DBMS vs RDBMS

 Database Management System vs Relational Database Management System

Today our topic of discussion is DBMS and RDBMS. Let start, we will be discussing the simple definition of both DBMS and RDBMS.

DBMS: Stands for Database Management System

 

The basic definition of Database Management system is to store data without any subsequent details of the Data. The Data retrieval for such data us quite slow and the presentation of Data required data to be stored repeatedly which is not any how a good practice.

Some DBMS details for understanding is as under

1.       Data elements need to access individually.

2.       No relationship between data.

3.       Normalization is not present.

4.       DBMS does not support distributed database.

5.       It stores data in either a navigational or hierarchical form.

6.       It deals with small quantity of data.

7.       Data redundancy is common in this model.

8.       It is used for small organization and deal with small data.

9.       It supports single user.

10.   Data fetching is slower for the large amount of data.

11.   The data in a DBMS is subject to low security levels with regards to data manipulation.

12.   Low software and hardware necessities.

13.   Examples: XML, Window Registry, Excel File, Text File etc

 

RDBMS: Stands for Relational Database Management System

 

This can be defined in a way with using a Work Relational which is more importantly enough to understand the concept of RDBMS. In this type database which is using in the real-life and we can see most of the running application around use with a fast storage and retrieval of data with some relations defined among the data stored in the Database.

Any how we will be discussing in detail. Some of the features that may define RDBMS are as under

1.       RDBMS stores data in tabular form.

2.       Multiple data elements can be accessed at the same time.

3.       Data is stored in the form of tables which are related to each other.

4.       Normalization is present.

5.       RDBMS supports distributed database.

6.       It uses a tabular structure where the headers are the column names, and the rows contain corresponding values.

7.       It deals with large amount of data.

8.       Keys and indexes do not allow Data redundancy.

9.       It is used to handle large amount of data.

10.   It supports multiple users.

11.   Data fetching is fast because of relational approach.

12.   There exists multiple levels of data security in a RDBMS.

13.   Higher software and hardware necessities.

14.   Examples: MySQL, PostgreSQL, SQL Server, Oracle, Microsoft Access etc.

 

Keep visiting this Blog and we will be discussing such basic and Clear Concepts of database Management System.

 

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