Amplitude vs Heap: Which Is Better in 2026?

A detailed comparison to help you choose the right analytics tool for your needs.

Our Pick: Amplitude (by a slight margin)

Amplitude edges out with a slightly higher rating (8.5 vs 8)

Quick Comparison

Aspect
A
Amplitude(Winner)
H
Heap
Overall Rating
8.5/10
8/10
Starting Price
$49/mo
Free
Free Plan
Free Trial
Best For
large
medium
Ease of Use
7/10
8/10
Features
10/10
9/10
Value for Money
6/10
7/10
Support
8/10
7/10

Overview

Amplitude is an enterprise-grade product analytics platform known for behavioral analytics, experimentation, and customer data platform capabilities.

Heap automatically captures all user interactions without manual event tracking. Great for retroactive analysis and teams wanting comprehensive behavioral data.

Pricing Comparison

Better value: Heap
A

Amplitude

Pricing ModelFreemium
Starting Price$49/mo
Free Trial
Free Tier
H

Heap

Better Value
Pricing ModelFreemium
Starting PriceFree
Free Trial
Free Tier

Features Comparison

Winner: Heap
FeatureAmplitudeHeap
Web Analytics
Product Analytics
Heatmaps
Session Recording
Funnel Analysis
Privacy Focused
Real Time
Ab Testing
Data Retention
Varies by plan
Varies
Custom Events
Auto-captured

0

features unique to Amplitude

2

features unique to Heap

Pros & Cons

A

Amplitude

Pros

  • Most powerful product analytics
  • Excellent cohort analysis
  • Built-in experimentation
  • Great for B2C apps
  • Generous free tier

Cons

  • Complex for small teams
  • Expensive at scale
  • Requires technical setup
  • Can be overkill
H

Heap

Pros

  • Auto-captures all events
  • Retroactive analysis possible
  • Session replay included
  • Good free tier
  • Easy implementation

Cons

  • Can be expensive at scale
  • Data can be overwhelming
  • Requires data governance
  • Some features need setup

The Verdict: Amplitude Edges Out

This was a close comparison, but Amplitude edges out Heap with a slightly higher overall rating of 8.5/10 versus 8/10. Both are solid choices, but Amplitude offers a marginally better overall package.

Amplitude's advantages include Most powerful product analytics and Excellent cohort analysis, though Heap counters with Auto-captures all events and Retroactive analysis possible.

Our recommendation: We give the slight edge to Amplitude, but don't count out Heap if its specific strengths align better with your needs.

Choose Amplitude if you...

  • • Need product-led growth companies
  • • Need b2c mobile and web apps
  • • Need enterprise product teams

Choose Heap if you...

  • • Need teams wanting complete data
  • • Need retroactive analysis needs
  • • Need product experimentation

Ready to Get Started?

* We may earn an affiliate commission when you visit these tools through our links. This doesn't affect our ratings or comparisons.

Amplitude vs Heap FAQ

Based on our evaluation, Amplitude has a slight edge with an overall rating of 8.5/10. However, the best choice depends on your specific needs and use case.
Yes, Heap is more affordable with plans starting at $0/month, compared to $49/month for the other.
Heap scores higher in ease of use (8/10) compared to Amplitude (7/10).
Yes, migration between Amplitude and Heap is possible. Most tools offer data export features. Check each tool's documentation for specific migration guides and import capabilities.
Both tools can work for small teams. Amplitude is best for large teams while Heap suits medium teams.
For startups, consider your growth trajectory. Amplitude offers a free tier which is great for bootstrapped startups.
Yes, each tool has unique strengths. Amplitude excels at: Product-led growth companies, B2C mobile and web apps. Heap is better for: Teams wanting complete data, Retroactive analysis needs. Review our detailed feature comparison above.
Amplitude rates higher in customer support (8/10) compared to Heap (7/10).
Heap offers better value for money with a rating of 7/10 compared to Amplitude's 6/10.
Consider switching if Heap's strengths (Teams wanting complete data) align better with your current needs. However, factor in migration effort and learning curve before making the switch.