>> Narrator: Live from Las Vegas, it's theCUBE. Covering Dell EMC World 2017, brought to you by Dell EMC. >> Okay, welcome back everyone, we are live in Las Vegas for Dell EMC World 2017. This is theCUBE's eighth year of coverage of what was once EMC World, now it's Dell EMC World 2017. I'm John Furrier at SiliconANGLE, and also my cohost from SiliconANGLE, Paul Gillin. Our next guest is Vikram Bhambri, who is the Vice President of Product Management at Dell EMC. Formally with Microsoft Azure, knows cloud, knows VIPRE, knows the management, knows storage up and down, the Emerging Technologies Group, formerly of EMC. Good to see you on theCUBE again. >> Good to see you guys again. >> Okay, so Elastic Compute, this is going to be the game changer. We're so excited about one of our favorite interviews was your colleague we had on earlier. Unstructured data, object store, is becoming super valuable. And it was once the throwaway, "Yeah, store, later late ". Now with absent data driven enterprises having access to data is the value proposition that they're all driving towards. >> Absolutely. >> Where are you guys with making that happen and bringing that data to life? >> So, when I think about object storage in general, people talk about it's the S3 protocol, or it's the object protocol versus the file protocol. I think the conversation is not about that. The conversation is about data of the universe is increasing and it's increasing tremendously. We're talking about 44 zettabytes of data by 2020. You need an easier way to consume, store, that data in a meaningful way, and not only just that but being able to derive meaningful insights out of that either when the data is coming in or when the data is stored on a periodic basis being able to drive value. So having access to the data at any point of time, anywhere, is the most important aspect of it. And with ECS we've been able to actually attack the market from both sides. Whether it's talking about moving data from higher cost storage arrays or higher performance tiers down to a more accessible, more cheap storage that is available geographically, that's one market. And then also you have tons of data that's available on the tape drive but that data is so difficult to access, so not available. And if you want to go put that tape back on a actual active system the turnaround time is so long. So being able to turn all of that storage into an active storage system that's accessible all the time is the real value proposition that we have to talk about. >> Well now help me understand this because we have all these different ways to make sense of unstructured data now. We have NoSQL databases, we have JSON, we have HDFS, and we've got object storage. Where does it fit into the hierarchy of making sense of unstructured data? >> The simplest way to think about it is we talk about a data ocean, with the amount of data that's growing. Having the capability to store data that is in a global content repository. That is accessible-- >> Meaning one massive repository. >> One massive repository. And not necessarily in one data center, right? It's spread across multiple data centers, it's accessible, available with a single, global namespace, regardless of whether you're trying to access data from location A or location B. But having that data be available through a single global namespace is the key value proposition that object storage brings to bear. The other part is the economics that we're able to provide consistently better than what the public clouds are able to offer. You're talking about anywhere between 30 to 48% cheaper TCO than what public clouds are able to offer, in your own data center with all the constraints that you want to like upload to it, whether it's regular environments. Whether you're talking about country specific clouds and such, that's where it fits well together. But, exposing that same data out whether through HDFS or a file is where ECS differentiated itself from other cloud platforms. Yes, you can go to a Hadoop cluster and do a separate data processing but then you're creating more copies of the same data that you have in your primary storage. So things like that essentially help position object as the global content repository where you can just dump and forget about, about the storage needs. >> Vikram I want to ask you about the elastic cloud storage, as you mentioned, ECS, it's been around for a couple of years. You just announced a ECS lesser cloud storage, dedicated cloud. Can you tell me what that is and more about that because some people think of elastic they think Amazon, "I'll just throw it in object storage in the cloud." What are you guys doing specifically 'cause you have this hybrid offering. >> Absolutely. >> What is this about, can you explain that? >> Yeah, so if you look at, there are two extremes, or two paradigms that people are attracted by. On one side you have public clouds which give you the ease of use, you just swipe your credit card and you're in business. You don't have to worry about the infrastructure, you don't have to worry about, like, "Where my data is going to be stored?" It's just there. And then on the other side you have regular environments or you just have environments where you cannot move to public clouds so customers end up put in ECS, or other object storage for that matter, though ECS is the best. >> John: Biased, but that's okay. >> Yeah, now we are starting to see customers they're saying, "Can I have the best of both worlds? "Can I have a situation where I like the ease of use "of the public cloud but I don't want to "be in a shared bathtub environment. "I don't want to be in a public cloud environment. "I like the privacy that you are able to provide me "with this ECS in my own data center "but I don't want to take on the infrastructure management." So for those customers we have launched ECS dedicated cloud service. And this is specifically targeted for scenarios where customers have maybe one data center, two data centers, but they want to use the full strength and the capabilities of ECS. So what we're telling them we will actually put their bought ECS in our data centers, ECS team will operate and manage that environment for the customer but they're the only dedicated customer on that cloud. So that means they have their own environment-- >> It's completely secure for their data. >> Vikram: Exactly. >> No multi tenant issues at all. >> No, and you can have either partial capabilities in our data center, or you can fully host in our data center. So you can do various permutation and combinations thus giving customers a lot of flexibility of starting with one point and moving to the other. Let's them start with a private cloud, they want to move to a hybrid version they can move that, or if they start from the hybrid and they want to go back to their own data centers they can do that as well. >> Let's change gears and talk about IoT. You guys had launched Project Nautilus, we also heard that from your boss earlier, two days ago. What is that about? Explain, specifically, what is Project Nautilus? >> So as I was mentioning earlier there is a whole universe of data that is now being generated by these IoT devices. Whether you're talking about connected cars, you're talking about wind sensors, you're talking about anything that collects a piece of data that needs to be not only stored but people want to do realtime analysis on that dataset. And today people end up using a combination of 10 different things. They're using Kafka, Speak, HDFS, Cassandra, DASH storage to build together a makeshift solution, that sort of works but doesn't really. Or you end up, like, if you're in the public cloud you'll end up using some implementation of Lambda Architecture. But the challenge there is you're storing same amount of data in a few different places, and not only that there is no consistent way of managing data, processing data that effectively. So what Project Nautilus is our attempt to essentially streamline all of that. Allow stream of data that's coming from these IoT devices to be processed realtime, or for batch, in the same solution. And then once you've done that processing you essentially push that data down to a tier, whether it's Isilon or ECS, depending on the use case that you are trying to do. So it simplifies the whole story on realtime analytics and you don't want to do it in a closed source way. What we've done is we've created this new paradigm, or new primitive called streaming storage, and we are open sourcing it, we are Project Pravega, which is in the Apache Foundation. We want the whole community, just like there is a common sense of awareness for object file we want to that same thing for streaming storage-- >> So you guys are active in open source. Explain quickly, many might not know that. Talk about that. >> So, yeah, as I mentioned Project Prevega is something we announced at Flink Forward Conference. It's a streaming storage layer which is completely open source in the Apache Foundation and we just open sourced it today. And giving customers the capability to contribute code to it, take their version, or they can do whatever they want to do, like build additional innovation on top. And the goal is to make streaming storage just like a common paradigm like everything else. And in addition we're partnering with another open source component. There is a company called data Artisans based out of Berlin, Germany, and they have a project called Flink, and we're working with them pretty closely to bring Nautilus to fruition. >> theCUBE was there by the way, we covered Flink Forward again, one of the-- >> Paul: True streaming engine. >> Very good, very big open source project. >> Yeah, we we're talking with Jeff Woodrow earlier about software defined storage, self driving storage as he calls it. >> Where does ECS fit in the self driving storage? Is this an important part of what you're doing right now or is it a different use? >> Yeah, our vision right from the beginning itself was when we built this next generation of object storage system it has to be software first. Not only software first where a customer can choose their commodity hardware to bring to bear or we an supply the commodity hardware but over time build intelligence in that layer of software so that you can pull data off smartly to other, from SSDs to more SATA based drives. Or you can bring in smarts around metadata search capabilities that we've introduced recently. Because you have now billions of billions of records that are being stored on ECS. You want ease of search of what specifically you're looking for, so we introduced metadata search capability. So making the storage system and all of the data services that were usually outside of the platform, making them be part of the code platform itself. >> Are you working with Elasticsearch? >> Yes, we are using Elasticsearch more to enable customers who want to get insights about ECS itself. And Nautilus, of course, is also going to integrate with Elasticsearch as well. >> Vikram let's wrap this up. Thank you for coming on theCUBE. Bottom line, what's the bottom line message, quickly, summarize the value proposition, why customers should be using ECS, what's the big aha moment, what's the proposition? >> I would say the value proposition is very simple. Sometimes it can be like, people talk about lots of complex terms, it's very simple. Sustainably, low cost storage, for storing a wide variety of content in a global content repository is the key value proposition. >> And used for application developers to tap into? The whole dev ops, data as code, infrastructure as code movement. >> Yeah, you start, what we have seen in the majority of the used cases customers start with one used case of archiving. And then they very quickly realize that there's, it's like a Swiss Army knife. You start with archiving then you move on to application development, more modern applications, or in the cloud native applications development. And now with IoT and Nautilus being able to leverage data from these IoT devices onto these-- >> As I said two days ago, I think this is a huge, important area for agile developers. Having access to data in less than a hundred milliseconds, from any place in the world, is going to be table steaks. >> ECS has to be, or in general, object storage, has to be part of every important conversation that is happening about digital IT transformation. >> It sounds like eventually most of the data's going to end up there. >> Absolutely. >> Okay, so I'll put ya on the spot. When are we going to be seeing data in less than a hundred milliseconds from any database anywhere in the fabric of a company for a developer to call a data ocean and give me data back from any database, from any transaction in less than a hundred milliseconds? Can we do that today? >> We can do that today, it's available today. The challenge is how quickly enterprises are adopting the technology. >> John: So they got to architect it? >> Yeah. >> They have to architect it. >> Paul: If it's all of Isilon. >> They can pull it, they can cloud pull it down from Isilon to ECS. >> True. >> Yeah. >> Speed, low latency, is the key to success. Congratulations. >> Thank you so much. >> And I love this new object store, love this tier two value proposition. It's so much more compelling for developers, certainly in cloud native. >> Vikram: Absolutely. >> Vikram, here on theCUBE, bringing you more action from Las Vegas. We'll be right back as day three coverage continues here at Dell EMC World 2017. I'm John Furrier with Paul Gillan, we'll be right back.