SingleStore details its latest integration with IBM to deliver faster AI analytics, simplify data

San Francisco-based SingleStore Inc. developed a distributed, cloud-native SQL database designed for data-heavy applications, all in a single engine. When IBM was looking into expanding its ecosystem it turned to SingleStore, ultimately forging a valuable partnership.

“At the end of the day, customers are looking for an end-to-end solution that solves their business problems, and SingleStore is good at real-time data analytics,” said Hemanth Manda (pictured, right), head of strategic partnerships at IBM. “By partnering with them, we can essentially address the needs of our customers, and also try to integrate our products and solutions so we can deliver a solution to our customers.”

Manda and Shireesh Thota (pictured, left), senior vice president of engineering at SingleStore, spoke with theCUBE hosts John Furrier and Savannah Peterson at AWS re:Invent, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the state of modern real-time data architecture, how IBM helps SingleStore with artificial intelligence-based indexing, how it simplifies data and more. (*Disclosure below.)

Exploiting innovation

SingleStore is a relational database, but what it does best, Thota explained, is real-time analytics. Using its own storage engine, query engine, and indexing, the database can quickly retrieve data insights as soon as it enters the system.

“We’ve innovated AI indexing in our database engine. But we want to go further than that, we want to be able to exploit the innovation that’s happening at IBM,” Thota said. “A good example is, we have a native connector with IBM Cognos and their business intelligence dashboards to reach the data very natively, so, we built a hyper-efficient system that moves the data efficiently.”

As the world becomes more complex, so does data management and infrastructure. This has spawned a need for users to simplify things, with SimpleStore’s embeddable AI designed to approach this need.

“We are simply providing libraries. Just like you have Python and Java libraries, now you’ll have AI libraries that you can go infuse and embed deeply within applications and solutions,” Manda said. “It becomes integrated and simplistic from the customer point of view. From a user point of view, it’s very simple to consume…I think SingleStore is doing that with data, simplifying data, and we are trying to do that with the rest of the portfolio, specifically AI.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent:

(* Disclosure: Singlestore Inc. sponsored this segment of theCUBE. Neither SingleStore nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE