Company Overview
Umami is an open-source web analytics tool created by Mike Cao in 2020, serving as a lightweight, privacy-friendly alternative to Google Analytics. Umami can be self-hosted with a single Docker command, offering real-time visitor analytics and page view statistics without collecting personal data or requiring cookie consent notices, fully GDPR compliant.
Umami's design philosophy balances simplicity, speed, and privacy. Users deploy the analytics software on their own servers, keeping all visitor data under their control. Its clean dashboard displays key metrics — visitor counts, page views, referrer sources, browsers, and operating systems — with a modern interface that presents essential data at a glance. Umami also supports multi-site management, shareable links, and a plugin system for extended functionality.
Related provider: Umami Analytics Service
Products
| Product | Type | Description |
|---|---|---|
| Umami | Analytics Engine | Core self-hosted web analytics application for data collection, storage, and visualization |
| Umami Dashboard | Management Panel | Web-based modern data visualization dashboard showing visitor trends, sources, and device info |
| Umami API | Data Interface | RESTful API supporting third-party integration and custom data analysis |
| Umami Share Links | Shareable Links | Generate public statistics links for sharing website data with clients or teams |
| Umami Plugins | Plugin System | Extensible plugin architecture for custom data processing and report enhancements |
Key Features
| Feature | Description |
|---|---|
| Privacy-First | No cookie tracking, no PII collection, fully GDPR compliant |
| Self-Hosted | One-click Docker deployment, data stored on your own server with no third-party dependency |
| Lightweight | Built on Node.js, extremely low resource footprint, suitable for low-end servers |
| Open Source | MIT licensed, free to use, modify, and distribute |
| Real-Time Stats | Near real-time data collection and display with no batch processing |
| Multi-Site Support | Manage analytics for multiple websites from a single instance |
Market Position
Umami competes in the self-hosted open-source web analytics space against the following alternatives:
| Competitor | Comparison |
|---|---|
| Plausible | Open-source self-hosted alternative with a minimal interface, known for lightweight resource usage |
| Fathom Analytics | Paid self-hosted solution offering richer reports and paid technical support |
| Pirsch | German competitor emphasizing privacy compliance and AI-driven analytics insights |
| Simple Analytics | Minimalist privacy-focused analytics available as SaaS and self-hosted options |
| GoatCounter | Lightweight open-source solution supporting both public stats and self-hosted modes |
| Matomo | Most comprehensive open-source analytics platform supporting self-hosting, but heavier resource usage |
Timeline
- 2020: Mike Cao created Umami, releasing the first public version
- 2021: Umami gained widespread GitHub traction with rapidly growing community contributions
- 2022: Multi-site management and shareable link features introduced, improving usability
- 2024: Plugin system released, supporting community extension development
- 2026: Ongoing iterative development as a leading open-source solution in privacy-friendly analytics
