They can handle data variety in the form of JSON or XML documents, and schemas can evolve as data changes over time. NoSQL vendors have been eating into the relational database market, helping ...

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.

In that respect, it’s unlike many other NoSQL databases, key-value or otherwise, since they store data in some persistent form. Memcached does not back its data store to anything.

NoSQL databases were designed with modern IT in mind. ... for example, it will be ... so it’s hard to seamlessly integrate NoSQL data in its native form into the larger world of data.

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 ...

Navigational databases offer exceptionally rapid data access in exchange for rigorous data structure requirements. This post is one of a series that introduces the fundamentals of NOSQL databases ...

NoSQL databases are often associated with "big data" tasks, ... for example, are now all selling some form of Hadoop integration to connect SQL-based analysis to the world of unstructured big data.

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.

While NoSQL databases are usually more efficiently at scaling out, Matt says that lots of different approaches are starting to emerge that build on top of relational databases to make them scale ...

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.