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Answer» Following are some of the use cases where Kafka is not suitable : - Kafka is designed to MANAGE large amounts of data. TRADITIONAL messaging systems would be more appropriate if only a small number of messages NEED to be processed every day.
- Although Kafka includes a streaming API, it is insufficient for EXECUTING data transformations. For ETL (extract, transform, load) jobs, Kafka should be avoided.
- There are superior options, such as RabbitMQ, for scenarios when a simple task queue is required.
- If long-term storage is necessary, Kafka is not a good CHOICE. It simply allows you to save data for a specific retention period and no longer.
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