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Relational database

Relational database is a type of database in which data is organized into tables, and these tables are linked based on data common to each table. This structure allows flexible, complex queries to be performed on many tables simultaneously.

Relational Database Structure
A relational database consists of several key components:

Relational and non-relational databases: a comparative study
While relational databases organize data into tables, non-relational databases, also known as NoSQL databases, do not rely on a table structure and use a variety of data models including document, graph, key-value and wide column.

Relational databases are best suited for handling structured data and complex queries. Non-relational databases are better suited for processing large amounts of diverse, rapidly changing data.

Relational Database Mechanism

Relational databases work based on the principles of the relational model proposed by E. F. Codd in 1970. This model is based on mathematical set theory and uses Structured Query Language (SQL) to query and maintain the database..

The Impact of Relational Databases on Business
Relational databases have a huge impact on business. They provide a highly efficient, flexible and secure system for storing and retrieving data. They support ACID properties (atomicity, consistency, isolation, durability), ensuring transaction reliability. They also offer robust security features including access control, views, and backup.

The leading relational database systems
There are several relational database management systems (RDBMS) available today. Some of the most popular include: