NoSQL is also addressed at Big Data, which usually means bigger than you want to put in a single RDBMS node. It is typically thought of as starting at a few terabytes and moving up into petabytes.

The NoSQL category is rather coarse and includes several types of data models: column data store, document store, graph data and key-value store.

A NoSQL database that perfectly suits a real-time app may not even function for traditional statistics. So both relational and NoSQL databases have valuable roles in data analytics.

The result is a useful NoSQL service that builds on the familiar Berkeley DB to deliver an enterprise-ready NoSQL store, which can also act as a feed into big data services.

We can tell that NoSQL databases are being used to house important data because people are now getting concerned about backing them up. Imanis Data is one of a few new companies focused on this ...

Dave Rosenberg July 6, 2010 8:21 p.m. PT Free NoSQL and data scalability cheat sheet Dzone ...

You can tell Oracle NoSQL to sign off on the write after one, all, or a simple majority of the nodes are finished sending the data to disk. The documentation calls this feature a durability policy.

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

It shouldn’t come as a surprise that the NoSQL market is projected to be worth $4.2 billion by 2020. Generally, NoSQL databases are better equipped to deal with other non-relational data too.

Key-Value Stores The most basic of the NoSQL databases is the key-value store, which is composed of a key and an associated data value (which can be a number, a string, or even another set of ...