Difference between DBMS and RDBMS

Database Management System

A DBMS is system software which is used to store and manage the data in the database. It was introduced in 1960 for storing the data or information. This system allows the user to manipulate the data such as insertion, updation, and deletion. It also maintains and creates the database.

The database management system enforces integrity constraints to maintain the consistency of the database. DBMS also supports multiple views, in which different users can see different views for the same database.
The DBMS approach was developed to overcome the limitation of the file-based system. This system stores the data either in hierarchal or navigational form. 
Examples of DBMS are xml, file system, etc.

Relational Database Management System

RDBMS stands for Relational Database Management System. This DBMS follows the relational model in which the data is stored in multiple tables and tables are linked with each other using keys such as a foreign key. It supports the relational integrity constraints at the schema level.

The Relational Database Management System (RDBMS) is an advanced version of a Database Management System. It came into existence during the 1970s. This type of system also allows the organization to access data more efficiently than DBMS. RDBMS is a powerful DBMS and is widely used all over the world. The Standard Query Language (SQL) was used to access the data from the database.

Normalization can be performed on the RDBMS. It helps to minimize the redundancy of data in RDBMS and easier to perform transactions.  It maintains ACID properties, which increases the integrity of the data. MS SQL Server, MySQL, and Oracle are some examples of RDBMS.

DBMS	RDBMS
1. It stands for Database Management System.	1. It extends for Relational Database Management System.
2. DBMS stores the data in the files.	2. RDBMS stores the data in tables.
3. It can access only one data element at a time.	3. It can access multiple data elements at a same time by using SQL queries.
4. It doesn’t support distributed database.	4. It supports distributed database.
5. It fails to support the normalization technique.	5. It supports normalization to eliminate or reduce redundancy.
6. This type of management system supports a single user only.	6. This type of system supports multiple users.
7. It is system software used to manage databases on system hard disks and computer networks.	7. It is mainly used to maintain relationships among tables.
8. It does not support client-server architecture.	8. It supports client-server architecture.
9. This system stores the small quantity of data and used by small organizations.	9. It is designed to handle the huge amount of data and used by large organizations.
10. It follows less than seven EF Codd rules.	10. It follows eight to ten EF Codd rules.
11. No relationship exists between the tables.	11. A relationship exists between tables using keys.
12. It takes more time while accessing the data.	12. Data can be accessed faster than DBMS
13. It is difficult to modify the data.	13. It is easier to change the data.
14. High redundancy of data in DBMS.	14. Low redundancy of data in RDBMS.
15. Examples of DBMS are xml, file system, etc.	15. Examples of RDBMS are MS SQL Server, MySQL, Oracle, etc.