A Database Management System (DBMS) serves as a pivotal software tool in managing the intricate process of handling data. Its primary functions include defining, creating, and maintaining databases while ensuring controlled access to data. In this article, we delve into the reasons why DBMS is indispensable and explore the enhanced capabilities offered by its evolved counterpart, the Relational Database Management System (RDBMS).
DBMS:
Database management systems play a crucial role in maintaining the integrity and uniformity of data. They facilitate seamless data insertion and retrieval processes, addressing factors such as data speed and uniformity. The uniformity of the database is maintained as DBMS oversees the entire data flow, ensuring efficient data management.
RDBMS:
RDBMS, a specialized type of DBMS, introduces the concept of relations and key constraints. Tables, referred to as schema, and rows, known as tuples, form the foundation of RDBMS. Noteworthy features include the reduction of data redundancy and the preservation of database integrity, making it an advanced version of traditional DBMS.
Distinguishing Features between DBMS and RDBMS:
Data Storage:
- DBMS stores data as files.
- RDBMS organizes data in tabular form.
Data Access:
- DBMS requires individual access to data elements.
- RDBMS allows simultaneous access to multiple data elements.
Relationship between Data:
- DBMS lacks relationships between data.
- RDBMS stores data in tables with interrelated structures.
Normalization:
- DBMS lacks normalization.
- RDBMS incorporates normalization techniques.
Support for Distributed Database:
- DBMS does not support distributed databases.
- RDBMS supports distributed databases.
Structure:
- DBMS uses a navigational or hierarchical structure.
- RDBMS employs a tabular structure with columns and rows.
Data Quantity:
- DBMS deals with small quantities of data.
- RDBMS handles large amounts of data.
Data Redundancy:
- DBMS experiences data redundancy.
- RDBMS minimizes redundancy through keys and indexes.
User Support:
- DBMS supports a single user.
- RDBMS supports multiple users.
Data Fetching Speed:
- DBMS experiences slower data fetching for large amounts of data.
- RDBMS facilitates faster data fetching due to its relational approach.
Security:
- DBMS provides lower levels of security.
- RDBMS incorporates multiple levels of data security.
Software and Hardware Requirements:
- DBMS has lower software and hardware requirements.
- RDBMS demands higher software and hardware specifications.
Examples of DBMS and RDBMS:
- DBMS examples: XML, Window Registry, Forxpro, dbaseIIIplus.
- RDBMS examples: MySQL, PostgreSQL, SQL Server, Oracle, Microsoft Access.