These relational databases expanded how companies could store and manage their data, but SQL made it possible to interact with that data in ways that matched their business processes.

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

Learn about and revise the topics of relational databases and structured query language (SQL) with this BBC Bitesize GCSE Computer Science AQA study guide.

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English ...

What does relational database actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

PostgreSQL implementation of document-oriented NoSQL datastore adopted under permissive MIT license The Linux Foundation on ...

Understanding SQL and Relational Databases SQL is a programming language designed for working with what are known as relational databases.

Relational databases for operations on large data sets are contraindicated because SQL queries tend to consume many CPU cycles and thrash the disk as they process data.

SQL-based relational servers are built to handle the demands of financial transactions, designed around the tenets of ACID: Atomicity, Consistency, Isolation, and Durability.