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

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

RDF store databases facilitate the inner workings of applications that connect data from multiple sources. This post is one of a series that introduces the fundamentals of NOSQL databases, and ...

NoSQL for the Enterprise NoSQL has emerged to manage new data types, huge volumes of data and the relationships between complex and connected today inherent in modern applications. The type of NOSQL ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record ...

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 ...

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 ...

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 ...

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

Neo4j is the most popular graph database on the market these days. While graph databases are part of the NoSQL movement, they really solve different problems than, say, Couchbase or MongoDB.

Data management: Using NoSQL to drive business transformation Couchbase CEO Matt Cain explains how his company gives end users a competitive edge through real-time data.