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 ...

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 ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

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, 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 ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

From monolithic database servers to no database servers at all. Can the serverless computing paradigm change the landscape for relational databases technologies as well? Serverless computing, a ...

File-based databases have been around since the dawn of computing. We’ve always needed to have a way of storing records of the same kind of information. In the PC world, we ended up with very popular ...

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 ...