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.

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

To SQL or NoSQL? That’s the database question But as technological lines blur, there's not always a clear-cut answer.

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.

Some NoSQL solutions, therefore, focus on consistency models, i.e. availability: the database is always available to accept new data and can always provide an answer when queried, even if that data is ...

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.

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility ...

You'd think the advent of 'webscale' NoSQL databases would have consigned MySQL to history. But you'd be very wrong MySQL is a bit of an attention hog. With relational databases supposedly put on ...