Differences Between RDBMS and NoSQL DBMS

Relational Database Management System (RDBMS) and NoSQL Database Management System (DBMS) are two types of databases that serve different purposes.

RDBMS

• Structured, tabular data model with predefined schemas
• Uses SQL for querying and managing data
• Strong data consistency and ACID properties
• Scaling can be challenging with large datasets

NoSQL DBMS

• Non-relational, distributed data model without fixed schema
• Various query languages and APIs
• Flexible and scalable for handling large amounts of data
• Weaker consistency guarantees but high availability and partition tolerance

Scenarios for Choosing RDBMS or NoSQL DBMS

When deciding between RDBMS and NoSQL DBMS, consider the following scenarios:

1. Use RDBMS when:
• Working with structured data requiring complex queries and transactions
• Ensuring data integrity and consistency are top priorities
• Handling small to medium-sized datasets with a stable schema
2. Use NoSQL DBMS when:
• Dealing with unstructured or semi-structured data that needs to scale horizontally
• High availability and fault tolerance are crucial requirements
• Rapid development and flexibility in data management are needed