The rich document capabilities in MongoDB makes it possible to model many different applications. Even rigorous requirements of applications like e-commerce system are possible.

Unified data modeling supports features like document schema of NoSQL databases and reverse engineering of data from an existing database. It also supports visual refactoring of existing databases.

Document-oriented databases are one of the fastest growing categories of NoSQL databases, and the primary reason is the flexibility of schema or logic design. Document databases make it easier for ...

Amazon said DocumentDB is a fast, scalable, highly available and fully managed document database service that runs on its cloud and is compatible with existing MongoDB applications and tools.

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

Because any database that does not support the SQL language is, by definition, a 'NoSQL' database, some very different databases coexist under the NoSQL banner. Massively scalable data stores like ...

Nonetheless, over the past year, we've seen a new spin with the multi-model database. The poster child, Azure Cosmos DB, is a database defined by its varied APIs. Want a document database?