Statsig
Feature flags, experimentation and product analytics in one warehouse-friendly platform.
What it is
Statsig combines feature gates, experiments, dynamic config and product analytics, with a statistics engine built by ex-Facebook engineers that includes sequential testing and CUPED variance reduction. Warehouse-native mode runs the analysis inside your own Snowflake, BigQuery or Databricks so raw event data never leaves.
Best for
Where it is strong
- Statistics engine is genuinely strong — sequential testing and CUPED are not marketing veneer.
- Flags, experiments and analytics in one system removes a whole class of integration work.
- Warehouse-native mode satisfies data-governance requirements.
Where it falls short
- Event-based pricing can escalate sharply on high-volume products.
- Broad surface area means a real learning curve.
- Changed hands twice in under a year — OpenAI acqui-hired the founding team in September 2025, and Amplitude took over the product and brand in May 2026, so the roadmap is still settling.
Pricing
Free tier available
Free tierFree tier: Generous free tier including unlimited feature flags and a large monthly event allowance.
What drives the bill: One of the most generous free tiers in developer tooling; paid usage is billed on analytics events, not seats.
Check current pricing on Statsig (Amplitude)’s siteFigures are indicative and were last reviewed August 2026. Vendors change pricing often; confirm before you commit.
Works with
What people who use Statsig say
No reviews of Statsig yet. If you have used it in anger, yours would be the first.
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