Kafka vs RabbitMQ vs AWS SQS — Which Message Queue for UK Software? (2025)

Updated: August 20259 min read
🇬🇧 UK💷 GBP📊 Comparison🔒 UK GDPR⚖️ UK Law

AWS SQS is the right default for most UK software projects: managed service (Cyber Essentials patching handled by AWS), simple queue semantics, pay-per-use pricing, and native AWS integration. Use AWS MSK (managed Kafka) only when you genuinely need event streaming at scale (1M+ events/day, multiple consumers, event replay). Use RabbitMQ when you need complex routing (topic exchanges, dead letter queues) and are not on AWS. Message queue choice affects UK Cyber Essentials patching obligations, UK GDPR event data handling, and operational complexity. Here is an honest comparison.

FactorAWS SQSApache Kafka (MSK)RabbitMQ
Cyber Essentials (managed)✅ AWS managed — patching handledAWS MSK managed — patching handledSelf-hosted — you manage patching
UK GDPR data residency✅ eu-west-2 — confirmed✅ AWS MSK eu-west-2Self-hosted on AWS eu-west-2 — ✅
Operational complexity✅ Zero — fully managed SaaSMedium — MSK, schema registryHigh — cluster management, plugins
Event replay / audit trailNo — messages deleted after processing✅ Log compaction — event replayNo — messages deleted after ack
High throughput (1M+ msg/day)Good (batch processing)✅ Best — designed for thisGood (but operational cost)
Complex routing (topic/fanout)Limited — FIFO and standard queuesTopics + consumer groups✅ Exchanges, bindings, routing keys
NHS DSP Toolkit audit eventsGood — dead letter queue for failures✅ Event replay for auditGood
Cost at scale✅ Pay per message — cheap for low volumeMSK cluster cost — more expensiveSelf-hosted infrastructure cost
ClickMasters default✅ Most UK microservice projectsHigh-throughput event streamingNot on AWS, complex routing needed

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