Document-oriented databases (also called: aggregate databases, document databases or document stores) place each record, and its associative data, inside single documents. This database type is a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

There is a lot of data out there, and much of it doesn’t need to be stored in heavyweight relational databases, with complex query languages. That is particularly true of modern cloud applications and ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Though NoSQL originally developed as a flexible and agile alternative to relational database systems, non-relational databases haven’t yet gained wide acceptability in the large enterprise segment.

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

If you spend any time at all reading IT trade journals and websites, you've no doubt heard about the NoSQL movement. In a nutshell, NoSQL databases (also called post-relational databases) are a ...

One of the most interesting trends in the computer world during the past few years has been the rapid growth of NoSQL databases. The term may be accurate, in that NoSQL databases don't use SQL in ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...