Ted Neward talks about why NoSQL databases like Cassandra and MongoDB are gaining in popularity and how to choose between relational vs. non-relational databases for specific projects.

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 ...

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, ...

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 ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Reports of the death of the relational database have been greatly exaggerated – at least in the enterprise. According to a new study from Progress Software – the company’s latest annual data ...

Oracle (NYSE: ORCL) first introduced its relational database (the one that can be visualized in tables of rows and columns) in the late 1970s. While the Oracle database served user needs for decades, ...

Does the World Really Need Another Hadoop Distribution? Not all Hadoop packages offer a unique distribution of the Hadoop core, but all attempt to offer a differentiated value proposition through ...

Oracle has pivoted into the cloud and non-relational databases. MongoDB has built a massive community around its ecosystem. However, Oracle responded by introducing its own non-relational database. It ...