A relational database can contain many tables. Example For example, a row may hold information of a student named Chloe Clarke and another row will hold information related to another student.

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

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.

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.

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.

For example, if your load triples overnight, how quickly can you upgrade your hardware? The second scenario can be too difficult to manage with a relational database in general.

When duplication is necessary, users can employ SQL to duplicate data for queries, and for future use. Migration strategies and tools are then explained by McCauley, using AWS Database Migration ...

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