Product Analytics
Amplitude and PostHog both show up under the product analytics category, but they solve slightly different jobs. Amplitude uses pricing that starts at $61/mo (Plus) with free tier, while PostHog runs on usage-based pricing with free tier. Lock-in is medium for Amplitude and low for PostHog. Transparency lands at 4/5 versus 5/5. Amplitude fits teams working on enterprise product analytics with advanced cohorts, while PostHog is a closer match when the job is want analytics + feature flags + session replay in one. Worth noting: Amplitude is explicitly not for startup with <1K users; PostHog is explicitly not for enterprise needing dedicated support. The honest trade-off: Amplitude trades off on startup with <1K users — PostHog free tier is more generous; PostHog trades off on enterprise needing dedicated support — Amplitude is more enterprise. On the plus side, Amplitude highlights enterprise product analytics with advanced cohorts, while PostHog points to analytics + feature flags + session replay in one.
Quick take
Amplitude is for enterprise product analytics with advanced cohorts; PostHog is for want analytics + feature flags +; decide on pricing model.
 Amplitude | | |
|---|---|---|
| Category | Product Analytics | Product Analytics |
| Pricing Model | freemium | usage |
| Entry Price | $61/mo (Plus) | Usage-based, price decreases at scale |
| Free Tier | Yes | Yes |
| Billing Complexity | medium | low |
| Developer Experience | 5/5 | 5/5 |
| Pricing Transparency | 4/5 | 5/5 |
| Lock-in Level | medium | low |
| Migration Complexity | medium | low |
| Data Portability | Warehouse export, API | Full — raw SQL access, self-hosted |
| Enterprise | Available | Available |
| GitHub Stars | 324 | — |
| License | MIT | — |
Medium — proprietary data model, warehouse-native reduces lock-in
Migration difficulty: medium
Data you keep: Warehouse export, API
API standard: Proprietary
Risk notes: Medium — proprietary data model, warehouse-native reduces lock-in
💡 Moderate effort required. Export data before canceling
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
Choose Amplitude if your project is enterprise product analytics with advanced cohorts, medium lock-in is an acceptable trade-off.
Not for: Startup with <1K users
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
Check each tool's dedicated page for deeper reviews, setup notes, and pros/cons.
Amplitude uses pricing that starts at $61/mo (Plus) with free tier, and PostHog uses usage-based pricing with free tier. The pricing models are different, so a direct cheaper-than comparison depends on your volume and usage pattern.
Our data puts Amplitude at medium lock-in (proprietary data model, warehouse-native reduces lock-in), and PostHog at low lock-in (open-source, self-hosted, raw data access via data warehouse). Migration is feasible but not trivial — budget time for re-integration, data export, and parallel running before cutover.
Both score 5/5 on developer experience in our data, so there's no clear winner on that axis. PostHog does edge ahead on pricing/docs transparency (5/5 vs 4/5), which can make evaluation faster.
PostHog is a reasonable alternative to Amplitude when your workload leans more toward want analytics + feature flags + session replay in one than enterprise. The pricing model shifts too — Amplitude is pricing that starts at $61/mo (Plus) with free tier, PostHog is usage-based pricing with free tier — so expect the cost profile to change as well. One caveat: PostHog is explicitly not for enterprise needing dedicated support, so check that constraint against your use-case before switching.
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