| Product | Ideal for | Price from | Free version | |
|---|---|---|---|---|
| Self-hosted analytics with full data ownership | See website | Yes | Visit | |
| Lightweight privacy-friendly analytics | See website | No | Visit | |
| Simple privacy-first analytics | See website | No | Visit | |
| Minimal analytics without cookies | See website | No | Visit | |
| Free open source web analytics | See website | Yes | Visit | |
| Real-time analytics with heatmaps | See website | Yes | Visit | |
| Automatic event capture analytics | See website | No | Visit | |
| Product analytics for apps and sites | See website | Yes | Visit |
We compared official feature pages, pricing pages, app store listings, privacy policies and public reviews to build this list for google analytics alternatives. Every option below exists and works today, and each one earns its place for a different kind of reader. Decide whether you need cookieless tracking, EU hosting, or deep funnel analysis, because no single tool is best at all three. Matomo leads this list because it handles self-hosted analytics with full data ownership well for the widest range of readers, but the right choice depends on your budget, your device and how much support you want.

Ideal for: Self-hosted analytics with full data ownership

Here is the short version. Matomo is built for readers who want self-hosted analytics with full data ownership, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is self-hosted free version. The price picture is see website, with a free plan status of yes. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is self-hosting needs technical setup. cloud version is paid If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Lightweight privacy-friendly analytics

Start here if you want the safe default. Plausible is built for readers who want lightweight privacy-friendly analytics, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is lightweight script. The price picture is see website, with a free plan status of no. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is fewer deep funnel features than Google Analytics. pageview limits apply If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Simple privacy-first analytics

This one suits a specific kind of reader. Fathom is built for readers who want simple privacy-first analytics, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is simple dashboard. The price picture is see website, with a free plan status of no. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is limited custom reporting. higher price per pageview than some rivals If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Minimal analytics without cookies
Consider this if the top picks do not fit. Simple Analytics is built for readers who want minimal analytics without cookies, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is no cookies or personal data collection. The price picture is see website, with a free plan status of no. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is basic feature set. not built for complex marketing analysis If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Free open source web analytics
A strong option for a narrower need. Umami is built for readers who want free open source web analytics, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is free and open source. The price picture is see website, with a free plan status of yes. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is self-hosting required for free use. fewer integrations If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Real-time analytics with heatmaps
Worth a close look before you decide. Clicky is built for readers who want real-time analytics with heatmaps, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is real-time reports. The price picture is see website, with a free plan status of yes. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is interface feels dated. free tier limits sites and pageviews If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Automatic event capture analytics
This belongs on the shortlist for a reason. Heap is built for readers who want automatic event capture analytics, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is auto-captures events without manual tagging. The price picture is see website, with a free plan status of no. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is pricing is quote based for larger volumes. learning curve for analysis If that trade-off is acceptable, this is a solid choice for its audience.

Ideal for: Product analytics for apps and sites
Do not overlook this one. Mixpanel is built for readers who want product analytics for apps and sites, and its published feature set matches that promise rather than trying to cover every possible use case at once. Its clearest strength is strong product and funnel analytics. The price picture is see website, with a free plan status of yes. Before you sign up, check the current plan limits on the official site, because caps on users, usage or features are where most buyers get surprised after the first month. The catch is overkill for a simple blog. event-based pricing can grow fast If that trade-off is acceptable, this is a solid choice for its audience.
We started from the topic itself and kept only products that exist and work today and truly fit it. For each one we checked the official homepage, the pricing page and the free tier, and we read app store listings, privacy policies and public reviews where they were relevant. Products with a homepage we could not verify were left out, and prices we could not verify are shown as See website rather than guessed. We favored a mix of well-known leaders and strong smaller options, and we weighed entry price, free tier, platform coverage and honest weaknesses. No product here paid for its place, and we did not claim hands-on testing we did not do. What follows is a comparison of published facts, so you can check any claim on the vendor site before you buy.
Start by naming the job you need done, then match it to one entry plan, not to a whole product family. Check which devices are supported, whether your data can be exported, and what happens when you cancel. A tool that locks your work inside its own format costs more to leave later, even when the monthly price looks low. Next, test the free tier or trial on a real task from your own week, and watch for the limit that bites first. That limit is usually a seat count, a usage cap or a feature held back for a higher tier. Fathom and Simple Analytics are worth comparing side by side here, because they serve different audiences at different prices, and the cheaper one is not always the weaker one for your case. Finally, read the renewal and cancellation terms before you enter payment details, and set a reminder to review the subscription after the first month. Many buyers keep paying for a tool they stopped opening, and a short review each quarter keeps the stack honest. If two options feel close, pick the one with clearer pricing and simpler cancellation.
For most readers it is Matomo, because it covers self-hosted analytics with full data ownership with a clear pricing page and broad support. Plausible is the best alternative when you need lightweight privacy-friendly analytics instead. Try the free tier or trial of both before you decide, since daily feel matters as much as the feature list.
Yes, several options here offer a free tier, including Matomo, Umami, Clicky. Free tiers usually limit seats, usage or advanced features, so check what is included before you rely on one for daily work.
Entry prices in this list run from free up to the higher tiers shown in the comparison table, and the real cost depends on seats, usage and add-ons. Matomo starts at see website, which is a fair benchmark for the group. Always confirm the current price on the official site, since vendors change plans during the year.
In most cases yes, but the effort depends on how much data you have stored and whether it exports cleanly. Before you commit, check export options and whether a trial lets you import your existing work. Keeping a backup outside the tool makes any future switch far easier.
Yes. Matomo offers a free self-hosted version, Umami is free and open source, and Plausible and Fathom offer trials. Free tiers usually limit sites or pageviews, so check the cap against your actual traffic.