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

RavenDB, a multi-model NoSQL document database trusted by developers and enterprises worldwide, is introducing its AI Agent Creator, a first-to-market feature fully integrated into the database that ...

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

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 ...

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

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.

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in 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.

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.

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...