Apache RocketMQ vs Huawei Cloud Distributed Message Service for Kafka

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.

Huawei Cloud Distributed Message Service for Kafka has no write-up on Specifiction yet; its figures are above.