What is the difference between DBMS and RDBMS?
Published November 28,2022 by Tvisha Technologies

What is the difference between DBMS and RDBMS?

What is DBMS?

A Database Management System or DBMS is a software application that acts as an interface between the user, various applications and the database for the purpose of analyzing and storing the data. This system is responsible for retrieving, creating, managing and updating the data in a synchronized manner. For doing the same, database languages are used by a database management system.

Features of database management systems

Here are the features which DBMS offers -

  •  Database customization.
  •  Organizing the data.
  •  Minimum data duplication and redundancy.
  •  Usage of query languages.
  •  Maintenance of data integrity.
  •  Metadata management.
  •  Saves storage space and cost.

How DBMS works?

DBMS works as follows -

  •  It allows data manipulation in the user's database files, including updating, creating, and editing when required.
  •  It organizes your database's files and gives end users more control and access to their data.
  •  It can also store and retrieve the needed data from the user's database.
  • Benefits of using DBMS

Here are the benefits of using DBMS

  •  Keeps track of data inventory, customers, and employees.
  •  Keeps operations of business running as planned.
  •  Maintains the performance of the application and database.
  •  Automate the data procedures and processes.
  •  Store and organize a variety of unique types of data.

Advantages of DBMS

Below are the advantages of DBMS.

  •  Better data integration
  •  Minimized data inconsistency.
  •  Data security.
  •  Faster data access.
  •  Provides best data integrity.

Drawbacks of DBMS

So here are the disadvantages of DBMS

  •  Increases cost.
  •  High complexity.
  •  Currency maintenance.
  •  Huge size.
  •  Database failure.
  •  Difficult backup and recovery.
  •  Lower efficiency.
  •  Increased vulnerability.

What is RDMS?

If we talk about the Relational Database Management System (RDBMS), it is a type of DBMS which is based on the Relational Model. Majority of the databases that are used presently are designed on the relational database model itself.

It is the prominent database system among various organizations across the world. It offers a dependable method that you can use to store and retrieve huge amounts of data. You can do it while providing a combination of ease of implementation and system performance.

Features of relational database management systems

RDBMS has four essential features termed in short form as ACID -

  •  Atomicity - It keeps data accurate
  •  Consistency - The database state should stay consistent throughout the transaction
  •  Isolation - Here, each transaction is separate and not dependent on others.
  •  Durability - You can recover the data from a failed transaction.

How RDMS works?

RBMS stores the data in a table form. Each system has a different number of tables, and every table has a unique primary key. This primary key is necessary to recognize each table. The table has rows and columns. The rows represent horizontal entities or records which possess information for an individual entry. Columns are referred to as vertical entities containing data related to a particular field.

Before creating a table. RDMS has to check the following constraints.

  •  Foreign keys
  •  Primary keys
  •  Not null
  •  Check
  •  Data integrity.

Benefits of using RDBMS

Here are the merits of utilizing RDBMS

  •  Prevents the redundancy of data.
  •  Multi-person access.
  •  Privilege control and data security.
  •  Easier maintenance.
  •  Ease of use.
  •  Network access.

Advantages of RDBMS

The following are the RDBMS advantages -

  •  It is secured in nature.
  •  It is easier to utilize.
  •  It offers multiple interfaces.
  •  It offers the best physical database independence.
  •  It performs data manipulation.
  •  It provides better data integrity.

Drawbacks of RDBMS

  • Maintenance problem.
  •  Costly to set up and maintain.
  •  Lack of scalability.
  •  Complexity in structure.
  •  Reduction in performance over time.

Since DBMS and RDBMS share the same concept, i.e. they both are Database Management systems, people usually confuse between them. This article will discuss the difference between dbms and rdbms in sql.

Difference between DBMS and RDBM

In this section, we will discuss all the parameters in which these two differ from each other. Also, go through the difference between dbms and rdbms pdf to get a clear idea of how they differ. So here we compare dbms vs rdbms

  1. Data Storage

DBMS: Here, all the applications store their data in the form of a file. This data stored in the file is either stored in a navigational form or in a hierarchical form.

RDBMS: Here. all the applications store their entire data in the tabular form (in tables). These tables consists of an identifier termed as primary key.

  1. Normalization

The process of arranging the entire data in a database for avoiding data redundancy is known as Normalization.

DBMS: Normalization does not exist.

RDBMS: Normalization exists.

  1. Security

DBMS: Does not give any security constraints for securing the data from manipulation.

RDBMS: Provides integrity constraint for the ACID (Atomicity, Consistency, Isolation and Durability) property and is more secure.

  1. Distributed Database

A distributed database is one in which all the storage devices are not connected to the same common CPU and is controlled by a distributed database management system. Compare distributed database vs relational database to determine whether they support DBMS or RDBMS.

DBMS: The distributed databases are not supported.

RDBMS: The distributed databases are supported.

The distributed rdbms supports all the databases and is the perfect one to build a relational database distributed.

Finding the differentiation between a relational database vs distributed database will give you an idea of how they differ and support storing the data.

When you compare relational vs distributed databases, you can understand that distributed relational database is made on formal requestor server protocols and operations. It manages the tables in its environment. Whereas a distributed database creates, retrieves, updates, and deletes the distributed databases.

  1. Relation Between Tables

DBMS: Deploys file system for storing the data, therefore there is no relation between the data tables.

RDBMS: Stores the data in tabular form and hence a relation exists between the tables.

  1. Number Of Users

DBMS: Supports single user only. It is used for storing small amount of data and thus is generally used in small scale organizations.

RDBMS: Supports multiple users. Since it can handle large amount of data, it is preferred by large organizations.

  1. Examples

Here is the example of difference between dbms and rdbms

DBMS: Some of the file systems are XML, Microsoft Access, etc.

RDBMS: MySQL, PostgreSQL, SQL Server, Oracle, etc. are some of the common examples.


When it comes to deciding which database management system is best for your organization, it's better to find the difference between dbms and rdbms. Then you need to keep in mind the size of your organization and the amount of data which needs to be managed. However, comparing rdbms vs dbms will let you know that RDBMS is more secure and stores data in a structured manner. Choosing RDBMS is better than choosing DBMS. So knowing the difference between dbms and rdbms will allow you to know whether DBMS is better or RDBMS is best.


1. What is RDBMS and example?

RDBMS is a relational database management system that is oriented on data or relational models. Examples are MySQL, SQL server, Oracle etc.

2. Is SQL a DBMS or RDBMS?

It is neither an RDBMS nor DBMS. SQL is actually a programming language utilized to query the data on either of the database management systems.

3. Why is DBMS better than RDBMS?

When you find the difference between dbms and rdbms, you will understand that DBMS is better than RDBMS. It is because there is data redundancy in DBMS, but in RDBMS, redundant data is not possible due to indexing present.

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