Apache RocketMQ vs StreamHouse

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.

StreamHouse is an open-source, self-hostable system combining event streaming, processing, schema management, and observability. Developers can ingest events through REST, gRPC, or the Kafka protocol, then use its SQL engine to query streams and transform events in pipelines. Pipelines can continuously send SQL-transformed results to PostgreSQL and be managed through the CLI or an SDK. StreamHouse stores data in S3 and describes that storage as S3-native. Its schema registry supports JSON Schema, Avro, and Protobuf with compatibility checking. Listed sinks include PostgreSQL, S3, and Elasticsearch. Monitoring includes Prometheus metrics, Grafana dashboards, and real-time WebSocket metrics. Organization-scoped isolation and permissioned API keys provide access controls. Python and TypeScript SDKs are documented, while CLI installation is available through Homebrew or a shell installer. The project uses Apache License 2.0, and its stateless agents can scale like web servers.