GrowthBook vs Eppo
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
From $40 per seat/month (cloud Pro, up to 30 users and 3 projects)
Free tierQuote on request
Quote onlyWhat drives the bill
The metric that actually scales your invoice.
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.
Quote-based, generally aimed at companies with a data team and a warehouse already in place.
Free tier
Self-hosted open source is free with unlimited users on 1 project; the cloud Starter tier is free for up to 3 users.
Free tier available for small teams.
Open source
MIT (core)
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
GrowthBook · since 2021
Established
Eppo (Datadog) · since 2020
Strengths
- 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.
- 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.
Limitations
- 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.
- 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.
Best for
Data-mature teams that already have a warehouse and want to avoid volume-based pricing.
Data-mature organisations where experiment results must withstand scrutiny.
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.