The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...

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 ...

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.

In fact, Postgres even managed to inch back into fourth place on the DB-Engines database popularity rankings. But as hot as Postgres has been, NoSQL databases are even hotter.

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 relational databases still dominate IT budgets, many new development projects are turning to NoSQL databases, which have emerged in recent years to serve all sorts of interesting use cases.

The Oracle NoSQL Database clearly came from a development team with experience in open source tradition. The only installation headache I had went away when I changed localhost to 127.0.0.1.

While the concept of non-relational databases (NoSQL) actually pre-dates relational databases, they only became viable about 10 years ago. However, when they did, they were quickly adopted, primarily ...

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.

NoSQL databases: Redis Like CouchDB and MongoDB, Redis stores documents or rows made up of key-value pairs. Unlike the rest of the NoSQL world, it stores more than just strings or numbers in the ...

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.

NoSQL database adoption can be seen as taking place in three overlapping phases, he said. "Phase one started in 2008-ish, when you first started to see commercial NoSQL products being available.