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 ...

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 ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

Everyone knows what a simple database is: Telephone directories, mail-order catalogs and dictionaries are all databases of sorts. Databases can be structured or organized in several different ways: as ...

When XML came along five years ago, promising to rewrite the rules of data management, vendors of relational databases took note, but they didn’t panic. They’d already seen this movie a decade before, ...

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 ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

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 ...

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 ...

It’s not exactly clear where we are in the Gartner Hype Cycle with respect to so-called “NoSQL” databases. We’ve definitely been through the Trough of Disillusionment, but are we in the Slope of ...