This document evaluates MongoDB Vector Search against the author’s own Vector Database Evaluation Criteria. Introduction What stands out in MongoDB’s new offering is its name, Atlas Vector Search.

Vector search helps build generative AI apps In an effort to help enterprise build applications based on generative AI from data stored in MongoDB, the company has introduced a vector search ...

For a while now, MongoDB has been offering its Aggregation Framework, which allows developers to perform transformations on a stream of documents that comes out of a database.

Because MongoDB Atlas Vector Search uses an organization’s operational data, its integration with Amazon Bedrock will simplify the development of applications with generative AI and semantic ...

MongoDB MDB is laying the groundwork for sustained subscription growth through a focused, long-term approach. The company is doubling down on the enterprise segment, where it sees the biggest ...

MongoDB, for its part, introduced vector search to its flagship database-as-a-service product Atlas last June, a sign that the company was preparing for the oncoming AI tsunami.

In the first quarter of fiscal 2026, MongoDB reported revenues of $549 million, marking a 22% year-over-year increase. Atlas, its cloud platform, accounted for 72% of the total revenues, up 26% ...

However, until recently, database applications that want to use KNN have had to use awkward workarounds involving blobs or pre-computing the nearest neighbors. MongoDB vector search indexes provide a ...

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.

MongoDB MDB has been steadily benefiting from the rising demand for AI-powered applications. In the first quarter of fiscal 2026, MongoDB reported revenues of $549 million, marking a 22% year-over ...