Data and analytics · Relational databases and SQL

Relational DBMS

In Spanish: SGBD Relacional
See in the galaxyCopy link
Updated: 09/11/2026Reading: 2 min

Description

A Relational Database Management System (Relational DBMS) is a type of software that enables the creation, management, and manipulation of databases structured as tables. These tables are composed of rows and columns, where each row represents a unique record and each column an attribute of the record. The relational model, proposed by Edgar F. Codd in 1970, is based on set theory and provides a logical framework for data organization. Relational DBMSs use a Structured Query Language (SQL) to perform operations such as inserting, updating, deleting, and retrieving data. Among their most notable features are referential integrity, which ensures data consistency across tables, and the ability to perform transactions, which allows multiple operations to be grouped into a single unit of work. The scalability and flexibility of relational DBMSs have made them a popular choice for enterprise applications, content management systems, and any environment requiring efficient handling of large volumes of data. Their relevance in the field of information technology is indisputable, as they form the foundation of many modern applications and are fundamental to data analysis and informed decision-making.

History

The concept of relational databases was introduced by Edgar F. Codd in 1970, when he worked at IBM. His work laid the groundwork for the development of relational DBMSs, which began to appear in the 1980s. One of the first commercial relational DBMSs was Oracle, released in 1979. Over the years, other systems such as MySQL, Microsoft SQL Server, and PostgreSQL have gained popularity, each contributing unique features and performance improvements.

Uses

Relational DBMSs are used in a wide variety of applications, from enterprise management systems to e-commerce platforms. They are ideal for any situation requiring the efficient organization and retrieval of structured data. They are also used in data analysis applications, where the ability to perform complex queries is essential.

Examples

Examples of relational DBMSs include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL. These systems are widely used in businesses of all sizes to manage critical data and perform complex analysis.

Glosarix on your device

Install
×
Enable Notifications Ok No