Relational Vs Non Relational Database (Key Differences)

What is the difference between relational and non relational databases? This article defines both database types and explains when you might use one or the other.

What is a relational database?

A relational database is a type of database that stores data in tables. Each table stores information about a specific topic, and the tables are linked together by common fields. This type of database is easy to use and understand, making it a good choice for small businesses and individual users.

What is a non-relational database?

A non-relational database is a type of database that does not store data in tables. Instead, this type of database uses a hierarchical structure to store data. Non-relational databases are often used by large businesses and organizations that need to manage complex data.

Difference between relational and non-relational database

The main difference between relational and non-relational databases is the way that data is stored. Relational databases use tables to store data, while non-relational databases use a hierarchical structure. This makes relational databases easier to use and understand, while non-relational databases are better suited for managing complex data.

This table will show you the key difference between relational and non-relational database.

CriteriaRelational DatabaseNon-relational Database
DefinitionThe data is stored in tables.It uses hierarchical structure to store data
Stored Items The stored items have relationships with each other The stored items can be structured, unstructured or semi-structured data.
Data IntegrationDue to constraints and relationships, data integrity is highData integration is difficult
Storage CapacityIt is suitable for medium to large data sizeLarge amount of data size
ReliabilityIt is highly reliable databaseIts reliability is low
ScalabilityThe scalability cost is very highIt is highly scalable
Prosi) data integrity,
ii) data accuracy,
iii) normalization,
iv) basic structure is easy to understand
v) easy access of data due to its simplicity,
vi) more secure
vii) it can be multi-user
i) Can easily handle unstructured data,
ii) high performance,
iii) dynamic changes do not effect other items of database,
iv) it is open-source
v) flexible data model
Consi) Data processing is slow,
ii) there is no support for complex data types
iii) expensive hardware needed for its scalability.
i) Its functionality is limited,
ii) manual query language,
iii) data consistency is poor,
iv) backup and consistency issues
ExamplesRelational database examples include MySQL, SQL Server, Oracle DatabaseNon-relational database examples are MongoDB, Cassandra, DocumentDB etc.
Relational Vs Non Relational Database

Which type of database is right for you?

If you need a simple database that is easy to use and understand, then a relational database is the best choice. If you need a database that can manage complex data, then a non-relational database is the best choice.

However, keep in mind that non-relational databases can be more difficult to use than relational databases. Before choosing a database, you should consider the databases’ characteristics and limitations and compare them to your company’s needs. You will be in a better position to decide whether relational database is good for you or non-relational database.

Relational Vs Non Relational Database
Relational Vs Non Relational Database

Further Reading

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