𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗲𝘀: 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤, 𝗞𝗮𝗳𝗸𝗮, 𝗮𝗻𝗱 𝗦𝗤𝗦
Your choice of message queue shapes your architecture for years. You trade throughput for durability and latency.
RabbitMQ handles traditional queuing. It works best for complex routing. Use it for task distribution and work queues. It is easy to operate.
Apache Kafka handles event streaming. It is a distributed commit log. Use it to replay messages. It works for data pipelines and metrics. It has higher operational costs. It offers high throughput.
Amazon SQS has zero operational overhead. AWS manages it. It scales automatically. It works for decoupling microservices. It has a 256 KB message limit. FIFO queues hit a limit at 300 transactions per second.
Pick based on your needs:
- RabbitMQ: Complex routing and low throughput.
- Kafka: High throughput and event replay.
- SQS: Zero ops and AWS integration.
Use native features. Generic interfaces hide unique capabilities. Accept vendor coupling to get full functionality.