What is RDBMS?
what is RDBMS? RDBMS stands for Relational Database Management System, which is a database management system based on relational data or structured in tables. This type of DBMS is used to store, manage, and access data in the form of interconnected tables, each identified by a unique primary key.
In the digital business world in Indonesia, efficient data processing has become a key factor in business success. When discussing data, we need a database capable of modern data management. This is where Relational Database Management Systems (RDBMS) come into play as an advanced data management technology. Let’s explore what RDBMS is and why it provides significant benefits across various industries in Indonesia.
Definition of Relational Database Management System
A Relational Database Management System (RDBMS) is a type of Database Management System (DBMS) that functions to store and provide access to interconnected data. A relational database follows a relational model, representing data in tables consisting of rows and columns.

How Does RDBMS Work?
In an RDBMS, each row in a table is recorded using a unique identifier known as a key. The key functions to identify, organize, and link data between tables. Some commonly used keys in relational databases include:
- Primary Key – Uniquely identifies each record in a table.
- Foreign Key – Establishes a relationship between two tables.
- Unique Key – Ensures that all values in a column are unique.
- Candidate Key – A potential primary key chosen from unique columns.
Apart from keys, there are also attributes. Attributes represent the columns in a table and store specific types of information, such as name, address, phone number, and salary.
Examples of RDBMS Tables
Example 1: “Customer” Table
Attributes:
- Customer ID – Primary key
- Name
- Address
- Phone Number
Explanation:
- The “Customer” table stores information about customers.
- Each row in the table represents one customer.
- The “Customer ID” column ensures each customer has a unique identifier.
- The columns “Name,” “Address,” “Phone Number,” and “Email” contain essential customer information.
Example 2: “Orders” Table
Attributes:
- Order ID – Primary key
- Customer ID – Foreign key, referring to the “Customer ID” in the “Customer” table.
- Order Date
- Total Order
- Payment Method
Explanation:
- The “Orders” table stores information about customer orders.
- Each row represents one order.
- The “Order ID” column ensures each order has a unique identifier.
- The “Customer ID” column links the “Orders” table with the “Customer” table.
- The columns “Order Date,” “Total Order,” and “Payment Method” store order-related information.
Relationships Between Tables
The “Orders” table contains a foreign key (“Customer ID”) that refers to the primary key (“Customer ID”) in the “Customer” table. This relationship allows us to track customer orders efficiently.
Relational Database Model
The Relational Database Model is built on relational algebra principles. The primary characteristics of this model include:
- Structured tables with rows and columns
- Each row has a unique identifier (Primary Key)
- Tables are connected through Foreign Keys
- Support for various operations using SQL queries such as INSERT, UPDATE, DELETE, and SELECT
SQL (Structured Query Language) is the standard language used to interact with RDBMS, ensuring data accuracy and integrity by preventing duplicate entries.
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Why RDBMS is the Right Solution
An RDBMS is an essential solution for companies in Indonesia to manage data efficiently. With an RDBMS, data can be stored, accessed, and managed seamlessly, helping businesses make informed decisions.
Applications of RDBMS
RDBMS is widely used in various fields, such as:
- Customer Relationship Management (CRM)
- Inventory Management Systems
- Order Management Systems (OMS)
- Content Management Systems (CMS)
- Financial Analysis
An RDBMS can track inventory, analyze sales, and manage customer transactions, ensuring smooth business operations and effective decision-making.
Comparison: Relational vs. Non-Relational Databases
1. Structure
- Relational Databases consist of tables, rows, and columns (attributes). Tables are linked by foreign keys.
- Non-Relational Databases store data in document-based or graph-based formats.
2. Query Language
- Relational Databases use SQL for data processing.
- Non-Relational Databases rely on specific database types, often requiring different query languages.
3. Usage
- Relational Databases are best suited for structured data, such as customer databases, financial transactions, and inventory systems.
- Non-Relational Databases are ideal for unstructured and rapidly changing data, such as social media engagement, e-commerce catalogs, and real-time sensor data.
Popular RDBMS Examples
1. MySQL
- Open-source RDBMS
- Highly scalable but not ideal for complex applications
- Best for small-to-medium web development projects and startups
2. PostgreSQL
- Open-source and highly stable
- Supports high scalability, security, and reliability
- Ideal for banking systems, e-commerce, ERP, CRM, and CMS applications
3. Microsoft SQL Server
- A commercial RDBMS by Microsoft
- Offers high performance and seamless integration with Microsoft platforms
- Best for enterprises using Microsoft ecosystems
4. Oracle Database
- A commercial RDBMS from Oracle Corporation
- Provides high performance, high uptime, and extensive features
- Used in banking, ERP, CRM, logistics, manufacturing, and e-government systems
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Conclusion
Relational Database Management Systems (RDBMS) have become an indispensable tool for businesses in Indonesia, enabling them to manage data effectively, make data-driven decisions, and drive innovation.
As Indonesia continues its digital transformation, RDBMS will play a crucial role in database management for the future.
Learn More About RDBMS!
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Author: Meilina Eka Ayuningtyas
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