What are the applications of Cassandra?

Cassandra, a high-performance distributed database, is widely used in the following scenarios:

1. Time-series data storage: Due to its highly scalable nature and distribution capabilities, Cassandra is well-suited for storing large amounts of time-series data such as logs, sensor data, network traffic data, etc.
2. Real-time analysis: Cassandra supports complex queries and aggregation operations, making it suitable for real-time analysis scenarios such as user behavior analysis and business metrics monitoring.
3. Big data storage and processing: Cassandra is able to handle large-scale datasets and can integrate with big data processing frameworks like Hadoop and Spark, making it widely used in big data storage and processing scenarios.
4. Highly available and fault-tolerant applications require a distributed architecture like Cassandra, which automatically shards and replicates data to provide high availability and fault tolerance. This makes it suitable for applications with high availability requirements, such as online financial transactions and online gaming.
5. Internet applications: Cassandra has high scalability and can support large numbers of users and data, making it suitable for internet applications such as social networks and e-commerce platforms.

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