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).

Deciding where to store enterprise data is no longer as simple as choosing between a relational database (RDB) and a data warehouse. Data volumes have exploded and so have choices for storing it.

Wide column store databases allow you to manage data that just won’t fit on one computer. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...

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 ...

Alternate data models in NoSQL offerings. Lucene, Solr and ElasticSearch offer text and document indexing functions, for example to implement real-time search as users enter terms. Graph databases ...

The paper opens with observations that NoSQL databases are generally built to handle certain data models. Tencent admits it ran several of them to power its fleet of products – social networks ...

It's clear that NoSQL adoption has paid dividends to the Twitters and Netflixes of the world. But it's been less apparent just how much attention mainstream organizations ought to pay to the trend ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

Oh, sure, NoSQL is having an impact on the $46 billion database market–still just 3% of the market, but growing at a rapid pace even as more traditional relational databases inch up by 5.4% ...