>> Announcer: Live, from San Francisco. It's The Cube, covering Oracle Open World 2016. Brought to you by Oracle. Now, here's your host, John Furrier and Peter Burris. >> Hey, welcome back everyone, we are live here in San Francisco. This is SiliconANGLE Media's The Cube. It's our flagship program, we go out to the events and extract the signal from the noise. I'm John Furrier, the CEO of SiliconANGLE Media, joined by co-host Peter Burris all week. Three days of wall-walk of day three. He's the head of research at SiliconeANGLE Media Inc., as well as the general manager of Wikibon research. Our next guest is Roddy Martin, VP of SC Supply Chain Cloud Product Marketing at Oracle. Welcome to The Cube. >> Thank you very much for the opportunity. I look forward to the discussion. >> Thanks for coming on. Really want to hear your thought leadership around the supply chain transformation, because it might be a little bit bumpy depending upon your perspective. But is a huge opportunity going on in every single theater of where software used to be a point solution. The cloud is now an opportunity for customers to think differently, and is a catalyst for essentially a business model change as well as a fundamental data-driven change. Your thoughts on this? What do you see going on? What are the key inflection points? >> So a very interesting part of my background is I came out of the brewing industry in South Africa. and then I led the supply chain practice at AMR Research, which today is Gartner. And we did a lot of studies on, what are companies doing to lead this transformation? Because it's a transformation of the interim business operating model of a company. This is not stitching data together in the traditional supply chain system sense. So one of the very first foundations that is really fundamental, and Gartner has done a great job of carrying the search forward, is the idea that every company progresses to an interim operating model in five stages of capability, and every one of those builds on the other. So they're either reacting in stage one's problem and never saw the shortage coming and ran out of product. Stage two is I performance improve around projects. Stage three is I drive functional excellence. And stage four I start working as an engine outside an operating model. In other words, I'm driving the business from what's happening in the market and I'm making sure that supply is matching demand. So it's very interesting and it's very important to consider that as the base foundation for this whole discussion. >> So that outside is interesting, we've heard this before, a lot of people are going that way, but there's no shortcuts. Can you talk about, cause you talk about the endpoint is then outside-in. >> Right, when you're operating as a demand-driven interim supply channel operating model, you can't run out of supply, right? So if you saw a change happening in the marketplace but there's nothing to supply, you've really just messed up the business. And so, each of these stages builds on every other stage. So functional excellence is: Am I good at planning? Am I good at product management? Am I good at logistics? Because those are the foundations for operating in the interim business model. This is why the Oracle's blanching in the cloud, in fact all of Oracle's developments in the cloud are so important because you're effectively building a new process oriented operating model that spins the entire business. If I started off with ERP systems and then I put logistics in place and tied it together, there's all sorts of disconnects in the business. When you pick it up in cycle times, you pick it in disconnect sometimes, they don't see changes to the marketplace for weeks. So, this overarching end to end supply chain operating model in the cloud is a fundamental enabler. >> So how do you gauge a customer? First of all, I buy everything that you said, but I want to bring up a point, because it seems to me that the theme of Oracle OpenWorld that traditional applications and I won't say, I'll just say the word Silo just to use it as a point, has been a specific domain specific thing. But to be end to end and be outside-in, which is the end game, you have to know how to talk and integrate with other systems which might have been a problem if you built the most badass end to end system. >> That is a part of the challenge and in fact, a lot of companies that I've worked with over the 15 years I've been researching this, they get stuck for that very reason. In other words, this is a re-engineering of the whole IT infrastructure versus having a thousand consultants come in and tie all my data together over a question of four years and move 15 instances of whatever system you want to one. >> So, if I question on the journey thing, you mentioned thousands of consultants, which customers are now seeing. They want faster mile posts, they want to see faster agility but a lot of the customers actually outline the journey for the customer. So they're saying, here's your journey and they shorten the mile posts for the deliverables. But they're the one getting paid for it so is that the right model, should they be outlining the journey for the customer? >> And they are. It's been very interesting because I was a partner with a major global consulting company for four years and I've been mixing with them here, they suddenly recognizing that this path to the cloud is something they've better get on the bandwagon because they're not going to have a thousand consultants deploying whatever ERP system you talk about as the future of IT. So, what's happening is the business is having much more of a say in this fast deployment, fast time to value, putting these new-- >> So they're driving the journey for parameters? >> They are gearing up for this new journey, the consultants are. >> So, let's get to the fundamentals behind all this and ask a question about it. At the end of the day, digital technologies give customers an option to do their journeys very differently whether in a B2B sense or a consumer sense. And as they use digital technologies, they're also giving data up and so we have now a combination where customers are getting something out of digital, they are demanding it as part of the engagement model. They are giving up data along the way, and the technologies for sensing and doing something with that data in business are now, we're not figuring out how that impacts business design, process design, and offering design. >> So, that's stage 4S, what we talk about is people, process, and technology versus, in the past, when you had stage one, two, and three. People as one set of projects, process as another set of projects, and technology as another set of projects. >> Yeah, I may or may not take some middlings with the model you put out, but it does matter. At the end of the day, what is driving this increasingly is that it used to be that the dominant consideration in, I think, and I'm testing you, the dominant consideration was assets. Where is the physical asset, where are the materials, where is the machine, and we'll focus our returns on this things and then presume that there's a demand for it and now we're getting all this data about demand and that is having an impact on how we talk about arranging the assets. >> That is the inside-out to outside-in. So, let me give you an example without mentioning companies. A major retailer and a major pharmaceutical company. They share pollen data, they share weather data, they mine Facebook to find out what are people saying about allergies, let's say in New England. And the ragweed's busting and they say, do we have the right levels of inventory, and they're moving inventory to make sure that people who aren't on Facebook are saying we can't buy this particular product. They're moving inventory, that's the difference. >> So, they're sharing data amongst themselves. >> Yes, and they're collaborating between retailers. >> Arguably a similar example, and a retailer that's actually not moving inventory but moving pointers and offering new channel options so that someone decides may not, that they know somebody's going to come into the store, the size may not be there but they can still get it to them that day. >> So, it's very interesting, Procter and Gamble, who I did a lot of work with, and this is public domain information, the CEO drove two fundamental transformation messages in the business. And they called it the two moments of truth. He said, we will always have our product when we say we've got a product. So, if we promote a new product, the consumer goes to the shelf, it will be there. Moment of truth number two, we understand why consumers choose and use our products. And you don't fix number two until you fix number one because if I wanted a small tube of toothpaste and I went in and there were only big ones, it's the wrong buying signal. So, what you're seeing is that whole flip to measuring what the market's looking for and shaping their demand and then making sure that the assets and the supply system is geared to deliver. >> Right, I want to ask you a question. First of all, I love that point, I love your point about the data, but here's the question: cause supply chain has been very instrumentation drive, okay, and that certainly is transforming but now you mention Procter and Gamble. We are living in an era where, in the history of business, you can actually now potentially measure everything. So how does that impacting the reconfiguration of the business model? I mean, Procter and Gamble has those moments of truth, every company will have a moment of truth which is, everything is now measurable so, advertising to employee things and everything. >> So let's take the asset story versus the on shelf thing, right, so when I have assets and I'm getting all the data out of my assets, what am I doing with all of that data, right? Because it's not connected to demand. What I got to know is what demand data do I really want to be able to move my assets to the right place. >> Peter: By the way, the shelf is an asset. >> Of course it is, yes. It's a sensing point and it's an asset. They own it, they replenish that shelf. So the point is, data is everywhere and now these, the consulting and the BPM organizations supporting and companies doing their own business process manner, they got to know what data is really important and what data from the outside-in is going to allow me to leverage a new operating model for my business and become digital. >> So, this is really awesome, I was talking with an Oracle executive last night at one of their customer parties and we had a conversation around this data sharing. This is a new, different behavior. This is a theme of the show that no one's really talking about but it's in plain sight which is there is a data sharing aspect of systems and vendors and companies. >> Roddy: That's why the cloud is so important. >> John: This is now impacting everything. >> Everything. >> How do companies go forward and do this? What are you seeing, is there a best practice, is there a starting point? Is there a five step process on that? >> Well, first of all, these transformations are being lead by the C level executive team in a business. This is now longer somebody who decides to buy a new IT system and plug it in to the business. So, the business is saying, how do we change the operating model of the way we work, right? So, and then, what are the capabilities, and this is where that five stage model comes in, what capabilities do we need to look at building over the next three years so that we can operate in this intent way because you can't wake up tomorrow and go from an inside-out asset driven business to an outside-in demand driven business in two weeks. It ain't going to happen. >> So what's the progression? What's the progress bar look like when you have that moment of an epiphany and say, you know, I'm the CEO-- >> What's the earning point of the business? If it's Procter and Gamble, I want X number of one billion dollars brands. If you're a pharmaceutical company, you want to launch brand new drugs and you want to do it at half the price and half the speed that you're used to. It's the business articulating, this is why the leadership teams are so fundamental, articulating what's the burning platform and then translating that back into the capabilities-- >> So you get a reverse engineer. >> Outside-In. >> Outside-In, I love it. >> The way our research says it, and it's very similar but I want to test this because it's, we say start with context. >> Yes. >> What are you going to do with your customer that you have to do better than everybody else? And then identify the community that you're going to do it with and identify the capabilities that are going to delight that community. So it's context, community, and capabilities. >> Now here's the context, further piece to context. If context changes, how quickly do I sense that change and how fast can I respond to that change? Because if I've got all my asset capabilities and my supply capabilities locked into one set of context and that changes and I now have to re-engineer my whole business, I may lose the whole show in the process. I got to see those changes as they are happening, literally in real time. This is where the internet of things, this is where demand shaping, demand sensing, retailers collaborating, supplies connected into supply chain, everybody sharing that information and the fact that not many people, they don't know how to do it. The culture of business is not yet at the points-- >> That's why the measurement thing I brought up, I mean Procter and Gamble, they used to say to their agencies, we know that 50% of our advertising is good, we don't know which half. So now they can measure it all just like in every other aspect so this is where the business model-- >> You also have to be careful about whether or not, again going back to context changes, measurements change, data can blow you away. You have to be very smart about how you do it so a lot of these intelligent things, machine learning, how the models get built, how the insides get delivered, all become very very important. Very quickly, I have two quick questions for you. One is really approximate to the conversation, one less so but the approximate one: IOT. IOT is, has many many applications. Certainly turning analogue data into digital data so you can build models is a crucial piece of it. But it also has another implication in how you enact the output of that model back into the real word. How does supply chain and IOT come together? >> So if you look at the studies that are being done by Oracle and Gartner et cetera on what's important to the supply chain, two things come up. One is visibility and the other is analytics. Right, so there's tons of data available, to your point just now. That data could cause massive noise to the business unless you know what you're looking at. I know companies that will say, 95% visibility of changes on their demand side is good enough but I'm good enough on the supply side to be able to adjust. But you got to know which data to look at. So I'm looking at on shelf. I'm looking at what consumers are choosing and using, I'm looking to see what of my contract manufacturers-- >> Peter: Analyze key constraints. >> Bingo, so it's not about, I think what we're all going to have to learn in the internet of things is we need, again, a cloud based internet of things platform that does the analytics. >> Because we can rewire things faster. >> Exactly, you can adjust the business to new scenarios based on what you're reading from the demand side and what you're reading from the supply side. >> So you're a great foil for my second question. My second question is you look back at the history, or the recent history let's call it, of strategy, very asset based, Porter said pick the industry that has the best returns, pick your position in that industry, then choose your games based on the five factor analysis that you want to play to get to that position. Very asset oriented, we're in control, that's going to dictate how things change. What you just suggested was a very very different way of thinking about strategy. >> Same fundamentals. It's the same fundamentals but it's allowing yourself to adjust those fundamentals based on what's happening in the market place. >> Peter: But you're not going to base it on just the assets. >> No, we're not going to base it on the assets unless you've focused on, like if you're an engineering company and that's all you make is machines, you can't suddenly start producing toothpaste, for example. There are, that's why I say it's a reconfiguration of those same principles but flexible enough to meet demand. >> So how does, how does the world of design and the world of strategy start to come together in C suite? >> Fundamentally, because it's the voice of the customer that starts to count. It's the voice of the customer that dictates the strategy. So if my customers don't want green Guinness for Saint Patrick's Day, don't make any, because it's going to hang around and get thrown away, right? So, the voice of the customer determines what's happening on the demand side and the supply side has to be agile enough to meet that need. >> So, I would suggest keep Guinness the way it is because it's damn good the way it is, so personally I would agree on the Guinness comment. No green Guinness. >> So, what's the South Africa beer? >> Castle Lager. Well, SAB, South African Brewery, has been bought by Anheuser-Busch InBrev, a massive big giant. >> We love beer and if there's any beer sponsors out there, we're happy looking for our Budweiser. We want a, maybe an IPA in there. Roddy, thanks for spending the time, coming in with you, appreciate it. Some thought leadership here on Reconfiguration and looking at some of the nuances that are really going to impact the buyers here on The Cube. Oracle Open will be back with more live coverage from SiliconANGLE's The Cube after this short break.

>> Announcer: Live from San Francisco. It's the CUBE, covering Oracle Open World 2016. Brought to you by Oracle. Now here is your host, John Furrier and Peter Burris. >> Okay welcome back everyone we are here live in San Francisco for The Cube. This Silocon Angle Media's flagship program, where we go out to the events and extract the signal from the noise. I'm John Furrier, the co-CEO of Silicon Angle Media with Peter Burris, head of research for Silicon Angle Media. He's also the general manager of Wikibon Research. Check out wikibon dot com for all the latest research and cloud, big data infrastructure. And we're at Oracle OpenWorld 2016. I'm excited to have our next guest, Don Johnson, VP of engineering for product development for the Infrastructures as a Service for Oracle Cloud. Welcome to The Cube. >> Thank you. >> John: Thanks for spending the time to come on. We really appreciate it. >> My pleasure. >> And obviously Oracle's cloud last year was obviously the announcement they're marching to the cloud. A big building block in this, was Infrastructure as a Service. They had the sass. They're taking names, kicking butt in there and they're transforming. Platform as a service developing nicely this year, showed some progress. But the upgrade if you will, or reboot or reset, however you want to call it, was fundamentally to introduce the new stuff with Infrastructures as a Service, to kind of round everything off. Give us the update. What's the key new news for Infrastructure as a Service and why is it important? >> Well a couple things. Let me start with the last part of your question, why is it important. So, very broadly, I would say, There's kind of two strata of cloud. There's cloud platform and there's everything that's up above, apps, sass, etc. Cloud platform I think is a big category. It's broad spectrum but it's IaaS and Paas and then there's lots of stuff that falls inside of there. Iaas is a fundamental and foundational building block and all of the characteristics, that everything up above, relies on or requires is basically enabled by infrastructure If you want to run at massive scale, if you want network connectivity between place A and place B if you want intrinsic security, that's all things that are foundational characteristics and you either have them or you don't based on whether infrastructure IaaS gives them to you. And so, for us, for Oracle, we're a cloud platform company. This is a foundational piece, and we're investing in this very aggressively and we're driving in a very innovative direction on this. So, >> You've been at Amazon since 2005, just recently joined Oracle on the engineering side and you know, infrastructure right now we're seeing is a cost and performance game. Drive the cost down as low as possible while preserving scale and performance, real critical. And almost hardening the top if you will, creating a hardened infrastructure so that you can enable dev-ops and some coolness around agility all that good stuff above, on top of the could. So what's the key things this year that you guys filled in terms of product? What was the key innovations and, on the development side, what was the key sprint for you guys? >> Well, so what we've been announcing at IaaS is really our next generation infrastructure, which is two-fold. It is the infrastructure itself, what are data centers and networks and virtual network looks like and then it's a new suite of products that we put on top of this, bare metal cloud services. And this is the fruit of a big kind of back to basics foundational exercise where we have gone and redesigned everything from the ground up. We've done it with a focus on a bunch of core, core criteria. Core things that we wanted to, that we wanted to capture and that we wanted to do better, better than have been done in the industry to date. And I would characterize those as two-fold. First, we are bringing along, all of the best characteristics of the cloud and why the cloud is compelling and what people, use it for, Self-service, pay for to use. It's elastic; it's easy to use. It's, there's low friction. It's high-scale, etc. But there's a number of things that for our core customer-base, actually are very challenging in moving to the cloud. And when I say our core customer-base, if you have a large existing, you know, if you're an enterprise and you have a large existing infrastructure and deployment, typically on premise, you have a lot of constraints and it's difficult to actually move into this new environment and take advantage of all that it has to offer. And there are, this applies to how your applications will run there, the assumptions that they make, your security and controls. And so we've identified a number of areas that we fundamentally wanted to do better than they've been done before. Security, reliability, governance, the ability to manage, if you're a large complex organization, you have a large complex footprint and deployment in the cloud, the ability to manage it. Performance, performance is a broad spectrum. Peak performance, raw performance, predictable performance in a particular price performance. You're talking about performance and cost. And sort of an adjunct to performance is the ability to harness modern technologies because if you look at where storage is going, non-volatile RAM and technologies like Intel Crosspoint. How can you actually enable customers to get access to that and use it and harness what it offers, very, very quickly. And most, most of all really, flexibility. Sort of the choice and what I mean by that is when you're a cloud provider you, you kind of pick a, you pick a certain level at which you implement and define and build your abstractions, and then, that has consequences in what choices you actually offer. So let me be a little bit more precise about this. A core thing that we did, sort of the keys, the special sauce in any cloud platform is the virtual network. And we made a fundamental choice that the way in which we're going to do virtual networks is to pull the virtualization into the network itself where we think it belongs. >> John: So no hypervisor? >> It's not in the hypervisor. And so, what that means is first it means we're able to like the, the requirement that we have of something that we can plug into our cloud, your cloud, your virtual network is, it has an ethernet port. This means that we put, we can put anything into a virtualized network. Our whole infrastructure, you know the presentation to the customers is everything runs in a virtual overlay. It's all virtual network. But we could put any class of resource in there. We could do bare metal. We could do an engineered system. We can, honestly, we can take an arbitrary middle box from you know, any third party vendor. This lets us give our customers bare metal. Giving our customers bare metal means we can, we can take, so we provide bare metal, compute with NVME drives. They are phenomenal. There is nothing, like we're literally giving you a server in the cloud with a, you know, provision in minutes paid by the hour. And you get, in our biggest shape, you get in excess of four million 4k read-high ops. Like this is phenomenal power. So really there is nothing that stands between us, between the technology and us giving it to you. >> So that was the key design criteria, then? >> That was the key design criteria and so this you know, in terms of sort of, flexibility and preserving choice, this means, you know, principle you can bring any OS. You can bring any hypervisor. If you have some old stuff that's difficult to move, you can't break up our hypervisor. >> So you let the performance, everyone kind of speak for themselves if you will. So, the customer can put anything on this thing >> Yeah. And these are phenomenally powerful boxes. >> Okay so now, how does that compare with Amazon and Azure because the number one question I get is, and let me see if you can put some color around this. Obviously Amazon had a different thing. You guys had a clean sheet of paper and you took smaller steps, computed storage and built services and scaled up there. Azure had, kind of backed into it with their existing business and there portals and all their services and then now are moving their customers on there. So, the number one question I get is, well what's different with the IaaS on Oracle vis-à-vis AWS and Microsoft Azure. How do you answer that question? Is there a distinct difference? Is there a design philosophy? Is it? >> Well, the design philosophy for Iaas is what I was just articulating. And in essence it, it looks and acts very, very similar from the perspective of the customer, the user experience at scale. As well as, it preserves choice and flexibility and is amenable. Basically it is it is much more friendly to the large enterprise or large business that is outside of the, often times and typically, outside of the sweet spot of what an infrastructure like say Amazon was originally designed for. So as a principle, we are trying to meet our customers where they're at. From, they want to migrate over some apps and do it cautiously and maybe not change too much about them. And not see that as a constraint or an obstacle to get to all of the, all of the promise and power of, running modern applications in high-scale, highly available. >> Look in many respects, in many respects, cloud is naturally a network-centric compute model. >> Don: Yes. >> By putting more, by not putting network virtualization above the network but putting it into the network, does that also at some point in time give you greater flexibility, the option to bring even more of, >> Don: Absolutely. >> core work that's gone down into the network? So that you can actually start liberating some of the power of a real network computing model. Others can't do that right now. So if you think about it, what kinds of applications might that make possible in the future? Thinking about IOT for example, the ability to use a network model to describe how work gets allocated within a cloud of services? >> Well, I think the, the network ultimately, what you need it to do, there's a few things you need it to do. You need to very reliably and quickly move bits from place a to place b. You need it to it to have the flexibility sort of, as a topology to be able to put things in. And you need it to preserve, privacy and plugability. So the fundamental thing that I see our virtual network supporting and enabling, is basically building up a fabric of services, and letting us say, so everyone runs in a private overlay. We want to make it easy for any provider, ourselves as well as any third party provider, to inject micro-services into your, into your private network. We want to make it easy to be able to bring over traditional security controls, where, you want to, set up bastions and set up taps and be able to introspect you know, do, you know traditional IDS, IPS. So, I see network virtualization really as an enabler of, you know it's providing a fabric that lets you, that gives you great flexibility in wiring things together. I hope that answered your questions. >> So final question for you, what's next? So what's on the, what's the priorities on the to-do list for you guys as you go down, a two point five, a two point one? As they say at Microsoft, never make it an odd, an even number, make it a, you know. Two point one or two point five or three point o. What's next? >> There's a ton of things. So we're building up data centers and new geographies. We're going big. We're going to add a ton of skews. We're going to make bigger things, smaller things, adding, a ton more features really all across the board. So I don't know that I see it as there's a two point five. There's going to a rapid pace. >> So more slew of announcement >> Very similar >> Don: Yes. >> to the cadence we've been seeing at Oracle and Amazon traditionally had started that trend. Larry couldn't even finish the keynote on Sunday because the announcement stream was so large >> No we have a, you'll see a constant string of releases on a, you know, a weekly, monthly, quarterly basis. There's just a ton of stuff coming. We have a ton of features to add. We have a ton of interesting new services to add. >> So the pace is fast. You're running hard? >> Don: The pace is very fast. >> Well, congratulations and looking forward to following you guys and your success. Love the agile mindset. Love to see that cadence of shipping stuff, moving really, really fast and appreciate, >> Alright. >> you spending the time. >> Don: Thank you very much. >> Sharing your insights. The Cube live here at OpenWorld. You're watching The Cube. Back with more live coverage here in San Francisco after this short break. (softly intense techno music)

(upbeat synth music) >> Narrator: Live from San Francisco, it's The Cube, covering Oracle OpenWorld 2016. Brought to you by Oracle. Now, here's your hosts John Furrier and Peter Burris. >> Hey, welcome back, everyone. We are here live in San Francisco for Oracle Open World 2016. This is SilconANGLE Media. It's The Cube, our flagship program, where we go out to the events and extract the signal from the noise. I'm John Furrier, the co-CEO of SiliconANGLE Media, joined by my co-host this week, Peter Burris, head of research at SiliconANGLE Media as well as the General Manager of Wikibon Research. Our next guest is Hari Sankar, who's the group Vice President of Enterprise Performance. Welcome to The Cube. >> Thank you. >> Thanks for joining us today. So, one of the things that you're in is performance management but in a different way, kind of a CFO perspective. >> Hari: That's right. >> Which this show is all about, ROI, total cost of ownership. But Oracle has a lot of software, finance software. First, take a step back and spend a minute to describe what is performance management and your role at Oracle. >> So traditionally, performance management is really about how finance sort of manages the overall business performance of a company. It's about things like forward-looking things like planning, forecasting, and budgeting. It's about, sort of, backward-looking things like okay, our quarter is done, how do we close the books and how do we report the numbers both internally, for management recording purposes, and externally, to the street and various stakeholders. So there is the compliance side to it. There is a strategy side to it, and these things have been traditionally what is performance management. What we are seeing now is that kind of discipline is now going beyond finance into operating lines of businesses, sales and marketing and manufacturing and so on. >> The, the-- >> One of the things, sorry, John, I think one of the things that is really interesting, especially in light of this show, is as we go through a process of digital transformation, where data becomes one of the most important assets in the business, that means that the asset specificity, to use a finance term, the degree to which an asset has only one use, starts to go down because you can program it. So marketing, sales, all the assets, intellectual property, data-oriented, that they've been developing over the years now can be bought under the umbrella of Enterprise Performance Management. >> That is absolutely true. That is absolutely-- >> So how is that happening? >> So part of how this is happening is let's say you are a marketing organization. You are spending $50 million on digital marketing. Now, there is a desire from the part of the marketing department to sort of manage that spend more diligently with more discipline and drither, just like finance manages any other line item in the budget. There's more desire to provide transparency to the business, in terms of here's where we are spending it and here's where we are getting returns, here's where we are perhaps not getting returns. So that is the planning part of it, and then there is also the reporting part of it, where we are seeing the emergence of the concept of narrative reporting, where you are saying hey, look, I'm not just going to distribute numbers and charts to my stakeholders, whether it's inside the company or outside, I'm going to give them context, I'm going to give them commentary on these numbers. If there is a variance, I'm going to tell them why is this there. Do I expect this variance to be there next quarter? What am I doing about it? So, it sort of brings those numbers to life and avoids that back and forth that typically happens. >> How much is the Performance Management moving out of the CFO function, and I want to get your take on how the costs in IT is becoming not just a functional shared resource but IT is now integrated across the whole company. Mark Hurd had tweeted yesterday on Twitter, "As more CEOs and CFOs understand "the potential of the cloud, "CIOs are going to get a lot more help," implying Oracle is going to help them. But it brings up the point that the CIO now is brought into the CFO conversation, they always have in facilities and what not, but now from a business perspective their contribution is significant and now co-mingled is it. Do you see that trend happening and what does that mean for the software side of it? >> We're definitely seeing that trend happening. For example, the most important new term to come out in finance in some time is the notion of digital finance. >> John: The notion of what? >> Digital finance, right? So this is really about whether you call it digitalization or not, digital finance, digital marketing, digital sales. So this digital business idea sort of elevates this role of the CIO because, as you said, data becomes a very, very important asset in terms of how you fundamentally drive innovation in your business, and so that digital notion is sort of elevating the role of the CIO. And in the context of Performance Management, as you see this spread beyond finance into other lines of businesses, other lines of businesses are starting to be more disciplined and rigorous in how they sort of measure their performance, how they manage their performance. There's also a need to connect the dots across. You know, if I'm doing a marketing plan, which is an important element of my overall spend, if there is a fluctuation or change, a big change in my marketing spend, that needs to be reflected back in the finance budget. So connecting the dots and aligning the plans across different functions is becoming a big priority as well. So you're seeing a lot of important changes happening. >> You just said a few things that's just gotten me standing up and getting all excited. Peter and I looked at each other, digital business, digital assets, digitizing your business, these are the mega-- >> Data value. >> Data value, this comes back down to what we've been talking about all week here on The Cube and for the past year. This is now what was once a come together, have a meeting, share, cross-pollinate, somewhat automated but in the end manual, to fully integrated. This is probably the biggest business problem in digital transformation right now. How come we're not hearing more? This is a-- >> Yeah, I think that's a great point, John. At the end of the day and what we've been talking about is that so this is is a little bit of SiliconANGLE Media, Wikibon, we believe that digital business, full-stop, is how you use data to differentially create sustained customers. >> Absolutely. >> That is digital business. You can say all kinds of new channels and all this other stuff, but it all boils down to are you using data as an asset better than your competitors? >> Yep. >> So that as a basis, two things. First off, interesting that Mark Hurd, we talked about it earlier, this is a quick aside, Mark Hurd talking about how CIOs are going to get more help. Remember when we talked about how Oracle's going to have to bring a lot of the IT group forward in its new transformation. >> This is it right here. >> Absolutely, but I'm going to throw you a little bit of a curve ball. I hope I'm not going to throw you a curve ball but its a very, very important point. As the IT organization, or as increasingly, the methods that we use to create digital assets, and increasingly also products, they're iterative, they're empirical, they're opportunistic, they're agile. That the traditional, year-long budget that says you have a certain money to spend, and you spend it or it goes away and you better not fail with this money, comes under attack by Agile, and I know a lot of CIOs that I talk to are trying to reconcile the impedance mismatch between Agile and Sprints, and being opportunistic and recognizing when something isn't working, and the CFO who's still talking about annualized releases of money. So I've always felt that you could not reconcile those. You could not bring those two points of view forward without EPM. Are you seeing that as well and how are you helping it? >> Yeah, we're definitely seeing this because this older, you're absolutely right. The old notion of let's make a budget once a year, get it right, and execute on it for the rest of the year, we are seeing that seeing that fading really fast. What people are saying is, look, plans are made only to be changed. Let's not fixate on getting the perfect plan in place. Let's start with a reasonable plan with the assumption that it's going to tweak and iterate and change many, many times over the year. So the focus is now on, less on getting it right the first time, more on how do we make dynamic changes to it in an agile fashion, just to your point. >> And reflect those changes throughout the entire cost-- >> And into finances-- >> Back into finance. >> It all comes back to finance. >> It comes back to finance because at the end of the day, let's say, take a simple example of a manufacturing company-- >> Paul: Finance is the language of business. It still is. >> End of the day, your business performance is measured in dollars and cents. I mean, period, right? So, let's say, your product mix changes because your customer demand is changing. That needs to be reflected back into finance, in terms of, okay, are we making more money or less money? Is it more revenue or less revenue? That needs to be reflected back, and so we're definitely seeing, in fact, the tagline for Enterprise Performance Management that we use these days is enabling business agility. So two parts to that, driving agile decisions, to your point, the second is, once you drive those agile decisions. Let's say I decided to expand into a new business and I did an acquisition. Fast forward six months, you need to reflect the results of that combined entity into your financial results, do it quickly, do it in a way that is correct and you're confident about the results and that's the job of finance. So it's agility of operations, agility in decision making, those two have to sort of come together. >> So here's my question then. I love this conversation because I think this speaks to the full-closed loop of Cloud and DevOps and the innovation around Agile. How much flexibility is built into the software, and I'm kind of going with the database route for a second, systems of records, schemas in database 'cause business plans can say it once a year and it's failing, I agree, I can see that failing. But, also, fixed schemas, can fail too. Well, I don't want to add the new data in 'cause the database can't handle it. I've heard that from developers before. Again, it slows the things down, so as you move from systems of record, which can be fixed and tweaked, the engagement data is the business engagement gestures. So how is that factoring into your software? You guys see that and is this AI Bot revolution and the machine learning, the smart software after engagement. Can you thread that through and explain how that fits? >> Let's start simple and sort of get a little more sophisticated quickly. The first things is we are seeing a lot more people come into the planning process than before. The old model was finance did the planning for other people. Now, people are doing their own plans, then sort of feeding it into the overall plan. People intentionally are pushing that because they want plans and decisions to be made closer to the point of action. Secondly, there is a greatest emphasis on driving fact-based decisions. For instance, we are working with some large consumer goods companies where they are saying, look, don't come here and tell me that I'm going to spend 10% less on this large line item compared to last year, Throw the last year's budget out and do a zero-based budget. I mean, zero-based budgeting is not a new concept. It's been around, but it's getting a new lease of life because in industries where profits are on the squeeze, they are saying "Look, I don't want "to do the traditional budgeting. "I want to go to a zero-based budget." >> Because they get facts that are surfacing faster. Is that kind of the premise? >> Facts, but more over to the performance of the business. >> That is definitely true. The facts that are surfacing faster, and, therefore, I want to give the tools to make use of those facts to the people who are closer to where they are surfacing. >> John: This is a digitized business in that scenario. >> Definitely true. >> Everything's instrumented. >> Good value. >> Hari: Yeah, definitely true. >> We always say on The Cube, I mean, this is the first time in the history of business in the world that you can actually measure everything. >> That is absolutely true. >> If you want to measure everything, you actually can do it. >> That is absolutely true. >> Now the CFO, which was once the measurement system, has to get integrated in. Am I getting this right? >> You are getting this right. You are getting this right. And the other part of your question is about okay, how is intelligence coming into, so some of these decisions over time, if you see a pattern, they can be perhaps automated. Plan adjustments can be, maybe some elements of plan adjustments can be automated, but I don't see finance going that far. That may be taken as an input. Maybe a recommendation comes from automated intelligence, and people will sort of take a look at it and say, "Hey, I want to go with this because it makes sense, "or I'm going to override it this way "because this doesn't take into account "what I'm planning for in the next quarter." >> Yeah, what scares me, though, in the whole bot thing, I mean, this is not a dis on Larik, I love the vision, it's got me all excited, is if they try to get too AI before they actually build the building blocks, they really can get ahead of themselves. So, you can see that head room, for sure, but a lot of companies are kind of in that planing mode. Is that true? What's this progress bar of customers right now who are into this, are in the software? I mean, track bots are great for certain things, but you can't really automate AI yet and everything. Or can you? >> I think there is probably a class of decisions that can be automated, but when it comes to finance, and finance tends to be conservative and for good reason, they definitely see the value of recommendations based on data, based on real-time data, but they still want to have the controls. >> [John} Got It. >> So that's kind of the mindset that we have seen. >> So real options valuations could really, really be helped by AI. But at the end of the day, you have to be able to close the books, and you don't need AI to help you close the books. >> This is a fascinating conversation. >> If I can add one quick conversation, just a quick point, as Enterprise Performance Management starts to weave its way into other parts of the business, institutionally, does that mean we're going to see controllers start to end up in different functions? >> Hari: (laughs) IOD of controllers? >> As a human interface that goes along with the system so that it works together. >> It's a definite possibility, right? Because if you're planning as rigorously in marketing as in finance and if you aremeasuring and reporting as rigorously in sales as you're doing in finance, maybe there's a sales controller function that becomes a legitimate need. But at the end of the day, today, you focus so much attention on reporting your numbers to the street. You focus attention on precision and accuracy and confidence in all of that. Why is that not a requirement for internal Reporting? >> It's the same argument when we talk about the technology of a structure. You move the computer to where the data is. You could move the controller where the action is, to your point earlier. It's a fascinating conversation, Hari. Thanks for sharing the insight. Love to do a follow-up on this because I think this really connects the language of business and kind of validates the digital fabric of digitization. But quick, I want to give you the last minute to give an update on the business, how you guys are doing. This is a pretty big deal. How's your business results, what's down the roadmap, what's the sales going to be like next month? I'm only kidding, I know. (all laugh) >> Sure, sure. I think the cloud has been a really game changer in this business. What the cloud has done has lowered the bar where we're seeing many mid-sized businesses start using Performance Management best practices, just like larger companies. We are seeing divisions or functions inside of larger businesses using Performance Management software for the first time. So there's a big market expansion, and we are seeing an expansion across other lines of businesses outside of finance. We are certainly seeing that. We are seeing that, you know, we introduced our first Cloud software in Enterprise Performance Management about two and a half years ago. At that time, we were not sure how the market update was going to be because we said finance tends to be conservative. Are they going to be comfortable doing their aggregated planning in the cloud, or are they going to be comfortable doing, reporting things in the cloud? We've been sort of pleasantly surprised by the willingness of finance, helped in part by the success the companies have had in deploying HR software in the cloud or CRM software in the cloud and so on. So the cloud has taken off. We have well north of 1,000 customers that have picked up EPM software in the cloud. We are very happy to see 100, 150 deployments go live every quarter, and we are seeing use cases in marketing, we are seeing use cases in HR of strategic workforce planning or marketing spend planning happened using EPM-style software. So, happy to see mid-sized businesses see real value from planning. >> John: Good integration capabilities? >> Good integration, I'm glad you mentioned it. Very good integration back into, for example, if you have financials in the cloud and EPM in the cloud, there are nice linkages between the two. So four teams are very important to us. We are seeing pervasive use of EPM software. We are seeing agile operations helped by EPM software in the cloud. We are seeing connected operations, whether it's the backbone systems or across functions. And we are seeing people take a sort of a comprehensive view of this, whether it's across functions or across processes. >> This is fascinating. We could go another hour. This is a really interesting topic because I think it really highlights a fact that, what we always say in The Cube is, you can provision technology faster and you get time to value certainly as the customers start to be creative and implement it. They get to actually put it to work and get the data around and behind. So thanks so much for spending the time on the insights on the EPM. We appreciate it, thank you so much. >> Thank you, I enjoyed the conversation. >> Okay, you're watching The Cube, live coverage here in San Francisco at Oracle OpenWorld 2016. I'm John Ferrier with Peter Burris. Thanks for watching. (upbeat synth music)

>> Narrator: Live, from San Francisco. It's the CUBE. Covering Oracle Open World 2016. Brought to you by Oracle. Now, here's your host: John Furrier and Peter Burris. (Music) (Background Noise) >> Okay, welcome back everyone. We are here, live at Oracle OpenWorld 2016. This is SiliconANGLE Media, it's The CUBE. Our flagship program, we go out to the events and extract the signal from the noise. I'm John Furrier, the co-CEO of SiliconANGLE, with Peter Burris, head of research for SiliconANGLE Media, as well as General Manager of Wikibon Research. Our next guest, I'm excited to have him back because he's a product guy and we love to go deep into the products. CUBE alumni, Juan Loaiza Senior Vice President of Database Technologies, veteran of Oracle, welcome back to The CUBE. Great to see you. >> Thanks, great to be here. >> Love talking to the product guys on the development side because we get to go deep into the road map. And we're going to try to get as much information out of you as possible. But you'll do your best to hold back, like you did last year. Only kidding. >> I know. (laughter) >> Okay no. >> You must have me confused with somebody else. (laughter) >> Maybe that was Larry Ellison, well he hasn't been on yet. Larry, we'll get you on. >> He's not so good at holding back either. (laughter) >> That's why we don't let him on. That's why they won't let him on, I think. That's, Larry would be too comfortable in The CUBE. No, in all seriousness, joking aside, the hottest areas right now is in your wheel house. Engineered systems, which is going to be a real enabler for Oracle on the performance side. And as you make your own chips, ZF SPARC and Exodeum All this other cool stuff is going to go faster, faster, faster, lower cost, higher performance. The database... >> Better security. Better availability. >> Security, I mean. Amazing stuff. But the database is where the crown jewel is for Oracle, always has been. Before you put Web Logic on it, make it sticky. But now you've got the cloud. The cloud is a environment for great opportunity for the database, business and other databases, some Oracle, some not Oracle. What's going on with the database and the Cloud? Can you take a minute to explain the current situation? >> Yeah, so that's a big question. (laughter) What's going on? So what do you want to start with database or do you want to start out with the Cloud? >> John: Let's start with the database. What's going on with the database? And what does that mean for customers as it moves to the cloud? >> Yeah. So, database we're in the process of releasing our next big database. We don't release databases very often. It only really happens every few years. It's a very big deal. So, what we're trying to do with our next generation database is modernize the whole infrastructure, adjust to a lot of the big transformations that are happening in the marketplace. So among those are things like big data. Where do we go with big data? So, with our new generation database we're making big database and database work seamlessly together. So we have something called big data SOQL, where we can query data regardless of whether it's in Hadoop, NoSQL, Oracle. It's completely transparent. So customers no longer have these silos of information. Another big thing in database is datatype search engine. So new generation wanted JSON, it's called JSON, which is a new data format, so it's used in javascripts. So web developers develop in javascript. They represent data in JSON. And then they say, hey. I don't want to take my JSON data and convert it to relational data. It's a big pain. >> John: True. So, one of the things we've done in our new generation 12-step database was say, hey. Take that JSON, we'll put that directly into the database. We'll allow it to be queried. We'll make it highly available >> John: Without a schema. Without any kind of a schema, >> Nothing. >> just throw it in there unstructured. >> Juan: Just throw it in there. That's right. So we've made it very simple for new-age developers to use JSON with databases. That's another really big thing that's happening. >> So tell us what, just let's double down on that for a second. JSON has been a big trend in API based systems, lot of abilities in JSON endpoints. For user experience, whether it's mobile or web, very prevalent now. Pretty much standard. >> Juan: Yes. >> How does that get rendered itself from a customer's perspective? Are you saying that Oracle will just onboard it into the database itself? Or is it a separate product? Or is it, I mean... >> - [Juan] Directly into the data. So we have native JSON directly into the data. We've essentially added JSON as a datatype. We've added the sequel, we have SOQL extensions. You can access JSON like an index... >> John: So, I can run in single queries on JSON? >> You can, exactly right. You can very simply run SOQL queries on JSON. >> And what's the impact to the customer? >> Juan: And all the stuff that comes with that. >> John: And what does that solve? What problem does that solve? >> It solves two problems. One is, people like that datatype. So new-age developers, they're writing in javascript. They have JSON and they just want to use it. So they don't have to convert it. >> John: Which by the way, everyone's running in javascripts. >> Right, that's right. That's the big programming language. And the other thing is unstructured data. So, data that's not structured initially, that every piece of data has its own structure. So it's a representation for saying, that dynamic, unstructured representation that's very standard in the industry. A little bit like XML used to be before. JSON is kind of the new XML, the new-age XML. >> John: Yeah, that's true. How about the data lay concept? Because Hadoop as a market, just didn't make it, right? I mean, it's out, Hadoop is out there >> Juan: Yes. SPARC is certainly relevant because you have, you know, that kind of use space and memory and faster processing. But the real power is that that a batch oriented data set. As things like Hadoop and SPARC evolve, how does that relate to Oracle's product road map? >> Juan: Yeah, so we have our own Hadoop big data plans, where we run a cloudera-based Hadoop product and what we're trying to do is make those work seamlessly with existing databases. So there's certain kinds of workload and applications that hadoop is really good for. You know, kind of a frivolous example is if you want to find cats in pictures, you're not going to do that with an Oracle database. So you know, here's a billion pictures. Find all the pictures that contain cats. Not a good application for Oracle, right? On the other hand, if you're running analytic queries against relational data that's perfect for Oracle. So we see that these technologies can coexist. So there's certain kinds of applications that are really good for that dual kind of work. Or that certain kind of applications are really good for relational. And what we need to do is make sure that these things run seamlessly. >> John: What's the glue between those two layers? >> Peter: Well that's just it, there's even more applications where they're going to want to use both. >> That's right. That's right. We can't, >> So, what's the glue? >> Eventually everyone goes to both, right? >> Peter: Yeah, so what's the glue? What is that glue? >> Well, there's a number of glues that we built. Which is, one is called big data SOQL. It lets you query seamlessly across them. We also have connectors that let you move data seamlessly between them. So, those are kind of the main glues between them. >> So one of the things that we've observed is that, to John's point, there's been a lot more downloads of hadoop than we've seen go into production. It's become a very, very complex ecosystem and it's got some limitations, batch-oriented, et cetera. The challenge that businesses have is that they try to run pilots around hadoop, because they find themselves piloting the hardware, hadoop, the clusters, all the way up to the use case. And a lot of times they end up failing. How does something like the big data pliers facilitate piloting? Because it looks like it should reduce the complexity of the infrastructure and give people the opportunity to spend more time on the use case. >> I mean, you've got it exactly right. Which is, you know, there's some people that are hobbyists. Right, like there's people that want to build their own log cabins. They want to cut their own trees, kind of build their own planks and put together their log cabin. And that's kind of how hadoop started. It was kind of a hobbyist model, right? And hadoop has kind of moved to the next level. Now, it's people that want to get stuff done. And it's like, I don't want to chop trees. You know, I want to be living in a, just give me a house. >> John: Well actually, I wouldn't say hobbyist. I mean Yahoo had a need, they needed log cabins. >> Right. >> So they built one. You know, but it was a use case. The web scaler guys needed an unstructured... >> Right. >> It has to be scalable. >> But a lot of people are very much, kind of thinking build your own. So now a lot of people want a solution. They're like, you know, I don't want to be building this. So that's where big data plans come in. Because it's a complete solution. It includes the hardware, it's been pre-tubed, pre-optimized. It includes the cloudera software. It includes all our connectors and it includes support for the whole thing. Because that's the other part. You know when you put together your own house, who are you going to call when it leaks? Right? You're on your own when it leaks. If Oracle puts it together, we can support the entire staff when you have any kind of issue, any kind of problem. And that's the kind of stuff enterprises want. It's not a hobby anymore once it becomes an enterprise >> Peter: So given that we're in a big data universe right now, where we've got use case that are proliferating very fast and we have limited experience about them. But the technologies underlying that we're deploying to build those use cases are also proliferating very fast. Is it going to be possible for the open source model that presumes downloads, try buy, not sales people, not a lot of learning, not a lot of hand-holding to make it possible to fix that whole thing or make it all come together? Or is a company like Oracle going to have to step in and take some responsibility for guiding how the market evolves? >> Yes, so open source and Oracle can work together. I mean, we have Lennox distributions. We own MYSOQL. So Oracle and Open Source is... >> Peter: You're not at odds. >> That's right. We, in fact, are one of the major Open Source companies in the world. But you know, like I said, real businesses are in it as a hobby. They want a solution. They're looking at this as a tool. And a lot of times they want somebody that can support it, that can physically assure that it's going to work for them. And they have someone they can call. It's not just hey, I'm going to post a message on a message board and hope that somebody responds. Right? I mean when you have, you know, airplanes in the air. when you have, you know, dollars flying across the network. You need a solution. You need somebody you can call and you can guarantee is going to solve the problem. And also that can ensure that the technology moves in the right direction, takes into account what users want. And that, you know, a certain level of quality and assurance is built into it. >> Peter: So let's build on that. When you look at the future of database, what do you see? >> Juan: Well, there's a lot of different, so database is in a very big change. There's some big changes happening in the database world right now. More than probably ever before. One that we've been kind of talking about is sort of this big data hadoop. Another thing is JSON. Another area is in-memory is a very big change that is happening in databases. The whole moving into in-memory, into these different kinds of formats. Along with that, Oracle is pioneering moving database algorithms directly into the chips. The chip technology, to make it run dramatically faster, to make it more available, make it more secure. That's another big thing. Building multitenancy directly into the database, that's another big area that Oracle is pioneering. Instead of having it, kind of cloudify the database directly, negatively inside the database. Another big area that we've been working on is putting native sharding of databases directly into the database. >> How about data protection? >> Well that's in the multitenancy, right? Take me through the multitenancy a little bit. How does multitenancy inside the database going to work? >> Well, okay. So that's what we call our multitenant database. It's a little bit like VM. So, Vms say, hey it looks like I have a physical machine. But in fact I have a fraction of a machine. It looks like, it looks to me like a physical machine. In fact, it's a virtual machine. >> Peter: Okay. >> We're doing the same kind of thing with the database. So it looks like I have a physical database to the application. But in fact, you're sharing a database among many users. So what is the advantage of that? The advantage of that is we don't have one database. Or thousands of databases anymore. So many of our customers have deployed thousands of databases. It becomes a huge maintenance headache to have thousands of databases. Especially in today's security world where you have to constantly patch and update these things. You can't just kind of leave them alone anymore. So if you have a small number of physical databases and lots of virtual databases it completely saves costs. It's more agile. Opex lower. Capex lower. That's the new world of multitenant cloud data. >> John: Also it's brand new with appliances. And I want to get your thoughts on last year the big range that I liked was this zero data loss >> Recovery plan, yes >> ZDLRA. >> Juan: That's right. You got it right. >> What's the, I mean very fascinating, basically zero data loss. >> Peter: It's cool technology. >> Juan: Yes. So what is, is that still on the, out there? What's going on with that? >> Zero data loss and recovery parts is our fastest growing appliance right now. >> John: It is? >> Yes. Easily. It's been very well received by the market. We have some of the biggest banks now, running it. Financial institutions, retailers. Why? Because its a very simple value proposition. Which is, hey I want to protect my data in a way that it's constantly protected that I don't lose any data. In a way that is scalable. In a way that offloads my production database. It's a very simple... >> That's a grace saving situation, right? So like the people that have these security breaches, is this where that fits? Where's the use case for ZDLRA? >> ZDLRA is not security, it's about availability. >> John: Okay, so if someone basically shuts the data center down. >> Right. If that database becomes corrupted... >> John: In one region. >> If there's some natural disaster. If there's a bomb. If there's a whatever. Is my data protected? Will I lose anything? Nobody can afford to lose data anymore. In the old days, when you did a backup, you did a nightly backup and then if something happened, then you'd restore it. Well guess what? That doesn't work anymore. We're too dependent. So, nobody wants to lose their airline records. Nobody wants to lose their bank records. Nobody wants to lose their retail records. We can't afford to lose data anymore. We need a solution that's zero data loss. >> I'm surprised aren't, there's not more fanfare at the show about that. I was really impressed last year I'm glad to hear it's doing well. Containers. Database containers. >> Juan: Yes. This is something that we talked about a little bit last time. >> Juan: That's the same as multitenants. >> Okay. That's multitenancy. >> Juan: It's different terminology for that. >> okay, now cloud based databases. Now we get to the cloud. Where does all this go to the cloud. >> Okay, so you know traditionally customers deployed on premeses. what we're doing now is we're taking the Oracle database that we've developed the last 40 years. It's the most sophisticated database in the world. And we're moving it onto the cloud. So what does the customer get? They get, they can provision it instantly. So you go onto our website and say I want a database. Here's the size. Here's the number of CPUs I want. Boom. They get it. They pay monthly instead of paying upfront. They don't pay for the licenses. They just pay us a monthly fee. And then Oracle operates the whole thing. It's like, I don't want manage it. I just want to use it. So that's the benefit of the cloud. I go somewhere. I need a database. I get it right away. I don't have to mess with it. And I pay monthly. >> John: So the Oracle, on your Oracle cloud you would then deploy all those other goodness, ZDLRA, all the other technology >> Juan: All that stuff, yes. (crosstalk) behind the curtain, so to speak. >> Juan: So we have a range of offerings in our cloud. So we have a regular database service. We have an enterprise service. And then we have a high end service, an exit data cloud service, right? >> That runs our exit data. Super fast, super available. And then we have something called exit data express, which is the lowest cost cloud database in the world. So we have kind of three things, depending on what the customer wants. They want a smaller database for really low cost. They want a super mission critical, high performance database or they kind of want something in the middle. So we span the whole range. And, by the way, our high end is higher than anybody else. Our low end is lower cost than anybody else. So we span a bigger range than anyone else. >> You know Juan, next year we need to get an hour with you. >> Juan: Yes. >> To cover all the... >> Juan: It's a lot of topics. >> No. You're a great guest. And you have a lot of experience and a lot of, and we appreciate the insight. I'll give you the final word, I want to get one more answer out of you because you're awesome. You're sharing great insight. For the folks watching, what's the one thing or one or two, three things they should know about Oracle, Cloud, the technology, the database? The things going on at Oracle that they may not be hearing about it could be the best selling things. Something that's not on the main stream press reporting. >> Well, you know our Oracle cloud is pretty simple. I mean, the main thing to understand is that it's 100% compatible with databases on premises. So it's very easy to move workloads back and forth. That's the main thing. And the other thing is, we are, we use the exact same infrastructure. So we've been developing, for example, our exit data product, which is kind of the precursor to cloud. It's a very specialized database system run on premises. And now we're running that in the cloud. So again, the customer can get the exact same thing. And our latest offering is cloud at customer. So we take those same cloud attributes and we can put them >> John: It's the cloud machine, right? >> inside the customer database. >> Juan: Yeah, so we have a cloud machine, an exelated cloud machine, and a big data cloud machine. >> John: So customers get all the choices of Oracle. >> That's right. So the customer has full choice, they can move to the cloud if and when they want at the speed they want. They can move back and forth. They can do disaster recovery in the cloud. They can do backup in the cloud. They can do development in the cloud. So all these range of offerings, all these range of choices are now the customers. >> So true or false? Larry Ellison is the master at the long game? >> Juan: Larry thinks long term, absolutely. >> John: Of course, true. >> Yes, absolutely. He's brilliant and he's shown it over and over again. >> I agree, big fan. Yesterday's key note, Larry could've done better. But he was too busy getting all those announcements out that he was mailing in at the end. It was so many announcements. >> Juan: It's hard these days because Oracle, there's so much happening at Oracle. There's so much happening at Oracle. Juan, Thanks so much for spending your valuable time with us at the CUBE, we really appreciate it. This is SiliconANGLE Media's The CUBE. We go out to the events I'm John Furrier, Juan Loaiza Senior Vice President Juan Laoiza, Senior Vice President of Database Platform Services. Live in San Francisco. We'll be right back. (Music)