Good use cases for Apache Cassandra are those that work with the underlying storage engine, instead of fighting against it.
Remember, Cassandra has a log-based storage engine, the SSTable files underneath are immutable, and all data is not necessarily stored on every node (depending on your RF). Keep those points in mind, and you'll start to recognize good use cases quite easily:
- Large, growing datasets that require high performance and availability
- Data based on time or sequential events, such as log or time series data
- Data models requiring specific, narrow query patterns
- Data models serving ranges of multiple, sorted results
Often, modeling problems with Apache Cassandra can be solved by understanding ...
