Statsig alternatives

3 tools to consider instead of Statsig, shown against it.

Statsig GrowthBook Datadog Experiments (formerly Eppo) LaunchDarkly
Vendor Statsig GrowthBook Datadog LaunchDarkly
Pricing model Free tier + paid plans Free tier + paid plans Quote only Subscription
Free tier Yes Yes — Yes
Deployment Cloud Cloud, Self-hosted Cloud Cloud
Open source No Yes (MIT) No No
Best for Teams wanting a choice of rigorous statistical methods (sequential, SPRT, Bayesian) with automatic variance reduction. Teams wanting warehouse-native, open-source experimentation with a choice of statistical engine. Teams already on or evaluating Datadog that want warehouse-native experimentation with strong CUPED support. Engineering teams that want feature-flag-driven releases with built-in experiment analysis on the same flags.
Pricing

Free Developer plan with 2M events/month; Pro is $150/month with 5M events included; Enterprise is custom, event- or experiment-based.

Developer $0/month
Pro $150/month
Enterprise custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free self-hosted open source, or free Starter cloud plan (3 users); paid Cloud Pro is $40/seat/month; Enterprise is custom for cloud or self-hosted.

Starter (Cloud) $0
Pro (Cloud) $40/seat/month
Open Source (self-hosted) $0
Enterprise custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Sold under Datadog's usage-based pricing; specific experimentation rates were not shown on the product page.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Free Developer plan with 100K experimentation MAU/month; paid Foundation plan bills per service connection and per 1K client-side MAU; Enterprise is custom.

Developer $0/month
Foundation $10 per service connection/month + $8.33 per 1K client-side MAU/month
Enterprise custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • Feature flags and dynamic configs
  • Default mSPRT sequential testing (always-valid confidence intervals)
  • Dedicated SPRT mode for unlimited peeking
  • Bayesian mode (chance-to-beat, expected loss)
  • Automatic CUPED variance reduction with stratification
  • Optional warehouse-native deployment
  • Warehouse-native experiment analysis (Snowflake, BigQuery, etc.)
  • Choice of Bayesian or frequentist statistical engine
  • Sequential testing in the frequentist engine
  • CUPED variance reduction on both engines
  • Feature flagging with targeting rules
  • Sample ratio mismatch and data-quality checks
  • Self-hosted (MIT license) or managed cloud
  • Warehouse-native experiment analysis
  • Sequential, fixed-sample frequentist, and Bayesian analysis
  • CUPED++ variance reduction with configurable lookback window
  • Automated guardrails (sample ratio mismatch, traffic imbalance detection)
  • Feature flagging
  • Integration with Datadog observability (latency, errors, crashes) alongside experiment results
  • Feature flags across server, client, and mobile SDKs
  • Progressive rollouts, targeting rules, and kill switches
  • Experimentation with a choice of frequentist or Bayesian analysis
  • Sequential analysis for continuous monitoring
  • Guardian add-on for automatic rollback on regressions
  • Audit logs and RBAC for release governance

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