PostgreSQL implementation of document-oriented NoSQL datastore adopted under permissive MIT license The Linux Foundation on ...

By joining the Linux Foundation, DocumentDB reaffirms its core mission: to build an open, interoperable and developer-friendly document database on top of PostgreSQL. To learn more about DocumentDB's ...

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 ...

Document databases, one of the family of data products collectively referred to as “NoSQL,” are for developers who want to focus on their application rather than the database technology.

NoSQL databases were born out of the need to scale transactional persistence stores more efficiently. In a world where the relational database management system (RDBMS) was king, this was easier said ...

Document store databases let you manage records that are long and have varied structure. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...

Using NoSQL—and particularly document databases—for building custom content-driven applications gives the flexibility not only to store a wide variety of content but also to provide fast ...

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB, for example, uses a document model, which can be thought of as a row in a RDBMS.

Column databases have keys, values, and timestamps; the timestamp is used for determining the valid content. Cassandra is a prominent example of a column database. Document stores, such as MongoDB ...

Other NoSQL databases are designed to be flexible, and focus on data models: they don’t enforce a rigid or consistent schema across stored data. These ‘document stores’ expand upon the traditional key ...