Web developers like document-centric databases because they address a number of common use cases in their work. For example, a document-centric database works well for storing comments to a blog ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

Some examples of relational databases include Microsoft SQL Server, Oracle Database, MySQL and IBM DB2.

XML databases can handle data of just about any size or format. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

Comcast evaluated a variety of relational, NoSQL and graph databases, looking for one that could closely mimic the relationships that people have and how they view the world. “When we saw what ...

Routine queries to a relational database often require data from more than one file. For example, to obtain the names of customers who purchased a particular product, data must be extracted from ...

Relational database management system advantages and disadvantages are often tied together. While they are easy to use, for example, they can be complex and expensive to design and set up.

These provide some of the things that SQL-based relational databases do but are tuned heavily for handling the demands of big data. VoltDB falls into this category: it's a high-speed SQL database.

Even though it may be the wrong tool for the job, the years of development behind the relational database ensure its popularity — for the moment, says MongoDB's Max Schireson.