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.

The design of a schema in MongoDB is just as important as it is in RDBMS. Indeed, schema design can be even more complicated in MongoDB. At least in SQL databases, we have the 'first normal form' ...

Although MongoDB is a “schema-free” database, it has offered limited support for enforcing some aspects of schema since 3.2. For instance, it is possible to specify mandatory attributes that every ...

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.

But schema tends to be variable in most MongoDB implementations, so we would like to see more focused efforts in the future for developing data lineage capabilities that could track schema evolution.

At its annual MongoDB World conference in New York this week, the company announced a slew of new features across its products, including a new version of its flagship database, MongoDB 6.0, along ...

Your data schema may change without downtime when using MongoDB. Depending on the application, it may feel more natural to develop in a document-oriented database. MongoDB has an easy-to-use protocol ...

MongoDB’s NoSQL, document-oriented, high-scalability database is designed for running big data application workloads, making application developers a key constituency for the company.

MongoDB has long been known as a niche player in the database wars. It’s one of the leading providers in the NoSQL segment of the database market, which emerged to handle data volumes in a scale ...