RAG Frameworks · FrigadeHQ

trench

Trench is an open-source event analytics platform built on Kafka and ClickHouse, deployed as a single Docker image. It handles high-volume event tracking in real-time with GDPR compliance and can power product analytics, observability, or RAG applications.

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Source: GitHub — github.com/FrigadeHQ/trench

1.6k

GitHub stars

Forks

TypeScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	FrigadeHQ/trench
Owner	FrigadeHQ
Primary language	TypeScript
License	MIT — OSI-approved
Stars	1.6k
Forks	63
Open issues	3
Latest release	[email protected] (2024-12-04)
Last updated	2026-04-06
Source	https://github.com/FrigadeHQ/trench

What trench is

TypeScript-based event tracking system using Apache Kafka for streaming and ClickHouse for columnar storage. Exposes REST APIs compatible with Segment (Track, Group, Identify) and supports raw SQL queries. Handles thousands of events per second on a single node with optional Kafka SASL/SSL authentication.

Quickstart

Get the trench source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/FrigadeHQ/trench.git2cd trench3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Product Analytics Dashboards

Track user events, segment behavior, and build real-time dashboards for engagement metrics, funnel analysis, and cohort tracking—similar to PostHog or Plausible but self-hosted.

Observability and Monitoring Platforms

Ingest system events and application telemetry into a single GDPR-compliant store, query event patterns, and export via webhooks to alerting systems or downstream tools.

RAG and LLM Data Pipelines

Collect structured event data with full user control over access and deletion; query historical context and feed enriched event context into RAG retrieval or LLM prompts.

Implementation considerations

Requires Docker and Docker Compose; minimum 4GB RAM and 4 CPU cores recommended for production. Deployment is via docker-compose; no Kubernetes manifests or Helm charts mentioned.
Kafka and ClickHouse are bundled in dev image but must be managed/scaled separately in production. ClickHouse authentication for Kafka requires server config file edits, not runtime variables.
API uses Bearer token authentication (public/private keys in .env). No mention of OAuth, RBAC, or audit logging. Segment API compatibility is claimed but not formally tested or versioned.
GDPR/PECR compliance is stated but no detail on data residency, encryption at rest, or audit trails. User data deletion and rectification endpoints not fully documented.
Webhook destinations for data export are mentioned but webhook retry, format, and error-handling specifics are not detailed in provided README.

When to avoid it — and what to weigh

Managed SaaS Requirement Without Operational Overhead — Self-hosted version requires Docker, infrastructure, and ongoing ops. Trench Cloud exists but terms, SLA details, and pricing are not documented in provided data.
Early-Stage Production Stability Expectations — Latest release is 0.0.17 (pre-1.0) from December 2024. No published benchmarks, upgrade path, or breaking-change policy. Suitable for prototypes; risky for mission-critical deployments.
Complex Multi-Tenant or Entitlements Model — No mention of role-based access control, team management, or fine-grained permissions. Basic auth uses API keys; enterprise multi-tenancy not evident.
Vendor Lock-in Concerns with Kafka/ClickHouse — Core dependencies are Apache projects, but Trench's glue layer is closed-source in commercial offerings. Self-hosted is MIT, but data schema or export paths for migration not detailed.

License & commercial use

MIT License. Permissive OSI license allowing commercial use, modification, and distribution with minimal restrictions. Includes typical MIT liability disclaimers.

MIT license permits commercial deployment of self-hosted version. Trench Cloud is a managed offering from the maintainer (FrigadeHQ) but terms, pricing, data handling, and SLAs are not in the provided data. Any cloud commercial engagement requires separate review of Trench Cloud terms.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Kafka and ClickHouse support SASL and SSL authentication (documented via env vars and compose examples). No mention of encryption at rest, TLS enforcement, API rate-limiting, or DDoS protections. No security audit, CVE disclosure, or penetration test data available. GDPR/PECR compliance claimed but not formally certified. Bearer token auth stored in .env is a typical dev concern; production hardening and secrets management strategy not described.

Alternatives to consider

PostHog

Cloud and self-hosted product analytics with built-in cohorts, feature flags, and experiments. Larger community, mature versioning, but heavier infra footprint and potentially higher cost.

Plausible Analytics

Privacy-first, cookie-free event tracking with simpler UI and hosted-first model. Smaller scope (focused on web analytics, not custom events). Good for non-technical teams but less extensible.

Segment

Enterprise event collection platform with hundreds of integrations and strong data governance. Managed cloud-only (no self-host), higher cost, but industry standard for event pipelines.

Software development agency

Build on trench with DEV.co software developers

Trench is MIT-licensed and ready to deploy. Try the quickstart, join the Slack community, or explore Trench Cloud for a fully managed experience.

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trench FAQ

Is Trench suitable for production?

Self-hosted Trench is MIT-licensed and deployable, but pre-1.0 versioning, lack of formal SLAs, and no published benchmarks mean treat it as early-stage. Trench Cloud claims production readiness and 99.99% SLAs but terms require review. Consider pilot or non-critical workloads first.

What are the scaling limits of a single node?

README claims 'thousands of events per second on a single node' but provides no concrete benchmark (e.g., 5K, 50K events/sec). Kafka and ClickHouse configs are not tuned examples. Scaling horizontally requires external Kafka and ClickHouse clustering, not handled by Trench itself.

Can I migrate from PostHog or Segment to Trench?

Trench claims Segment API compatibility (Track, Group, Identify), so Segment-compatible clients should work. No migration guides, schema mapping, or data import tools are documented. Manual ETL or replay from Kafka/ClickHouse backups would be needed.

What is the difference between Trench Self-Hosted and Trench Cloud?

Self-Hosted is MIT open-source, deployed on your infrastructure. Cloud is a managed SaaS from FrigadeHQ with claimed 99.99% SLA and autoscaling. Pricing, data residency, and commercial terms for Cloud are not in the provided data; requires review on app.trench.dev or docs.

Software development & web development with DEV.co

From first prototype to production, DEV.co delivers software development services around tools like trench. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across rag frameworks and beyond.

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Trench is MIT-licensed and ready to deploy. Try the quickstart, join the Slack community, or explore Trench Cloud for a fully managed experience.

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