Comparison

Linqry vs Umami

Umami and Linqry are both cookieless and both ship funnels and revenue reports. Umami is open source and self-hostable; Linqry is hosted-only. Here is an honest look at where they differ.

Umami is the closest tool to Linqry on features: cookieless, with funnels, retention, goals and a revenue report. It is also open source under MIT and self-hostable on your own Postgres, which Linqry is not. Umami v3 goes further than Linqry in some areas — it has session replays and heatmaps, which Linqry does not. If you already run Umami happily, there is no compelling reason to switch. Linqry's case is a tighter loop between analytics and action: revenue attached to any event and broken down by source, campaign, country and device, per-visitor (same-day) timelines with the attribution chain, and a built-in SEO auditor in the same tool.

Licence

MIT. Open source.

Self-hosting

Yes — Node.js with PostgreSQL or MySQL, official Docker images, or the managed Umami Cloud.

Feature by feature

✓ yes · ~ partial · – no. Every Umami cell is sourced below.

Choose Umami if…
  • →You want session replays and heatmaps — Umami v3 has both, Linqry has neither.
  • →You want a mature project with a large community, ecosystem and integration list.
  • →You want a managed cloud option with an established free tier.
  • →You need teams, boards and multi-user collaboration features today.
  • →You want to run it yourself. Umami is MIT and self-hostable; Linqry is a hosted service only.
Choose Linqry if…
  • →You want an SEO auditor (crawler, per-page scores, broken-link checks) in the same tool as your analytics.
  • →You want revenue and conversion rate broken down by source, campaign, country, device, OS and browser on one page.
  • →You want per-visitor timelines with the attribution chain — referrer, UTMs, pages, events — on one screen.
Sources

Products change. If something here is out of date or wrong, please tell us and it will be corrected. Umami is a trademark of its respective owner and is not affiliated with Linqry.

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