Eppo vs AB Tasty
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 onlyQuote on request
Quote onlyWhat 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.
Quote-based annual contracts priced by traffic volume, now sold as part of the merged Wingify platform.
Free tier
Free tier available for small teams.
No free tier; demo on request.
Open source
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
Eppo (Datadog) · since 2020
Established
Wingify (VWO + AB Tasty) · since 2009
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.
- EU hosting and GDPR posture simplify European procurement.
- Good balance between marketer-friendly editing and server-side flags.
- Strong support reputation in European markets.
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.
- Less well known outside Europe, with a smaller partner ecosystem.
- Quote-based pricing with no self-serve entry.
- Statistics engine is less differentiated than the warehouse-native platforms.
Best for
Data-mature organisations where experiment results must withstand scrutiny.
European e-commerce and media companies with GDPR-driven vendor requirements.
All of these integrate with: Segment, Slack.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.