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.

Content stores let you manage information that’s too elaborate for conventional databases. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...

NoSQL is a whole new way of thinking about a database. Though NoSQL is not a relational database, the reality is that a relational database model may not be the best solution for all situations.

A $3.4 billion market by 2018 — that’s the direction NoSQL technology is headed.. NoSQL databases — which span the categories of key-value stores, column-based stores and document and graph databases ...

"Today, developers work in object-oriented programming languages, and the way they think about data and managing data is massively different than the way a relational database works," Stirman says.

Document databases work well for event logging, online shopping, content management and in-depth analytical processing. The schema flexibility of document databases can also be useful for projects ...

How MongoDB's NoSQL database is encroaching ... common in relational databases. “This is an example of MongoDB addressing use cases that ... of MongoDB that can work in concert with ...

Dominated by the RDMS paradigm, databases were a pretty sleepy area of technology for many years. NoSQL changed all that. Although the technology behind most NoSQL databases isn’t new, a wild ...

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 ...

The company was formed by database researchers at the University of Hamburg, including CEO Felix Gessert, who announced its NoSQL Toolbox in a blog post yesterday. Titled " NoSQL Databases: a Survey ...