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Analytics comparison · 2026
Matomo edges out Heap in this Analytics comparison, scoring 78 against 67 across our seven scored dimensions. Heap leads on Product Analytics (85 vs 68), while Matomo has the edge on Self-Hostable (100 vs 0). The two are closest on Data Accuracy, where the gap is just 3 points. On pricing, Heap starts cheaper at $0/mo versus $23/mo. Use the radar chart and dimension table below to find which fits your specific priorities best.
Heap
Auto-capture every user interaction without tagging
67/100
Matomo
Open-source, self-hosted, GDPR-compliant alternative
78/100
Radar comparison
Heap
67
Matomo
78
Ease of Use
Dashboard clarity, setup time, learning curve
Privacy
GDPR compliance, cookieless tracking, data residency
Product Analytics
Funnels, cohorts, session replays, events
Price/Value
Free tier, pricing per event or pageview
Integrations
Google Ads, Search Console, CRM, warehouse
Data Accuracy
Sampling, ad-blocker resistance, real-time reporting
Self-Hostable
Option to run on your own infrastructure
Overall Score
Heap
Pros
Cons
Matomo
Pros
Cons
Choose Heap if you value product analytics most and want a free entry point. Choose Matomo if you value self-hostable most and have budget for $23/month or more. If neither dimension is a clear priority, Matomo's higher overall score (78/100) makes it the safer default in the analytics category.
Based on our independent scoring across 7 dimensions, Matomo scores 78/100 overall versus Heap's 67/100 — a 11-point margin. Matomo leads on Product Analytics in particular. That said, Heap may still be the right choice if the dimensions where it scores higher match your specific priorities — the radar chart above shows the full profile side by side.
Heap is cheaper at the entry level — it offers a permanent free tier, while Matomo starts at $23/month. If budget is the primary constraint, Heap is the lower-risk starting point. Matomo's paid features may justify the cost — compare the plan limits before committing.
Heap scores higher on Product Analytics — 85/100 versus 68/100 for Matomo. If product analytics is your primary decision criterion, Heap is the stronger choice in this head-to-head.
Switching between analytics tools is generally possible but involves migration effort: exporting your data or configuration from Heap, re-importing or reconfiguring in Matomo, and updating any API integrations or environment variables in your codebase. The effort scales with how deeply embedded the tool is in your stack. Test Matomo on a non-production project first before migrating.
Heap (67/100) is the better fit for teams who prioritise product analytics — its strongest dimension — and who want a free entry point. Matomo (78/100) is the better fit for teams who prioritise self-hostable and want a free entry point. If both dimensions matter equally, the overall score winner (Matomo) is the safer default choice.
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