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 ...

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.

There are several different types of non-relational databases that fall under the NoSQL umbrella, including key-value stores, document-oriented databases, columnar databases and graph databases ...

Example use cases include networks, social media (relationship management), search, fraud detection, real-time recommendations, and digital asset management. An example of a popular graph database ...

The wrong database, or poor implementation, can utterly undermine your work. So get to know what’s what with NoSQL databases to suit your own Big Data analytics needs.

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.

NoSQL databases did scale much, much better than Oracle Database, DB2, or SQL Server, which are all based on a 40-year-old design. However, each type of NoSQL database had new restrictions: ...

It’s one thing to have lots of choices for non-relational databases. Building up a NoSQL knowledge and experience base will definitely help managers, architects and developers compare and ...

It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

It took a long time for software architects to look beyond structured databases as a solution to common problems, but there is little debate that NoSQL databases have filled a serious void in a ...