>>Hey guys and girls, welcome back to The Cube's Live coverage of AWS Reinvent 22 from Sin City. We've been here, this is our third day of coverage. We started Monday night first. Full day of the show was yesterday. Big news yesterday. Big news. Today we're hearing north of 50,000 people, and I'm hearing hundreds of thousands online. We've been having great conversations with AWS folks in the ecosystem, AWS customers, partners, ISVs, you name it. We're pleased to welcome back one of our alumni to the program, talking about partner ecosystem. Dominic Rav Vida joins us, the VP of Developer relations at single store. It's so great to have you on the program. Dominic. Thanks for coming. >>Thanks. Great. Great to see you >>Again. Great to see you too. We go way back. >>We do, yeah. >>So let's talk about reinvent 22. This is the 11th reinvent. Yeah. What are some of the things that you've heard this week that are exciting that are newsworthy from single stores perspective? >>I think in particular what we heard AWS announce on the zero ETL between Aurora and Redshift, I think it's, it's significant in that AWS has provided lots of services for building blocks for applications for a long time. And that's a great amount of flexibility for developers. But there are cases where, you know, it's a common thing to need to move data from transactional systems to analytics systems and making that easy with zero etl, I think it's a significant thing and in general we see in the market and especially in the data management market in the cloud, a unification of different types of workloads. So I think that's a step in the right direction for aws. And I think for the market as a whole, why it's significant for single store is, that's our specialty in particular, is to unify transactions and analytics for realtime applications and analytics. When you've got customer facing analytic applications and you need low latency data from realtime streaming data sources and you've gotta crunch and compute that. Those are diverse types of workloads over document transactional workloads as well as, you know, analytical workloads of various shapes and the data types could be diverse from geospatial time series. And then you've gotta serve that because we're all living in this digital service first world and you need that relevant, consistent, fresh data. And so that unification is what we think is like the big thing in data right >>Now. So validation for single store, >>It does feel like that. I mean, I'd say in the recent like six months, you've seen announcements from Google with Alloy db basically adding the complement to their workload types. You see it with Snowflake adding the complement to their traditional analytical workload site. You see it with Mongo and others. And yeah, we do feel it was validation cuz at single store we completed the functionality for what we call universal storage, which is, is the industry's first third type of storage after row store and column store, single store dbs, universal storage, unifies those. So on a single copy of data you can form these diverse workloads. And that was completed three years ago. So we sort of see like, you know, we're onto something >>Here. Welcome to the game guys. >>That's right. >>What's the value in that universal storage for customers, whether it's a healthcare organization, a financial institution, what's the value in it in those business outcomes that you guys are really helping to fuel? >>I think in short, if there were like a, a bumper sticker for that message, it's like, are you ready for the next interaction? The next interaction with your customer, the next interaction with your supply chain partner, the next interaction with your internal stakeholders, your operational managers being ready for that interaction means you've gotta have the historical data at the ready, accessible, efficiently accessible, and and, and queryable along with the most recent fresh data. And that's the context that's expected and be able to serve that instantaneously. So being ready for that next interaction is what single store helps companies do. >>Talk about single store helping customers. You know, every company these days has to be a data company. I always think, whether it's my grocery store that has all my information and helps keep me fed or a gas station or a car dealer or my bank. And we've also here, one of the things that John Furrier got to do, and he does this every year before aws, he gets to sit down with the CEO and gets really kind of a preview of what's gonna happen at at the show, right? And Adams Lisky said to him some interesting very poignant things. One is that that data, we talk about data democratization, but he says the role of the data analyst is gonna go away. Or that maybe that term in, in that every person within an organization, whether you're marketing, sales, ops, finance, is going to be analyzing data for their jobs to become data driven. Right? How does single store help customers really become data companies, especially powering data intensive apps like I know you do. >>Yeah, that's, there's a lot of talk about that and, and I think there's a lot of work that's been done with companies to make that easier to analyze data in all these different job functions. While we do that, it's not really our starting point because, and our starting point is like operationalizing that analytics as part of the business. So you can think of it in terms of database terms. Like is it batch analysis? Batch analytics after the fact, what happened last week? What happened last month? That's a lot of what those data teams are doing and those analysts are doing. What single store focuses more is in putting those insights into action for the business operations, which typically is more on the application side, it's the API side, you might call it a data product. If you're monetizing your data and you're transacting with that providing as an api, or you're delivering it as software as a service, and you're providing an end-to-end function for, you know, our marketing marketer, then we help power those kinds of real time data applications that have the interactivity and have that customer touchpoint or that partner touchpoint. So you can say we sort of, we put the data in action in that way. >>And that's the most, one of the most important things is putting data in action. If it's, it can be gold, it can be whatever you wanna call it, but if you can't actually put it into action, act on insights in real time, right? The value goes way down or there's liability, >>Right? And I think you have to do that with privacy in mind as well, right? And so you have to take control of that data and use it for your business strategy And the way that you can do that, there's technology like single store makes that possible in ways that weren't possible before. And I'll give you an example. So we have a, a customer named Fathom Analytics. They provide web analytics for marketers, right? So if you're in marketing, you understand this use case. Any demand gen marketer knows that they want to see what the traffic that hits their site is. What are the page views, what are the click streams, what are the sequences? Have these visitors to my website hit certain goals? So the big name in that for years of course has been Google Analytics and that's a free service. And you interact with that and you can see how your website's performing. >>So what Fathom does is a privacy first alternative to Google Analytics. And when you think about, well, how is that possible that they, and as a paid service, it's as software, as a service, how, first of all, how can you keep up with that real time deluge of clickstream data at the rate that Google Analytics can do it? That's the technical problem. But also at the data layer, how could you keep up with Google has, you know, in terms of databases And Fathom's answer to that is to use single store. Their, their prior architecture had four different types of database technologies under the hood. They were using Redis to have fast read time cash. They were using MySEQ database as the application database they were using. They were looking at last search to do full tech search. And they were using DynamoDB as part of a another kind of fast look up fast cash. They replaced all four of those with single store. And, and again, what they're doing is like sort of battling defacto giant in Google Analytics and having a great success at doing that for posting tens of thousands of websites. Some big names that you've heard of as well. >>I can imagine that's a big reduction from four to one, four x reduction in databases. The complexities that go away, the simplification that happens, I can imagine is quite huge for them. >>And we've done a study, an independent study with Giga Home Research. We published this back in June looking at total cost of ownership with benchmarks and the relevant benchmarks for transactions and analytics and databases are tpcc for transactions, TPC H for analytics, TPC DS for analytics. And we did a TCO study using those benchmark datas on a combination of transactional and analytical databases together and saw some pretty big improvements. 60% improvement over Myse Snowflake, for >>Instance. Awesome. Big business outcomes. We only have a few seconds left, so you've already given me a bumper sticker. Yeah. And I know I live in Silicon Valley, I've seen those billboards. I know single store has done some cheeky billboard marketing campaigns. But if you had a new billboard to create from your perspective about single store, what does it say? >>I, I think it's that, are you, are you ready for the next interaction? Because business is won and lost in every moment, in every location, in every digital moment passing by. And if you're not ready to, to interact and transact rather your systems on your behalf, then you're behind the curve. It's easy to be displaced people swipe left and pick your competitor. So I think that's the next bumper sticker. I may, I would say our, my favorite billboard so far of what we've run is cover your SaaS, which is what is how, what is the data layer to, to manage the next level of SaaS applications, the next generation. And we think single store is a big part >>Of that. Cover your SaaS. Love it. Dominic, thank you so much for joining me, giving us an update on single store from your perspective, what's going on there, kind of really where you are in the market. We appreciate that. We'll have to >>Have you back. Thank you. Glad to >>Be here. All right. For Dominic rta, I'm Lisa Martin. You're watching The Cube, the leader in live, emerging and enterprise tech coverage.

(digital music) >> And we're back live in New York. It's theCUBE. It's not SNL, it's better than SNL. Lisa Martin and John Furrier here with about 10,000 to 12,000 folks. (John chuckles) There is a ton of energy here. There's a ton of interest in what's going on. But one of the things that we know that AWS is really well-known for is its massive ecosystem. And one of its ecosystem partners is joining us. Please welcome Domenic Ravita, the VP of Product Marketing from SingleStore. Dominic, great to have you on the program. >> Well, thank you. Glad to be here. >> It's a nice opening, wasn't it? (Lisa and John laughing) >> I love SNL. Who doesn't? >> Right? I know. So some big news came out today. >> Yes. >> Funding. Good number. Talk to us a little bit about that before we dig in to SingleStore and what you guys are doing with AWS. >> Right, yeah. Thank you. We announced this morning our latest round, 116 million. We're really grateful to our customers and our investors and the partners and employees and making SingleStore a success to go on this journey of, really, to fulfill our mission to unify and simplify modern, real time data. >> So talk to us about SingleStore. Give us the value prop, the key differentiators, 'cause obviously customers have choice. Help us understand where you're nailing it. >> SingleStore is all about, what we like to say, the moments that matter. When you have an analytical question about what's happening in the moment, SingleStore is your best way to solve that cost-effectively. So that is for, in the case of Thorn, where they're helping to protect and save children from online trafficking or in the case of True Digital, which early in the pandemic, was a company in Southeast Asia that used anonymized phone pings to identify real time population density changes and movements across Thailand to have a proactive response. So really real time data in the moment can help to save lives quite literally. But also it does things that are just good commercially that gives you an advantage like what we do with Uber to help real time pricing and things like this. >> It's interesting this data intensity happening right now. We were talking earlier on theCUBE with another guest and we said, "Why is it happening now?" The big data has been around since the dupe days. That was hard to work with, then data lakes kicked in. But we seem to be, in the past year, everyone's now aware like, "Wow, I got a lot of data." Is it the pandemic? Now we're seeing customers understand the consequences. So how do you look at that? Because is it just timing, evolution? Are they now getting it or is the technology better? Is machine learning better? What's the forces driving the massive data growth acceleration in terms of implementing and getting stuff out, done? (chuckles) >> We think it's the confluence of a lot of those things you mentioned there. First of all, we just celebrate the 15-year anniversary of the iPhone, so that is like wallpaper now. It's just faded into our daily lives. We don't even think of that as a separate thing. So there's an expectation that we all have instant information and not just for the consumer interactions, for the business interactions. That permeates everything. I think COVID with the pandemic forced everyone, every business to try to move to digital first and so that put pressure on the digital service economy to mature even faster and to be digital first. That is what drives what we call data intensity. And more generally, the economic phenomenon is the data intensive era. It's a continuous competition and game for customers. In every moment in every location, in every dimension, the more data hat you have, the better value prop you can give. And so SingleStore is uniquely positioned to and focused on solving this problem of data intensity by bringing and unifying data together. >> What's the big customer success story? Can you share any examples that highlight that? What are some cool things that are happening that can illustrate this new, I won't say bit that's been flipped, that's been happening for a while, but can you share some cutting edge customer successes? >> It's happening across a lot of industries. So I would say first in financial services, FinTech. FinTech is always at the leading edge of these kind of technology adaptions for speeds and things like that. So we have a customer named IEX Cloud and they're focused on providing real time financial data as an API. So it's a data product, API-first. They're providing a lot of historical information on instruments and that sort of thing, as well as real time trending information. So they have customers like Seeking Alpha, for instance, who are providing real time updates on massive, massive data sets. They looked at lots of different ways to do this and there's the traditional, transactionals, LTP database and then maybe if you want to scale an API like theirs, you might have a separate end-memory cache and then yet another database for analytics. And so we bring all that together and simplify that and the benefit of simplification, but it's also this unification and lower latency. Another example is GE who basically uses us to bring together lots of financial information to provide quicker close to the end-of-month process across many different systems. >> So we think about special purpose databases, you mentioned one of the customers having those. We were in the keynote this morning where AWS is like, "We have the broadest set of special purpose databases," but you're saying the industry can't afford them anymore. Why and would it make SingleStore unique in terms of what you deliver? >> It goes back to this data intensity, in that the new business models that are coming out now are all about giving you this instant context and that's all data-driven and it's digital and it's also analytical. And so the reason that's you can't afford to do this, otherwise, is data's getting so big. Moving that data gets expensive, 'cause in the cloud you pay for every byte you store, every byte you process, every byte you move. So data movement is a cost in dollars and cents. It's a cost in time. It's also a cost in skill sets. So when you have many different specialized data sets or data-based technologies, you need skilled people to manage those. So that's why we think the industry needs to be simplified and then that's why you're seeing this unification trend across the database industry and other parts of the stack happening. With AWS, I mean, they've been a great partner of ours for years since we launched our first cloud database product and their perspective is a little bit different. They're offering choice of the specialty, 'cause many people build this way. But if you're going after real time data, you need to bring it. They also offer a SingleStore as a service on AWS. We offer it that way. It's in the AWS Marketplace. So it's easily consumable that way. >> Access to real time data is no longer a nice-to-have for any company, it's table stakes. We saw that especially in the last 20 months or so with companies that needed to pivot so quickly. What is it about SingleStore that delivers, that you talked about moments that matter? Talk about the access to real time data. How that's a differentiator as well? >> I think businesses need to be where their customers are and in the moments their customers are interacting. So that is the real time business-driver. As far as technology wise, it's not easy to do this. And you think about what makes a database fast? A major way of what makes it fast is how you store the data. And so since 2014, when we first released this, what Gartner called at the time, hybrid transaction/analytical processing or HTAP, where we brought transactional data and analytical data together. Fast forward five years to 2019, we released this innovation called Universal Storage, which does that in a single unified table type. Why that matters is because, I would say, basically cost efficiency and better speed. Again, because you pay for the storage and you pay for the movement. If you're not duplicating that data, moving it across different stores, you're going to have a better experience. >> One of the things you guys pioneered is unifying workloads. You mentioned some of the things you've done. Others are now doing it. Snowflake, Google and others. What does that mean for you guys? I mean, 'cause are they copying you? Are they trying to meet the functionality? >> I think. >> I mean, unification. I mean, people want to just store things and make it, get all the table stakes, check boxes, compliance, security and just keep coding and keep building. >> We think it's actually great 'cause they're validating what we've been seeing in the market for years. And obviously, they see that it's needed by customers. And so we welcome them to the party in terms of bringing these unified workloads together. >> Is it easy or hard? >> It's a difficult thing. We started this in 2014. And we've now have lots of production workloads on this. So we know where all the production edge cases are and that capability is also a building block towards a broader, expansive set of capabilities that we've moved onto that next phase and tomorrow actually we have an event called, The Real Time Data Revolution, excuse me, where we're announcing what's in that new product of ours. >> Is that a physical event or virtual? >> It's a virtual event. >> So we'll get the URL on the show notes, or if you know, just go to the new site. >> Absolutely. SingleStore Real Time Data Revolution, you'll find it. >> Can you tease us with the top three takeaways from Revolution tomorrow? >> So like I said, what makes a database fast? It's the storage and we completed that functionality three years ago with Universal Storage. What we're now doing for this next phase of the evolution is making enterprise features available and Workspaces is one of the foundational capabilities there. What SingleStore Workspaces does is it allows you to have this isolation of compute between your different workloads. So that's often a concern to new users to SingleStore. How can I combine transactions and analytics together? That seems like something that might be not a good thing. Well, there are multiple ways we've been doing that with resource governance, workload management. Workspaces offers another management capability and it's also flexible in that you can scale those workloads independently, or if you have a multi-tenant application, you can segment your application, your customer tenant workloads by each workspace. Another capability we're releasing is called Wasm, which is W-A-S-M, Web Assembly. This is something that's really growing in the open source community and SingleStore's contributing to that open source scene, CF project with WASI and Wasm. Where it's been mentioned mostly in the last few years has been in the browser as a more efficient way to run code in the browser. We're adapting that technology to allow you to run any language of your choice in the database and why that's important, again, it's for data movement. As data gets large in petabyte sizes, you can't move it in and out of Pandas in Python. >> Great innovation. That's real valuable. >> So we call this Code Engine with Wasm and- >> What do you call it? >> Code Engine Powered by Wasm. >> Wow. Wow. And that's open source? >> We contribute to the Wasm open source community. >> But you guys have a service that you- >> Yes. It's our implementation and our database. But Wasm allows you to have code that's portable, so any sort of runtime, which is... At release- >> You move the code, not the data. >> Exactly. >> With the compute. (chuckles) >> That's right, bring the compute to the data is what we say. >> You mentioned a whole bunch of great customer examples, GE, Uber, Thorn, you talked about IEX Cloud. When you're in customer conversations, are you dealing mostly with customers that are looking to you to help replace an existing database that was struggling from a performance perspective? Or are you working with startups who are looking to build a product on SingleStore? Is it both? >> It is a mix of both. I would say among SaaS scale up companies, their API, for instance, is their product or their SaaS application is their product. So quite literally, we're the data engine and the database powering their scale to be able to sign that next big customer or to at least sleep at night to know that it's not going to crash if they sign that next big costumer. So in those cases, we're mainly replacing a lot of databases like MySQL, Postgre, where they're typically starting, but more and more we're finding, it's free to start with SingleStore. You can run it in production for free. And in our developer community, we see a lot of customers running in that way. We have a really interesting community member who has a Minecraft server analytics that he's building based on that SingleStore free tier. In the enterprise, it's different, because there are many incumbent databases there. So it typically is a case where there is a, maybe a new product offering, they're maybe delivering a FinTech API or a new SaaS digital offering, again, to better participate in this digital service economy and they're looking for a better price performance for that real time experience in the app. That's typically the starting point, but there are replacements of traditional incumbent databases as well. >> How has the customer conversation evolved the last couple of years? As we talked about, one of the things we learned in the pandemic was access to real time data and those moments that matter isn't a nice-to-have anymore for businesses. There was that force march to digital. We saw the survivors, we're seeing the thrivers, but want to get your perspective on that. From the customers, how has the conversation evolved or elevated, escalated within an organization as every company has to be a data company? >> It really depends on their business strategy, how they are adapting or how they have adapted to this new digital first orientation and what does that mean for them in the direct interaction with their customers and partners. Often, what it means is they realize that they need to take advantage of using more data in the customer and partner interaction and when they come to those new ideas for new product introductions, they find that it's complicated and expensive to build in the old way. And if you're going to have these real time interactions, interactive applications, APIs, with all this context, you're going to have to find a better, more cost-effective approach to get that to market faster, but also not to have a big sprawling data-based technology infrastructure. We find that in those situations, we're replacing four or five different database technologies. A specialized database for key value, a specialized database for search- >> Because there's no unification before? Is that one of the reasons? >> I think it's an awareness thing. I think technology awareness takes a little bit of time, that there's a new way to do things. I think the old saying about, "Don't pave cow paths when the car..." You could build a straight road and pave it. You don't have to pave along the cow path. I think that's the natural course of technology adaption and so as more- >> And the- pandemic, too, highlighted a lot of the things, like, "Do we really need that?" (chuckles) "Who's going to service that?" >> That's right. >> So it's an awakening moment there where it's like, "Hey, let's look at what's working." >> That's right. >> Double down on it. >> Absolutely. >> What are you excited about new round of funding? We talked about, obviously, probably investments in key growth areas, but what excites you about being part of SingleStore and being a partner of AWS? >> SingleStore is super exciting. I've been in this industry a long time as an engineer and an engineering leader. At the time, we were MemSQL, came into SingleStore. And just that unification and simplification, the systems that I had built as a system engineer and helped architect did the job. They could get the speed and scale you needed to do track and trace kinds of use cases in real time, but it was a big trade off you had to make in terms of the complexity, the skill sets you needed and the cost and just hard to maintain. What excites me most about SingleStore is that it really feels like the iPhone moment for databases because it's not something you asked for, but once your friend has it and shows it to you, why would you have three different devices in your pocket with a flip phone, a calculator? (Lisa and Domenic chuckles) Remember these days? >> Yes. >> And a Blackberry pager. (all chuckling) You just suddenly- >> Or a computer. That's in there. >> That's right. So you just suddenly started using iPhone and that is sort of the moment. It feels like we're at it in the database market where there's a growing awareness and those announcements you mentioned show that others are seeing the same. >> And your point earlier about the iPhone throwing off a lot of data. So now you have data explosions at levels that unprecedented, we've never seen before and the fact that you want to have that iPhone moment, too, as a database. >> Absolutely. >> Great stuff. >> The other part of your question, what excites us about AWS. AWS has been a great partner since the beginning. I mean, when we first released our database, it was the cloud database. It was on AWS by customer demand. That's where our customers were. That's where they were building other applications. And now we have integrations with other native services like AWS Glue and we're in the Marketplace. We've expanded, that said we are a multi-cloud system. We are available in any cloud of your choice and on premise and in hybrid. So we're multi-cloud, hybrid and SaaS distribution. >> Got it. All right. >> Got it. So the event is tomorrow, Revolution. Where can folks go to register? What time does it start? >> 1:00 PM Eastern and- >> 1:00 PM. Eastern. >> Just Google SingleStore Real Time Data Revolution and you'll find it. Love for everyone to join us. >> All right. We look forward to it. Domenic, thank you so much for joining us, talking about SingleStore, the value prop, the differentiators, the validation that's happening in the market and what you guys are doing with AWS. We appreciate it. >> Thanks so much for having me. >> Our pleasure. For Domenic Ravita and John Furrier, I'm Lisa Martin. You're watching theCUBE, live from New York at AWS Summit 22. John and I are going to be back after a short break, so come back. (digital pulsing music)