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 ...

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).

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 ...

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.

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 ...

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 ...

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 ...

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.

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% ...