Experimentation & feature flags · Datadog

Datadog Experiments (formerly Eppo)

Warehouse-native experimentation platform known for its CUPED implementation, acquired by Datadog in 2025 and rebranded Datadog Experiments.

Visit Datadog Experiments (formerly Eppo) Alternatives

Eppo was built as a warehouse-native experimentation and feature-flagging platform: it analyzes results by querying a customer's own warehouse (Snowflake, BigQuery, Redshift, Databricks) rather than ingesting a separate copy of event data, which it argued gave better governance and cost control than pipeline-based tools. It supports sequential, fixed-sample frequentist, and Bayesian analysis, and is particularly known for CUPED variance reduction — by default it looks back 30 days of pre-experiment metric data per subject to reduce variance, and states that combining CUPED with sequential testing can cut experiment runtimes by 50% or more. Datadog acquired Eppo in 2025 and relaunched it as Datadog Experiments in April 2026, integrating it with Datadog's Product Analytics and Feature Flags; the product remains warehouse-native and the statistical approach is unchanged, but it is now sold and supported as part of the Datadog observability platform rather than as a standalone company.

At a glance

Vendor Datadog
Pricing model Quote only
Free tier —
Deployment Cloud
Open source No
Best for Teams already on or evaluating Datadog that want warehouse-native experimentation with strong CUPED support.

Pricing

Sold under Datadog's usage-based pricing; specific experimentation rates were not shown on the product page.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • Warehouse-native experiment analysis
  • Sequential, fixed-sample frequentist, and Bayesian analysis
  • CUPED++ variance reduction with configurable lookback window
  • Automated guardrails (sample ratio mismatch, traffic imbalance detection)
  • Feature flagging
  • Integration with Datadog observability (latency, errors, crashes) alongside experiment results

Integrations

Profile last reviewed September 21, 2026

Alternatives

GrowthBook Open-source, warehouse-native experimentation and feature-flag platform offering both Bayesian and frequentist sequential analysis with CUPED. Statsig Warehouse-native experimentation and feature-flag platform offering frequentist sequential testing, SPRT, Bayesian mode, and CUPED. Unleash Open-source feature-flag platform with rollout-based experimentation, moved from Apache-2.0 to AGPLv3 licensing in mid-2026.

Datadog Experiments (formerly Eppo) in the index now

Terms to know

A/B testing A controlled experiment that compares two variants to measure which one produces a better outcome. Statistical significance A threshold judgment that an observed effect is unlikely to be due to chance alone, given the data and test used. Data warehouse A centralized, structured database optimized for fast historical reporting rather than day-to-day transactions. Confidence interval A range calculated from sample data that, under repeated sampling, would contain the true value a stated percentage of the time. Attribution window The fixed period after an ad click or view during which a resulting conversion is still credited to that ad. CUPED (controlled-experiment using pre-experiment data) A variance-reduction technique that uses each user's pre-experiment behavior to sharpen an experiment's estimate without adding more traffic.

Related guides

How to choose an experimentation and feature-flag platform Pick by where your experiment data comes from — flag telemetry or your own warehouse — and which statistical engine your team trusts, not feature count.