Best of all, MongoDB is conducive to AI applications. It enables the discovery of unexpected relationships within the data, paving the way for auto-schema creation and pattern recognition.

Some are straightforward, like the launch of MongoDB 4.2 with some important new security features, while others, like the launch of the company’s Atlas Data Lake, point the company beyond its ...

With MongoDB’s schema-less design, users will be able to bring in new multiple big data sources without needing to ‘prepare it’ in a more traditional sense.

Your email has been sent New ways to bring MongoDB data and apps to Azure Cosmos DB Published April 3, 2023 Written by Simon Bisson Table of Contents ...

MongoDB has also announced new products and capabilities that enable development teams to better analyze, transform and move their data in Atlas while reducing reliance on batch processes and ETL ...

A future of AI-based automation MongoDB is focused on positioning itself as “a data platform is suited for [the] next generation of AI applications,” according to Azam.

MongoDB, of course, offers its own query language, MQL. But for better or worse, data analysts are mostly familiar with SQL and Mongo is going after more of this market.