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The difference between DBMS and RDBMS lies in how they store and manage data.
DBMS (Database Management System) stores data as files without enforcing relationships between them, while RDBMS (Relational Database Management System) stores data in tables with relationships using primary and foreign keys.
RDBMS supports normalization, ACID properties, and SQL, making it more secure and efficient for complex data management.
Difference between DBMS and RDBMS
| DBMS | RDBMS |
| Data elements need to be accessed individually. | RDBMS stores data in tabular form. |
| Data is stored in the form of tables, which are related to each other. | Multiple data elements can be accessed at the same time. |
| No relationship between data. | It supports a single user. |
| Normalization is not present. | Normalization is present. |
| RDBMS supports a distributed database. | DBMS does not support a distributed database. |
| It stores data in either a navigational or hierarchical form. | It uses a tabular structure where the headers are the column names, and the rows contain corresponding values. |
| It is used to handle a large amount of data. | It supports multiple users. |
| RBMS | RDBMS |
| It is used for small organizations and deals with small data. | It supports a single user. |
| Data fetching is slower for a large amount of data. | It supports multiple users. |
| Data fetching is fast because of the relational approach. | The data in a DBMS is subject to low security levels with regard to data manipulation. |
| There exist multiple levels of data security in an RDBMS. | Examples: MySQL, PostgreSQL, SQL Server, Oracle, Microsoft Access, etc. |
| Low software and hardware necessities. | High software and hardware necessities. |
| Examples: XML, Windows Registry, etc. | It deals with a large amount of data. |
| Data redundancy is common in this model. | It deals with a small quantity of data. |
| Data redundancy is common this model. | Keys and indexes do not allow Data redundancy. |
