Databuddy
Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box
Open source alternative to:
Databuddy is an open-source, privacy-focused analytics solution designed for developers who care about both user privacy and insightful data. Built using modern web technologies like TypeScript, Next.js, React, Turborepo, Bun, and Tailwind CSS, it provides a robust, flexible analytics suite—with no compromise on data protection.
👉 GitHub Repository
🚀 Key Features
- Real-time analytics dashboard – Track user activity as it happens.
- User behavior tracking – Monitor pathways, conversions, and funnels.
- Goal & conversion tracking – Set custom goals and measure success.
- Custom event tracking, funnel analysis, cohort analysis (soon).
- A/B testing, advanced visualizations, exports, real-time updates, multi-tenant support (on the roadmap).
- Security & compliance – GDPR-ready, data encryption, secure auth, and API access.
🏗️ Architecture & Tech Stack
- Built with TypeScript, Next.js, React, Turborepo, Bun, Tailwind CSS.
- Open-source under AGPL-3.0 – use, modify, and self-host freely.
- Supports PostgreSQL, Redis, and optional ClickHouse via Docker.
- Local dev tools baked in:
bun run dev,db:push,sdk:build, seeding sample data. - Strong development workflow: staging, testing, linting, formatting, type checking, and DB migrations.
🌱 Community & Development
- ⭐ 457 GitHub stars and 62 forks (as of Sept 2, 2025).
- Built and maintained by Iza Nassar.
- Featured in Vercel’s Community Session: Why I Built Databuddy (Aug 21, 2025).
- Actively growing with contributions and feedback from the community.
✨ Why Developers Love It
- Developer-first & open-source – Inspect, extend, or self-host everything.
- Privacy-first – No third-party trackers, GDPR-compliant by design.
- Modern stack – Built with Bun, Next.js, Turborepo for speed and reliability.
- Feature-rich – Solid foundation now, with exciting features on the way.
🔎 TL;DR
Databuddy is a polished, open-source analytics platform that balances powerful insights with privacy-first values. It streamlines real-time user tracking while giving you full control of your data.
If you want a modern, extensible, GDPR-compliant alternative to tools like Plausible or PostHog, Databuddy is worth checking out.
Frequently Asked Questions
What makes Databuddy privacy-focused compared to Google Analytics?
Databuddy is GDPR-ready and built with data encryption, secure authentication, and API access, and the AGPL-3.0 codebase is fully auditable since it is open source. Because it can be self-hosted, you keep control of all tracking data. It focuses on user behavior and events rather than the ad-tech profiling associated with Google Analytics.
What infrastructure do I need to self-host Databuddy?
Databuddy is a TypeScript, Next.js, and React application that runs with PostgreSQL and Redis, with optional ClickHouse for heavier workloads, all deployable via Docker. The repo uses Bun for local development, with commands such as bun run dev, db:push, and sdk:build, plus DB migrations and sample data seeding. That keeps it self-hostable on fairly standard infrastructure.
What analytics features does Databuddy currently include?
Databuddy provides a real-time dashboard, custom event tracking, funnel analysis, goal and conversion tracking, and user behavior tracking of pathways. A/B testing, advanced visualizations, exports, real-time updates, and multi-tenant support are on the roadmap, and cohort analysis is planned. It is actively maintained by the community around the project.
Repository details
Updated 8/12/2026, 3:00:30 PM
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