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Differentiate between DBMS and RDBMS.

Subject: Modern Information Technology For Management

Topic: IT Production Tools

Difficulty: Medium

1 Answer
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DBMS RDBMS
DBMS stands for Database Management System. RDBMS stands for Relational Database Management System.
A DBMS is a software used to store and manage data. A RDBMS is a software system which is used to store only data which need to be stored in the form of tables.
The DBMS was introduced during 1960’s to store any data. The RDBMS was introduced during 1970’s.
DBMS stores data as a files. A RDBMS stores data in the forms of the tables.
DBMS supports single users. RDBMS supports multiples users.
DBMS does not support client-server architecture. RDBMS supports client-server architecture.
DBMS has low software and hardware requirements. RDBMS has higher hardware and software requirements.
In DBMS, data redundancy is common. In RDBMS, keys and indexes do not allow data redundancy.
The support of integrity constants is just not present in DBMS. RDBMS has the support for integrity constants.
DBMS does not support normalization. RDBMS can supports normalization.
DBMS does not support distributed database. RBMS offers support for distributed databases.
DBMS does not support client-server architecture RDBMS supports client-server architecture.
There is no support for distributed databases in DBMS. RDBMS allows for distributed databases.
There is a lack of security in the DBMS model of storing data, There are several log files created, which automatically increases the security of the data stored in the RDBMS model.
DBMS needs minimum software and hardware requirements. In RDBMS, hardware and software requirements are higher than the classic DBMS.
In DBMS, there is no relationship between data In RDBMS, Data is stored in the form of tables which are related to each other with the help of foreign keys.
Data elements need to access individually. Data can be easily accessed using SQL query. Multiple data elements can be accessed at the same time.
It is specially designed to create and maintain data and enable the individual business application to extract the desired data. In this kind of system, data is managed and stored in rows and columns which is known as tuples and attributes.
Examples are a file system, XML, Windows Registry, etc. Examples are MySQL, Oracle, SQL Server, etc.
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