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 ...

Have you noticed that relational "technology" seems to be taking a beating these days? With new “data models” and types of database systems purported to be better than relational, it seems that the ...

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 ...

Google launched a public beta for a new global database service that features both the consistency of the relational model and the scaling and data functionality of NoSQL offerings. Called Cloud ...

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 ...

The information below serves as a brief primer to help you better understand the database terms you’ll most often encounter. Relational Databases. Relational databases became the database of choice ...

Transactional cloud databases come in all shapes and sizes, from simple key-value stores to planet-scale distributed relational databases. Here’s how to choose the right cloud database for your ...

The articles on NoSQL databases in Reuven M. Lerner's At the Forge column appearing in recent issues of LJ have been enjoyable. Because this is the Enterprise issue, I think it would be helpful to ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

MongoDB is replacing its founding chief technology officer with a veteran who has come straight from the relational database world. Mark Porter, most recently CTO of Singapore-based Grab, a ...