Key value databases are the least complicated of all data management structures. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many ...

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 ...

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB , for example, uses a document model, which can be thought of as a row in a RDBMS.

Match technology to need: As different NoSQL databases — like document stores, key-value stores, and column stores — have different strengths, be sure to select one that aligns with your ...

Key-value NoSQL database features compared. Five widely used products (including one cloud service) are worth your consideration; they are explicitly billed as key-value databases or offer key ...

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 range from key-value stores to columnar databases to document databases to graph databases. On the face of it, nothing sounds more natural or reasonable than a NoSQL database. The ...

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases. BT ...