A relational database is a database in which data is organized into tables with predefined rows and columns. An inherent correlation between them characterizes the data points in these tables. For example, a good example of a relational database includes the complete records of the students belonging to a particular class in a school. This inherent correlation makes it increasingly simplistic for data teams to query and easily sort data accordingly.
The structure of a relational database encompasses multiple rows containing records. Each record is linked with a unique identifier called primary key, which uniquely identifies that record. In the student's record database, the roll number or the student's admission number could be considered the primary key to uniquely identify each record. MySQL, PostgreSQL, MariaDB are examples of relational databases.
Relational Vs Non-Relational Database
A relational database, as you have seen, stores correlated data in well-organized tables. On the other hand, non-relational databases represent those types of databases that may or may not adhere to any predefined input schema. The storage model for non-relational databases is adapted to suit the requirements of the item you intend to store. This property makes non-relational databases a lot more flexible than their relational counterparts. They are also known as NoSQL or not only SQL databases. MongoDB, Cassandra, and Redis are examples of NoSQL databases. You can check out more about relational and non-relational databases.
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