Trench
Trench is a fast, scalable open-source analytics infrastructure powered by ClickHouse and Kafka that provides real-time event tracking with GDPR compliance.
https://www.trench.dev?ref=aipure
Product Information
Updated:Jul 16, 2025
What is Trench
Trench is an enterprise-grade event tracking system that combines Apache Kafka and ClickHouse technologies into a production-ready system. It is designed to handle large-scale event tracking and analytics needs while maintaining simplicity and regulatory compliance. The platform is available both as an open-source solution for self-hosting and as a fully-managed cloud service, backed by Y Combinator and maintained by a team with extensive scaling experience.
Key Features of Trench
Trench is an open-source analytics infrastructure built on ClickHouse and Kafka, designed for tracking events, users, page views, and interactions at scale. It provides a production-ready Docker image that combines powerful event tracking capabilities with GDPR compliance, offering both self-hosted and cloud options for businesses to implement scalable analytics solutions.
High-Performance Event Processing: Capable of handling thousands of events per second on a single node through Kafka integration, with real-time querying capabilities via SQL or REST
Single Docker Image Deployment: Simplified deployment through a single production-ready Docker image that includes Kafka, ClickHouse, and all necessary applications
Segment-Compatible Architecture: Follows industry standards with support for Track, Identify, and Group specifications, making it compatible with existing analytics implementations
Data Integration Flexibility: Features throttled webhooks for sending data to various destinations and supports multiple data export options
Use Cases of Trench
Website Analytics: Track page views, user interactions, and engagement metrics for marketing websites and web applications
User Behavior Analysis: Monitor and analyze user actions and patterns across digital platforms for product improvement
Real-time Event Monitoring: Track business-critical events and metrics in real-time for immediate insights and decision-making
Pros
Built on proven, enterprise-grade technologies (Kafka and ClickHouse)
Offers both self-hosted and managed cloud options
GDPR compliant and cookie-free tracking capability
Cons
Requires significant system resources (minimum 4GB RAM and 4 CPU cores recommended)
May need technical expertise for self-hosted deployment and maintenance
How to Use Trench
Install Prerequisites: Ensure your system has Docker and Docker Compose installed. Recommended minimum specs: 4GB RAM and 4 CPU cores for production environment.
Choose Deployment Option: Decide between self-hosting (Trench Open Source) or using Trench Cloud managed service. For self-hosting, follow the installation guide in docs.trench.dev
Deploy Trench Server: If self-hosting, deploy the Trench development server using Docker commands provided in the quickstart guide. The system runs on a single production-ready Docker image.
Configure Event Tracking: Set up event tracking using industry standard specifications like Track, Identify, and Group. Trench is compatible with Segment specification.
Implement Data Collection: Start collecting events through the system. Trench can handle thousands of events per second on a single node using Kafka.
Query Data: Access your collected data using either SQL queries or REST API endpoints. The system provides real-time querying capabilities through ClickHouse.
Set Up Data Export: Configure throttled webhooks to send data to other destinations if needed.
Join Support Community: For questions or assistance, join the Trench Slack group for community support. Cloud users get priority support.
Trench FAQs
Trench is an open-source event tracking system built on top of Apache Kafka and ClickHouse, designed for handling large event volumes and providing real-time analytics. It's GDPR and PECR compliant and requires no cookies.
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Analytics of Trench Website
Trench Traffic & Rankings
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Traffic Trends: Nov 2024-Jun 2025
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