When to use Cassandra DB:

• Cassandra is ideal for handling large amounts of data across multiple servers.
• It can scale horizontally to accommodate growing data needs.
• Well-suited for applications that require real-time analytics on massive datasets.

• Cassandra is designed to be highly available with no single point of failure.
• It provides fault tolerance by replicating data across multiple nodes.
• Ensures data remains accessible even if some nodes fail.

• Good for storing time-series data such as sensor data, logs, and IoT device data.
• Supports efficient writes and reads for time-ordered data.
• Can handle high write throughput for time-series applications.

• Cassandra scales linearly as more nodes are added to the cluster.
• It can handle a large number of concurrent users and requests without performance degradation.
• Well-suited for applications with unpredictable growth patterns.

• Cassandra is easy to set up and maintain, making it suitable for organizations with limited resources.
• It automates tasks like data distribution, replication, and recovery.
• Requires minimal administrative overhead compared to traditional databases.