In an era defined by the rapid advancements of artificial intelligence and the need for scalable distributed systems, MongoDB Inc. is at the forefront, empowering developers and organizations to harness the full potential of these technologies.

At the MongoDB .Local NYC 2023 event, Mark Porter (pictured), chief technology officer of MongoDB, took the stage to share insights on MongoDB’s developer-focused approach, the integration of AI capabilities into its platform and the importance of scalable distributed systems. Porter’s vision and expertise shed light on the future of AI and how MongoDB is positioned to meet the evolving needs of developers and businesses.

“Hundreds of companies use MongoDB as the foundation of their AI apps,” Porter told theCUBE during the event. “And that’s because it’s distributed, it’s scalable, it’s flexible and it’s easy to work against.”

Porter spoke with theCUBE industry analyst John Furrier at the MongoDB .local NYC event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed MongoDB’s role in shaping the future of AI and scalable distributed systems. (* Disclosure below.)

MongoDB’s developer-focused approach and integration of AI

MongoDB .local NYC 2023 kicked off with a focus on developer-first platforms and the power of MongoDB’s distributed system. The company’s document model is an important part of enabling the flexible data structures needed for AI applications. There is a growing trend of enhancing applications with AI, and developers can leverage MongoDB’s distributed document data model to incorporate AI directly into their apps. While MongoDB is not solely an AI company, it serves as the foundation for numerous AI applications due to its scalability, flexibility and ease of use, according to Porter.

The integration of AI capabilities into the MongoDB platform opens up new possibilities for developers to build innovative apps that leverage the power of AI.

“What’s happening is people are enhancing their apps with AI,” Porter said. “If you think about having a document data model and that document data model is distributed across a large MongoDB estate, what developers can now do with the vector search technology released today … they can build apps that incorporate AI directly into their apps.”

MongoDB’s distributed system and its role in future scalability

Also up for discussion was MongoDB’s distributed system and its significance in handling large volumes of data and ensuring scalability. Legacy systems often hit a scalability wall, leading to re-architecting and data fragmentation across different databases.

With MongoDB, scaling out becomes effortless, according to Porter. One example includes MongoDB customers running a thousand nodes with three petabytes of transactionally consistent data, a feat not achievable with legacy systems.

“When you talk about getting to the scale that’s coming up, what’s your reaction to that? What do you see when you hear that phrase? With MongoDB, you can scale out,” Porter added.

By offering a distributed system, MongoDB enables applications to seamlessly run across multiple cloud providers, including Microsoft Azure, AWS cloud and Google Cloud Platform. MongoDB’s approach levels the playing field and promotes honesty and collaboration among cloud providers, Porter explained. As the era of AI continues to evolve, MongoDB remains at the forefront, empowering developers and organizations to leverage the potential of AI while building robust and scalable applications, he added.

“First off, it’s got to be easy to program against. It’s got to all be in one system. We believe that time series and AI and IoT data and tech data should all be in one system that makes it easier,” Porter stated. “The second thing you talk about is value. One of the most interesting things to me is once those things are all in one system, and once that system can scale, the day your app gets featured on the app store or the day you go big is not your biggest day of failure when you need to scale up and you can’t scale up anymore. Well, with MongoDB you can scale out.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the MongoDB .local NYC event:

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

Photo: SiliconANGLE