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testcritic

Amplitude vs Statsig

Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.

Entry price

Free tier available

Free tier

Free tier available

Free tier

What drives the bill

The metric that actually scales your invoice.

Paid plans are quote-based on monthly tracked users and events; enterprise contracts are substantial.

One of the most generous free tiers in developer tooling; paid usage is billed on analytics events, not seats.

Free tier

Free plan with a monthly event allowance suitable for early-stage products.

Generous free tier including unlimited feature flags and a large monthly event allowance.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptPythonJavaSwiftKotlinGo
JavaScriptTypeScriptPythonJavaC#GoRubySwiftKotlin

Platforms

WebAPIiOSAndroid
WebAPIiOSAndroid

Fits teams

StartupScale-up / mid-marketEnterprise
StartupScale-up / mid-marketEnterprise

Adoption

Category standard

Amplitude · since 2012

Widely used

Statsig (Amplitude) · since 2020

Strengths

  • The deepest retention and cohort analysis in mainstream product analytics.
  • Good free tier for early-stage products.
  • Strong data-governance tooling for event taxonomy.
  • 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.

Limitations

  • Requires deliberate event instrumentation — nothing works without it.
  • Enterprise pricing rises steeply with tracked users.
  • Replay and experimentation are newer and less mature than the analytics core.
  • 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.

Best for

Product teams that need rigorous behavioural analysis over time.

Product teams that want experimentation and analytics to share one source of truth.

All of these integrate with: Segment, Snowflake, Slack.

Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.