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, ...

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 ...

Airtable is an online platform for creating, using, and sharing small relational databases. It’s not ready for enterprise users yet (that’s coming), but right now, if you want help managing data for ...

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 ...

Prior to 2008, whatever your database question, the answer was always,“Oracle”—or sometimes, “MySQL” or, “SQL Server.” The relational database management system (RDBMS) model—really a triumvirate of ...

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

One goal of some NoSQL databases is to remove the overhead and memory footprint of relational databases. Other goals of NoSQL databases include: closer affinity with programming languages, use of web ...

From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in industrial settings, artificial intelligence (AI) will be able to perform ...