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Eppo

Warehouse-native experimentation platform with rigorous statistics, now part of Datadog.

Overview

Eppo is a warehouse-native experimentation platform designed for data and product teams that demand statistical rigor. Recently acquired by Datadog, Eppo connects directly to your data warehouse (Snowflake, BigQuery, or Databricks) without egressing data, ensuring no conflicting sources and no black boxes.

The platform supports sequential, fixed sample, and Bayesian statistical frameworks, plus the most robust implementation of CUPED variance reduction. Eppo enforces best practices through experiment review workflows, guardrail metrics, pre-experiment power analysis, and automated sample ratio mismatch detection. It also supports contextual bandits for AI-powered personalization.

Eppo integrates with feature flag providers like LaunchDarkly and Statsig rather than building its own flag infrastructure. Pricing ranges from $15,050 to $87,250 annually, with most customers paying around $42,000/year. There is no free tier — Eppo is committed to warehouse-native deployment exclusively.

Key Features

  • Warehouse-native architecture
  • CUPED variance reduction
  • Sequential & Bayesian statistics
  • Guardrail metrics
  • Power analysis
  • Contextual bandits
  • Experiment review workflows
  • Feature flag integrations

Pros & Cons

Pros

  • + Enforces statistical best practices with rigorous methodology
  • + Works with existing feature flag tools (LaunchDarkly, Statsig)
  • + No data egress — warehouse-native only

Cons

  • Requires data warehouse (Snowflake, BigQuery, or Databricks)
  • No built-in feature flags
  • No free tier — starts at $15K/year

Integrations

SnowflakeBigQueryRedshiftDatabricksLaunchDarklyStatsigDatadog

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