Jitsu

Best Self Hosted Alternatives to Jitsu

A curated collection of the 2 best self hosted alternatives to Jitsu.

Jitsu is a cloud-hosted customer data platform for event collection, ingestion, transformation and routing. It captures web/product events and forwards them to analytics tools, data warehouses, and marketing integrations via configurable pipelines.

Alternatives List

#1
PostHog

PostHog

Self-hostable product analytics platform with web analytics, session replay, feature flags, experiments, and data warehouse/CDP capabilities.

PostHog screenshot

PostHog is an open-source platform that helps teams understand product usage, ship safely, and improve reliability. It combines analytics, experimentation, replay, and data tooling in a single stack that can be self-hosted.

Key Features

  • Event-based product analytics with dashboards, funnels, cohorts, and SQL querying
  • Web analytics for traffic and performance-focused reporting
  • Session replay to review real user sessions for debugging and UX insights
  • Feature flags for controlled rollouts and targeting specific users or cohorts
  • Experimentation and A/B testing with statistical impact measurement
  • Error tracking with alerting to help identify and fix issues
  • Surveys and feedback collection integrated into product workflows
  • Data warehouse and lightweight CDP features to combine product events with external data

Use Cases

  • Measure activation, retention, and conversion across product journeys
  • Roll out new features gradually using flags and validate changes via experiments
  • Diagnose bugs and UX issues by correlating errors with session replays

Limitations and Considerations

  • Open-source “hobby” self-host deployments are commonly positioned for smaller event volumes and may require more operational work at scale

PostHog is well-suited for product engineers and data teams who want an integrated, self-hostable analytics and experimentation toolkit. It provides a unified view across product usage data and operational signals to support faster, safer product iteration.

30.9kstars
2.2kforks
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#2
Countly

Countly

Open-source product analytics platform with SDKs for mobile, web and desktop; provides dashboards, events, crash reporting, messaging, A/B testing and APIs.

Countly screenshot

Countly is a product analytics and customer engagement platform that captures, analyzes and acts on user behaviour across mobile, web and desktop applications. It combines data collection SDKs, a plugin-based server backend, dashboards and engagement tools with a privacy-first design.

Key Features

  • Broad SDK coverage for mobile, web and desktop platforms and a write API to ingest events from any source
  • Product analytics: sessions, views, events, funnels, retention, cohorts and custom dashboards for time-series and segmentation
  • Engagement & experimentation: push notifications, in-app messages, Journeys (workflow automation), surveys, A/B testing and smart variables
  • Crash and error reporting for multiple runtimes (mobile, desktop, Node.js, Unity, etc.) with crash aggregation and diagnostics
  • Remote configuration/feature flags to update app behavior without redeploys
  • Data governance: data management tools, consent/compliance hub and user/application/permission management
  • Extensible plugin architecture and read/write APIs for integration and custom processing
  • Deployment tooling: official Docker images, installer scripts and guidance for Linux-based deployments
  • AI-assisted analytics and agent features for automated report/dashboard generation and recommendations

Use Cases

  • Product teams tracking user journeys, funnels and retention across mobile and web to prioritize feature work
  • Marketing and growth teams running targeted campaigns and push notification journeys to improve engagement and retention
  • Engineering teams monitoring crashes, errors and release impact; using remote config and A/B tests to validate changes

Limitations and Considerations

  • Advanced plugins, extended features and enterprise-grade support are offered in commercial editions; some capabilities may be limited or gated compared to Enterprise/Flex offerings
  • Production scale deployments rely heavily on MongoDB and Linux tuning; large-scale ingestion and long-term retention may require architecture planning and operational expertise

Countly provides a complete, privacy-oriented analytics stack suitable for teams that need self-hosted control or a managed option, combining collection SDKs, analytics, engagement and extensibility in one platform.

5.8kstars
980forks
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Why choose an open source alternative?

  • •Data ownership: Keep your data on your own servers
  • •No vendor lock-in: Freedom to switch or modify at any time
  • •Cost savings: Reduce or eliminate subscription fees
  • •Transparency: Audit the code and know exactly what's running