PostHog vs Heap
A detailed comparison to help you choose between PostHog and Heap.
PostHog Product analytics platform with built-in session replay and feature flags | Heap Capture every user interaction automatically without code changes | |
|---|---|---|
| Rating | 4.0 (488 reviews) | 4.7 (157 reviews) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Product and engineering teams at growth-stage companies who need comprehensive behavioral analytics and feature management with data ownership. | Product and UX teams that prioritize speed of insight over engineering resources for implementation. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tieropen sourceapi access | free tierteam featuresapi access |
| Visit PostHog → | Visit Heap → |
PostHog
Pros
- + Consolidate multiple tools—analytics, replay, flags, and experiments—into single platform
- + Self-host on your infrastructure for full data control and privacy compliance
- + Access raw event data and SQL queries for custom analysis
- + No sampling on higher plans, capturing all user sessions
Cons
- - Steeper learning curve and more configuration required than lightweight analytics tools
- - Self-hosting requires DevOps resources; managed cloud pricing scales quickly with volume
Heap
Pros
- + Capture behavior automatically without code changes
- + Analyze historical data with retroactive event creation
- + Debug user issues directly with session replay
- + Support for web, iOS, and Android apps
Cons
- - Higher costs at scale due to auto-capture overhead
- - Can generate large volumes of low-signal data requiring filtering
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