With so many NoSQL choices, how do you decide on one? Here’s a handy guide for narrowing your choice to three Hadoop gets much of the big data credit, but the reality is that NoSQL databases are ...

In 2010, when the world became enchanted by the capabilities of cloud systems and new databases designed to serve them, a group of researchers from Yahoo decided to look into NoSQL. They developed ...

Apache Phoenix lets you use standard SQL queries in a NoSQL database, and it's optimized for HBase ...

There is no query language for key-value stores, instead using basic CRUD (create, retrieve, update, and delete) commands. Popular key-value stores are Memcached, Redis, RocksDB, and Riak. Key-value ...

Apache Cassandra, originally developed at Facebook and later released as an open source project, is an example of a wide column store NoSQL database system. Finally, we have the graph database which ...

There are many document and column-oriented NoSQL databases, e.g. MongoDB, HBase and Couchbase. Read more about how VoltDB stacks up vs. other database solutions. Alternate data models in NoSQL ...

Instead, there are four popular types of NoSQL database offerings: document stores, column stores, key/value pairs, and graph databases. A document store manages and stores data at the document level.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

A relational database is no longer the default choice. Mike Loukides charts the rise of the NoSQL movement and explains how to choose the right database for your application.

One of the most interesting trends in the computer world during the past few years has been the rapid growth of NoSQL databases. The term may be accurate, in that NoSQL databases don't use SQL in ...