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Relational database

A relational database is a type of database that stores data in tables (called “relations”). Each table has rows (records) and columns (fields). Data is organized so that relationships between tables can be represented and queried efficiently.

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  1. Relational database (en-US)

    A relational database is a type of database that stores data in tables (called “relations”). Each table has rows (records) and columns (fields). Data is organized so that relationships between tables can be represented and queried efficiently.

  2. How it works

    Relational databases use a structured query language (most commonly SQL) to retrieve, update, and manage data. Relationships are typically defined using keys: a primary key uniquely identifies rows in one table, and a foreign key references a primary key in another table. This design helps maintain consistency and supports “joins,” which combine related data across multiple tables.

  3. Why it’s used

    Relational databases are widely used for applications that require reliable, well-structured data—such as banking systems, inventory management, and customer records. They also support constraints (like uniqueness and referential integrity) to reduce errors and improve data quality.

FAQ

What is the difference between rows and columns?

Rows represent individual records; columns represent attributes (fields) of those records.

What is SQL?

SQL (Structured Query Language) is the standard language used to query and manage data in relational databases.

Are relational databases still used today?

Yes. They remain common, especially where data integrity and structured relationships are important.

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