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The Google Analytics alternatives worth considering

Cookieless, self-hosted and product-analytics options compared honestly — which fits which team, and the one migration rule that applies to all of them.

DA Orbit

Every list of Google Analytics alternatives is written by someone with a product to sell, and this one is no exception. What follows is honest about where each tool fits and where it does not, because a recommendation that only ever points one way is worth nothing.

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The short version: pick a cookieless tool if the consent banner is costing you data, pick a self-hosted one if data ownership is a hard requirement, and pick a product-analytics platform if you need session replay and experiments. Most teams leaving GA4 want the first.

Why teams leave GA4 at all

Three reasons, in roughly the order people hit them:

  • The consent banner. GA4 sets identifiers, so in the EU and UK it needs a banner. Everyone who clicks "reject" is never measured, and a technical or EU-heavy audience can hide a large share of real sessions. See why your analytics undercounts traffic .
  • The interface. GA4 replaced a familiar report layout with an exploration model that takes real time to learn.
  • Where the data goes. A legal or procurement review asks where visitor data is processed, and the honest answer sends people looking.

Cookieless, no-banner analytics

The largest category, and the right fit for most GA4 refugees. No cookies, no browser storage, no banner, a small script.

Quantalog

Cookieless real-time analytics with SEO audits, funnels, retention cohorts and scheduled email and WhatsApp reports in one dashboard, plus a multi-tenant API for agencies and platforms that want to give analytics to their own customers. Free to 10k pageviews a month. It does not do ad-platform attribution or session replay. Full comparison against Google Analytics .

Plausible

The best-known name in the category. A deliberately simple single-page dashboard, open source, self-hostable. If you want the least product that still answers "how much traffic and from where", this is it. Where Quantalog and Plausible differ .

Fathom Analytics

A mature, focused tool with a long track record and an EU-isolated data option. Paid only, no free tier. Quantalog vs Fathom .

Simple Analytics

Privacy-first, EU-hosted, a deliberately minimal dashboard. Paid only. The right pick if EU-only data hosting is a hard requirement. Quantalog vs Simple Analytics .

Cloudflare Web Analytics

Free, zero-configuration, privacy-first. A pageview and referrer counter with no custom events, funnels or real-time data. Easiest if your site is already behind Cloudflare. Quantalog vs Cloudflare Web Analytics .

Self-hosted, full data ownership

Pick one of these when the database has to live on your own infrastructure and you are willing to run it.

Matomo

The most complete open-source analytics suite there is — heatmaps, session recording, A/B testing and tag management under one roof. That breadth is also the reason teams look elsewhere: it is a lot to run and keep upgraded. A hosted Cloud plan exists. Quantalog vs Matomo.

Umami

MIT-licensed, lightweight, cookieless, well-liked. Needs a Node host and a Postgres or MySQL database, or pay Umami Cloud to host it. Quantalog vs Umami.

Product analytics platforms

PostHog

Session replay, feature flags, experiments and a SQL data warehouse alongside the analytics. The right choice if you use those; more than you need if you adopted it for pageviews and funnels. It sets cookies by default, so a consent banner generally applies. Quantalog vs PostHog.

How to choose in one paragraph

If the banner is the problem and you want more than a counter, look at Quantalog. If you want the simplest possible dashboard, Plausible or Fathom. If your site is already on Cloudflare and pageviews are enough, their free tool. If the data must be on your servers, Matomo or Umami. If you need replay and experiments, PostHog. Whatever you pick, run it alongside GA4 for one full reporting cycle before you switch anything off — the numbers will not match, and you need to know by how much.

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The migration guide

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