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 ...

NoSQL database systems are becoming popular for big data implementations and for the types of applications mentioned in the paragraphs above (for each specific type of NoSQL offering). The other term ...

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 ...

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 ...

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.

There are several different types of non-relational databases that fall under the NoSQL umbrella, including key-value stores, document-oriented databases, columnar databases and graph databases ...

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.

Basho's Riak 2.1 database zooms in on better write speeds The work that Riak company Basho has put into the NoSQL database's write speeds appears to have paid off with its 2.1 iteration. Read now ...

Well, as we used to know it, anyway. By the early 2000s, the limitations of the relational model–such as strict schemas and strong consistency–along the explosion of data and data types led architects ...

MarkLogic is a very flexible database, both in the types of data natively supported and in the ways that data can be indexed and queried. Not surprisingly, the price you pay for that flexibility ...