What is the difference between Kafka and RabbitMQ?

Kafka and RabbitMQ are message queuing systems, but with different architectures and purposes.

• Kafka is a distributed log (journal) oriented towards high throughput, message storage, and stream processing. Messages in Kafka are stored on disk and can be read multiple times by different consumers. Suitable for analytics, stream processing, and systems with large data volumes.

• RabbitMQ is a message broker supporting various protocols (AMQP), focused on message routing, queues, and guaranteed delivery. Messages are usually deleted after consumption. Suitable for traditional task queues, RPC, and service integration.

Key differences:

• Kafka stores messages long-term, RabbitMQ usually short-term.
• Kafka supports multiple consumers subscribing to one topic, RabbitMQ uses routing queues.
• Kafka is optimized for stream processing, RabbitMQ for queue management and complex routing.

Example uses: Kafka for log collection and analytics, RabbitMQ for task distribution among workers.