 from Berlin, Germany. It's theCUBE, covering DataWorks Summit Europe 2018. Brought to you by Hortonworks. Hello, welcome to theCUBE. We're here at DataWorks Summit 2018 in Berlin, Germany. I'm James Gabila, I'm the lead analyst for Big Data Analytics within the Wikibon team of SiliconANGLE Media. Our guest is John Kreisler. He's the VP for marketing at Hortonworks, of course the host company of DataWorks Summit. John, it's great to have you. Thank you, Jim. Great to be here. We go long back, so it's always great to reconnect to you guys at Hortonworks. You guys are on a roll. It's been seven years now, I think since you were founded. I remember the founding of Hortonworks. I remember when it splashed in the Wall Street Journal, it was like, oh, wow, this big data thing, this Hadoop thing is actually, it's a market, it's a segment, and you guys have built it. You and your competitors, your partners, your ecosystem continues to grow. You guys went IPO a few years ago. Your latest numbers are pretty good. You're continuing to grow in revenues and customer acquisitions. Your deal sizes are growing. So Hortonworks remains on a roll. So I'd like you to talk right now, John, give us a sense for where Hortonworks is at in terms of engaging with the marketplace, in terms of trends that you're seeing, in terms of how you're addressing them. But talk about, first of all, what data works summit. How many attendees do you have from how many countries? Just give us sort of a layout of the show. And I don't have all the final counts yet. This is year six of the show. This is year six in Europe. Absolutely, thank you. So it's great. We've moved it around different locations. Great venue, great host city here in Berlin. Super excited about it. I know we have representatives from more than 51 countries. If you could think about that, drawing from a really broad set of countries, well beyond, as you know, because you've interviewed some of the folks beyond just Europe. We've had them from South America, US, Africa, just in Asia as well. So really a broad swath of the open source and big data community, which is great. Final attendance is going to be, you know, 1,250 to 1,300 range. The final numbers put a great size conference. The energy level's been really great. The sessions have been, you know, over subscribed, standing room only in many of this popular session. So, you know, the community is strong. I think that's the thing that we really see here and that we're really continuing to invest in. It's something that Hortonworks was founded around. You referenced the founding and, you know, driving the community forward and investing is something that, you know, has been part of our mantra since we started and it remains that way today. Right. So, what trends, first of all, what is Hortonworks? Now, how does Hortonworks position itself? You're not, clearly Hadoop is your foundation, but you just like Cloudera, MapR, you guys have all continued to evolve to address a broader range of use cases with a deeper stack of technology with fairly extensive partner ecosystem. So, what kind of a beast is Hortonworks? Is it an elephant? Well, what kind of an elephant is it? We're an elephant, we're riding on the elephant, I'd say. So, we're a global data management company, right? That's what we're helping organizations do. Really the end-to-end life cycle of their data, helping them manage it regardless of where it is, whether it's on-premise or in the cloud, really through a hybrid data architectures. And that's really how we've seen the market evolve, is we started off in terms of our strategy with the platform based on Hadoop, as you said, to store, process and analyze data at scale, right? The kind of fundamental use case for Hadoop. Then as the company emerged, as the market continued to evolve, we moved to and saw the opportunity really for capturing data from the edge, right? As IoT and kind of edge use cases emerged, it made sense for us to add to the platform and create the Hortonworks data for all. Apache NIFI and so forth, HDF, yes. Exactly, HDF underneath, with associated additional open source projects in there, Kafka and some streaming and things like that. So that was now move data, capture data in motion, move it back and put it into the platform for those large data applications that organizations are building on the core platform. So the next evolution, seeing great attach rates with that, the really strong interest in Apache NIFI, the meetup here for NIFI was oversubscribed, so really, really strong interest in that. And then the markets continued to evolve with cloud and cloud architectures, customers wanting to deploy in the cloud. And you saw we had that poll yesterday in the general session about cloud, it was really interesting results. But we saw that there was really companies wanting to deploy in a hybrid way. Some of them wanted to move specific workloads to the cloud. Multi-cloud, public, private. Exactly right, and multi-data center, right? But majority of your customer deployments are on-prem. I mean, Rob Bearden, your CEO, I think he said in a recent article on Silicon Angle that two-thirds of your deployments are on-prem. Is that percentage going down over time? Is it more of your customers shifting towards a public cloud orientation? Does Hortonworks worry about that? You've got partnerships, clearly, with the likes of IBM and AWS and Microsoft Azure and so forth. So do you guys see that as an opportunity, as a worrisome trend? Now, I see it very much as an opportunity. And that's because we do have customers who are wanting to put more workloads and run things in the cloud. However, there's still almost always a component that's going to be on-premise. And that creates a challenge for organizations in order, how do they manage the security and governance and really the overall operations of those deployments as they're in the cloud and on-premise, and to your point, multi-cloud. And so you get some complexity in there around that deployment and particularly with the regulations. We talked about GDPR earlier today. By the way, the Data Steward Studio demo today was really, really good. It showed that it's, first of all, you cover the entire range of core requirements for compliance. So that was actually, that was the primary announcement at the show, Scott, now announced that. You demoed it today, I think you guys are off on a good start. Well, we've gotten really, no, thank you for that. We've gotten really good feedback on our Data Plane Services strategy, right? It provides that single pane of glass. I should say to our viewers is that Data Steward Studio is the second of the services under the Data Plane, Hortonworks Data Plane Services portfolio. I'm sorry. That's right, yeah, keep going, yeah. Yeah, no, so we saw that as, we see that as an opportunity. We think we're very strongly positioned in the market and being the first to bring that kind of solution to the customers. And our large customers that we've been talking about and who've been starting to use Data Plane have been very, very positive. I mean, they see it as something that's going to help them really kind of maintain control over these deployments as they start to spread around, as they grow their uses of the thing. And it's built to operate across the multi-cloud, I know this is well in terms of executing the consent or withdrawal of consent that the data subject makes through essentially what's a consent portal. So, yeah. That's right. That was actually a very compelling demonstration in that regard. It was good and they worked very hard on it. The, and I was speaking to an analyst yesterday and they were saying that they're seeing increasing number of the customers wanting, enterprises wanting to have a multi-cloud strategy, right? They don't want to get locked into any one public cloud vendor. So, what they want is somebody who can help them maintain that common security and governance across their different deployments and they see Data Plane Services as a way to kind of help them do that. So John, how is Hortonworks? What's your roadmap? How do you see the company and your go-to-market involving over the coming years in terms of geographies, in terms of your focuses, focus in terms of the use cases and workloads that the Hortonworks portfolio addresses. How is that shifting? I mean, we mentioned, you mentioned the edge. AI, machine learning, deep learning. You are, I think you're a reseller of IBM data science experience. That's right. So, do you see, let's just focus on that. Do you see more customers turning to Hortonworks at IBM for a complete end-to-end pipeline for the ingest, for the preparation of modeling and training and so forth, and deployment of operationalized AI and so forth? Is that something you see going forward as an evolution path for your capabilities? I'd say yes, long term or even in the short term. So, they have to get their data house in order, if you will, before they get to some of those other things. So, we're still, and our strategy, Hortonworks strategy has always been focused on the platform aspect, right? The data at rest platform, data in most platform, and now platform for managing common security and governance across those different deployments. Building on that is the data science, machine learning, and AI opportunity. But our strategy there, as opposed to trying to do it ourselves, is to partner. So, we've got this strong partnership with IBM, resell their DSX product, and also other partnerships around to deliver those other capabilities like machine learning and AI, from our partner ecosystem, which you referenced. We have over 2,300 partners. So, very, very strong ecosystem. And so, we're going to stick to our strategy of the platforms, enabling that, which will subsequently enable data science and machine learning AI on top. And then our strategy, if you want me to talk about our strategy in terms of growth. So, we already operate globally. We've got offices, I think, in 19 different countries. So, we've got really covering the globe in terms of the demand for Hortonworks products. Where's the fastest growing market in terms of regions for Hortonworks? Yeah, I mean, international. Yeah, international, generally, is our fastest growing region, faster than the US. But we are seeing, yeah, very strong growth in APEC, actually. So, India, you know, ASEAN countries, you know, Singapore, and then up and through to Japan. There's a lot of growth out in the ASEAN region. And, you know, they're sort of moving directly to digital transformation projects at really large scale. Big banks, telcos, and, you know, from a workload standpoint, it's actually, I'd say the patterns are very similar to what we've seen. You know, I've been at Hortonworks for six and a half years, as it turns out. And the patterns we saw initially in terms of adoption in the US became the patterns we saw in terms of adoption in Europe. And now those patterns of adoption are the same in Asia. So, it really, once a company realizes they need to, you know, either drive out operational costs or build new data applications, you know, the patterns tend to be the same, whether it's retail, financial services, telco, manufacturing, you know, that you can sort of replicate those as they move forward. So, okay, so going forward, how is Hortonworks evolving as a company in terms of, now that, for example, with GDPR, data stewards, data governance is a strong focus going forward. Are you shifting your model in terms of your target customer away from the data engineers, the Hadoop cluster managers of, you know, who are still very much the center of it, towards more data governance, towards more, that's really more business analyst level of focus. Is that, do you see Hortonworks shifting in that direction in terms of your focus? Is it a good question? Is it a message in everything? I would say it's not a shifting as much as an expansion. So we definitely are continuing to invest in the core platform and Hadoop and you would have heard of some of the changes that are coming in the core Hadoop 3.0 and 3.1 platform here. Alan and others can talk about those details and Apache NIFI, but to your point, as we bring and have brought Data Steward Studio and Data Plane Services online, that allows us to address a different user within the organization, and so it's really an expansion. We're not de-investing in any of the other things. It's really, here's another way and a natural evolution of the way that we're helping organizations solve data problems. That's great, well thank you. This has been John Chrissy. He's the VP for Marketing at Hortonworks. I'm James Kobielus of Wikibon SiliconANGLE Media here at DataWorks Summit 2018 in Berlin, and it's been great, John, and thank you very much for coming on theCUBE. Great, thanks for your time.