RudderStack Customer Data Platform vs Trench

RudderStack Customer Data Platform collects data from websites, applications, and backend systems, then routes it downstream in real time. Its warehouse-first approach builds on a customer’s warehouse, and RudderStack says it does not store customer data. Profiles can combine event information with other data-cloud sources to model a customer 360, while identity-resolved data can be activated across more than 200 tools. Listed integrations include Google Ads, Salesforce, Snowflake, Google BigQuery, Databricks, and Apache Kafka. Governance features include schema management, event validation, consent automation, and PII handling; security controls include SSO, SSH tunnels, permissions management, and audit logs. The Free plan costs nothing and includes 250K events per month, 16 SDK sources, 200+ cloud destinations, warehouse destinations, and Reverse ETL. Processing stops after a second consecutive monthly overage. Growth costs $265 a month and includes one million events per month. Enterprise pricing is custom, and a 30-day trial is listed.

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.