Lightstreamer vs StreamHouse

Lightstreamer is an event broker for delivering real-time data to web and mobile applications, including across proxies, firewalls, disconnections, and network congestion. Intelligent Streaming adjusts data flow to network conditions and can resample or combine updates to keep users synchronized. Messaging options include publish/subscribe, request/response, client-to-server messaging, and fine-grained item and field subscriptions. StreamSense chooses WebSockets or HTTP connections for each client, including through restrictive firewalls and legacy proxies.

Ready-made connectors cover Kafka, MQTT, and JMS, with named examples including Confluent Cloud, Amazon MSK, Redpanda, AWS IoT Core, IBM MQ, and ActiveMQ. Custom adapters can be built with Java, Python, Node.js, .NET, and TCP sockets. Lightstreamer supports TLS, certificates, mutual authentication, and custom authentication and authorization. It can be deployed on-premises or in the cloud, with Helm, Docker, and Kubernetes support. Monitoring options include a web dashboard, configurable logs, JMX, Prometheus, and Grafana integrations. The free Non-Production Limited License requires a Production License and a server restart after at most 210 minutes of uptime.

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.