Difference Between DBMS and RDBMS?

A database is an organized collection of data stored and accessed electronically. Databases are used to store and manage large amounts of structured and semi-structured data, such as financial information, customer data, and inventory data. Databases are designed to allow efficient storage, retrieval, and manipulation of data, and can be used in a variety of applications and systems, including business, healthcare, education, and government.

Databases use a specific data model, such as relational, hierarchical, or network, to organize and store data, and are managed by database management systems (DBMS), such as Relational Database Management Systems (RDBMS), which provide tools and

features to create, manage, and manipulate the database and the data stored within it.

In this, we are going to explain the difference between DBMS and RDBMS. This is a very simple topic to understand I will promise you that after reading this post you will be understood.

What is a DBMS?

DBMS stands for Database Management System, which is a software program designed to store, manage, and retrieve data stored in a database. A database is an organized collection of data stored in a structured way. A DBMS provides users with the ability to create, read, update, and delete data stored in a database, as well as manage and maintain the overall database system.

What is RDBMS?

RDBMS stands for Relational Database Management System, which is a type of database management system that uses a relational model to store and manage data. In simpler terms, it’s a system used to store and manage data in tables and establish relationships between the tables through keys.

What is the difference between DBMS and RDBMS?

DBMS (Database Management System) and RDBMS (Relational Database Management System) are both types of database management systems, but there are some key differences between them:

Data Model: DBMS can use various data models such as hierarchical, network, and object-oriented models to store and manage data, while RDBMS uses a relational model.

Data Storage: In DBMS, data can be stored in different formats such as trees, graphs, and networks, while in RDBMS data is stored in tables, and relationships are established between tables through keys.

Data Integrity: DBMS may not provide strict data integrity rules, while RDBMS enforces rules to ensure the data’s accuracy and consistency.

Query Language: DBMS may use different query languages to retrieve data, while RDBMS uses Structured Query Language (SQL) to retrieve and manipulate data.

Scalability: DBMS may have limitations in terms of scalability, while RDBMS provides better scalability options due to its structured approach to data management.

Performance: DBMS performance may vary depending on the data model used and the complexity of the data being stored. RDBMS performance is generally better due to its structured approach to data management and the use of SQL for data retrieval.

Data Accessibility: Data accessibility in DBMS may be limited compared to RDBMS, which provides better data accessibility through SQL and a structured approach to data management.


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