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Analytics & BI

Amplitude Analytics vs Heap

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

A

Amplitude Analytics

4.0100 reviews

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.

Starting at ~$61/month (varies by MTUs/features)
H

Heap

4.0100 reviews

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.

Starting at Quote-based

Side-by-Side Comparison

FeatureAmplitude AnalyticsHeap
Pricing~$61/month (varies by MTUs/features)Quote-based
G2 Rating4.0 (100 reviews)4.0 (100 reviews)
Capterra Rating4.04.0
Best ForProduct-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 & 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