Mixpanel
Self-serve product analytics for tracking user behavior, funnels, cohorts, and retention
Databuddy
Privacy‑first real‑time analytics platform for modern web apps
Databuddy delivers real‑time dashboards, user behavior tracking, and GDPR‑compliant data management for web applications, built with Next.js, TypeScript, and Bun for fast, secure deployment.
Overview
Overview
Databuddy is a privacy‑first analytics and data management platform designed for modern web applications. It offers real‑time dashboards, user behavior tracking, goal and conversion analytics, and built‑in GDPR compliance with data encryption.
Core capabilities
Built with Next.js, TypeScript, and Bun, the platform delivers a type‑safe codebase and fast server‑side rendering. Features include multi‑tenant support, secure authentication, custom event tracking, funnel analysis, and full API access for extending analytics pipelines. Upcoming releases will add advanced visualizations, cohort analysis, and A/B testing.
Deployment & community
Databuddy can be deployed on any environment that runs Bun, including Docker containers or Vercel‑compatible hosts. The project follows strict coding standards, provides extensive documentation, and welcomes contributions via GitHub, Discord, and email support. Licensed under AGPL‑3.0, it remains free to use and modify today.
Highlights
Real‑time analytics dashboard with live updates
Built‑in GDPR compliance and data encryption
Multi‑tenant architecture with secure authentication
Comprehensive API for custom integrations
Pros
- Strong privacy focus meeting EU data regulations
- Instant insights through real‑time analytics
- Type‑safe stack using TypeScript and Zod v4
- Extensible via a full-featured API
Considerations
- Advanced visualizations and cohort analysis are pending
- Requires Bun, which differs from standard Node tooling
- Export capabilities are not yet available
- Community size smaller than major commercial alternatives
Managed products teams compare with
When teams consider Databuddy, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Fit guide
Great for
- Companies needing GDPR‑compliant web analytics
- SaaS products that require multi‑tenant data isolation
- Developers preferring a TypeScript‑first, type‑safe stack
- Teams seeking real‑time user behavior insights
Not ideal when
- Projects that cannot adopt Bun as a runtime
- Organizations requiring out‑of‑the‑box advanced reporting visualizations
- Teams needing native mobile SDKs for analytics
- Users looking for a fully hosted SaaS solution without self‑hosting
How teams use it
Track conversion funnels for an e‑commerce site
Identify drop‑off points in real time and optimize checkout flow.
Monitor feature adoption in a SaaS dashboard
Measure active users per feature and set goal‑based alerts.
Ensure GDPR compliance for EU traffic
Collect only consented events with encrypted storage and audit logs.
Integrate custom metrics via API
Push server‑side events and retrieve analytics for internal reporting.
Tech snapshot
TypeScript91%
MDX7%
JavaScript1%
CSS1%
Dockerfile1%
Shell1%
Frequently asked questions
What is Databuddy?
Databuddy is a comprehensive analytics and data management platform focused on privacy and real‑time insights.
How do I get started?
Follow the Getting Started guide in the documentation to set up the project with Bun.
Is Databuddy free to use?
Yes, the platform is released under the AGPL‑3.0 license and can be used and modified at no cost.
What are the system requirements?
Bun is required for development and runtime; the project also uses Next.js and TypeScript.
How do I deploy Databuddy?
Deployment instructions are provided in the docs; you can deploy on any Bun‑compatible host, including Docker or Vercel.
Project at a glance
Active- Stars
- 883
- Watchers
- 883
- Forks
- 126
LicenseAGPL-3.0
Repo age11 months old
Last commityesterday
Primary languageTypeScript
Last synced yesterday