Umami is a privacy-first analytics platform that tracks traffic, campaigns, behavior, conversions, and revenue without cookies or surveillance.
The core problem Umami solves is providing website analytics while respecting user privacy and avoiding the data collection practices of mainstream analytics services. It operates by collecting only essential metrics—page views, events, referrers, and user sessions—without storing personally identifiable information or using tracking cookies. The platform can be self-hosted or used as a managed cloud service, giving users control over where their data resides and how it is processed.
Teams should choose Umami if privacy compliance and data ownership are priorities, particularly those subject to regulations like GDPR or those building products where user trust matters. It suits small to medium-sized websites and applications that need actionable analytics without the complexity or privacy concerns of larger platforms. The tool provides audience segmentation, cohort analysis, and user journey tracking alongside standard metrics, making it capable for product analytics use cases. Organizations already committed to Google Analytics or similar services will find Umami's feature set more limited in scope, though the privacy-first model and self-hosting option represent a fundamentally different approach rather than a direct replacement.
Development activity shows consistent engagement with the codebase, with regular commits addressing both features and maintenance. The project maintains active issue triage and responds to user-reported problems, indicating ongoing attention to stability and user needs. Pull requests are reviewed and merged at a steady pace, suggesting a maintainable development rhythm without long periods of stagnation.
