Skip to content
testcritic

Statsig vs Split

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.

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

Paid tiers are quote-based, priced by monthly tracked keys.

Free tier

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

Free tier with limited monthly tracked keys.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptPythonJavaC#GoRubySwiftKotlin
JavaScriptTypeScriptPythonJavaC#GoRubyPHPSwiftKotlin

Platforms

WebAPIiOSAndroid
WebAPIiOSAndroid

Fits teams

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

Adoption

Widely used

Statsig (Amplitude) · since 2020

Established

Harness · since 2015

Strengths

  • 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.
  • Automatic metric impact on every flag catches regressions nobody thought to measure.
  • Guardrail alerts stop a bad rollout before it reaches everyone.
  • Strong data-platform integrations.

Limitations

  • 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.
  • Post-acquisition roadmap now sits inside Harness's broader platform strategy.
  • Requires meaningful event instrumentation before the impact analysis is useful.
  • Opaque enterprise pricing.

Best for

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

Teams that want every release measured, not just deliberate experiments.

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

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