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 ...

With NoSQL, data can be stored in a schema-less or free-form fashion. Any data can be stored in any record. Among the NoSQL databases, you will find four common models for storing data, which lead ...

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 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.

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 ...

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 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.

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).

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 ...