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testcritic

Eppo vs GrowthBook

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

Quote on request

Quote only

From $40 per seat/month (cloud Pro, up to 30 users and 3 projects)

Free tier

What drives the bill

The metric that actually scales your invoice.

Quote-based, generally aimed at companies with a data team and a warehouse already in place.

Seat-based rather than usage-based, so cost tracks the number of people using the platform rather than your traffic — which is why it stays dramatically cheaper than the commercial platforms at scale, especially self-hosted.

Free tier

Free tier available for small teams.

Self-hosted open source is free with unlimited users on 1 project; the cloud Starter tier is free for up to 3 users.

Open source

MIT (core)

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptPythonJavaGoRuby
JavaScriptTypeScriptPythonJavaC#GoRubyPHPSwiftKotlin

Platforms

WebAPIiOSAndroid
WebAPIiOSAndroid

Fits teams

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

Adoption

Established

Eppo (Datadog) · since 2020

Widely used

GrowthBook · since 2021

Strengths

  • Statistically rigorous — sequential testing, CUPED and diagnostics are core, not add-ons.
  • Metrics defined once in the warehouse and reused across every experiment.
  • dbt integration fits existing analytics engineering workflows.
  • Warehouse-native by design — no duplicate event pipeline and no data leaving your control.
  • Self-hosting removes per-user-volume pricing entirely.
  • Both Bayesian and frequentist engines with sequential testing support.

Limitations

  • Requires a warehouse and a data team; not usable by a product manager alone.
  • Feature-flagging capability is lighter than dedicated flag platforms.
  • Now part of Datadog, which changes the strategic picture.
  • Requires a working data warehouse and someone who can define metrics in SQL.
  • Self-hosting is operational work you own.
  • Less polished governance and approval tooling than LaunchDarkly.

Best for

Data-mature organisations where experiment results must withstand scrutiny.

Data-mature teams that already have a warehouse and want to avoid volume-based pricing.

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

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