PostHog vs Heap: Which Tool Is Best?
PostHog
Open-source product analytics suite with session recording, feature flags, A/B testing, and event pipelines.
Heap
Autocapture analytics that retroactively tracks every user interaction without manual event instrumentation.
Feature Comparison
| Feature | PostHog | Heap |
|---|---|---|
| Product analytics | ✓ | ✗ |
| Session recording | ✓ | ✗ |
| Feature flags | ✓ | ✗ |
| A/B testing | ✓ | ✗ |
| Event pipelines | ✓ | ✗ |
| Autocapture tracking | ✗ | ✓ |
| Retroactive event analysis | ✗ | ✓ |
| Session replay | ✗ | ✓ |
| Journey maps | ✗ | ✓ |
| Revenue attribution | ✗ | ✓ |
Pricing & Model
| PostHog | Heap | |
|---|---|---|
| Starting Price | $0/mo | $0/mo |
| Monetization | Freemium | Subscription |
| Category | Analytics | Analytics |
| Target Audience | Developer-first product teams who want open-source observability | Product managers who need insights without engineering dependency |
Which Should You Choose?
PostHog is best for developer-first product teams who want open-source observability, with its standout strength being open-source, self-hostable with full suite of tools.
Heap excels for product managers who need insights without engineering dependency, thanks to retroactive data — define events after they happen.
The right choice depends on your team size, budget, technical requirements, and whether you prioritize open-source, self-hostable with full suite of tools or retroactive data — define events after they happen. Many organizations use both tools in complementary workflows.
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