Google Analytics 4 vs Heap
Which analytics & bi tool is right for you? Compare features, pricing, and user reviews to make the best choice.

Google Analytics 4
From FreeFree plan
G2 4.5 · 6,867 reviewsTeams that need free, scalable web/app analytics with strong Google Ads integration, event-based tracking, and flexible exploratory analysis—especially SMBs, product teams, and marketers operating in the Google ecosystem.
vs

Heap
From FreeFree plan
G2 4.4 · 1,097 reviewsProduct, growth, and analytics teams that want fast, low-instrumentation behavioral analytics for web and mobile apps, combining quantitative product analytics with session replay and strong data management.
Side by side
| Pricing | Free | Free; paid plans quote-based |
| G2 Rating | 4.5 (6,867 reviews) | 4.4 (1,097 reviews) |
| Best For | Teams that need free, scalable web/app analytics with strong Google Ads integration, event-based tracking, and flexible exploratory analysis—especially SMBs, product teams, and marketers operating in the Google ecosystem. | Product, growth, and analytics teams that want fast, low-instrumentation behavioral analytics for web and mobile apps, combining quantitative product analytics with session replay and strong data management. |
Pros and cons
Google Analytics 4
Pros
- Free tier is powerful and widely supported across the Google ecosystem
- Strong cross-device and cross-platform measurement approach (web + app)
- Flexible analysis via Explorations (funnels, paths, cohorts) without exporting data
- Native BigQuery export available for GA4 properties (useful for BI/warehouse workflows)
Cons
- Steeper learning curve vs Universal Analytics; reporting/navigation can feel less intuitive
- Sampling/thresholding and privacy modeling can limit granular reporting in some scenarios
- Advanced governance, SLAs, and enterprise features generally require GA360 (quote-based)
Heap
Pros
- Autocapture reduces engineering effort and speeds up analysis
- Powerful funnel/journey analysis for product and growth use cases
- Session replay helps diagnose UX issues and validate hypotheses
- Broad integration ecosystem for warehouses, CDPs, and BI tools
Cons
- Pricing is quote-based and can be difficult to estimate upfront
- Autocapture can create noisy datasets without strong governance
- Advanced setups (mobile, complex SPAs, governance) may require significant configuration
