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 onlyFrom $40 per seat/month (cloud Pro, up to 30 users and 3 projects)
Free tierWhat 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
Platforms
Fits teams
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.