GrowthBook alternatives

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

GrowthBook Statsig Datadog Experiments (formerly Eppo) Unleash
Vendor GrowthBook Statsig Datadog Unleash
Pricing model Free tier + paid plans Free tier + paid plans Quote only Free tier + paid plans
Free tier Yes Yes — Yes
Deployment Cloud, Self-hosted Cloud Cloud Cloud, Self-hosted
Open source Yes (MIT) No No Yes (AGPL-3.0)
Best for Teams wanting warehouse-native, open-source experimentation with a choice of statistical engine. Teams wanting a choice of rigorous statistical methods (sequential, SPRT, Bayesian) with automatic variance reduction. Teams already on or evaluating Datadog that want warehouse-native experimentation with strong CUPED support. Engineering teams wanting an open-source flagging system with basic rollout experimentation, self-hostable under AGPLv3.
Pricing

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.

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.

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 self-hosted open source (1 project, 2 environments, 5,000 flags); Pay-As-You-Go cloud is $75/seat/month; Enterprise is custom.

Open Source $0
Pay-As-You-Go $75/seat/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
  • 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
  • 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
  • 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 with targeting rules and gradual rollouts
  • Rollout-based experimentation on flagged traffic
  • 25+ official SDKs
  • Self-hosted (AGPLv3) or managed cloud
  • Multi-region edge and private-instance add-ons
  • Unlimited flags, projects, and experiments on paid plans

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