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, ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

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 ...

In a new research report, Gartner advises clients to consider the new “avant-garde” of new relational databases from vendors like MemSQL, NuoDB, and VoltDB when projects call for large amounts of ...

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 ...

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud ...

Disco. Bell-bottom pants. Platform shoes. Relational database management systems. Some of us have soft spots for the 1970s. But if you’re EdgeDB CEO Yury Selivanov, you would prefer to put relational ...

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Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...