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Warehouse-native experimentation and feature flags
Eppo is a warehouse-native experimentation platform that runs A/B tests and feature rollouts using the data already in your cloud data warehouse, delivering statistically rigorous, analytics-grade results without duplicating data into a separate system. It combines feature flagging with a powerful experiment analysis engine, letting product and data teams define metrics once and trust the numbers behind every launch decision.
Eppo is chosen by data-driven companies that want experimentation tied directly to their source of truth in Snowflake, BigQuery, Databricks, or Redshift. Its statistics engine supports advanced methods like CUPED variance reduction and sequential testing, and its metric governance keeps definitions consistent. For teams that outgrow basic A/B tools and demand credible, warehouse-backed results, Eppo bridges experimentation and analytics.
Pricing Model
PAID
Starting Price
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Free Options
Free trial
| Feature | Growth Popular | Enterprise |
|---|---|---|
| Warehouse-native analysis | — | |
| Feature flags | — | |
| Metric governance | — | |
| CUPED and sequential testing | — | |
| Warehouse integrations | — | |
| Everything in Growth | — | |
| Advanced permissions | — | |
| Dedicated support | — | |
| Custom statistics | — | |
| SSO and governance | — |
Other
Analytics
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Feature management and experimentation platform for safe releases
Open-source feature flag platform for enterprise scale
Open-source feature flag and remote config management
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