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Home/Categories/Data & Analytics/Trench
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Trench

Open source alternative to Amplitude, Mixpanel and Snowflake

  • 1.7K stars
  • MIT
  • Updated this year
  • Last commit 198 days ago

Last verified Oct 6, 2026

Track product events with self-hosted ClickHouse and Kafka analytics.

Visit websiteGitHub1.7K starsDeploy on Hostinger
image of Trench
TL;DR

Trench is open source analytics infrastructure built on Kafka and ClickHouse for event tracking, real-time analytics, and Segment-compatible collection. It replaces hosted product analytics pipelines for teams that want a self-hosted event layer. MIT licensed.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who Trench is for#

Product teams owning analytics data

Use Trench when product events need to stay in infrastructure you control while still supporting Segment-style tracking calls.

Skip if:

You need a fully managed analytics suite with polished non-technical reporting out of the box.

Engineers building custom analytics products

Use Trench as a base event pipeline for dashboards, observability, RAG, or internal analytics systems.

Skip if:

Your workload is a small marketing site where a hosted analytics snippet is enough.

the problem

The problem it solves#

Product analytics can become expensive and opaque as event volume grows. Hosted tools make tracking easy, but teams often lose control over raw events, retention, data deletion, and how analytics data feeds internal systems.

Building an event pipeline from scratch is also hard. Kafka, ClickHouse, ingestion APIs, privacy controls, and dashboards all need to work together before product teams can ask useful questions.

how Trench solves it

How it solves it#

Kafka and ClickHouse event pipeline

Processes event data through Kafka and stores analytics in ClickHouse, giving teams a high-volume architecture for real-time event workloads.

Segment-compatible tracking

Supports Segment-style Track, Identify, and Group calls, which lowers migration work for teams already using familiar analytics event patterns.

Single Docker image deployment

The official README describes a production-ready Docker image, making the first deployment simpler than assembling every analytics component by hand.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Raw analytics infrastructure ownershipTrench gives teams more control over event ingestion, storage, and deletion than closed hosted analytics dashboards.
  • Built for high event volumeThe project describes processing thousands of events per second on a single node, which matters for teams outgrowing basic product analytics tools.

Trade-offs

  • -Infrastructure skills requiredTrench simplifies the stack, but Kafka and ClickHouse still need operational understanding, backup planning, upgrades, and capacity management.
tech stack · detected from GitHub

What it's built on#

Languages
JavaScriptTypeScript
Frameworks
NestJS
Databases
ClickHouse
Runtimes
Node.js
Messaging
Kafka
Cache
Redis
Tooling
esbuild
frequently asked

FAQ#

What is Trench used for?

Trench is used for self-hosted event tracking and real-time analytics infrastructure built on Kafka and ClickHouse.

Is Trench Segment-compatible?

Yes. Trench supports Segment-style Track, Identify, and Group events according to the official README.

Who should use Trench?

Trench fits engineering teams that want to own analytics event infrastructure instead of sending all raw product events to a hosted analytics vendor.

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by category

Open source tools in these categories#

104

Data & Analytics

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Hostinger

Run Trench on your own server

Self-host Trench on a Hostinger VPS.

Deploy on Hostinger

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