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

Amplitude Analytics
From FreeFree plan
G2 4.5 · 2,992 reviewsProduct-led companies and digital teams (Product, Growth, Analytics) that need self-serve product analytics to understand user behavior, improve activation/retention, and measure feature and experiment impact across web and mobile apps.
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; Plus from $0 (usage-based) | Free; paid plans quote-based |
| G2 Rating | 4.5 (2,992 reviews) | 4.4 (1,097 reviews) |
| Best For | Product-led companies and digital teams (Product, Growth, Analytics) that need self-serve product analytics to understand user behavior, improve activation/retention, and measure feature and experiment impact across web and mobile apps. | 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
Amplitude Analytics
Pros
- Strong event-based product analytics for funnels, retention, and cohorts
- Good self-serve exploration for non-technical stakeholders
- Scales from startup to enterprise with governance and permissions
- Broad ecosystem/integrations for data pipelines and warehouses
Cons
- Costs can rise quickly as MTUs, events, or add-ons increase
- Requires upfront instrumentation and event taxonomy discipline to get reliable insights
- Advanced analysis and governance features may be gated behind higher tiers
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
