 Live from Boston, Massachusetts, extracting the signal from the noise, it's theCUBE, covering Red Hat Summit 2015. Brought to you by Red Hat. Now your host, Dave Vellante. Everybody we're back, welcome to Red Hat Summit. This is theCUBE. We got a special segment, Dean Yao is here. He's with Jay Report, very interesting company doing embedded visualization. Welcome to theCUBE, thanks for coming on. All right, so I had not heard of Jay Report before. One of our guys was walking the floor, found you guys, found an interesting story. So what are you guys all about? Yeah, so it's funny you said you haven't heard of us because we are white labeled oftentimes. We work a lot with ISVs and we actually embed reporting functionality, dashboard functionality, data visualization, data analysis into ISV applications for them to provide their services to their customers. We have a reporting engine called Jay Report Server and yeah, we've been around for about 17 years. Now the company's based in Maryland, you're based in San Francisco. So you're in the heart of Silicon Valley and you got a PhD, but you're in marketing. How'd that all come about? Yeah, you noticed that on my business card. So yeah, I had a background in engineering, went to USC for a PhD in computer science, worked at some great companies, Intel learned a lot, VMware, shifted in marketing around that time and stayed with it. I like to understand how businesses make money and yeah, it's been a great experience ever since. So I want to pick your brain on the industry because you've got a good perspective of being in San Francisco. But before we do that, let's stay on Jay Report for a little bit. So talk more about what you guys, when I heard us, oh, you like Tableau and Click and your answer was well, no, those guys are more enterprise, we're embedded. Explain more what you do and how you're different from those other companies. Sure, so our heritage from the very beginning back in 1998 was in embeddable reporting and that's still our focus. But we were able to build out a foundational reporting engine for the past 10 years and really make that rock solid and bulletproof. That is a foundation for what makes everything else possible. We have now enhancements in visualization, dashboarding technology, analysis and analytics technology, but it's all cord on that foundational reporting element. So folks like Tableau are awesome at visualization, but we are focused still focused on the embeddable aspects of reporting analytics and dashboards into other applications. So is it fair to say you're more of an internet of things play? I mean, that's a tailwind for you? We actually work with some internet of things, vendors as data sources. We actually work with a lot of different types of databases, data warehouses, Hadoop vendors, NoSQL databases and now with internet of things, IOT vendors as well. So talk more about the tech itself. What's the secret sauce behind it? Maybe you could describe it a little bit. Right. So the secret sauce really is in the robustness, the performance of our reporting engine, Jairport. You can cluster that out. It's scalable, has no single points of failure. And also it's an ease of use self-service ability. So we don't cater to, per se, the data scientists. We cater to the business users that actually want to create reports, dashboards, do their own analysis, not as 100% of their job, but occasionally when they need it. So they need to be able to self-service the work that they need done immediately right away without having to bother anybody else. That's kind of the holy grail of big data, is BI for the masses. Although we don't like to call it BI because BI sucks, I mean, so. So, but whatever you want, visualization, analytics for a modern world. So your consumer is the business user, typically? Right, business users, power users, folks that really need to create reports. Of course we have can reports capabilities, but really our strength and stability for the end user to create what they need. Now you just had an event last week, last night, with Cisco and MapR, what was that all about? Right, we had an event, I spoke at an event, the MapR conference, it's called Big Data Everywhere. So we're starting to see much more big data requirements from our customers. Traditionally we've been working with transactional data, and that's still a large part of our business. Relational databases, but everybody knows the growth of semi-structured and uninstructured data, and a lot of the big data vendors, no SQL databases, Hadoop databases, are really great at storing that. Well, what good is it to store that data if you can't get it into the hands of your end users to be able to decipher that, analyze that data, and make business decisions out of that data? So we work with MapR and other companies to be able to work with their technologies to most efficiently pull out that data and be able to give that data to end users to be able to visualize and make decisions out of that data. And you're saying you're primarily working with transaction data, Dean, what Oracle databases? Oracle databases, SQL servers, MySQL, the big names, you name it, we work with anyone that we can connect to, standard interfaces, JDBC, ODBC, and even some native connectors that we've built. And your data type agnostic it sounds like, right? Right. Okay, so that, you say the unstructured stuff is a tailwind for you. I want to pick your brain about, so you're talking with, well first of all, what did you talk about? What was your talk, your speech about? It was embedded data visualization in a Hadoop environment. Okay, so you were sort of explaining your company, what you guys did, what's important, showed some examples, pretty pictures I'm sure. Pretty pictures, yeah. Some cool stuff, okay, great. What do you take on what's happening in big data Hadoop? You know, we've seen sort of the what is it? You know, to how can I use it? To, well I have one, now how do I get ROI to, it's like taking over my data warehouse. And then boom, Spark comes in. And everybody's saying, okay, Spark is going to replace the Doop, oh no it's not. So help us, give us your perspective. You live in San Francisco, you follow this stuff. Right, right, so you know, lots of activity going on with big data. Everyone defines it in a slightly different way. But what we see it as is, you know, you have the key players in big data. You have the great technologies. It's all driven by a lot of these open source technologies. Hadoop being a big one. Of course, no SQL databases with many different variants. I mean, you have your column databases, you have your graph. You have your document-based, no SQL databases. So we take all of that data. It doesn't really matter what type of big data source it is. But we're able to extract data either through interfaces like Hive or Apache Drill or even native connectors that we talk to their APIs. For example, MongoDB, we've built a native connector to talk to their aggregation framework API. It doesn't really matter. What we see it is that the no SQL databases are really great at online data, real-time data. So those are your sort of newer types of relational databases. We can grab those data, display them in real-time, or even detail-level reports. You know, line-by-line transactional, detail-level reports. And we talk to Hadoop data sources. We treat those like as data warehouses or data marts. And we pull those. They're very good at batch processing, very good at large-scale data storage and data processing. And it's a great way to visualize that stuff in a BI tool like J-report. So we see them as complementary technologies. A lot of customers are actually using both no SQL databases and Hadoop in the same environment for different purposes. Well, and really it was Cloudera's introduction of Impala and subsequent shipment that sort of changed the world of big data or Hadoop bringing in SQL as now the killer app for big data. You can't expect everyone to overnight start changing their SQL structure, SQL statements to something else. I mean, people are used to speaking in SQL, right? So they have to be able to support those types of interfaces. Well, the big problem with Hadoop is it's overwhelming complexity. And in a way, you provide a part of the answer to that problem through visualization. Right, right. What about Spark? Big trend, last week, Spark Summit. A lot of people say it'll simplify Hadoop tremendously. A lot of people say it's going to replace Hadoop. What's your take? Yeah, I mean, I don't think Hadoop is going, it's going to be replaced anytime soon. I mean, there's been a lot of companies actually investing a lot in Hadoop technologies. Certainly Spark is definitely another complementary technology. We'll see how that plays out in the industry. But as far as I see it, Hadoop has made some inroads in a lot of deployments that I don't see it being displaced very easily anytime soon. Do you have direct competitors? Who do you consider your direct competitors? Of course we have direct competitors. That's a good thing. Yeah, so we are a Java based shop, right? All of our software is written in Java. So we have competitors on the .NET side. Lodge Analytics is a competitor. Some of our competitors have been acquired by their companies. Jaspersoft certainly has been acquired by TIPCO. So, you know, those are the kind of the common names we see in deals. I see. And tell us more about the company. How big are you, VC funded? So it's interesting, we've been privately held, privately funded ever since 1998. Which allows us to maintain steady growth. We're not going to have layoffs, we're not going to have huge amounts of growth and spikes in growth, but it's a steady growth. So, we're about 150 people and yeah, we've been. Sizeable. Yeah. Awesome. Across different countries in the world. So what are you going on at the show? Yeah, we've been sponsoring here and it's been great talking to analysts, potential prospects. A lot of our partners are actually here as well. So it's been great talking to you guys as well. Fantastic. Well, Gene, thanks very much for coming on theCUBE. Thanks for having me. We appreciate the update and we'll be watching. Great, great. Thanks a lot. Appreciate it. You're welcome. Keep right there, buddy. We'll be back with our next guest, Dave Vellante with Stu Miniman. We're live at Red Hat Summit. This is theCUBE. We'll be right back.