MongoDB unveils Atlas enhancements for AI and semantic search, stream processing, catering to modern data workloads and developer needs.

Other announcements included the general release of the redesigned MongoDB Shell, the ability to visualize Atlas Data Lake and AWS S3 data using MongoDB Charts, and new native full-text search ...

MongoDB’s MDB cloud native Atlas platform has established itself as the company’s strategic growth engine. Positioned as a unified data foundation, it brings together security, scalability and ...

In addition to integrating Google Cloud’s Vertex AI foundation models, MongoDB is adding features aimed at making Atlas a complete developer data platform.

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.

The new API currently has built-in support for aggregation pipelines to use with services like Atlas Search, and MongoDB plans to add support for services like Data Lake and Serverless Instances.

MongoDB targets next-generation AI development with Atlas Vector Search and alliances with Amazon Web Services and Informatica.

Mongo Atlas-MongoDB's Database as a Service offering-has become increasingly central to MongoDBs commercial strategy. Since its launch in 2016, MongoDB has onboarded tens of thousands of customers to ...