What is the Difference Between RDBMS and OODBMS?

The main difference between a Database Management System (DBMS) and a Relational Database Management System (RDBMS) lies in the way they store and manage data. Here are the key differences between the two:

1. Data Storage: In DBMS, data is stored as a file, while in RDBMS, data is stored in the form of tables with relationships between them.
2. Data Retrieval: DBMS uses file processing to obtain data, whereas RDBMS uses Structured Query Language (SQL) to retrieve data.
3. Data Integrity: RDBMS supports ACID properties (Atomicity, Consistency, Isolation, and Durability) to ensure data consistency, while DBMS does not support these properties.
4. Security and Access: RDBMS supports security measures and is more secure than traditional DBMS. It also supports client-server architecture, which DBMS does not.
5. Scalability: RDBMS can handle large amounts of data more efficiently and effectively than DBMS.

In summary, RDBMS is a more advanced and robust system than DBMS, as it stores data in a tabular format with relationships, supports ACID properties for data consistency, and is more secure. RDBMS is the more prevalent choice between the two, as it can handle large amounts of data more efficiently.

Comparative Table: RDBMS vs OODBMS

Here is a table comparing the differences between Relational Database Management Systems (RDBMS) and Object-Oriented Database Management Systems (OODBMS):

RDBMS is based on the relational model, where data is organized into related tables, and it uses Structured Query Language (SQL) for data manipulation. In contrast, OODBMS represents data in the form of objects, as used in object-oriented programming, and stores complex data compared to relational databases.