DBMS vs RDBMS: Everything You Need to Know

Data is information that has been collected and organized in a structured format. It can be numerical, text-based, or images and is used to analyze patterns and trends, make decisions, and develop strategies. Data is a set of values typically organized in a specific way. In most cases, data is collected into a table, with each row representing a different data point and each column representing a separate data category. Data can answer questions, solve problems, or provide information. Sometimes, data is used to make predictions or find trends. And the data in a database can be divided into two main categories: static and dynamic. 

  • Static data is data that does not often change, such as a list of countries or products. 
  • Dynamic data is data that frequently changes, such as a list of customers or a list of orders.

Learn Essential Skills for Effective Leadership

Executive Leadership Principles ProgramExplore Program
Learn Essential Skills for Effective Leadership

Understanding the Database

  • A database is a collection of data that computers can access. The data is organized in a way that makes it easy to find and use.
  • Databases are used to store data in a variety of formats, including text, images, and numbers. They can be used to store data in a structured way, such as a customer database, or in an unstructured way, such as a document database.
  • Databases can be used for various purposes, such as storing data for a website, keeping track of customer information, or managing inventory.  
  • A database is often controlled by a database management system (DBMS). In the database, you must recognize the data processing. Data processing is data collection, organization, analysis, and presentation. It involves various activities to summarize data to produce meaningful information. Data processing systems can range from simple to complex, depending on the type and quantity of data that needs to be processed.

What is DBMS?

A database management system (DBMS) allows users to store, retrieve, and manipulate data in a database. A DBMS typically provides tools that enable users to create, update, and delete data in the database. In addition, a DBMS may provide tools for managing the database, such as creating and deleting tables and indexes and managing user access to the database. It also includes data security, data integrity, and data recovery features.

Types of DBMS

There are four main types of DBMS: relational, object-oriented, graph-based, and NoSQL. 

  • Relational DBMSs are the most common and use a tabular structure to store data. 
  • Object-oriented DBMSs use an object-oriented model to store data, and Graph-based DBMSs use a graph structure to store data.
  • NoSQL DBMSs are a newer DBMS type that uses a non-tabular structure to store data.

There are some other types of DBMS also considerable one, and there are,

  • Hierarchical DBMS
  • Network DBMS
  • Cloud DBMS
  • In-Memory DBMS
  • Distributed DBMS
  • Multivalue DBMS

Become a Certified Expert in AWS, Azure and GCP

Caltech Cloud Computing BootcampExplore Program
Become a Certified Expert in AWS, Azure and GCP

Benefits of DBMS

A database management system (DBMS) is a software package designed to define, manipulate, and control a database. It is a system that enables the creation and maintenance of a central database. So, there are plenty of benefits of this DBMS, and the following are the considerable ones,

  • Data Integrity: A DBMS helps maintain data integrity due to its ability to enforce data integrity constraints. This integrity ensures that data is consistent, accurate, and reliable over time.
  • Data Security: A DBMS ensures data security through access control mechanisms like user profiles, passwords, and other authentication methods. This security ensures that only authorized users have access to the required data.
  • Data Redundancy: A DBMS eliminates data redundancy by storing data in a single centralized location. And this redundancy reduces the amount of data that needs to be stored and simplifies the data manipulation process.
  • Data Consistency: A DBMS ensures data consistency by enforcing data rules and constraints. More than this, this consistency ensures that all users have access to the same up-to-date information.
  • Cost Reduction: A DBMS system reduces the cost associated with data storage and data management.

What is RDBMS?

Generally, RDBMS stands for “relational database management system.” A relational database management system (RDBMS) is a database management system (DBMS) that uses relational techniques for storing and retrieving data. And also it is based on the relational model, which organizes data into rows and columns in tables. 

RDBMSs use SQL (Structured Query Language) to manipulate data in the database. SQL is a standard language that most RDBMSs use and SQL can insert, update, delete, and query data in the database. RDBMSs have been the most popular type of DBMS since the 1980s. And nowadays, RDBMSs are the most widely used database systems because they provide a powerful and flexible way to store, retrieve and manage data.

Benefits of RDBMS

A relational database management system (RDBMS) is a powerful tool for storing and retrieving data. RDBMSs are used in various web-based applications, financial systems, and customer relationship management (CRM) systems. RDBMSs are also well-suited for managing large volumes of data.RDBMSs offer several benefits over other database management systems. 

  • Structured Query Language (SQL): The most powerful benefit of RDBMS is the use of SQL to store, retrieve, manipulate, and manage data. SQL is a powerful language that enables users to interact with the database efficiently and effectively.
  • Atomicity: This feature of RDBMS ensures that all the transactions in the system are completed in an atomic manner. This means that all the transaction operations are done successfully, or none are done, ensuring data integrity and consistency.
  • Reliability: RDBMS provides a reliable system for storing, updating, and retrieving data. It also guarantees data security since it maintains an audit trail of every transaction, which helps detect any anomalies in the system.
  • Scalability: RDBMS is highly scalable and can easily be expanded to accommodate larger datasets. And this scalability leads to support for more users and data.
  • Flexibility: RDBMSs offer a high degree of flexibility, allowing users to add, delete, and update data easily. 
Don’t let it rain on your parade! Start your career in Cloud Computing today with our Post Graduate Program In Cloud Computing!


Hope this article was able to help you understand the key differences between DBMS and RDBMS and the various benefits of RDBMS. If you are looking to enhance your cloud computing skills even further, we would highly recommend you to check Simplilearn’s Post Graduate Program in Cloud Computing. This course, in collaboration with Caltech CTME, can help you hone the right cloud computing skills and make you job-ready in no time.

If you have any questions or queries, feel free to post them in the comments section below. Our team will get back to you at the earliest.


1. What is a DBMS?

A DBMS is a Database Management System, a software application that stores, retrieves, and manages data in a database. A DBMS is used by organizations to store data in a central location so that authorized users can access it.

2. What is an RDBMS?

An RDBMS is a Relational Database Management System. It is a type of DBMS that stores data in a relational database. RDBMSs are used by organizations to store data in a central location so that authorized users can access it.

3. What are the differences between a DBMS and an RDBMS (DBMS vs RDBMS)?

The main difference between a DBMS and an RDBMS is that a DBMS is a software application used to store, retrieve, and manage data in a database, while an RDBMS is a type of DBMS that stores data in a relational database.

4. Which is most prevalent between DBMS and RDBMS?

There are many differences between DBMS and RDBMS, but the most prevalent one is that RDBMS is a more robust and sophisticated tool than DBMS. RDBMS can handle large amounts of data more efficiently and effectively than DBMS. Additionally, RDBMS offers more features and tools for managing and manipulating data than DBMS. For these reasons, RDBMS is the more popular choice between the two.

About the Author


Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

View More
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.