Redis Streams vs Kafka vs RabbitMQ

Similar ideas, different strengths

Redis Streams borrow ideas from Kafka: an append-only log, IDs as positions, consumer groups, replay. Differences matter. Kafka stores data on disk with replication acknowledged by in-sync replicas, supports very long retention cheaply, and scales throughput with many partitions per topic; Redis keeps streams in memory, replicates asynchronously, and partitions only by using multiple keys. RabbitMQ offers rich routing (exchanges, bindings), per-message TTL, priorities, dead-letter exchanges and quorum-replicated queues, but replay requires its streams feature. Redis wins on simplicity and latency when you already run it, on mixed workloads (cache, rate limits, sessions and messaging in one system) and on small to moderate volumes with short retention. Choose Kafka for durable, high-volume event logs; RabbitMQ for complex routing and per-message semantics; Redis for lightweight, low-latency messaging with bounded retention.

Comparison at a glance

Typical characteristics; check current versions and managed offerings.

aspect                 Redis Streams            Kafka                     RabbitMQ
---------------------  -----------------------  ------------------------  ---------------------------
storage                memory (+ AOF/RDB)       disk, replicated log      disk/memory, quorum queues
retention              bounded by RAM           days to forever           until consumed (streams: policy)
replication            asynchronous             ISR acknowledgements      Raft (quorum queues)
consumer groups        yes, PEL + XACK          yes, offsets              competing consumers + acks
routing                by stream key            by topic/partition        exchanges, bindings, headers
latency                very low                 low                       low
best for               light, fast, short-lived durable high-volume logs  rich routing, task queues

Bicycle, truck and courier van

Redis is a bicycle: fast and nimble for short trips in town. Kafka is a freight truck: carries huge loads over long distances. RabbitMQ is a courier van with a sorting system: flexible routes to many addresses. Each is the right choice for a different delivery.

त्वरित जाँच: Which requirement favours Redis Streams over Kafka?

• Retaining two years of events cheaply
• Very low latency messaging with short retention in an existing Redis deployment
• Hundreds of partitions of disk-backed data
• Synchronous replication on every write