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A RabbitMQ quorum queue deletes each message once it is acknowledged and fsyncs before accepting it; a stream keeps it for rereading. On RabbitMQ 4.3.6, with 1 KB messages, the quorum queue moved 45,156 msg/s and the stream, over its own protocol, 281,330 msg/s, using 9 KB of memory per million messages against 20.5 MB.
Event-driven architecture decouples services through message brokers. Each component publishes events when something changes, instead of calling other services directly. It reduces coupling and improves resilience. It adds real value in domains with multiple consumers and natural asynchronous processing, but introduces operational complexity worth evaluating before adoption.
Kafka gets the headlines as the byword for modern messaging, but RabbitMQ remains the better choice for task queues with retries, asynchronous RPC, and pub/sub with complex routing. This guide compares both against NATS, walks through classic patterns and production mistakes, and helps you decide based on the actual use case rather than the trend.
