it's called Group By, (Dave laughs) and that created a lot of tension between the early Vertica and Hadoop. I think, in the end, we embraced it. We sit next to Hadoop, we sit on top of Hadoop, we sit behind it, we sit in front of it, it's there. But I think what the reality check of the industry has been, certainly by the business folks in these companies is it has not fulfilled all the promises, it has not fulfilled a fraction on the promises that they bet on, and so they need to figure those things out. So I don't think it's going to go away completely, but I think its best success has been disrupting the storage market, and I think there's some much larger disruptions of technologies that frankly are better than HTFS to do that. >> And the Cloud was a gamechanger >> And a lot of them are in the cloud. >> Which is ironic, 'cause you know, cloud era, (Colin laughs) they didn't really have a cloud strategy, neither did Hortonworks, neither did MapR and, it just so happened Amazon had one, Google had one, and Microsoft has one, so, it's just convenient to-- >> Well, how is that affecting your business? We've seen this massive migration to the cloud (mumbles) >> It's actually been great for us, so one of the things about Vertica is we run everywhere, and we made a decision a while ago, we had our own data warehouse as a service offering. It might have been ahead of its time, never really took off, what we did instead is we pivoted and we say "you know what? "We're going to invest in that experience "so it's a SaaS-like experience, "but we're going to let our customers "have full control over the cloud. "And if they want to go to Amazon they can, "if they want to go to Google they can, "if they want to go to Azure they can." And we really invested in that and that experience. We're up on the Amazon marketplace, we have lots of customers running up on Amazon Cloud as well as Google and Azure now, and then about two years ago we went down and did this endeavor to completely re-architect our product so that we could separate compute and storage so that our customers could actually take advantage of the cloud economics as well. That's been huge for us, >> So you scale independent-- >> Scale independently, cloud native, add compute, take away compute, and for our existing customers, they're loving the hybrid aspect, they love that they can still run on Premise, they love that they can run up on a public cloud, they love that they can run in both places. So we will continue to invest a lot in that. And it is really, really important, and frankly, I think cloud has helped Vertica a lot, because being able to provision hardware quickly, being able to tie in to these public clouds, into our customers' accounts, give them control, has been great and we're going to continue on that path. >> Because Vertica's an ISV, I mean you're a software company. >> We're a software company. >> I know you were a part of HP for a while, and HP wanted to mash that in and run it on it's hardware, but software runs great in the cloud. And then to you it's another hardware platform. >> It's another hardware platform, exactly. >> So give us the update on Micro Focus, Micro Focus acquired Vertica as part of the HPE software business, how many years ago now? Two years ago? >> Less than two years ago. >> Okay, so how's that going, >> It's going great. >> Give us the update there. >> Yeah, so first of all it is great, HPE and HP were wonderful to Vertica, but it's great being part of a software company. Micro Focus is a software company. And more than just a software company it's a company that has a lot of experience bridging the old and the new. Leveraging all of the investments that you've made but also thinking about cloud and all these other things that are coming down the pike. I think for Vertica it's been really great because, as you've seen Vertica has gotten its identity back again. And that's something that Micro Focus is very good at. You can look at what Micro Focus did with SUSE, the Linux company, which actually you know, now just recently spun out of Micro Focus but, letting organizations like Vertica that have this culture, have this product, have this passion, really focus on our market and our customers and doing the right thing by them has been just really great for us and operating as a software company. The other nice thing is that we do integrate with a lot of other products, some of which came from the HPE side, some of which came from Micro Focus, security products is an example. The other really nice thing is we've been doing this insource thing at Micro Focus where we open up our source code to some of the other teams in Micro Focus and they've been contributing now in amazing ways to the product. In ways that we would just never be able to scale, but with 4,000 engineers strong in Micro Focus, we've got a much larger development organization that can actually contribute to the things that Vertica needs to do. And as we go into the cloud and as we do a lot more operational aspects, the experience that these teams have has been incredible, and security's another great example there. So overall it's been great, we've had four different owners of Vertica, our job is to continue what we do on the innovation side in the culture, but so far Micro Focus has been terrific. >> Well, I'd like to say, you're kind of getting that mojo back, because you guys as an independent company were doing your own thing, and then you did for a while inside of HP, >> We did. >> And that obviously changed, 'cause they wanted more integration, but, and Micro Focus, they know what they're doing, they know how to do acquisitions, they've been very successful. >> It's a very well run company, operationally. >> The SUSE piece was really interesting, spinning that out, because now RHEL is part of IBM, so now you've got SUSE as the lone independent. >> Yeah. >> Yeah. >> But I want to ask you, go back to a technology question, is NoSQL the next Hadoop? Are these databases, it seems to be that the hot fad now is NoSQL, it can do anything. Is the promise overblown? >> I think, I mean NoSQL has been out almost as long as Hadoop, and I, we always say not only SQL, right? Mike's said this from day one, best tool for the job. Nothing is going to do every job well, so I think that there are, whether it's key value stores or other types of NoSQL engines, document DB's, now you have some of these DB's that are running on different chips, >> Graph, yeah. >> there's always, yeah, graph DBs, there's always going to be specialty things. I think one of the things about our analytic platform is we can do, time series is a great example. Vertica's a great time series database. We can compete with specialized time series databases. But we also offer a lot of, the other things that you can do with Vertica that you wouldn't be able to do on a database like that. So, I always think there's going to be specialty products, I also think some of these can do a lot more workloads than you might think, but I don't see as much around the NoSQL movement as say I did a few years ago. >> But so, and you mentioned the cloud before as kind of, your position on it I think is a tailwind, not to put words in your mouth, >> Yeah, yeah, it's a great tailwind. >> You're in the Amazon marketplace, I mean they have products that are competitive, right? >> They do, they do. >> But, so how are you differentiating there? >> I think the way we differentiate, whether it's Redshift from Amazon, or BigQuery from Google, or even what Azure DB does is, first of all, Vertica, I think from, feature functionality and performance standpoint is ahead. Number one, I think the second thing, and we hear this from a lot of customers, especially at the C-level is they don't want to be locked into these full stacks of the clouds. Having the ability to take a product and run it across multiple clouds is a big thing, because the stack lock-in now, the full stack lock-in of these clouds is scary. It's really easy to develop in their ecosystems but you get very locked into them, and I think a lot of people are concerned about that. So that works really well for Vertica, but I think at the end of the day it's just, it's the robustness of the product, we continue to innovate, when you look at separating compute and storage, believe it or not, a lot of these cloud-native databases don't do that. And so we can actually leverage a lot of the cloud hardware better than the native cloud databases do themselves. So, like I said, we have to keep going, those guys aren't going to stop, and we actually have great relationships with those companies, we work really well with the clouds, they seem to care just as much about their cloud ecosystem as their own database products, and so I think that's going to continue as well. >> Well, Colin, congratulations on all the success >> Yeah, thank you, yeah. >> It's awesome to see you again and really appreciate you coming to >> Oh thank you, it's great, I appreciate the invite, >> MIT. >> it's great to be here. >> All right, keep it right there everybody, Paul and I will be back with our next guest from MIT, you're watching theCUBE. (electronic jingle)

>> from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation. >> Welcome to this cube competition here at the Palo Alto Cube Studios. I'm John for a host of the Cube. Were here a special guests to keep alumni investor An entrepreneur who do Sudhakar, would you Good to see you again, John. Always a pleasure. You've been on as an entrepreneur, founder. As an investor, you're always out. Scour in the Valley was a great conversation. I want to get your thoughts as kind of a guest analyst on this segment around the state of the Union for Enterprise Tech. As you know, we covering the price tag. We got all the top enterprise B to B events. The world has changed and get reinvent coming up. We got VM World before that. The two big shows, too to cap out this year got sprung a variety of other events as well. So a lot of action cloud now is pretty much a done deal. Everyone's validating it. Micro cells gaining share a lot of growth areas around cloud that's been enable I want to get your thoughts first. Question is what are the top growth sectors in the enterprise that you're seeing >> papers. Thank you for having me. It's always a pleasure talking to you over the years. You and me have done this so many times. I'm learning a lot from you. So thank you. You are so yeah, I think Let's dig into the cloud side and in general market. So I think that there are 34 areas that I see a lot that's happening a lot. Cloud is still growing, a lot 100% are more growth and cloud and dog breeders. And what is the second? I see, a lot of I T services are close services. This includes service management. The areas that service now isn't They're >> still my ops was Maybe >> they opt in that category. E I said With management, the gutter is coming with the new canticle a service management. So they're replacing idea some with a different. So that's growing 800% as a category tourist. RP according to again, the industry analysts have seen that it's going at 65 to 70% so these three areas are going a lot in the last one that I see a lot of user experience. Can you build? It's like it's a 20,000,000,000 market cap, something. So if you let it out, it's a cloud service Management services RP user experience cos these are the four areas I see a lot dating all the oxygen rest. Everybody is like the bread crumbs. >> Okay, and why do you think the growth in our P A. So how's the hype? Is it really what? What is going on in our pee, In your opinion, >> on the rumors I'm hearing or there is some companies are already 1,000,000,000 revenue run great wise. That's a lot in our piece. So it's not really a hype that really so that if you look and below that, what's happening is I'd be a Companies are automating automation. The key for here is if I can improve the user experience and also automate things. RPS started doing screen scraping right in their leaders, looking at any reservations supply chain any workflow automation. So every company is so complex. Now somebody has to automate the workflow. How can you do this with less number of people, less number, resources, and improve the productivity >> coming? R P A. Is you know, robotic process automation is what it stands for, but ultimately it's software automation. I mean, it's software meets cloud meets automation. It seems to be the big thing. That's also where a I can play a part. Your take on the A I market right now. Obviously, Cloud and A I are probably the two biggest I think category people tend to talk about cloud and a eyes kind of a big kind of territories. RPG could fall under a little bit of bulls, but what you take on a guy, >> Yeah, so I think if you look at our pier, I actually call the traditional appears to be historical legacy. Wonders and R P companies are doing a good job to transform themselves to the next level, right? But our pianist Rocky I score. It's no longer the screen skipping tradition, making the workflow understanding. So there are new technology called conversational Rp. There's actually a separate market. Guys been critical conversation within a Can I talk to in a dialogue manner like what you experienced Instagram are what using what's up our dialogue flow? How can I make it? A conversational RPS is a new secretary is evolving it, but our becomes have done a good job. They leave all their going out. A >> lot has been has great success. We've been covering them like a blanket on a single cube. Um, I got it. I got to get your take on how this all comes into the next generation modern era because, um, you know, we're both been around the block. We've seen the waves of innovation. The modern error of clouds certainly cloud one Dato Amazon. Now Microsoft has your phone. Google anywhere else really goes. Dev Ops, The devil's movement cloud native amazing, create a lot of value continues to do well, but now there's a big culture on cloud 2.0, what is your definition of cloud two point? Oh, how do you see Cloud 2.0, evolving. But >> I like the name close to party. I think it's your third. It is going to continue as a trained. So look, throw two point with eyes. I don't know what it will be, but I can tell you what it should be and what it can have. Some other things that should do in the cloud is cloud is still very much gun to human beings. Lot of develops people. Lot of human being The next addition to a daughter should have things done programmatically I don't need tens of thousands off Assad ease and develops people. So back to your air, upside and everything. Some of those things should become close to become proactive. I don't want to wait until Amazon. Easter too is done. If I'm paying him is on this money. Amazon should be notifying me when my service is going to be done. The subsidy eaters They operated Chlo Trail Cloudwatch Exeter. But they need to take it to a notch level. But Amazon Azure. >> So making the experience of deploying, running and building APS scalable. Actually, that's scales with Clavet. Programmable kind of brings in the RPI a mean making a boat through automation edge of the network is also interesting. Comes up a lot like Okay, how do you deal with networking? Amazons Done computing storage and meet amazing. Well, cloud and networking has been built in, I guess to me, the trend of networking kicks in big because now it's like, OK, if you have no perimeter, you have a service area with I o t. >> There's nothing that >> cloud to point. It has to address riel time programming ability. Things like kubernetes continues to rise. You're gonna need to have service has taken up and down automatically know humans. So this >> is about people keep on fur cloak. What should be done before the human in the to rate still done. It develops. People are still using terror from lot of scripting. Lot of manual. Can you automata? That's one angle The second angle I see in cloud 2.0 is if you step back and say What, exactly? The intrinsic properties of Claude Majors. It's the work floor. It's automation, but it's also able to do it. Pro, actually. So what I don't have to raise if I'm playing club renders this much money. Tell me what outrageous are happening. Don't wait until outage happens. Can you predict voted? Yes, they have the capability to women. It should be Probably steal it. No, not 100%. So I want to know what age prediction. I wonder what service are going down. Are notified the user's that will become a a common denominator and solutions will be start providing, even though you see small startups doing this. Eventually they become features all these companies, and they'll get absorbed by the I called his aircraft carriers. You have Masson agile DCP. They're going to absorb all this, a ups to the point that provide that as the functionality. >> Yeah, let's get the consolidation in second. I want to get your thoughts on the cloud to point because we really getting at is that there's a lot of white space opportunity coming in. So I gotta ask you to start up. Question as you look at your investor, prolific investor in start ups. Also, you're an entrepreneur yourself. What >> is? >> They have opportunities out there because we'll get into the big the big whales Amazon, who were building and winning at scale. So embarrassed entry or higher every day, even though it's open sources, They're Amazons, betting on open source. Big time. We had John Thompson talk about that. That was excessive. Something Nutella. And so what? What if I was a printer out there? Would what do I do? I mean, is there Is there any real territory that I could create a base camp on and make money? >> That's plenty. So there's plenty of white faces to create. Look, first of all your look at what's catering, look at what's happening. IBM is auto business in service management, CSL itself to Broadcom. BMC is sold twice to private companies. Even the CEO got has left our war It is. Then you have to be soldiers of the Micro Focus. The only company that's left is so it's not so in that area, you can create plenty of good opportunities. That's a big weight. >> Sensors now just had a bad quarter. So actually, clarity will >> eventually they're gonna enough companies to go in that space. That play that's based can support 23 opportunities so I can see a publicly traded company in service. No space in next five years. My production is they'll be under company will go a p o in the service management space. Same things would happen. Rp, Rp vendors won't get acquired A little cleared enough work for automation. They become the next day because of the good. I can see a next publicly traded company. What happened in the 80 operations? Patriotism Probably. Computer company Pedro is doing really well. Watch it later. Don't. They're going to go public next. So that area also, you see plenty of open record companies in a UPS. >> So this is again back to the growth areas. Cloud hard to compete on Public Cloud. Yes, the big guys are out there. There's a cloud enablers, the people who don't have the clouds. So h p tried to do a cloud hp They had to come out, they'll try to cloud couldn't do It s a P technically is out there with a cloud. They're trying to be multi cloud. So you have a series of people who made it an oracle still on the fence. They still technically got a cloud, but it's really more Oracle and Oracle. So they're kind of stuck in the middle between the cloud and able nervous. The Cloud player. If you're not a cloud player large enterprise, what is the strategy? Because you got HP, IBM, Cisco and Dell. >> So I don't know. You didn't include its sales force in that If I'm Salesforce, I want sales force to get in. They have a sales cloud marketing cloud commerce code. Mark is not doing anything in the area of fighting clothes. They cannot go from 100,000,000,000 toe, half a trillion trillion market cap. Told I D. They have to embrace that and that's 100% growth area. You know, people get into this game at some point. It'll be is already hard and 50,000,000,000 market cap. Then that leaves. What is this going to do? Cisco has been buying more security software assets, but they don't wanna be a public company, their hybrid club. But they have to figure out How can they become an arms dealer in escape and by ruining different properties off close services? And that's gonna happen. And I've been really good job by acquiring Red Heart. So I think some place really figuring out this what is happening. But they have to get in the gaming club they have to do. Other service management have begun and are here. They have to get experience. None of these guys have experienced in this day and age that you killed and who are joining the workforce. They care for Airbnb naked for we work. They care for uber. They care for Netflix. It is not betting unders. So if I'm on the border, Francisco, I'm not talking about experience That's a problem to me. Hey, tree boredom is not talking about that. That's what if I'm I know Mark is on the board. Paramount reason. But Mark is investing in all the slack. Cos then why is it we are doing it either hit special? Get a separate board member. They should get somebody else. >> Why? He wouldn't tell. You have to move. Maybe. I don't know. We don't talk about injuries about that. But I want to get back to this experience thing because experience has become the new expectation. Yes, that's been kind of a design principle kind of ethos. Okay, so let's take that. The next little younger generation, they're consuming Airbnb. They're using the serious like their news and little chunks be built a video service for that. So things are changing. What is? I tease virgin as the consumption is a product issue. So how does I t cater to these new experience? What are some of those experiences? I >> think all of them. But I think I d for Social Kedrick, every property, every product should figure out how to offer to the young dreamers how they were contributed offer to the businesses on the B two baby to see. So the eye has to think every product or not. Should I start thinking about how my user should consume this and how should out for new experiences and how they want to see this in a new way, right? It's not in the same the same computer networking. How can a deluded proactively How can a dealer to a point where people can consume it and make other medications so darn edition making? That's where the air comes in. Don't wait for me toe. Ask the question. Suggest it's like Gmail auto complete. Every future should be thinking through problem. Still, what can I do to improve the experience that changes the product? Management's on? And that's what I'm looking at, companies who are thinking like that connection and see Adam Connection security. But that has to happen in the product. >> I was mentioning the people who didn't have clouds HP, IBM, Cisco and Dell you through sales force in there, I kind of would think sales were six, which is technically a cloud. They were cloud before cloud was even cloud. They built basically oracle for the cloud that became sales force. But you mentioned service now. Sales force. You got adobe, You got work day. These are application clouds. So they're not public clouds per se they get Amazon Web service is, you know, at Adobe runs on AWS, right? A lot of other people do. Microsoft has their own cloud, but they also have applications as well. Office 3 65 So what if some of these niche cloud these application clouds have to do differently? Because if you think about sales force, you mentioned a good point. Why isn't sales were doing more? People generally don't like Salesforce. You think that it's more of a lock inspect lesson with a wow. They've done really innovative things. I mean, I don't People don't really tend to talk about sales force in the same breath as innovation. They talk about Well, we run sales for us. We hate it or we use it and they never really break into these other markets. What's your take on them? >> I think Mark has done a good job to order. Yes, acquiring very cos it has to start from the top and at the market. His management team should say, I want to get in a new space. He got in tow. Commerce. Claudia got into marketing. He has to know, decide to get into idea or not. Once he comes out, he's really taken because today, science. What is below the market cap? Com Part of it'll be all right. If I am sales force, I need to go back down. Should I go after service? No. Industry should go after entire 80 services industry. Yes or no, But they have to make a suggestion. Something with Toby Toby is not gonna be any slower. They will get into. I decide. They're already doing the eyesight and experience. They're king of experience. Their king off what they're doing. Marketing site. They will expand. Writing. >> What does something We'll just launched a platform. Yes, that's right. The former executive from IBM. That's an interesting direction. They all have these platforms. Okay, so I got together to the Microsoft Amazon, Um, Google, the big clouds and then everybody else. A lot of discussion around consolidation. A lot of people say that the recession's coming next year. I doubt that. No, nos. The consolidation continues to happen. You can almost predict that. But where do you see the consolidation of you got some growth areas as you laid out cloud I t service is our p a experience based off where looks like where's the consolidation happening? If growth is happening, they're words to tell. >> It was happening. Really Like I see a lot in cyber security. I'm in Costa Rica, live in public. You have the scaler, the whole bunch of companies. So the next level of cos you always saw Sisko Bart, do your security followed has been buying aggressively companies. So secret is already going to a lot of consolidation. You're not seeing other people taking it, but in the I T services industry, you'll start seeing that you're already seeing that in the community space. That game is pretty much over right. Even the ember barred companies, even Net are barred companies and the currency. So I think console is always going to happen. People are picking up the right time. It's happening across the board. It's a great time to be an entrepreneur creator value. They come this public. So it's like I think it's cannot anymore very time. Look to your point where the decision happens or not. Nobody can predict. But if a chance now, it's best time to raise money. Build a company. >> Well, we do. I think the analysis, at least from my perspective, is looking at all the events we go to is the same theme comes up over and over. And Andy Jassy this heat of a tigress always talks about Old Garden new Guard. I think there's two sides of the streets developing old way in a new way, and I think the modern architect of the modern era of computer industry is coming, and it looks a lot different than it. Waas. So I think the consolidate is happening on those companies that didn't make the right bets, either technically or business model wise, for they took on too much technical debt and could not convert over to the cloud world or these really robust software environment. So I think consolidations from just just the passing of holder >> seems pretty set up for a member of the first men. First Main Computing was called mainframe Era, then, with clients Herrera and Kim, the club sodas 6 2009 13 years old, the new Errol called. Whatever the name, it will be something with a n mission in India that things would be so automated. That's what we have new area of computing, So that's I would like to see. So that's a new trick, this vendetta near turn. So even though we go through this >> chance all software software sales data 11. Yeah, it's interesting. And I think the opportunity, for starters is to build a new brands. His new branch would come out. Let's take an example of a company that but after our old incumbent space dying market share not not very attractive from a VC standpoint. From market space standpoint, Zoom Zoom went after Web conferencing, and they took on WebEx and portability. And they did it with a very simple formula. Be fast, be cloud native and go after that big market and just beat them on speed and simple >> experience. They give your greatest experience just on the Web, conferencing it and better than sky better than their backs better than anybody else in that market. Paid them with reward. Thanks, Vic. He had a good >> guy and he's very focused. He used clouds. Scale took the value proposition of WebEx. Get rid of all the other stuff brought its simple to video conference. And Dr Mantra is one >> happening. The A applying to air for 87 management. A ops A customer surveys. >> So this is what our Spurs could do. They can target big markets debt and go directly at either a specific differentiation. Whether it's experience or just a better mouse trap in this case could win, >> right? And one more thing we didn't talk about is where their underpants go after is the area number. Many of these abs are still enterprise abs. Nobody really focused on moving this enterprise after the club. Hollis Clubbers are still struggling with the thing. How can I move my workload number 10%. We're closing the club 90% still on track. So somebody needs to figure out how to migrate these clouds to the cloud really seamlessly. The Alps are gonna be born in the cloud club near the apse. So how do you address truckload in here? So there's enough opportunity to go after enterprise applications clouded your application. Yeah, >> I mean, I do buy the argument that they will still be on premises activity, but to your point will be stealing massive migration to the cloud either sunsetting absent being born the cloud or moving them over on Prem All in >> all the desert I keep telling the entree and follow the money. When there is a thing you look for it Is there a big market? Are people catering there? If people are dying and the old guard is there to your point and is that the new are you? God will happen. And if you can bet on the new guard in your experience, market will reward you. >> Where is the money? Follow the money. Worse. What do we follow? Show me where it is. Tell me where it is >> That all of the clothes, What is the big I mean, if you're not >> making money in the club for the cloud, you are a fool right now. If there any company on making out making in the club as a CEO, a board member, you need to think through it. Second automation whether you go r p a IittIe automation here to make money on, said his management. Whether it's from customer service to support the operation, you got to take the car. Start off it if you are Jesse ever today and you're not making birds that cementing. I see it mostly is that still don't want to take it back. They want to build empires. The message to see what's right, Nice. Either you do it or get out. Get the job to somebody that >> I hold a lot of sea cells and prayer. Preparing for reinforce Amazon's new security cloud security conference and overwhelmingly response from the sea. So's chief security officer is we are building stacks internally. When I asked him about multi cloud, you know what they said? Multi cloud is B s. I said, Why? Because Well, we have a secondary cloud, but I don't want to fork my development team. I want to keep my people focused on one cloud. It's Amazon. Go Amazon. It's azure. We stay with Azure. I don't wanna have three development teams. So this a trend to keep the stack building internally. That means they're investing in building their own text. Axe your thoughts on that >> look, I mean, that's again. There's no one size fits all. There will be some CEOs who want to have three different silos. Some people have a hard, gentle stack like I've seen companies. Right now. They write, the court wants it, compiles, and it's got an altar cloth. That's a new irritability you're not. We locate a stack for each of them. You're right. The court order to users and NATO service is but using the same court base. That's the whole The new startups are building it. If somebody's writing it like this, that's all we have. Thing is the CEO. So there's that. The news he always have to think through. How can you do? One court works on our clothes? >> Great. You do. Thank you for coming on again. Always great to get your commentary. I learned a lot from you as well. Appreciate it. I gotta ask the final question as you go around the VC circles. You don't need to mention any names you can if you want, but I want to get a taste of the market size of rounds, Seed Round A and B. What are hot rounds? What sizes of Siri's am seeing? Maur? No. 10,000,000? 15,000,000? Siri's >> A. >> Um >> Siri's bees are always harder to get than Siri's. A seeds. I always kind of easier. What's your take on the hot rounds that are hot right now. And what's the sizes of the >> very good question? So I'm in the series the most easy one, right? Your concept. But the seed sizes went up from 200 K to know mostly drones are 1,000,000 2 1,000,000 Most city says no oneto $10,000,000. So if you're a citizen calmly, you're not getting 10 to 15. Something's wrong because that become the norm because there's more easy money. It also helps entrepreneurs. You don't have to look for money. See, this beast are becoming $2025 $5,000,000 pounds, Siri sees. If you don't raise a $50,000,000 then that means you're in good company. So the minimum amount of dries 50,000,000 and CDC Then after that, you're really looking for expansions. $100,000,000 except >> you have private equity or secondary mortgage >> keys, market valuations, all the rent. So I tell entrepreneurs when there is an opportunity, if you have something, you can command the price. So if you're doing a serious be a $20,000,000 you should be commanding $100,000,000.150,000,000 dollars, 2,000,000 evaluations right if you're not other guys are getting that you're giving too much of your company, so you need to think through all of that. >> So serious bees at 100,000,000 >> good companies are much higher than that. That'll be 1 52 100 And again, this is a buyer's market. The underpinnings market. So he says, more money in the cash. Good players they're putting. Whether you have 1,000,000 revenue of 5,000,000 revenue, 10,000,000 series is the most hardest, but its commanding good premium >> good time to be in our prayers were with bubble. Always burst when it's a bite, mark it on the >> big money. Always start a company >> when the market busts. That's always my philosophy. Voodoo. Thanks for coming. I appreciate your insight. Always as usual. Great stuff way Do Sudhakar here on the Q investor friend of the Cube Entrepreneur, I'm John for your Thanks >> for watching. Thank you.

>> Narrator: Live from Chicago, Illinois, it's the CUBE, covering Veeamon 2018. Brought to you by Veeam. >> Welcome to the Windy City, everybody, you're watching the CUBE, the leader in live tech coverage. My name is Dave Vellante. I'm here with my co-host, Stuart Miniman. Stu, this is our second year of covering Veeamon. Although we have covered Veeam as a company since the early days of its ascendancy into the virtualization space, really focused on as a VMware specialist, virtualization only, now expanding dramatically into the enterprise. This is a company that has grown from very small to quite large, it's going to be probably close to a billion dollars in bookings this year, growing at 30 plus percent each year. A company that is moving beyond just the small business into the core of the enterprise with new executives, new messaging, renewed partnerships that seems to be really gaining traction. Veeam is a backup and data protection specialist that's now trying to rebrand itself as an always on, for the digital world, hyperavailability, intelligent data management, multi-cloud environment, throw in a few more buzzwords, Stu. And they're punching above their weight, as they always have, and it's a playbook that Veeam has used very, very successfully. Combine that with the branding, green everywhere. They've taken over Chicago. Veeam is famous for its parties, parties at VMworld, and other big events, like HPE Discover. And this is, I don't know, the fifth, sixth Veeamon that they've had, and we've got how many people here, Stu? >> 2,200. >> 2,200. So, what's your take? You saw the keynotes this morning, you were in the private analyst sessions today. Give us your analysis of Veeam. >> Yeah, Dave, you know, first of all, they did what most of the big companies do. They started off with a partner day. Veeam's all about their partners. Last year, you and I documented what they talked about is they were transitioning from the 10 years of virtualization to the next big wave, which is cloud. Doesn't mean that virtualization goes away, there's lots that they're doing in the multi-hypervisor world, but multi-hypervisor, multi-cloud, it's any data, any app, any cloud is the message. And Peter McKay started out, Dave, you know, big hero numbers for the company. As you said, they've had over double-digit growth, for now, it's 39 quarters, hugely impressive. 827 million in 2017 booking. The goal absolutely is to be over one billion dollars this year. For me, the number that jumped out, really, is they have 300,000 customers. You and I were talking to Ratmir a little bit and said, okay, you know, VMware has 500 thousand, he's like, well, 550 thousand customers and Veeam's in about 270 thousand of those, so about half of all VMware customers are in there, that Veeam is in there, but they have lots of headroom for growth in those VMware environments. As you've heard Veeam today over and over, the growth opportunity for them is the enterprise. So while they're in a lot of the Fortune 100 and Fortune 1000 accounts, they haven't penetrated them nearly as deeply as, say, a VMware has. But when you look at 300,000 customers, Dave, they're adding 133 customers a day. That's about 10,000 a quarter. 133 a day, 10,000 a quarter. Say, compare and contrast against another Veeam partner, Nutanix. Nutanix is adding about 1,000 customers a quarter, which is great for Nutanix, for their market, but as a software company in the cloud world, Veeam can stack themselves up against, again, some of the largest software companies in the world. And they put out the plan in place, is how they're going to get not only over a billion, but get to, like, that five billion dollar mark, which is some really rarefied air. >> So, let's stay on that for a second. Two themes I want to cover. First, the customers. 300,000 customers, 90% are in a virtualized and using VMware, that was the roots of this company. But there's 500,000, 550,000, I think now, VMware customers, so there's some opportunity there. We're going to talk to Ratmir Timashev, the founder. He was sharing with us before that their mantra earlier on was no physical, just virtual, just virtual. Well, last year, they announced physical. They're expanding, that's a TAM expansion move. Their TAM is much, much bigger than just a couple of billion dollars in pure backup. It's in the 20, 30 billion dollar range now. So that leads me to the second point, which is Veeam is an enterprise software, Veeam's a pure software company, first of all. So they are beginning to reach that rarefied air of a billion dollar plus companies. Obviously, Oracle, SAP, Salesforce, you know, are there. But others have recently cracked the billion: ServiceNow, Workday, companies like that. RedHat, obviously, is another one that's blown through that billion dollar figure, doing very, very well. Some would argue that Nutanix is a software company, could even argue, sort of stretching it now, Pure is a software company, a lot of software innovation. But Veeam, there's no argument, they are a pure software company. The number of billion-dollar software companies is few and far between, Veeam is about to crack that magic number, which is not trivial. >> Yeah, and Dave, we've talked about going beyond virtualization and cloud. Last year, one of the big discussion points was they bought N2WS, which is really how they get backup into AWS. And they've got large growth, 153 growth year over year. Other one, Microsoft, big partner of theirs, both for virtualization, something that kind of sent a ripple through the whole virtualization industry, when Veeam got off of only VMware and added hyper-v support. Well, Azure, they've got over 2,500 downloads of their Azure solution, so showing growth there. Also, supporting IBM Cloud, working with a lot of service providers. The breadth of what they're offering, in expanding beyond just the virtualization, admin, and some simple tools, where Veeam had really cut their teeth. Because, Dave, that core business, there's a lot of competitors there now, and Veeam's trying to make sure that they fight off the competition and stay ahead in this multi-cloud world. >> So much to talk about, I want to talk about the competition, but before we get there, one of the critical factors for a company like Veeam, trying to attract enterprise customers, Veeam's a company who's known for their SMB heritage. And so, partnerships, crucial. Just some of the partnerships that they've signed and emphasized over the last year and a half, two years: HPE, my sources tell me, we heard Bill Philbin up on stage this morning, he had a keynote, my sources tell me that it's many, many tens of millions of dollars, so this is on its way to 100 million dollar partnership. IBM, you mentioned IBM Cloud, Microsoft, the Azure stuff, Pure Storage, Nutanix, VMware, obviously, has always been a partner. NetApp, Cisco, we heard up on stage today. So expanding the partner ecosystem. Stu, explain why that's so important. >> Yeah, so first of all, Dave, so many places, how does Veeam go to market? One of the more interesting things, if you talk about the sales motion, is HP and Cisco now have Veeam in their price book. So Veeam, great channel, customers that love them, over 300,000, but when you take the Cisco sales force and the HPE sales force, and say you guys can make money on this, that really hypercharges what they're doing. It was always nice that they partnered with VMware, but how do you get deeper into those environments? I know you want to touch on the competition, we'll make sure we cover, there's some critical hires that they've also had in recent times, but what's your take on the competition? >> Yeah, that's just what I'm talking about. Before we get to competition, I do want to talk about, >> Oh, partners. >> Talent, but I just want to mention HPE, the reason why HPE, to me, is so interesting is because when they sold their software business to Micro Focus, they jettisoned the old HP Data Protect, or HP Protect software business. That opened up a huge opportunity and vacuum for Veeam to slide in. They were very aggressive with regard to partnering with HPE, smart move by Veeam, and I think, smart move by HPE, even though it's more of a reseller slash partnership agreement. Talent. This company's been able to attract talent. It started with Peter McKay, who was brought in to top-level the messaging and the executive team. He's brought in a number of folks, in sales and marketing, the new CMO is on as well. They've attracted a few, one in particular, analysts. So one of the kerfuffles before this show was Gartner announced that two of its analysts were leaving to go to Rubrik. Well, over the weekend, when this announcement came out, Veeam executives saw that. One of them was Dave Russell, who we've had in the CUBE before, very sharp guy, very well known, respected. Veeam jumped on him on that weekend and said, no, you know us better than you know Rubrik, you got to come work for us, and so they stole Dave Russell away. We saw Dave Russell on stage today. He left Rubrik at the altar, which, you know, I'd rather see that than him going to work for Rubrik, for four or five months. But what do you make of that? >> Yeah, so Dave, we've seen a lot of jumps recently, from the analyst side. It's interesting, Jason Buffington, who we'd have on the CUBE many times, is also here at Veeam, so hot space. I know last year at VMworld, we said this whole backup, secondary storage market is one of the hottest areas. There's a lot of money, there's a lot of growth. And what's the analyst's job? It's to really understand some of these trends here. So, some of 'em, it's something that they're passion on, they called Dave Russell the Godfather of backups. So, he said he wanted to be a builder, he wanted to get in, heck, even a good friend of mine just announced he's joining Veeam, Mark Toomey, who was from the EMC side, worked on the backup stuff, real strong technologist, was one of the early bloggers, really knows his stuff, and based in Ireland. Veeam's doing a real good job of attracting talent. Peter McKay's learning from his patriots, as to how to bring in good talent. >> And we'll have him on to talk to you about that. As a lead-in to the competitive discussion, I want to give some analysis that we got from Peter Burris and David Floyer from the Wikibon team. They gave me a few points leading up to this conference that I want to share with our audience. Number one is data protection and orchestration are moving up the list on the level of CXO concerns. So we're seeing that very clearly in our research. The second point, this company talks a lot about the future, and automation as being part of that. There's a dichotomy between the business and IT, in terms of the expectations to the degrees of automation that exist. The business assumes there's a lot more automation than there actually is, so when you see executives up on stage, talking about this automated world, the expectations in the business are everything's going to be automated. It's not that simple yet today. That causes some friction, potentially, in the customer base. Means there's lots of room for churn, that's good news for a company like Veeam, who's both an incumbent but a disruptor moving upmarket. The global 2000, according to David Floyer, is leaving billions of dollars on the table, in terms of lost revenue, because they have inadequate data protection. If you look over a three or four year period, companies are losing money because of inadequate, bolted-on data protection strategies. The last point is all these vendors are vying for position. It's unclear who's going to win this game. You've got no dominant player. You've got the backup and recovery vendors, the storage companies like Dell and EMC, you got security companies that are in there, you got startups, like Rubrik and Cohesity, you got Veeam, who's an established, they're like a hybrid, both established and startup. So you've got this competitive dynamic, which is really, really interesting. I want to flip it over to you. Last year at VMworld, backup and recovery, data protection was one of the hottest areas of topics of conversation, and on the floor, one of the most trafficked by customers. What's your take on that? >> Well, Dave, you know, core to our research, we've been talking about for, I can't even tell you now how long, data is at the center of it all. How do I not, it's not storing data, it's getting value from my data, it's unlocking data. It's not about big data, it's not about some cool new tooling that we have there, and what we've really found is if I've got good replicas, if I've got strong backup, I can actually leverage my data more, get more value out of it, that's critical to what we're talking about here, Dave. Which is why Veeam and others like them can get this, is simplicity, is something we hear over and over, the early days of VMware, that was why customer loved VMware. And Veeam followed that trend a lot. It's really tough to be simple. That was that whole hyperconverge wave, was supposed to be simple. Cloud is not simple today. It's multi-cloud, there's a lot of challenges there. So Veeam, their customers love 'em, the proof is in the numbers that they're putting in. >> I think that's great analysis. Let's close on that. The challenge, I think, for Veeam, like some of the incumbents that you saw, Veritas, IBM, when VMware's ascendancy occurred, Veeam stepped in and really disrupted and won that battle. Now, the others hung on. They hung on to their install base, but they're hanging on for dear life. You've seeing IBM now retooling its portfolio, Dell EMC retooling its backup portfolio, Veritas retooling its backup portfolio, so it's jump ball in that respect. Veeam's got to demonstrate that it can move from that virtualization specialist, small business specialist, up into the enterprise, resonate with the CXOs, and compete for its fair share. So we'll be watching that, we'll be covering that all week. This is Dave Vellante with Stu Miniman. You're watching the CUBE, live from Chicago, Veeamon 2018.

>> Announcer: Live from Las Vegas, it's The Cube, covering HPE Discover 2017. Brought to you by Hewlett Packard Enterprise. >> Welcome back everyone. Live here in Las Vegas is SiliconANGLE's CUBE, our flight ship program. We go out to the event ... I'm John Furrier, My co-host David Vellante. Been watching 3 days of wall to wall exclusive coverage of Hewlett Packard Enterprise Discover 2017. Our seventh year covering HP Discover, now called HPE Discover. Dave, we've covered them all. Now we're doing some European versions. I missed the last one in London, but you were there. But you and I have covered HP Discover, Now HPE Discover, for now our 7th year. Interesting times as they say. >> Dave: I'll say. >> We live in interesting times. HP's been getting hammered. Certainly the competitions been slamming them, The press has not been kind to them, People think they're irrelevant. Wall Street just slammed them, so Jim Cramer on CNBC, really taking Meg to task, But we always come back and we feel differently when we're actually at the event. When you actually talk to the people in the company. They got a lot of cash on the books. They've got a lot of customers. They got technology. They're doing the vendor R&D that you guys have pointed out in your recent, ground-breaking, true private cloud research market sizing you put out there. Astonishing change. And I think, my gut is, yeah, certainly HP's had some changes in corporate development, but the reality is that they now have set that up and the market is exploding. It's got the cloud market that's coming on premise. The private cloud business is taking off. >> Yeah, you know, John, we have documented this over the last seven years, and it's like the Band-Aid is coming off slowly, and it finally feels like this Discover (ripping noise) is finally almost there, right? Because you remember the split, and then the spin merge, and then the software business, okay. This has been the cleanest Hewlett-Packard Enterprise Discover that we've been to. There wasn't a lot of noise about software, they had a little separate event going on. Not a lot of talk about the spin merge, a lot of talk about Pointnext, I think that's good, I like their branding. >> It's like they cleaned up all the rooms in the house, and the outside's got a new fresh coat of paint. I got to say, last year- noticeably, the branding, which we were kind of originally critical on two and a half, three years ago; the show was beautiful, the branding's amazing this year, again, they're going to that next level, you're starting to see the clean messaging, it's as if the ship has been kind of re-readied. And we said that last year, but to be fair, we did say last year that they got to prove it to you, They got to show the results. And we were talking with Alain, who runs their data center infrastructure group, he agrees; the metrics that all the other analyst firms are using out there are irrelevant, and he believes that new metrics have to be redefined. This to me is the biggest story of this show, is that HP is eyeing a new sea change and I don't think people understand it. That's my personal opinion. >> I think you're right, I mean, the narrative on HP is, oh, they're just a hardware company, hardware's dying, what are they doing, et cetera. Well the reality is, people have been telling me the hardware business is dying since I've been in the business. The good trend for them is, the hardware business is consolidating. Of course, the tough news is, a lot of it's going to the public cloud. But as you've been pointing out all week, there's plenty of growth, on prem, in what we call the true private cloud. >> That's the biggest discussion of the show here, is the impact of the Wikibon research, the true private cloud report that you guys put out, I want to spend some time with you on that and ask you some really pointed questions. What is the true private cloud report that Wikibon put out, and what does it mean, why are people talking about this research so much here? >> So three years ago, the team at Wikibon started to quantify this notion of private cloud, and we looked at it and said, ah, this is cloud-washing. Really this is just virtualization. What we really want to see is, on prem, mimicking,to a substantial degree, the public cloud. Orchestration, certainly, >> Agility, >> Management, agility, pay-as-you-go, those types of things. Okay, so, the genesis of the market move is something that we heard from Alan Nance, our friend, several years ago at the Vertica user conference. He said- he was, at the time, CIO of Philips- he said, "my CEO said 75% of our spend in infrastructure "is non-differentiated, so we're going to eliminate it, "and everything we're going to do is going to be as a service." That was three years ago. So, massive change, and Philips went out to all of its suppliers and said, this is what were doing, if you can't do business with us this way, you're out. And remember, we wrote a bunch of stuff about it, and Alain came back, okay. So they were one of the early folks making that move. Everybody is now doing that. So what's happening is, there's going to be $150 billion that is going to vaporize out of non-differentiated heavy lifting. And it's going to go in two places: it's going to go into the public cloud, and it's going to go to what we call true private cloud, and that true private cloud business is going to grow to be about $250 billion within the next 10 years, okay? So that's a long term market forecast. >> So the addressable market for true private cloud is what, 260, or 250 plus- >> 250, just under $250 billion. Which is growing faster than infrastructure as a service, public cloud, and it will ultimately, we believe, be larger than that IAAS business. Not as large as SASS, that's going to be the biggest public cloud market, but it's a huge opportunity for companies, and it's a land grab, and it's a dogfight. >> So, I want you to explain this, 'cause I think this is important, and it took me a couple minutes to click on this. You had mentioned that- there's a point in your slide on that deck, the size of the market is huge, it's $250 billion, that's a lot of cash. But the TAM component of labor costs, now, this is the big fear, everyone thinks, "oh, my job is going away, AIs and auto ate my job away", but yet you're saying $150 billion of cash costs are going to shift. >> To where? >> Absolutely. Okay, so a couple of things. What is going to shift? Today, there's so much IT labor spent on provisioning servers, provisioning storage, tuning systems, tuning databases, all this stuff that can be now hyper-automated, as the CEO of Wipro said, so that's happening today, as we speak. So, vendor R&D, i.e., R&D money that goes into appliances, boxes, new systems, new software, is going to replace and automate out those non-differentiated tasks. So if your job is provisioning LUNs, you really want to re-skill. >> So what's that mean for the customer in HP, and why is that important to this show, why are people talking about this report, what's the relevance? >> Because everybody's talking about their digital transformation. And how do you fund a digital transformation, right? You've got to spend all this money to become a digital, data driven company. Well, where do I get that money? >> John: Real cash involved, basically. >> Yeah, there's cash involved, so how do I do that? Well, I have to shift away from things that aren't driving value for my business, and eliminate that, and put the resources in things that are driving value. Application development, new development paradigms, digital transformations, new partnerships, and that's where the money's going. And so again, if you're an IT infrastructure patch management pro, you either have to re-skill, or you're going to be out of a job. >> Did you see Kate Swanborg light up when we talked about the private cloud, 'cause that's exactly what was her point. >> Yeah, well they're seeing it at DreamWorks, because essentially what they're doing, they're changing the game in animation. My prediction is, they're going to be able to pump out many more movies within a year now, and that's going to make them more competitive. I think that's part of the reason why she didn't want to dig too deep into what they're doing, 'cause I think they see it as a competitive advantage. >> Yeah, and she did tease a little bit out by saying that the creative people are so much more productive, she mentioned the dragon. Alright, other impact: Wall Street. We see a lot of analysts kind of taking HP to town. We know the competition, we talked to Michael Dell, he came on The Cube; Meg stopped by but she did not come in, that's notable for the folks out there, Michael certainly sits down with us; Michael says, "hey, I got plenty of cash", when I bring up the debt thing, he thinks bigger is better, HP thinks smaller and nimbler is better- >> This is going to be really interesting- >> Your thoughts on that as we move forward? >> Look, there's two, sort of, bromides, right, with Wall Street. First disappointment is never the last; uh oh, that would be bad news for HP, but Meg said, "we have bottomed in terms of margins, margins will improve." And a big thing's going to happen next month, HP's gets the cash from the spin merges, right, that's going to happen, and that's a big deal because their balance sheet- they're going to have $12 billion in cash on the balance sheet, which will match their debt, and they're going to start to be acquisitive. Dell EMC can't be acquisitive right now. They got to retire that debt and delever. >> We saw SimpliVity and Nimble, front and center, a lot of good success with the software there. >> Yep, so this will be really interesting to see, is this the last disappointment, is this a buying opportunity? >> Yeah, we're going to watch it, and- >> So if I had to bet, if I had to bet I'd say it is a buying opportunity, based on what I'm seeing here. It's much cleaner, leaner, and they've also restructured the sales organization to a great extent, so hopefully the execution's going to be better. >> Well, I'm not that generous, I think I want to see more results, I think- >> I know, but if you see more results, you're going to miss the upturn. (laughs) >> Well the question, to me, is- I do believe that they have an advantage with the true private cloud report you guys put out, I think that validates the shift of spend in IT, which validates the fact that it's growing, not shrinking, and yes, people might not be buying boxes but they're going to be buying IT. >> And the big thing is, well you know, John, the street right now wants growth. That's why Amazon can make no money and still crank, right? But if HPE can eke out any growth and start throwing off cash again, I think the stock is going to do just fine. >> Other notable things; obviously, the outsource business is gone, Pointnext is the solution, we had Ana on from Pointnext, she was the leader; other notable thing is the absence of Chris Hsu with Micro Focus, we had a chance to ... saw him at the Foundation Room at the Mandalay Bay the other night, had a great conversation. Apparently, they're not included in HPE Discover because they're a separate company. They're apparently doing really well. >> Well Micro Focus is killing it, right? I mean, their stock price increased faster than Facebook last year (laughs) so, that's an interesting play. I think it's a new private equity play, John. You know, the private equity play used to be, suck as much cash out and then leave the carcass. I think the new private equity play is, invest, and then take it to market again, and try to get that value from the market, so increase the value. >> I think you're onto something, and this is why I've always been complimentary of HP's corporate governance game, because I think that private equity is all about taking things private, and being nimble, and then going public again, so- >> And Micro Focus, in my opinion, picked up those assets for short money. >> Yeah; well, HP owns a big part of the company, so- >> Yeah, of course, but that's why they did the deal, it's short money, and they wanted the cash, and that's why they had to put the security piece in there. >> Alright- Dave Vellante, I'm John Furrier here breaking it down, ending our three days of exclusive coverage, at HPE 2017. Look for us at Madrid, the show there; I won't be there, Dave will be there; and again, HPE Discover, enjoy the rest of the conference, thanks for watching; this is The Cube out, thanks to the team and everyone here for a great job, see you next time.

>> Announcer: Live from Las Vegas, it's theCUBE. Covering HPE Discover 2017. Brought to you by Hewlett-Packard Enterprise. >> Okay, welcome back everyone. We're here live in Las Vegas for HPE, Hewlett-Packard Enterprise, Discover 2017. I'm John Furrier, co-host of theCUBE with Dave Vellante, and our next guest is Bill Philbin, who's the general manager of storage and big data for Hewlett-Packard Enterprise. Bill, welcome to theCUBE. Again, good to see you. I think you've been on since 2012, '13, '15. >> Is that right? What, are we carbon dating ourselves now or something? >> We've been tracking our CUBE alumni, but you're heading up the storage business-- >> Do I get a pen? >> We're working on that, Jerry Chen-- >> Seven of them >> Jerry Chen at Greylock wants to have, now, badge values. So, welcome back. >> Thank you, thank you for having me. >> You were just on theCUBE at VeeamON, which is an event Dave was hosting, I missed it in New Orleans. But a lot of stuff going on around stores, certainly. Virtualization has been around for a while, but now with Cloud; whole new ballgame. Programmable infrastructure, hybrid IT, Wikibond's true private Cloud report came out showing that private Cloud on Prim is $250 billion market. So nothing's really changing radically in the enterprise, per se, certainly maybe servers and storage, but people got to store their data. >> Bill: That's right What's the update from your perspective, what's the story here at HPE Discover? >> So I think there's really three things we're talking about amongst a number of announcements. One is sort of the extension of our All Flash environment for customers, who, as I was saying at Veeam, have the always-on. New world order is we expect everything to be available at a moment's notice, so I was in the middle of the Indian Ocean, using Google Voice over satellite IP on the boat, talking to San Jose, and it worked. That's always-on environment, and the best way to get that is, you know, with an All Flash [unknown], so that's number one. Number two, going back to the story about programmable infrastructures, storage also needs to be programmable, and so, if you've had Rick Lewis or Rick Lewis is coming he'll talk about composable infrastructures with Synergy, but the flip side of that is our belief that storage really needs to be invisible. And the acquisition of Nimble gets us a lot closer to sort of doing that in the same way that you have a safe self-driving car is all the rage. All that rich telemetry comes back, it's analyzed, fingerprinted, and sent out to customers to a point where it's, I call it the Rule of 85. 85% of the customers, the cases are raised by InfoSight and closed by InfoSight, and they have an 85 net promoter score. We're getting to a point where storage can be invisible, cause that's the experience you get on Amazon or as you swipe your credit card, say I want ten terabytes of storage, and that's the last time you have to think about it. We need to have the economics of the web, we need to have the programmability of the web, that's number two, and number three of what we talked about, and this is a big issue, a big thing we talked about with VeeamON, was data protection. The rules of data protection are also changing. Conventional backup does not protect data. I was with a customer a couple weeks ago in London. 120 petabytes; this is a financial services customer now. 120 petabytes of storage: not unusual. 40 of it was Hadoop, and they were surprised because it's unprotected, it's on servers, it's sort of the age of the client-server, and the age of Excel spreadsheets all over again. We realized that most businesses were running on Excel, so All Flash, a different way of supporting our customer support experience, and number three, it's all around how do you protect your data differently. >> What's the big trend from your standpoint, because a lot of that self-driving storage concept, or self-driving car analogy, it speaks to simplicity and automation. >> That's right >> The other thing that's going on is data is becoming more irrelevant, certainly in the Cloud. Whether that's a data protection impact or having data availability for Cloud-native apps, or in memory, or all kinds of cool stuff going on. So you got to lot of stuff happening, so to be invisible, and be programmable, customer's architectures are changing. What's the big trend that you're seeing from a customer standpoint? Are there new ways to lay out storage so that they can be invisible? Certainly a lot of people were looking at their simplification in IT operationally, and then have to prepare for the Cloud, whether that's Multicloud or hybrid or true private Cloud. What architects are you seeing changing, what are people doubling down on, what's the big trends in storage, kind of laying out storage as a strategy? >> So I think the thing about storage in the large, one of the trends obviously that we're seeing is sort of storage co-located with the server. When I started at HP now seven years ago, gen six to gen ten, which we've announced here at this show, the amount of locally attached storage in the box itself is massive. And then the applications are now becoming more and more responsible for data placement, and data replication. And so, even while capacities are growing, I think six or seven percent is what I saw from the latest IDC survey, the actual storage landscape, from a shared storage company, they're actually going down. And the reason is, application provisioning, application-aware storage is really the trend, that's sort of number one. Number two, you see customers looking at deploying the right storage for the right applications. hyperconverge with SimpliVity's a really good example of that, which is they're trying to find the right sort of storage to sort of serve up the right application. And that's where, if you're a single-PoINT provider company now in storage, and you don't have a software-only, a hyperconverge, an All Flash in a couple different flavors, including XP at the top, you're going to find it very, very difficult to sort of continue to compete in this market, and frankly, we're driving a lot of that consolidation, we put some bookends around what we're prepared to pay for. But if you're a PoINT providing storage company now? Life is a lot harder for you than it was a couple years ago. When we started with All Flash, I think it was like 94 All Flash companies. There are not 94 All Flash companies today. And so, I think that's sort of what we see. >> Well, to your point about PoINT companies are going to have a hard time remaining independent, and that's why a lot of 'em are in business to basically sell to a company like yours, cause they fill a need. So my question relates to R&D strategy. As the GM, relatively new GM, you know well that a large company like HPE has to participate in multiple markets, and in order to expand your team, you have to have the right product at the right time. One size does not fit all. So the Nimble acquisition brings in a capability at the lower end of the market, lower price spans, but it also has some unique attributes with regard to the way it uses data and analytics. You've got 3PAR Legendary at the high end. What's the strategy in terms of, and is there one, to bring the best of both of those worlds together, or is it sort of let 20 flowers bloom? >> So, I don't know if it's going to be 'let 20 flowers bloom', but I would probably answer a couple different ways. One is that InfoSight, you're right, is unique value proposition, is part of Nimble. I would bet if I come see you in Madrid, if you have me back for the, whatever, 13th time, [Laughing] that we'll be talking about how InfoSight and 3PAR can come together. So that's sort of the answer to number one. The answer to number two is, even though within the Nimble acquisition, one party acquired the other party, what we're really looking at is the best breed of both organizations. Whether that's a process, a person, a technology, we don't feel wedded to, "Just because we do it a certain way at HP, that means the Nimble team must conform." It's really, "Bring us the best and brightest." That's what we got. At the end of the day, we got a company, we got revenue, but we got the people, and in this storage business, these are serial entrepreneurs who have actually developed a product, we want to keep those people, and the way you do that is you bring 'em in and you use the best and greatest of all the technologies. There's probably other optimizations we'll look at, but looking at InfoSight across the entire portfolio, and one day maybe across the server portfolio, is the right thing to do. >> And just to follow up on that, Tom, if I may, so that's a hard core of sort of embedded technology, and then you've got a capability, we talk about the API economy all the time. How are you, and are you able to leverage other HPE activities to create infrastructure as code, specifically within the storage group? >> So if you look at us, at our converged systems appliances like our SAP HANA appliance, databases greater than six terabytes, we have 85% market share at Hewlett-Packard. And the way we do that, and that's all on 3PAR by the way, and the way we do that is we've got a fixed system that is designed solely to deliver HANA. On the flip of that, you have Synergy, which is a composable programmable infrastructure from the start, where it's all template-based and based on application provisioning. You provision storage, you provision the fabric, you provision compute. That programmable infrastructure also is supported by HP storage. And so, you have-- You can roll it the way you want to, and to some degree I think it's all about choice. If you want to go along, and build your own programmable infrastructure and OpenStack or VCloud Director, whatever it is, we have one of those. If you think simplicity is key, and app and server integration is important part of how you want to roll it out, we have one of those, that's called SimpliVity. If you want a traditional shared storage environment, we have one of those in 3PAR and Nimble, and if you want composable we have that. Now, choice means more than one, I don't know what it means in Latin or Italian, but I'm pretty sure choice means more than one. What we don't want to do is introduce, however, the complexity of what owning more than one is. And that's where things like Synergy make sense, or federation between SerVirtual and 3PAR, and soon we'll have federation between Nimble and 3PAR. So to help customers with that operational complexity problem, but we actually believe that choice is the most important thing we can provide our customers. >> I've always been a big fan of that compose thing, going back a couple years when you guys came and brought it out to the market. We're first, by the way, props to HP, also first on converged infrastructure way back in the day. I got to ask you, one of the things I love doing with theCUBE interviews is that we get to kind of get inspiration around some of the things that you're working on in your business unit. Back in 2010, Dave and I really kind of saw storage move from being boring storage, provisioning storage, to really the center of the action, and really since 2010 you've seen storage really at the center of all these converging trends. Virtualization, and hyperconverges, all this great stuff, now Cloud, so storage is kind of like the center point of all the action, so I got to ask you the question on virtualization, certainly changed the game with storage. Containerization is also changing the game, so I was telling some HP Labs guys last night that I've been looking at provisioning containers in microseconds. Where virtualization is extending and continuing to have a nice run, on the heels of that we got containerization, where apps are going to start working with storage. What's your vision and how do you guys look at that trend? How are you riding that next wave? >> It all comes down to an application-driven approach. As we were saying a little earlier, our view is that storage will be silent. You're going to provision an application. That's really the-- see, look at the difference between us and, let's say, Nutanix with SimpliVity. It's all about the application being provisioned into the hyperconverged environment. And if you look at the virtualization business alone, VMware's going to have a tough go because Hyper-V has actually gotten good enough, and it's cheaper, but people are really giving Hyper-V a much better look at than we've seen over the course of the last couple years. But guess what? That tool will commoditize, and the next commoditization point is going to be containers. Our vantage point, and if you look at 3PAR, you look at Nimble, we're already got it, we've already supported containers within the product, we've actually invested companies that are container-rich. I think it's all about, "What's the next--" >> And we at Dacron last year said, "We know you're parting with all the guys." But this is a big wave. You see containers as-- >> I see containers as sort of the place that virtualization sort of didn't ever get to. If you look at-- >> John: Well, the apps. >> On the apps absolutely, positively. And also it's a much simpler way to deploy an application over a conventional VM. I think containers will be important. Is it going to be important as the technology inflection point around All Flash? >> John: Flash is certainly very-- >> That I don't know, but I think as far as limiting costs in your datacenter, making it easier to deploy your applications, et cetera, I think containers is the one. >> What's the big news here, at HPE Discover 2017, for you guys? What's the story that you're telling, what's going on in the booth? Share some insight into what's happening here on the ground in Las Vegas from your standpoint. >> So I would say a couple of things. I think if you look out on the show floor, it seems more intimate and smaller this year. And there's a lot of concern, I think, that HP is chopping itself off into various pieces and parts, but I think the story that maybe we're not telling well enough, or that it gets missed, is out of that is actually a brand new company called Hewlett-Packard Enterprise, which is uniquely focused on serving enterprise infrastructure customers. And so I think, if I was going to encourage a news story, it's about the phoenix of that, and not the fact that we've taken the yes guys, and the software guys, and the PC guys. It's that company, maybe in Madrid we'll do this, and that company, that's really, really, really exciting. And as you said, storage; sort of in a Ptolemy versus Galileo approach. We believe everything, first of all, revolves around storage. We don't believe in Galileo. So if you look in here at the booth, we've announced the next generation of MSA platforms of 2052, we've got the 9450 3PAR -- three times as fast, more connectivity for All Flash solutions. We've talked about the secondary Flash array for Nimble, most effective place to protect your data is on an array, is on a type where the data came from, and that is the secondary Flash market. We're big into Cloud, we've talked about CloudBank here, which is the ability to keep a copy of your store-once data in any S3-compliant interface, including Scality. I don't know if I'm forgetting, I'm sure I'm forgetting something. >> John: There's a lot there. >> There's a lot there. >> I mean, you guys, I love your angle on the phoenix. We've been seeing that, we've been covering seven years now, and it is a phoenix. And the point that I think the news media is not getting on HP, there's a lot of fud out there, is that this is not a divested strategy. There's some things that went away that were the outsourcing business, but that was just natural. But this is HP-owned, it's not like it's like we're getting out of that, it's just how you're organizing it. >> And with a balance sheet that now is really a competitive weapon, if you will, you're going to see HP both grow organically and inorganically, and I think as the market continues to consolidate, the thing to remember also is there's fewer places to consolidate to. And so if you're a start-up, there's a handful of companies that you can go to now, and probably the best-equipped, right-sized, great balance sheet, great company, is Hewlett-Packard Enterprise. >> Well we had hoped to get Chris Hsu on, but I've always said the day we talk about the debates on management style, but I've always been a big believer as a computer science undergraduate, decouple highly cohesive strategy is a really viable one, I think that's a great one. >> Yeah, and there's still a good partnership with DXC, there'll be a great partnership with Micro Focus, and there's both financially as well as from a business perspective. But it's really an opportunity to focus, and if I was at another company, I would wonder whether or not if their strategy continues to be appropriate. >> Bill Philbin, senior Vice President and general manager of storage and big data at Hewlett-Packard Enterprises, theCUBE more live coverage after the short break. From Las Vegas, HPE Discover 2017, I'm John Furrier with Dave Vellante with theCUBE, we'll be right back after this short break.