Any data can be stored in any record. Among the NoSQL databases, you will find four common models for storing data, which lead to four common types of NoSQL systems: Document databases (e.g. MongoDB).

Document database company Couchbase is set to be bought by a private equity biz in all-cash transaction valued at ...

Wide column store databases allow you to manage data that just won’t fit on one computer. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...

XML databases can handle data of just about any size or format. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

The document database is one of the fastest growing types of NoSQL databases today. It’s a derivation of the key-value store. But instead of storing data in rows and columns, the key value pairs are ...

Relational databases (SQL) have been used for decades by nearly every type of business around the world. The technology is reliable, based on stable standards, and has been mature for more than 20 ...

Today's abundance of NoSQL databases gives firms choice with one hand but doles out management complexity with the other, according to Basho CTO Dave McCrory.

MarkLogic is a document-oriented, distributed NoSQL database from the company of the same name. In the world of MarkLogic, a document is principally an XML file, though MarkLogic can also handle ...

NoSQL database systems are becoming popular for big data implementations and for the types of applications mentioned in the paragraphs above (for each specific type of NoSQL offering). The other term ...

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.