In which scenarios is Cassandra suitable for use?

Cassandra is suitable for the following use cases:

1. Large Scale Data Storage: Cassandra is a highly scalable distributed database system that is suitable for storing large amounts of data.
2. Applications requiring high availability and fault tolerance benefit from using Cassandra, which offers high availability and fault tolerance, supporting replication and failover mechanisms across multiple data centers.
3. Applications with high-performance read/write requirements: Cassandra has fast read and write performance, capable of handling large volumes of concurrent requests.
4. Cassandra’s data model is suitable for storing time series data, such as log data and sensor data.
5. Real-time data analysis and processing: Cassandra supports real-time data writing and querying, making it suitable for real-time data analysis and processing.

In general, Cassandra is suitable for applications that require high availability, high performance, and large-scale data storage and processing.