The move creates the first vendor-neutral open source alternative to MongoDB that has the potential to save enterprises money ...

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

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

NoSQL enables big data applications and has been on a tear as a result. But how do you decide if they're right for you?

While relational databases still dominate IT budgets, many new development projects are turning to NoSQL databases, which have emerged in recent years to serve all sorts of interesting use cases.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

To SQL or NoSQL? That’s the database question But as technological lines blur, there's not always a clear-cut answer.

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility ...

Oracle's take on the distributed key-value data store is enterprise ready and practically ACID. Could this be the NoSQL data store for the buttoned-down business crowd? [Originally published on ...

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.

Everywhere you look, there are new NoSQL databases — or “data stores,” if you’re one of those who feel that the word “database” can only be used by proper relational software offering ...