Relational databases for operations on large data sets are contraindicated because SQL queries tend to consume many CPU cycles and thrash the disk as they process data. If you think we’ve heard ...

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 ...

Multivalue databases handle certain data structures that are just a little too complex for conventional relational databases. This post is one of a series that introduces the fundamentals of NOSQL ...

DynamoDB: A database in the cloud . Dynamo fixed many of Amazon’s problems that SQL databases could not. But throughout the mid-to-late 2000s, it still wasn’t perfect.

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

1. MySQL. One of the most useful database management tools is MySQL. MySQL is used by top companies like Google, LinkedIn, YouTube, PayPal and Twitter, just to name a few.

The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the software developer. However there are times when a developer must combine Hibernate, JPA and SQL ...