Jitsu
Open-source event data collection platform for modern data teams
Founded
2020
Starting Price
\u00240
Category
Analytics & BI
Last updated March 8, 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
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
Pricing
Free
\u00240
- 200k active events/month
- Unlimited captured events
- 1 daily active sync
- Free ClickHouse instance
- Events debugger
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
