DataFast vs Umami
Umami is the stronger choice for teams prioritizing open-source, cookieless analytics with either self-hosting or cloud deployment. DataFast remains the better fit when the primary requirement is its documented depth in payment connections, visitor-level revenue attribution, cross-domain or web-to-app journeys, and marketing integrations; the supplied Umami material claims traffic, campaign, behavior, conversion, and
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Umami if
- Teams that must self-host analytics and control the PostgreSQL deployment
- Privacy-sensitive websites seeking cookieless traffic, campaign, conversion, and revenue analytics
- Operators comfortable maintaining a Node.js and PostgreSQL application or Docker Compose stack
Stay with DataFast if
- Revenue attribution depends on documented native Stripe, LemonSqueezy, Polar, or Shopify connections; equivalent Umami connectors are not documented here
- Teams require individual visitor journeys, cross-domain or web-to-app tracking; equivalent Umami coverage is not documented
- Workflows depend on Google Search Console, Meta Ads, CLI, MCP, mobile apps, or scheduled reports; these are not covered by the supplied Umami sources or facts
Deployment and operations
Umami is MIT-licensed and available for self-hosting or cloud use. Source installation requires Node.js 18.18 or newer and PostgreSQL 12.14 or newer; the documented process uses pnpm to install, build, and start the application. Docker images and a Docker Compose configuration with PostgreSQL are also provided. Self-hosted operators are responsible for pulling updates, installing new dependencies and rebuilding, or pulling and recreating Docker containers. No Kubernetes support is documented in
Feature fit
What Umami covers
- Traffic and campaign analytics
- Behavior and conversion analytics
- Revenue analytics
- Cookieless analytics
- Cloud-hosted availability
What’s different or missing
- Native payment-provider connections not documented
- Visitor-level journey analysis not documented
- Cross-domain and web-to-app journeys not documented
- Real-time maps and device intelligence not documented
- Google Search Console and Meta Ads integrations not documented
- CLI and MCP access not documented
- Mobile apps and scheduled reports not documented
Project snapshot
- GitHub stars
- 38,202
- Contributors
- 426
- Language
- TypeScript
- Last commit
- Aug 12, 2026
- Latest release
- Aug 12, 2026
Categories: Product Analytics, Web Analytics
Sources and editorial review13 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
Umami is a privacy-first analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place — no cookies, no tracking, self-hosted or in the cloud.
repository description · github.comA server with Node.js version 18.18+.
readme · github.comPostgreSQL database version v12.14+.
readme · github.comBy default, this will launch the application on http://localhost:3000.
readme · github.comUmami provides Docker images as well as a Docker compose file for easy deployment.
readme · github.comuser-journey
github topic · github.comweb-analytics
github topic · github.comcohort-analysis
github topic · github.comUmami is a privacy-first analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place — no cookies, no tracking, self-hosted or in the cloud.
verdict · github.com- A server with Node.js version 18.18+. - A PostgreSQL database version v12.14+.
deployment · github.comUmami provides Docker images as well as a Docker compose file for easy deployment.
deployment · github.comTo get the latest features, simply do a pull, install any new dependencies, and rebuild:
deployment · github.comTraffic, campaigns, behavior, conversions, and revenue in one place
shared feature · github.com
