DBMS Concepts

DBMS Tutorial Components of DBMS. Applications of DBMS The difference between file system and DBMS. Types of DBMS DBMS Architecture DBMS Schema Three Schema Architecture. DBMS Languages.

DBMS ER Model

ER model: Entity Relationship Diagram (ERD) Components of ER Model. DBMS Generalization, Specialization and Aggregation.

DBMS Relational Model

Codd’s rule of DBMS Relational DBMS concepts Relational Integrity Constraints DBMS keys Convert ER model into Relational model Difference between DBMS and RDBMS Relational Algebra DBMS Joins

DBMS Normalization

Functional Dependency Inference Rules Multivalued Dependency Normalization in DBMS: 1NF, 2NF, 3NF, BCNF and 4NF

DBMS Transaction

What is Transaction? States of transaction ACID Properties in DBMS Concurrent execution and its problems DBMS schedule DBMS Serializability Conflict Serializability View Serializability Deadlock in DBMS Concurrency control Protocols

Difference

Difference between DFD and ERD

Misc

Advantages of DBMS Disadvantages of DBMS Data Models in DBMS Relational Algebra in DBMS Cardinality in DBMS Entity in DBMS Attributes in DBMS Data Independence in DBMS Primary Key in DBMS Foreign Key in DBMS Candidate Key in DBMS Super Key in DBMS Aggregation in DBMS Hashing in DBMS Generalization in DBMS Specialization in DBMS View in DBMS File Organization in DBMS What Is A Cloud Database What Is A Database Levels Of Locking In DBMS What is RDBMS Fragmentation in Distributed DBMS What is Advanced Database Management System Data Abstraction in DBMS Checkpoint In DBMS B Tree in DBMS BCNF in DBMS Advantages of Threaded Binary Tree in DBMS Advantages of Database Management System in DBMS Enforcing Integrity Constraints in DBMS B-Tree Insertion in DBMS B+ Tree in DBMS Advantages of B-Tree in DBMS Types of Data Abstraction in DBMS Levels of Abstraction in DBMS 3- Tier Architecture in DBMS Anomalies in Database Management System Atomicity in Database Management System Characteristics of DBMS DBMS Examples Difference between Relational and Non-Relational Databases Domain Constraints in DBMS Entity and Entity set in DBMS ER Diagram for Banking System in DBMS ER Diagram for Company Database in DBMS ER Diagram for School Management System in DBMS ER Diagram for Student Management System in DBMS ER Diagram for University Database in DBMS ER Diagram of Company Database in DBMS Er Diagram Symbols and Notations in DBMS How to draw ER-Diagram in DBMS Integrity Constraints in DBMS Red-Black Tree Deletion in DBMS Red-Black Tree Properties in DBMS Red-Black Tree Visualization in DBMS Redundancy in Database Management System Secondary Key in DBMS Structure of DBMS 2-Tier Architecture in DBMS Advantages and Disadvantages of Binary Search Tree Closure of Functional Dependency in DBMS Consistency in Database Management System Durability in Database Management System ER Diagram for Bank Management System in DBMS ER Diagram for College Management System in DBMS ER Diagram for Hotel Management System in DBMS ER Diagram for Online Shopping ER Diagram for Railway Reservation System ER Diagram for Student Management System in DBMS Isolation in DBMS Lossless Join and Dependency Preserving Decomposition in DBMS Non-Key Attributes in DBMS Data Security Requirements in DBMS DBMS functions and Components What is Homogeneous Database? DBMS Functions and Components Advantages and Disadvantages of Distributed Database Relational Database Schema in DBMS Relational Schema

Difference between DBMS and RDBMS
2019-09-07 11:05:01

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.