Cassandra DB when to use

19.11.2024

When to use Cassandra DB:

Comparison of MongoDB vs Cassandra: What are the Differences? - Jelvix

1. Big Data Applications:

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  • 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.

2. High Availability and Fault Tolerance:

  • 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.

3. Time-Series Data:

  • 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.

4. Linear Scalability:

  • 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.

5. Operational Simplicity:

  • 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.

Yan Hadzhyisky

fullstack PHP+JS+REACT developer