https://techcrunch.com/2023/06/22/mongodb-readies-its-atlas-database-service-for-new-workloads/

At its MongoDB.local NYC event, MongoDB today announced a slew of product releases and updates. Given the company’s focus on its fully-managed Atlas service, it’s no surprise that the majority of news focuses on that platform, with improved support for AI and semantic search workloads, dedicated search nodes to better enabled search use cases and new capabilities to process streaming data, among others.

Andrew Davidson, MongoDB’s SV of product, told me that this is a continuation of the work the company has been doing on Atlas in recent years. “With Atlas, we can deliver capabilities much more quickly,” he said. “We’re able to add the power of search and time series and drive a wider variety of workload shapes.” He argues that as businesses are forced to do more with fewer resources — all while developers are expected to build more applications and do so faster — expanding Atlas’ capabilities is a natural evolution for MongoDB. “We think that this is totally our moment, because we come in with our developer data platform vision, saying: we want to enable a builder to express the vast majority of the features in the vast majority of their applications with respect to their operational data needs. That’s why we keep investing in all of these key primitives and capabilities,” he explained.