Google Analytics is the default way the web measures itself, and the free tier is genuinely powerful. The cost shows up somewhere other than the invoice. Your visitors' behavior lives on Google's servers and feeds an advertising business, which is what puts a cookie banner on every page, and once traffic gets serious the reports quietly start sampling, so the numbers you act on become estimates rather than counts. The open source tools here keep measurement on infrastructure you run: pageviews and events land in a database you own, several of them track visits without cookies at all, and because you hold the raw hits your totals stay exact no matter how large the site grows.
Umami is a simple, fast, privacy-focused web analytics platform and an open source alternative to Google Analytics, Mixpanel, and Amplitude. It tracks site traffic without cookies, so there is no cookie banner to add, and the dashboard stays clean and easy to read.
PostHog is an open source, all-in-one platform for building products. It brings product analytics, web analytics, session replay, error tracking, feature flags, experiments, surveys, a data warehouse, data pipelines, AI observability, and workflows together in one stack.
Plausible Analytics tracks website traffic, goals, and conversions without cookies or persistent identifiers. It measures traffic rather than individuals, stores no personal data or IP addresses, and is compliant with GDPR, CCPA, and PECR. All key insights sit on a single page with no menus to navigate.
Matomo is a free/libre web analytics platform for tracking websites and apps. It positions itself as the leading open-source alternative to Google Analytics, with full data ownership and privacy built in, and is already used on more than a million websites.
Rybbit is open source web and product analytics that tracks site and product usage without cookies, a privacy-friendly alternative to Google Analytics that takes a couple of minutes to set up. The dashboard covers the core metrics: sessions, unique users, pageviews, bounce rate, and session duration.
OpenPanel is an open-source web and product analytics platform that combines the power of Mixpanel with the ease of Plausible, positioned as an alternative to Mixpanel and Google Analytics. It brings analytics, alerts, and dashboards into one place, with optional self-hosting.
GoatCounter is an open source web analytics platform available as a free hosted service or a self-hosted app. It gives site owners meaningful, privacy-friendly traffic statistics without tracking visitors through unique identifiers, and it is lightweight enough to add only about 3.5K to a page.
Ackee is a self-hosted analytics tool for websites that runs on your own server. It analyzes traffic and provides statistics in a minimal interface for people who do not want a full marketing analytics platform or unique-user tracking. Tracked data is kept anonymized, and no cookies are required.
Swetrix is a privacy-focused, cookieless web analytics platform that tracks site traffic while storing all data anonymized. It is GDPR-compliant by design, uses no cross-device tracking, and gives a real-time dashboard with no sampling.
The right tool depends on whether you need a traffic counter, conversion tracking, or a full product-analytics stack.
Best simple, cookie-free swap: Umami Umami is the easiest way to retire both Google Analytics and the cookie banner at once: it tracks traffic without cookies, presents it on a single fast dashboard, and installs from a Docker image over a PostgreSQL database. It is MIT-licensed and runs self-hosted or on Umami Cloud, so every visitor record stays in a database you own.
Best privacy analytics with conversions: Plausible Analytics Plausible keeps the lightweight, cookie-free approach but adds goals, funnels, and revenue attribution, plus SPA support and weekly email or Slack reports. Its managed cloud processes data on EU infrastructure, and the self-hosted Community Edition is free, so you can start hosted and move in-house later without changing tools.
Closest to Google Analytics feature for feature: Matomo Matomo sits closest to Google Analytics' full report set, with real-time analytics, a customizable dashboard, e-commerce and goal tracking, campaign reports, and an analytics API. It installs on ordinary PHP and MySQL hosting, keeps data in your own database, and offers a hosted cloud option for teams that would rather not self-host.
Best for product analytics beyond pageviews: PostHog PostHog goes well past pageviews into product analytics, pairing autocaptured events with session replay, error tracking, feature flags, experiments, and data pipelines. Its web-analytics view still gives a GA-like traffic dashboard, and you can run it on PostHog Cloud or self-host a hobby deployment with Docker for smaller volumes.
Google Analytics is really several products wearing one name: a traffic counter, an event and conversion model, and a bridge into Google's advertising stack. Which of those you depend on decides your replacement. If you mostly want to know how many people visited and where they came from, a lightweight, cookie-free tracker like Umami or Plausible covers it and retires the consent banner at once. If you live in events, funnels, and retention, a product-analytics tool such as PostHog fits better, while Matomo sits closest to Google Analytics' full report set for a near like-for-like dashboard.
Expect the numbers to move and some ecosystem convenience to disappear. Session rules, bot filtering, ad-blocker behavior, consent handling, and time-zone logic all differ, so daily totals will not match Google Analytics exactly; the useful comparison is trend direction, not identical counts. You also give up modeled conversions, audience sync, and the advertising-attribution workflow that came from living inside Google's stack. In return you get exact rather than sampled totals and direct access to the raw data, and several of these tools, including Umami, Plausible, and GoatCounter, measure visits without cookies at all, which removes the banner instead of managing it.
Treat the move as an export-and-re-instrument project, not a data transfer. Pull historical reports from the Google Analytics interface or API, plus a warehouse export if your property already sends data there, but accept that this history becomes reference data in dashboards rather than native history in the new tool. Recreate your events, conversions, custom dimensions, UTM handling, and internal-traffic filters before cutover, then run both systems in parallel long enough to compare trends. Cleanup usually takes longer than the install, because old tags, duplicate events, and inconsistent naming are what distort the new baseline.
Often, yes. Umami, Plausible, GoatCounter, Ackee, and Swetrix track visits without cookies or persistent identifiers, which can remove the consent banner entirely rather than just managing it. The caveat is that a banner is driven by what you collect, not the brand of tool, so still confirm whether IP addresses, device identifiers, or user IDs are stored, shortened, or avoided, and document those choices.
Do not expect exact parity. Trackers differ in how they define sessions, handle returning visitors, filter bots, treat consent denial, count blocked scripts, and assign time zones, so daily totals will move. The useful comparison is trend direction, not identical numbers. Run both systems together for a few weeks, annotate the known differences, and reset stakeholder expectations before you retire the old reports.
Aggregates yes, per-visit history mostly no. You can export reports and API data, and a warehouse export if the property was configured for it, but that rarely gives a replayable event stream for every historical visit. Plan to preserve the high-value summaries - traffic by channel, top landing pages, conversions, ecommerce totals - as reference data, and start fresh for user-level journeys in the new tool.
For an event-first setup, PostHog and OpenPanel center on custom events, funnels, cohorts, and session replay, and Rybbit takes a similar product-analytics angle. If you want conversion goals and revenue without a full product-analytics stack, Plausible covers goals and revenue attribution, and Matomo has goal and e-commerce tracking. Map your existing GA4 events and conversions before choosing, so the new schema is deliberate rather than copied.
The biggest gaps are advertising attribution, audience sync, modeled conversions, and campaign-reporting workflows that depended on Google's ecosystem. UTM parameters still work, so channel and campaign reporting survives, but the tool will not explain paid-traffic performance the same way. Before switching, identify which marketing reports actually drive budget decisions and confirm the replacement can rebuild them with definitions you trust.
Yes, and unlike the standard Google Analytics reports, these give exact counts rather than sampled estimates. Architecture matters at scale: Plausible, PostHog, OpenPanel, and Swetrix use ClickHouse for high-volume event storage, while Umami and GoatCounter run on PostgreSQL. Raw event storage grows quickly, especially with user-level data, so test with production-like traffic and decide up front what to keep queryable versus roll into summaries.
Either works. Self-host when data location, network isolation, or custom retention are hard requirements and you are comfortable running databases, TLS, backups, and upgrades. Or use a managed instance of the same open source product - Plausible, Umami, Matomo, and PostHog all offer cloud hosting, several on EU infrastructure - when you want the ownership benefits without operating the stack. The responsibility differs even when the software does not.
