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

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.

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

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why.

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.

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

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.

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well ...