>> Announcer: Live from Las Vegas, it's theCUBE. Covering AWS re:Invent 2017. Presented by AWS, Intel, and our ecosystem of partners. >> Well we are back live here at the Sands Expo Center. We're of course in Las Vegas live at re:Invent. AWS putting on quite a show here. Day one of three days of coverage you'll be seeing right here on theCUBE. I'm John Walls along with Justin Warren. And we're now joined by a couple folks from Datameer. Justin Rodatus who's the CEO of that company, and Pooja Palan who's the Senior Product Manager. And Christian and Pusha thanks for being with us. Good to have you here on theCUBE. >> Thanks for having us. >> So you were cube-ing at just recently up at New York, Christian. >> Yeah absolutely we were seeing your guys in New York and we had actually, we've done some work with a couple of customers probably two weeks ago in Palo Alto I believe. >> I don't know how we can afford you. I mean I'm gonna have to look into our budget. >> Christian: Happy to be here again. >> Okay no it is great, thank for taking the time here. I know this is a busy week for you all. First off let's talk about Datameer in general just to let the audience at home known in case they're not familiar with what you're doing from a core competency standpoint. And let's talk about what you're doing here. >> Absolutely, I mean Datameer was founded eight years ago and Datameer was only an onset of the big data wave that started in the 2009 and 2010 time frame. And Datameer was actually the first commercial platform that provided a tool set to enable our customers to consume enterprise scale Hadoop solutions for their enterprise analytics. So we do everything from ingesting the data into the data lake or we're preparing the data for a consumption by analytics tools throughout the enterprise. And we just recently also launched our own visualization capabilities for sophisticated analysis against very large data sets. We also are capable of integrating machine learning solutions and preparing data for machine learning throughout the organization. And probably the biggest push is into the cloud. And we've been in the cloud for couple of years now, but we see increased momentum from our customers in the market place for about 15 months now I would say. >> So before we dive a little deeper here I'm just kind of curious about your work in general. It's kind of chicken and the egg right? You're trying to come up with new products to meet customer demand. So are you producing to give them what you think they need or are you producing on what they're telling you that they need? How does that work as far as trying to keep up with-- >> You know I can kick this off. So it's actually interesting that you ask this because the customers that did interviews with you guys two weeks ago were part of our customer advisory council. So we get direct feedback from leading customers that do really sophisticated things with Datameer. They are at the forefront of developing really mind blowing analytical applications for high value use cases throughout their organizations. And they help us understanding where theses trends go. And to give you an example. So I was recently in a meeting with a Chief Data Officer of a large global bank in London. And they have kicked off 32 Hadoop projects throughout the organization. And what he told me is just these projects will lead to an expansion of the physical footprint of the data centers in the UK by 30%. So in (mumbles) we are not in the data center business, we don't want this, we need other people to take care of this. And they've launched a massive initiative with Amazon to bring a big chunk of their enterprise analytics into AWS. >> It sounds like you're actually really ahead of the curve in many ways 'cause of the explosion in machine learning and AI, that data analytics side of things. Yeah we had big data for a little while, but it's really hitting now where people are starting to really show some of the amazing things that you can do with data and analysis. So what are you seeing from these customers? What are some of the things that they're saying, actually this thing here, this is what we really love about Datameer, and this is something that we can do here that we wouldn't be able to do in any other way. >> Shall I take that? So when it comes to heart of the matter, there's like you know three things that Datameer hits on really well. So in terms of our user personas, we look at all of our users, our analysts, and data engineers. So what we provide them with that ease of use, being able to take data from anywhere, and be able to use any multiple analytic capabilities within one tool without having to jump around in all different UI's. So it's like ease of use single interface. The second one that they really like about us is being able to not have to, whatever being able to not have to switch between interfaces to be able to get something done. So if they want to ingest data from different sources, it's one place to go to. If they want to access their data, all of it is in the single file browser. They want to munch their data, prepare data, analyze data, it's all within the same interface. And they don't have to use 10 different tools to be able to do that. It's a very seamless workflow. And the same token, the third thing which comes up is that collaboration. It enables collaboration across different user groups within the same organization. Which means that we are totally enabling the data democratization which all of the self service tools are trying to promote here. Making the IT's job easier. And that's what Datameer enables. So it's kind of like a win-win situation between our users and the IT. And the third thing that I want to talk about, which is the IT, making their lives easier, but at the same time not letting them go off, leaving the leash alone. Enabling governance, and that's a key challenge, which is where Datameer comes in the picture to be able to provide enterprise ready governance to be able to deploy it across the board in the organization. >> Yeah, that's something that AWS is certainly lead in, is that democratization of access to things so that you can as individual developers, or individual users go and make use of some of these cloud resources. And seeing here at the show, and we've been talking about that today, about this is becoming a much more enterprise type issue. So being able to do that, have that self service, but also have some of those enterprise level controls. We're starting to see a lot of focus on that from enterprises who want to use cloud, but they really want to make sure that they do it properly, and they do it securely. So what are some of the things that Datameer is doing that helps customers keep that kind of enterprise level control, but without getting in the way of people being able to just use the cloud services to do what they want to do? So could you give us some examples of that maybe? >> I let Puja comment on the specifics on how we deploy in AWS and other cloud solutions for that matter. But what you see with on premise data lakes, customers are struggling with it. So the stack has become outrageously complicated. So they try to stitch all these various solutions together. The open source community I believe now supports 27 different technology platforms. And then there's dozens over dozens of commercial tools that play into that. And what they want, they actually just want this thing to work. They want to deploy what they used from the enterprise IT. Scalability, security, seamlessness across the platforms, appropriate service level agreements with the end user communities and so on and so forth. So they really struggle to make this happen on premise. The cloud address a lot of these issues and takes a lot of the burden away, and it becomes way more flexible, scalable, and adjustable to whatever they need. And when it comes to the specific deployments and how we do this, and we give them enterprise grade solutions that make sense for them, Puja maybe you can comment on that. >> Sure absolutely, and more specific to cloud I would love to talk about this. So in the recent times one of our very first financial services customers went on cloud, and that pretty much brings us over here being even more excited about it. And trust me, even before elasticity, their number one requirement is security. And as part of security, it's not just like, one two three Amazon takes care of it, it's sorted, we have security as part of Datameer, it's been deployed before it's sorted. It's not enough. So when it comes to security it's security at multiple levels, it's security about data in motion, it's security about data at rest. So encryption across the board. And then specifically right now while we're at the Amazon conference, we're talking about enabling key management services, being able to have server-side encryption that Amazon enables. Being able to support that, and then besides that, there's a lot of other custom requirements specifically around how do you, because it's more of hybrid architecture. They do have applications on-prem, they do have like a deployed cloud infrastructure to do compute in the cloud as it may needed for any kind of worst workloads. So as part of that, when data moves between, within their land to the cloud, within that VPC, that itself, those connectivity has to be secured and they want to make sure that all of those user passwords, all of that authentication is also kind of secure. So we've enabled a bunch of capabilities around that, specifically for customers who are like super keen on having security, taking care of rule number one, even before they go. >> So financial services, I mean you mentioned that and both of you are talking about it. That's a pretty big target market for you right? I mean you've really made it a point of emphasis. Are there concerns, or I get it (mumbles) so we understand how treasured that data can be. But do you provide anything different for them? I mean is the data point is a point as opposed to another business. You just protect the same way? Or do you have unique processes and procedures and treatments in place that give them maybe whatever that additional of oomph of comfort is that they need? >> So that's a good question. So in principle we service a couple of industries that are very demanding. So it's financial services, it's telecommunication and media, it's government agencies, insurance companies. And when you look at the complexities of the stack that I've described. It's very challenging to make security, scalability in these things really happen. You can not inherit security protocols throughout the stack. So you stack a data prep piece together with a BI accelerator with an ingest tool. These things don't make sense. So the big advantage of Datameer is it's an end to end tool. We do everything from ingest, data preparation to enterprise scale analytics, and provide this out of the box in a seamless fashion to our customers. >> It is fascinating how the whole ecosystem has sort of changed in what feels like only a couple of years and how much customers are taking some of these things and putting them together to create some amazing new products and new ways of doing things. So can you give us a bit of an idea of, you were saying earlier that cloud was sort of, it was about two years ago, three years ago. What was it that finally tipped you over and said you know what we gotta do this. We're hearing a lot of talk about people wanting hybrid solutions, wanting to be able to do bursting. What was it really that drove you from the customer perspective to say you know what we have to do this, and we have to go into AWS? >> Did you just catch the entire question? Just repeat the last one. What drove it to the cloud? >> Justin: Yeah, what drove you to the cloud? >> John: What puts you over the top? >> I mean, so this is a very interesting question because Datameer was always innovating ahead of the curve. And this is probably a big piece to the story. And if you look back. I think the first cloud solutions with Microsoft Azure. So first I think we did our own cloud solution, and we moved to Microsoft Azure and this was already maybe two and a half years ago, or even longer. So we were ahead of the curve. Then I would say it was even too early. You saw some adoption, so we have a couple of great customers like JC Penny is already operating in the cloud for us, big retail company, they're actually in AWS. National Instruments works in Microsoft Azure. So there's some good adoption, but now you see this accelerating. And it's related to the complexity of the stack, to the multiple points of failure of on premise solutions to the fact that people want, really they want elasticity. They want flexibility in rolling this out. The primary, interestingly enough, the primary motivators actually not cost. It's really a breathable solution that allows them to spin up clusters, to manage certain workloads that come for a compliance report every quarter. They need another 50 notes, spin them up, run them for a week or two and spin them down again. So it's really the customers are buying elasticity, they're buying elasticity from a technology perspective. They're buying elasticity from a commercial perspective. But they want enterprise grade. >> Yeah we certainly hear customers like that flexibility. >> And I think we are now at a tipping point where customers see that they can actually do this in a highly secure and governed way. So especially our demanding customers. And that it really makes sense from a commercial and elasticity perspective. >> So you were saying that's what they're buying, but they're buying what you're selling. So congratulations on that. Obviously it's working. So good luck, continued success down the road, and thanks for the time here today, we appreciate it. >> Absolutely, thanks for having us. >> John: Always good to have you on theCUBE. >> It's cocktail time, thanks for having us. >> It is five o' clock somewhere, here right now. Back with more live coverage from re:Invent. We'll be back here from Las Vegas live in just a bit. (electronic music)