Yugabyte, the distributed SQL database experts, today announced its support of the new document database-compatible Postgres ...

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.

This is due in part to the key value storing properties of NoSQL databases: The unstructured nature of session data is easier to store in a schema-less document than in a structured (and more ...

We can expect some of the differences between SQL and NoSQL systems to disappear over time. Already many SQL databases now accept JSON documents as a native data type, and can perform queries ...

This post is one of a series that introduces the fundamentals of NOSQL databases ... audio and long text documents. Content store databases are also called content repositories.

Although relational database schemas can be molded, eventually the schema is set and inflexible to change. On the other hand, NoSQL document databases are schema-agnostic. They can handle data ...

In a NoSQL database like MongoDB, for example, a document (aka complex object) can be the equivalent of rows joined across multiple tables, and consistency is guaranteed within that object.

the vendor said it was launching "a fully open source platform powered by" PostgreSQL on which "an end-to-end document database experience can be built, to meet the community's NoSQL database ...

MongoDB differentiates itself from legacy relational databases with its NoSQL document-based architecture, offering scalability and flexibility. The company's Atlas and Enterprise Advanced ...