Amazon MQ vs Apache RocketMQ

Amazon MQ is a managed message broker service for Apache ActiveMQ and RabbitMQ. AWS handles broker provisioning, setup, upgrades, operation, maintenance, and failure recovery, while existing broker applications can migrate through standard messaging protocols without rewriting messaging code. Brokers can be launched from the AWS Management Console, CloudFormation, CLI, or API calls. Deployment options include single-instance, replicated-cluster, and active/standby modes, with availability and durability features across Availability Zones. ActiveMQ supports JMS, NMS, AMQP, STOMP, OpenWire, WebSocket, and MQTT, with clients for Java, Node.js, Go, Python, Ruby, and C++. RabbitMQ supports classic, classic mirrored, and quorum queues; quorum queues require RabbitMQ 3.13 or newer. CloudWatch receives broker and queue metrics every minute, and CloudTrail records related API calls. Data at rest uses AWS KMS encryption and broker connections use TLS; TLS 1.3 is unavailable for RabbitMQ brokers. Brokers can run inside an Amazon VPC, with private connections across VPCs and accounts for RabbitMQ. The service supports dead-letter queues, per-queue ordering, and configurable delivery guarantees. It is paid, with an AWS Free Tier plan for eligible new customers for six months; pay-as-you-go broker usage is hourly and storage monthly, with standard transfer fees potentially applying.

Apache RocketMQ is distributed middleware for asynchronous communication and publish/subscribe messaging. Its asynchronous model can separate systems and shift loads between upstream and downstream services. Messaging options include publish/subscribe, request/reply, streaming, transactional messages, FIFO ordering, filtering, and push or pull consumption. The project lists durable persistence, replication, failover, fault tolerance, high-availability options, and cross-region disaster recovery. Its site describes million-level LiteTopics per cluster and says RocketMQ has demonstrated 10M+ TPS throughput. It can run locally, in Docker, or Kubernetes, with source and binary packages available. The ecosystem includes EventBridge, MQTT, RocketMQ Connect, RocketMQ Streams, Spring, Flink, Prometheus Exporter, and a Kubernetes Operator; AI options include native MCP support, A2A compatibility, and integrations with LangChain, CrewAI, AutoGen, AgentScope, Dify, and Coze. The project lists gRPC SDKs for Java, Go, Python, C++, and Rust, plus gRPC, MQTT, JMS, and OpenMessaging protocols. It is free under Apache License 2.0. ACL is not enabled by default.