Plausible and Umami both answer the same question: how do you know what users actually do? Lightweight, cookie-free web analytics that fits on one page and stays out of consent banner territory. Open source privacy-focused analytics you can self-host on your own database, or use as a hosted service. The real split is ownership: Umami runs inside your project and leaves the operational work with you, while Plausible runs the hard parts as a service and takes a dependency in exchange.
The real split is ownership: Umami runs inside your project and leaves the operational work with you, while Plausible runs the hard parts as a service and takes a dependency in exchange.
| Comparison | Plausible | Umami |
|---|---|---|
| Pricing shape | Paid subscription based on monthly page views, with no free tier beyond the trial. | Free if you self-host on your own infrastructure, with a paid cloud plan by event volume. |
| Frameworks | Next.js, SvelteKit, Nuxt, Laravel, Django, Rails | Next.js, SvelteKit, Nuxt, Laravel, Django, Rails |
| In one line | Lightweight, cookie-free web analytics that fits on one page and stays out of consent banner territory. | Open source privacy-focused analytics you can self-host on your own database, or use as a hosted service. |
Pricing described qualitatively because published plans change often. Checked 2026-08-23. Confirm current terms on Plausible and Umami.
Strengths
Tradeoffs
Strengths
Tradeoffs
Neither is better in the abstract. The real split is ownership: Umami runs inside your project and leaves the operational work with you, while Plausible runs the hard parts as a service and takes a dependency in exchange. The wrong choice here is usually recoverable, so weight speed of decision over certainty.
Aggregate only, so you can never inspect an individual user journey. Custom events exist but the analysis depth stops well short of product analytics.
Self-hosting means you own uptime, upgrades and database growth forever. Analytics traffic writes to a database you must size and prune yourself.
Usually, at a cost that grows with how much of your product leans on the analytics layer. Plan for it in the data model, not in the framework, and the switch stays survivable.