Jitsu vs Trench

Jitsu collects event data from websites, apps, email, chatbots, and CRMs, then sends it to a data warehouse. It says delivery can take under a second, with optional batching, and buffers data in Kafka during warehouse maintenance so it can send the data after service resumes. Jitsu can deduplicate repeated events and create warehouse tables and columns from incoming data. JavaScript Functions can filter, transform, or enrich events before delivery. Its integrations page lists 609+ sources and 32+ destinations, including warehouses, object storage, analytics tools, CRMs, and ad platforms. Collection options include web snippets, HTTP and Pixel APIs, React Native, iOS, Android, and server-to-server. Jitsu is available as a hosted service or open-source software for on-premise deployment; feature-complete self-hosting requires Kubernetes. The Free plan includes 200k active events per month, while Business costs $99 a month and includes 2M active events per month. Captured events are free, but billing counts active events successfully sent to at least one destination. The service states that data is encrypted at rest with AES-256 and in transit via TLS.

Trench is open-source infrastructure for collecting, processing, querying, and routing real-time event data. It is built on Apache Kafka and ClickHouse, and the project says a single node can process thousands of events per second with Kafka. Users query incoming data through SQL or REST and can send it to other destinations using throttled webhooks. Trench supports the Segment specification, including Track, Identify, and Group, for server-side collection and event routing. Deployment is self-hosted: a production-ready Docker image includes Kafka, ClickHouse, and the application, and the Open Source plan runs on any cloud provider. Trench is released under the MIT License and the site describes it as GDPR compliant. The Open Source plan costs nothing, has no usage limits, and includes community support through Slack. Enterprise uses volume-based pricing and adds dedicated infrastructure, support, and deployment options.