 Hey you guys and girls, welcome back to theCUBE's live coverage of AWS reInvent22 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 out one of our alumni to the program talking about partner ecosystem, Dominic Previta joins us, the VP of developer relations at Single Store. It's so great to have you on the program Dominic. Thank you for coming. Great, great to see you again. Great to see you too, we go way back. We do, yeah. So let's talk about reInvent22. This is the 11th reInvent. What are some of the things that you've heard this week that are exciting, that are newsworthy from Single Store's perspective? I think in particular what we heard AWS announce on the zero ETL between Aurora and Redshift. I think 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 it's a common thing to need to move data from transactional systems to analytic 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 the 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 our specialty in particular is to unify transactions and analytics for real-time applications and analytics. When you've got customer facing analytic applications and you need low latency data from real-time streaming data sources and you've got to crunch and compute that, those are diverse types of workloads over document transactional workloads as well as analytical workloads of various shapes and the data types could be diverse from geospatial time series. And then you've got to 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 AlloyDB basically adding the compliment to their workload types. You see it with Snowflake adding the compliment to their traditional analytical workload type. You see it with Mongo and others. And yeah, we do feel it was validation because at Single Store we completed the functionality for what we call universal storage which is the industry's first third type of storage. After Roe 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 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 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 got to have the historical data at the ready, accessible, efficiently accessible 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 heard 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 going to happen at the show. And Adam Salipsky said to him some interesting, very poignant things. One is that data, we talk about data democratization but he says the role of the data analyst is going to go away. Or maybe that term in that every person within an organization, whether you're marketing, sales, ops, finance, it's going to be analyzing data for their jobs to become data driven. How does single store help customers really become data companies, especially powering data intensive apps? Like I know you do. Yeah, there's a lot of talk about that 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 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 a marketing marketer, then we help power those kinds of real-time data applications that have the interactivity and have that customer touch point or that partner touch point. So you can say we put the data in action in that way. And that's one of the most important things is putting data in action. It can be gold, it can be whatever you want to call it, but if you can't actually put it into action, act on insights in real-time, 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 and makes that possible in ways that weren't possible before. And I'll give you an example. So we have 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, as software as a service, first of all, how can you keep up with that real-time deluge of click stream 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 what Google has in terms of databases? And Fathom's answer to that is to use Single Store. Their prior architecture had four different types of database technologies under the hood. They were using Redis to have fast read time cache. They were using MySQL database as the application database. They were looking at a last assertive full-text search and they were using DynamoDB as part of another kind of fast lookup, fast cache. They replaced all four of those with Single Store. And again, what they're doing is sort of battling de facto 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-owned research. We published this back in June, looking at total cost of ownership with benchmarks and the relevant benchmarks for transactions in analytics and databases are TPCC for transactions, TPC age for analytics, TPCDS for analytics. And we did a TCO study using those benchmark data on a combination of transactional and analytical databases together and saw some pretty big improvements and 60% improvement over my SQL Snowflake, for instance. Awesome, big business outcomes. We only have a few seconds left, so you've already given me a bumper sticker. 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 think it's that, 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 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 would say my favorite billboard so far of what we've run is Cover Your SaaS, which is what is the data layer 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 Rivita, I'm Lisa Martin. You're watching theCUBE, the leader in live emerging and enterprise tech coverage.