Skip to content
testcritic

Eppo

Warehouse-native experimentation with a serious statistics engine.

A/B & FlagsQuote onlyAI features
Visit Eppo

What it is

Eppo runs experiment analysis directly against your data warehouse using metrics you define once, applying sequential testing, CUPED variance reduction and automatic diagnostics for sample-ratio mismatch. It is built for data teams who care about the analysis being defensible. Datadog acquired Eppo in May 2025 and now sells it as Datadog Experiments, so expect it to be bundled into a wider Datadog conversation.

Best for

Data-mature organisations where experiment results must withstand scrutiny.

Where it is strong

  • 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.

Where it falls short

  • 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.

Pricing

Quote on request

Quote only

Free tier: Free tier available for small teams.

What drives the bill: Quote-based, generally aimed at companies with a data team and a warehouse already in place.

Check current pricing on Eppo (Datadog)’s site

Figures are indicative and were last reviewed August 2026. Vendors change pricing often; confirm before you commit.

Works with

SnowflakeBigQueryDatabricksRedshiftSegmentdbtSlack

What people who use Eppo say

No reviews of Eppo yet. If you have used it in anger, yours would be the first.

Alternatives to Eppo

If Eppo is not the right fit, these solve the same problem differently.

Explore all alternatives