 Live from Las Vegas, it's theCUBE! Covering AWS re-invent 2019. Brought to you by Amazon Web Services and Intel, along with its ecosystem partners. Welcome back inside the stands. We continue our coverage here, live coverage on theCUBE of AWS re-invent 2019. We're in day three and it's been wall to wall. A lot of fun here. Tuesday, Wednesday, now Thursday. Dave Vellante, I'm John Walls and we're joined by Christian Ramin, who is the founder and CEO of Etleep and Christian, good morning to you. Good morning, thanks for having me. Or good afternoon if you're watching on the East Coast right now. Let's talk about Etleep a little bit. I know you're all about data, but let's go ahead and introduce the company to those at home who might not be familiar with what your core focus is, the primary focus. Absolutely, so Etleep is a managed ETL as a service company. ETL is extract, transform, and load, basically about getting data from different data sources, like different applications and databases into a place where it can be analyzed, typically a data warehouse or a data lake. So let's talk about the big picture then, I mean, because this has been all about data, right? I mean, accessing data, coming from the edge, coming from multiple sources, IOT, all of this, right? You have this proliferation of data and applications that come with that. What are you seeing then, big picture-wise in terms of what people are doing with their data, how they're trying to access their data, how to try to derive more value from it, and how you serve all those masters, if you will. So there are a few trends that we see these days. One is an obvious one that data warehouses are moving to the cloud, right? So companies used to have data warehouses on premises and now they're in the cloud, they're cheaper and more scalable, right? With services like Redshift and Snowflake in particular on AWS. And then another trend is that companies have a lot more applications than they used to. In the old days, you would have maybe a few databases on premises that you would integrate into your data warehouses. Nowadays, companies have hundreds or even thousands of applications that effectively become data silos, right? Where analysts are seeing value in that data and they want to have access to it. So, I mean, ETL's obviously not going away. I mean, it's been here forever and it'll be here forever. The challenge with ETL has always been it's cumbersome, it's expensive, and now we have this new cloud era. How are you guys changing ETL? Yeah, ETL is something that everybody would like to see go away. Everybody would just like not to do it. They just want to get access to their data. It should be very unfortunate for you, right? Well, so we started at Leap because we saw that ETL is not going away. In fact, with all these applications and all these new needs that analysts have, it's actually becoming a bigger problem than it used to be. And so, what we wanted to do is basically take some of that pain out, right? So that companies can get to analyzing their data faster and with less engineering effort. Yeah, I mean, you hear this, you know, the typical stories that data scientists spend 80% of their time wrangling data, and it's true in any situation. So, are you trying to simplify or cloudify ETL? And if so, how are you doing that? So with the growth in the number of data analysts and the number of data analytics projects that companies want to take on, the traditional model of having a few engineers that know how to basically make the data available for analysts, that model is essentially now broken. And so, just like you want to democratize BI and democratize analytics, you essentially have to democratize ETL as well, right? Basically that process of making the data ready for analysis. And that is really what we're doing at Etli. We're opening up ETL to a much broader audience. So I'm interested in how, so I'm in pain. It's expensive, it's time consuming. Help me, Christian. How can you help me? Sure. So first of all, we're, at least specifically, we're 100% AWS. So we're deeply focused on Redshift data warehouses and S3 and Blue data lakes. And there's tremendous amount of innovation, those two sets of technologies now. Redshift made a bunch of very cool announcements here at AWS re-invent this year. And so what we do is we take the infrastructure piece out so you can deploy at Leap as a hosted service where we manage all the infrastructure for you or you can deploy it within your VPC. Again, in a much, much simplified way compared to traditional ETL technologies. And then beyond that, taking, building pipelines, building data pipelines used to be something that would take engineers six months to 18 months, something like that. But now what we see is companies using Etli, they're able to do it much faster, often in hours or days. Couple questions there. So exclusively Redshift, is that right? Or other analytic databases? So Etli is 100% AWS. We're deeply focused on integrating well with AWS technologies and services. So on the data warehousing side, we support Redshift and Snowflake. Okay, great. So I was going to ask you if Snowflake was part of that. So, well, you saw Redshift kind of, I sort of tongue in cheek joke, they took a page out of Snowflake separating compute and storage. That's going to make customers very happy so they can scale that independently. But there's a big trend going on. I wonder if you can address it. You were pointing out before that there's more data sources now because of the cloud. We were just having that conversation. And you're seeing the data exchange, more data sources, things like Redshift and Snowflake, machine intelligence, other tools like Databricks coming in, SageMaker Studios making it simpler. So it's just going to keep going faster and faster and faster, which creates opportunities for you guys. So are you seeing that trend? It's almost like a new wave of compute and workload coming into the cloud. Yeah, it's super interesting. Companies can now access a lot more data, more varied data, bigger volumes of data that they could before, and they want faster access to it, both in terms of the time that it takes to, you know, to bite zero, right? Like the time that it takes to get to the first analysis. And also in terms of the data flow itself, right? They now want up to the second or up to the millisecond essentially fresh data in their dashboards and for interactive analysis. What about the analytics side of this then? When we're talking about warehousing, but also having access to it and doing something with it. What's that evolution looking like now in this new world? So lots of new interesting technologies there too, you know, on the BI side. And our focus is on integrating really well with warehouses and lakes so that those BI tools can plug in and get access to the data straight away. So architecturally, how are you solving the problem? Why are you able to simplify? I'm presuming it's all built in the cloud. That's been, that's kind of an obvious one. But I wonder if you could talk about that a little bit because oftentimes when we talk to companies that have started born in the cloud, John Furrier has been using this notion of, you know, cloud native. Well, the meme that we've started is you take out the T in cloud native and it's cloud naive, right? So you're cloud native. Now what happens oftentimes with cloud native guys is much simpler, faster, lower cost, agile, you know, cloud mentality. But maybe sometimes it's not as functional as a company that's been around for 40 years. So you have to build that up. What's the state of ETL, you know, in your situation? Can you maybe describe that a little bit? How is it that the architecture is different and how, address functionality? Yeah, I mean, so a couple of things there. You mentioned Redshift earlier and how they now announce the separation of storage and compute. I think the same is true for ETL, right? We can build on these great services that AWS develops like S3 and Database Migration Service and EC2, Elastic MapReduce, right? We can take advantage of all these cloud primitives and so the infrastructure becomes operationally easier that way and less expensive and all those good things. You know, I wonder, Christian, if I can ask you something. You live in a complicated world. I mean, data's complicated and it's getting more complicated. We heard Andy Jassy on Tuesday really give a message to the enterprise. It wasn't really so much about the startups as it has previously been at AWS re-invent. I mean, certainly talking to developers but he was messaging CEOs. He had two or three CEOs on stage. But what we're describing here with Redshift and I threw in Databricks, SageMaker, Elastic MapReduce, your tooling, we just had a company on that does governance and builders have to kind of cobble these things together. Do you see an opportunity to actually create solutions for the enterprise or is that antithetical to the AWS cloud model? What are your thoughts on that? Oh, absolutely. No, these cloud services are fantastic primitives but enterprises clearly have a lot of, and we're seeing a lot of that, right? We started out in venture-backed tech and got a lot of venture-backed tech companies up and running quickly, but now that we're sort of moving up market and into the enterprise, we're seeing that they have requirements that go way beyond what venture-backed tech needs, right? In terms of security, governance, in ETL specifically, right? That manifests itself in terms of not allowing data to flow out of the company's virtual private cloud, for example. That's something that's very important in enterprise and much less important in venture-backed tech. Data lineage, right? That's another one. Understanding how data makes it from all those sources into the warehouse, what happens along the way, right? And regulated industries in particular, that's very important. Yeah, I mean, you know, AWS's mindset is, we got engineers, we're going to throw engineers at the problem and solve it. Many enterprises look at it differently. We'll pay money to save time, you know? Because we don't have the time, we don't have the resource. I feel like I'd like to see sort of increasing solutions focus. Maybe it's the big SIs that provide that. Now, are you guys in the marketplace today? We are, yep. That's awesome. So, how's that going? Yeah, you mean AWS Marketplace, right? Yes, yes. Yeah, that's definitely one channel that where there's a lot of promise, I think, both for enterprise companies. I mean, you've got to work it, obviously. The money just doesn't start rolling in. You've got to market it yourselves and partner. But that definitely simplifies that model, right? Of delivering solutions to the enterprise, for sure. So, what's down the road for you then, from ETL leaps perspectives here, or at leaps perspectives? You've talked about the complexities and what's occurred, that you're not going away. ETL's here to stay. Problems are getting bigger. What do you see the next 12, 18, 24 months as far as where you want to focus or what do you think your customers are going to need you to focus on? So, the big challenge, right, is that bigger and bigger companies now are realizing that there is a ton of value in their data in all these applications, right? But in order to get value out of it, you have to put engineering effort today into building and maintaining these data pipelines. And so, yes, our focus is on reducing that, reducing those engineering requirements, right? So that, both in terms of infrastructure, pipeline operation, pipeline setup, and those kinds of things. So we believe that a lot of that that's traditionally been done with specialized engineering can be done with great software. So that's what we're focused on building. I love that, you know, the company tagged the perfect data pipeline. I think of like the perfect summer, the guy catching the big wave out in Maui or someplace. Good luck on catching that perfect data pipeline. All right, Chris? I love what you guys are doing. You're solving a real problem. So congratulations. Thanks for your time. Good to meet you. Back with more of We Are Alive at AWS re-invent 2019, and you are watching theCUBE.