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Jitsu

Jitsu

Open-source event data collection platform for modern data teams

Founded
2020
Starting Price
$0
Category
Analytics & BI
Company Size
1-10 employees
Last updated April 27, 2026

About Jitsu

Jitsu is a 100% open-source (MIT license) event data collection platform that captures behavioral data from websites, apps, emails, chatbots, and CRMs into your data warehouse. As a Segment alternative, it offers real-time event streaming, automatic identity resolution, and scriptable data transformation functions with support for major warehouses including Snowflake, BigQuery, Redshift, Postgres, and a free built-in ClickHouse instance.

Pros & Cons

Pros

  • Fully open-source under MIT license with no vendor lock-in
  • Free tier includes 200k events and a built-in ClickHouse instance
  • Segment-compatible API makes migration straightforward
  • Real-time identity graph resolves users automatically without SQL
  • Custom domain deployment reduces data loss from ad blockers
  • Scriptable functions allow flexible data transformation before warehouse storage

Cons

  • Small team (4 employees) may limit support response times and feature velocity
  • Self-hosting requires DevOps expertise to set up and maintain
  • Limited community and ecosystem compared to established alternatives like Segment
  • Paid plan jumps to $99/month which may be steep for small projects exceeding the free tier
  • Enterprise pricing requires contacting sales with no transparent pricing available

Key Features

Real-Time Event Collection

Capture behavioral data from web, app, email, chatbot, and CRM sources with simple tag-based implementation comparable to Google Analytics

Jitsu Functions

JavaScript-based event modification, filtering, and augmentation before warehouse storage with full access to npm packages

Identity Graph

Automatic real-time identity graph construction that incrementally resolves user identities without complex SQL matching

Multi-Warehouse Support

Send data to Snowflake, BigQuery, Redshift, Postgres, MySQL, or use the included free ClickHouse instance

Ad-Blocker Resilience

Custom domain deployment minimizes ad-blocker impact on data collection accuracy

Segment API Compatibility

Drop-in replacement for Segment with compatible APIs for easy migration

Connectors & Syncs

Unlimited connectors for pulling data from third-party sources with configurable sync frequencies

Self-Hosting Option

Deploy on your own infrastructure with the MIT-licensed open-source codebase and no usage limits

Events Debugger

Built-in debugging tools to inspect and troubleshoot event data in real-time

Configuration API

Programmatic access to manage sources, destinations, and functions via REST API

Pricing

Free
$0
  • 200k active events/month
  • Unlimited captured events
  • 1 daily active sync
  • Free ClickHouse instance
  • Events debugger
  • Unlimited destinations
  • Custom domains
Business
$99/month
  • 2M active events/month
  • $40 per additional 1M events
  • Up to 5 monthly active syncs
  • 1-hour sync frequency
  • ClickHouse UI/API access
  • Unlimited destinations
  • Custom domains
  • Configuration API
Open Source
$0
  • MIT license
  • Self-hosted on any cloud
  • No usage limits
  • Community support
  • Full source code access
Enterprise
Custom
  • Custom event limits
  • 1-minute sync frequency
  • Unlimited monthly active syncs
  • Dedicated support
  • Private cloud or on-prem deployment
  • Custom SLAs

Best For

Product Analytics Data Pipeline

Collect user behavior events from web and mobile apps and stream them into your data warehouse for analysis with tools like dbt, Metabase, or Looker

Segment Replacement

Migrate from Segment to an open-source alternative with compatible APIs while reducing costs and maintaining data ownership

Marketing Attribution

Track user interactions across channels including email, chatbots, and CRM to build a unified identity graph for attribution modeling

Privacy-First Analytics

Self-host the platform to keep all user data on your own infrastructure, meeting compliance requirements for GDPR and other privacy regulations

Real-Time Event Processing

Use Jitsu Functions to filter, enrich, and transform events in real-time before they reach your data warehouse

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