A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely questioned. But ...

Nowadays, huge volumes of unstructured data are generated, and this cannot be restricted to standardized text inputs for the RDBMS. For example, every corporate entity has applications that generate ...

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems--and there were few ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning ...

Are vendor claims that big data, IoT and NoSQL killed RDBMS credible? Nothing is that simple in the enterprise data center. I recently received a promotional message from a PR representative of a ...

The data explosion demands new solutions, yet the hoary old RDBMS still rules. Here's where you really shouldn't use it I am a NoSQLer and a big data guy. That’s a nice coincidence, because as you may ...

Of any enterprise technology, enterprises are most dedicated to their chosen database. Once data goes into a particular database, CIOs hate to take it out. It's costly, and the risks often outweigh ...