Product Analytics
PostHog and Heap both show up under the product analytics category, but they solve slightly different jobs. PostHog uses usage-based pricing with free tier, while Heap runs on subscription from $1.7. Lock-in is low for PostHog and medium for Heap. Transparency lands at 5/5 versus 3/5. PostHog fits teams working on want analytics + feature flags + session replay in one, while Heap is a closer match when the job is understanding user behavior (funnels, retention). Worth noting: PostHog is explicitly not for enterprise needing dedicated support; Heap is explicitly not for simple projects. The honest trade-off: PostHog trades off on enterprise needing dedicated support — Amplitude is more enterprise; Heap trades off on pre-product stage. On the plus side, PostHog highlights analytics + feature flags + session replay in one, while Heap points to understanding user behavior (funnels, retention). PostHog's documentation also calls out open-source with self-hosted option. Heap similarly notes data-driven product decisions.
Quick take
PostHog is for want analytics + feature flags +; Heap is for understanding user behavior (funnels, retention); decide on pricing model.
| | | |
|---|---|---|
| Category | Product Analytics | Product Analytics |
| Pricing Model | usage | subscription |
| Entry Price | Usage-based, price decreases at scale | $1.7 |
| Free Tier | Yes | No |
| Billing Complexity | low | — |
| Developer Experience | 5/5 | 4/5 |
| Pricing Transparency | 5/5 | 3/5 |
| Lock-in Level | low | medium |
| Migration Complexity | low | medium |
| Data Portability | Full — raw SQL access, self-hosted | API export |
| Enterprise | Available | Available |
| GitHub Stars | — | — |
| License | — | — |
Low — open-source, self-hosted, raw data access via data warehouse
Migration difficulty: low
Data you keep: Full — raw SQL access, self-hosted
API standard: Open-source, standard events
Risk notes: Low — open-source, self-hosted, raw data access via data warehouse
💡 Standard protocols make switching straightforward
Medium — autocapture = proprietary format
Migration difficulty: medium
Data you keep: API export
API standard: Proprietary
Risk notes: Medium — autocapture = proprietary format
💡 Moderate effort required. Export data before canceling
Choose PostHog if your project is want analytics + feature flags + session replay in one, usage-based billing at Usage-based, price decreases at scale matches your volume, you want to keep future migration cheap.
Not for: Enterprise needing dedicated support
Choose Heap if your project is understanding user behavior (funnels, retention), a subscription starting at $1.7 fits your budget, medium lock-in is an acceptable trade-off.
Not for: Simple projects
Check each tool's dedicated page for deeper reviews, setup notes, and pros/cons.
PostHog uses usage-based pricing with free tier, and Heap uses subscription from $1.7. The pricing models are different, so a direct cheaper-than comparison depends on your volume and usage pattern. PostHog offers a free tier; Heap does not.
Our data puts PostHog at low lock-in (open-source, self-hosted, raw data access via data warehouse), and Heap at medium lock-in (autocapture = proprietary format). Moving from PostHog to Heap should be manageable, though you'll still need to replay integrations and re-test flows end-to-end.
PostHog scores 5/5 on developer experience in our data, while Heap scores 4/5, so PostHog has the edge on docs and SDK quality by that measure. That gap is reinforced by transparency scores of 5/5 versus 3/5. Still, run a small integration spike on both before deciding — team familiarity with a given SDK style often matters more than a one-point score gap.
Heap is a reasonable alternative to PostHog when your workload leans more toward understanding user behavior (funnels, retention) than want analytics + feature flags + session replay in one. The pricing model shifts too — PostHog is usage-based pricing with free tier, Heap is subscription from $1.7 — so expect the cost profile to change as well. One caveat: Heap is explicitly not for simple projects, so check that constraint against your use-case before switching.
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