With generative artificial intelligence dominating the conversation at tech conferences these days, data has become the centerpiece reshaping computing architecture. To keep pace with demands for intelligent applications, strategic partnerships are crucial. We explore key use cases at this week’s re:Invent conference, examining the relationship between MongoDB Inc. and Amazon.com Inc.

Over time AWS has realized that partners can help drive a ton of business and collectively solve business problems, according to Dev Ittycheria (pictured), MongoDB’s president and chief executive officer.

“That relationship has really blossomed,” he said. “We just struck a new strategic partnership with them earlier this year. We’re on both go-to-market product and just general integration of services. We feel really good about the relationship.”

Ittycheria spoke with theCUBE industry analysts John Furrier and Dave Vellante at the “Supercloud 5: The Battle for AI Supremacy” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the ongoing partnership and MongoDB’s focus on enabling developers to do more.

The big focus

Increasingly, MongoDB has been moving into the world of analytics. The company’s whole focus is on enabling developers to do more, according to Ittycheria.

“We’re not trying to be a data warehouse or some analytics platform for a BI user,” he said. “We’re really focused on enabling developers to do more sophisticated analytics as part of building very intelligent applications.”

MongoDB announced a new Vector Search functionality earlier this year. There is a reason developers are flocking to it as AI becomes more democratized, according to Ittycheria.

“As it moves left away from the machine learning engineers to developers, really embedding AI to make apps smarter, it’s having a real profound effect,” he said. “The reason they gravitated to MongoDB is that the usability of all these capabilities is very well-crafted so that the developers can just get the technology out of the way, that they can just do their work.”

It solves having to clunk and meander, according to Ittycheria. Instead, they can use a “very seamless platform” to be able to move fast.

“In a world where customers are being asked to do more with less, the best way to do that is to make your developers more productive,” he said. “Because you’re not necessarily going to grow your team by 30%, but if you can make your developers more productive by 30, 40%, all of a sudden you, by definition, have 30, 40% more capacity.”

Why should one use Vector Search in MongoDB? The analogy that Ittycheria used compared it to products such as iPhones or Teslas.

“It’s not like there aren’t other phones or other cars, but how it’s all packaged together in a way that’s so compelling and so user-friendly and enables people to do what they want to do, is essentially what differentiates MongoDB,” he said. “There’s other [tools] out there, but it’s very clunky for a developer to connect their vector data to their metadata, to their core data, to be able to orchestrate all that, then figure out how to do the embeddings and all that. It just becomes a very convoluted process.”

Here’s the complete video interview with Dev Ittycheria, part of SiliconANGLE’s and theCUBE’s coverage of the “Supercloud 5: The Battle for AI Supremacy” event:

Photo: SiliconANGLE