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Matomo vs Plausible vs Umami vs Google Analytics

Shared dimensions

ToolEvaluation laneEvidence status
MatomoBroad self-hostable/open-core web analyticsPartial
PlausibleFocused web analytics with cloud/self-host pathsPartial
UmamiFocused self-hostable web analyticsPartial
Google AnalyticsManaged marketing analytics ecosystemPartial

Operator profiles

Plausible or Umami merit evaluation for simpler site measurement, Matomo for broader analytics needs with operational capacity, and Google Analytics where its ecosystem and governance fit are required. Privacy outcome depends on configuration, law, and data flows, not branding.

Task coverage

Candidates can augment acquisition, content, campaign, and conversion analysis. They do not establish marketing consent, explain visitor intent, or reconcile tours and memberships without governed data.

Human work remaining

People define measurement purpose, configure consent, validate events, investigate attribution, exclude internal traffic, interpret uncertainty, and approve campaign changes.

Technical difficulty

Managed services are low-to-moderate configuration. Self-hosted options add moderate infrastructure, database, scaling, patching, and backup work. Reliable event design is moderate for every option.

True-cost categories

Count hosting or subscription, traffic/data growth, implementation, consent tooling, tag governance, custom events, reporting, retention, privacy/legal review, support, monitoring, and migration. Exact prices and free limits are not established.

Portability

Retain event definitions, tag configuration, campaign conventions, custom dimensions, reports, raw or aggregate exports where available, consent records, and historical limitations. Test an exit before relying on long-term trend continuity.

Integrations and verification caveat

CMS, consent, advertising, tag-manager, API, ecommerce, and dashboard integrations are partial until edition, data direction, identifiers, retention, limits, and current official docs are verified.

Security

Minimize identifiers and event payloads, avoid secrets or form contents in URLs/events, restrict exports, define retention, review cross-border/processors, secure tags and admin accounts, and patch self-hosted services.

Licensing

Matomo is open-core, Plausible and Umami provide self-hostable source under current project terms, and Google Analytics is proprietary SaaS. Verify current licenses and cloud terms.

Maintenance

Maintain event specifications, consent behavior, domain filters, campaign naming, bot/internal traffic handling, retention, dashboards, upgrades, backups, and periodic data-quality checks.

Scenario recommendations

Pilot the minimum events needed for one decision, compare counts with server or booking evidence, test consent states and deletion, and choose the least data-intensive option that answers the question.

Do not use when

Do not collect data without a defined decision, send personal or sensitive member data in events, or compare tools on dashboard count while ignoring consent, retention, and data quality.

Verification

Verified on 2026-07-18. Privacy configuration, editions, prices, free limits, and integrations are partial or not established; obtain jurisdiction-specific advice where needed.

Official sources