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Analytics comparison · 2026
Umami edges out Heap in this Analytics comparison, scoring 75 against 67 across our seven scored dimensions. Umami leads on Self-Hostable (100 vs 0), while Heap has the edge on Integrations (78 vs 40). The two are closest on Data Accuracy, where the gap is just 0 points. Both offer a free tier, making either a low-risk starting point. Use the radar chart and dimension table below to find which fits your specific priorities best.
Umami
Lightweight, open-source, self-hosted alternative
75/100
Heap
Auto-capture every user interaction without tagging
67/100
Radar comparison
Umami
75
Heap
67
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
Umami
Pros
Cons
Heap
Pros
Cons
Choose Umami if you value self-hostable most and want a free entry point. Choose Heap if you value product analytics most and want a free entry point. If neither dimension is a clear priority, Umami's higher overall score (75/100) makes it the safer default in the analytics category.
Based on our independent scoring across 7 dimensions, Umami scores 75/100 overall versus Heap's 67/100 — a 8-point margin. Umami leads on Self-Hostable 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.
Both Umami and Heap offer a free tier, so entry-level cost is not a differentiating factor. Compare the feature and usage limits of each free plan to see which gives you more headroom before a paid upgrade is needed.
Umami scores higher on Self-Hostable — 100/100 versus 0/100 for Heap. If self-hostable is your primary decision criterion, Umami 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 Umami, re-importing or reconfiguring in Heap, 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 Heap on a non-production project first before migrating.
Umami (75/100) is the better fit for teams who prioritise self-hostable — its strongest dimension — and who want a free entry point. Heap (67/100) is the better fit for teams who prioritise product analytics and want a free entry point. If both dimensions matter equally, the overall score winner (Umami) is the safer default choice.
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