Eppo

Warehouse-native experimentation and feature flagging, now sold as Datadog Experiments

As of 31 August 2026, Eppo's pricing is not published; the vendor quotes on request. An A/B testing platform that computes results inside your own data warehouse instead of copying events out. Softwr lists it under Testing. Eppo is made by Datadog, following the acquisition of Eppo, available on Web.

Visit siteVisit Eppo

Overview

What Eppo does

Eppo runs experiment analysis where your data already lives. Rather than instrumenting a parallel event pipeline, it reads metric definitions against Snowflake, BigQuery, Redshift or Databricks and computes lifts there, which means the numbers an experiment reports reconcile with the numbers finance and analytics already use. Its statistics engine applies sequential testing and CUPED variance reduction to reach decisions on fewer samples, and it pairs the analysis with its own feature flagging so assignment and measurement come from the same system. It also supports contextual bandits for continuous optimisation rather than fixed splits. The fact that should change a shortlist is ownership. Datadog acquired Eppo in May 2025, reportedly for around 220 million USD, and the product is being presented as Datadog Experiments inside Datadog’s product analytics suite. The geteppo.com site itself carries a Datadog copyright and states the acquisition plainly. Existing customers continue to be supported, but future roadmap, packaging and commercial terms sit with Datadog, and an experimentation platform bundled into an observability suite is a different long-term purchase from an independent one. Buyers are data-mature product organisations that already have a warehouse, a semantic layer and analysts who care about how a metric is defined. The trade-offs follow from the architecture: the warehouse does the compute, so warehouse costs rise; results are as timely as your data pipeline, which typically means hours rather than seconds; and there is no published pricing at all, before or after the acquisition.

What people use it for

A company whose experiment results have repeatedly disagreed with the analytics team’s own numbers because the two systems define revenue differently
A product organisation with low traffic on a key surface that needs variance reduction to reach a decision in weeks instead of months
A team that must keep user-level event data inside its own warehouse for regulatory reasons and cannot ship it to a third-party analytics vendor
An existing Datadog customer consolidating product analytics, feature flags and experimentation onto one vendor agreement

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Eppo.

Datadog acquired Eppo in May 2025 and is folding it into Datadog Experiments, so you are now buying a component of an observability suite rather than an independent product, and roadmap priorities will follow Datadog’s bundle strategy.
No pricing is published anywhere, before or after the acquisition; the site offers only a demo request, so cost cannot be estimated without a sales process and is likely to be quoted alongside a wider Datadog contract.
Because analysis runs in your warehouse, Eppo shifts compute cost onto your Snowflake or BigQuery bill; a large experiment programme with frequent recomputation raises a line item that does not appear in the Eppo quote at all.
Results are only as fresh as the pipeline feeding the warehouse, so teams used to near-real-time dashboards from an event-based tool will wait hours for updated numbers, which slows down the fast iteration loops some product teams rely on.
It assumes a mature data stack with a warehouse, defined metrics and analysts who can maintain them; an organisation without that has to build the data foundation first, which makes the real adoption cost far larger than the licence.

Cross-shopped

What people choose instead of Eppo

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Eppovs
Statsig
Statsig: If you want experimentation with the option of either warehouse-native or vendor-hosted analysis, and published usage-based pricing
Eppovs
LaunchDarkly
LaunchDarkly: If your primary need is feature flag delivery and release control rather than statistical experiment analysis
Eppovs
Optimizely
Optimizely: If you need marketing-side web experimentation and a visual editor rather than warehouse-computed product experiments
Eppovs
Amplitude
Amplitude: If you already run product analytics there and want experiment analysis attached to the same event data

Pricing

What Eppo costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Eppo, now Datadog Experiments

On request

Warehouse-native experiment analysis
Feature flagging and assignment
Sequential testing and CUPED variance reduction
Contextual bandits
No pricing published; demo request only

Capabilities

Features

Warehouse-native analysis
Metrics computed in Snowflake, BigQuery, Redshift or Databricks rather than in a vendor pipeline
Sequential testing
Statistically valid continuous monitoring without inflating false positive rates
CUPED variance reduction
Uses pre-experiment data to reduce required sample sizes
Feature flagging
Assignment and randomisation from the same system that measures results
Metric governance
Shared metric definitions that reconcile with the semantic layer
Contextual bandits
Adaptive allocation for continuous optimisation rather than fixed split tests
Experiment scorecards
Per-experiment results with guardrail metrics and confidence intervals
Heterogeneous effect analysis
Segment-level breakdown of where an effect actually landed

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is Eppo still a separate product?

It is still sold and supported, but Datadog acquired it in May 2025 and it is branded as Datadog Experiments. Buy it expecting a Datadog product roadmap.

What does it cost?

Nothing is published. There is no pricing page, only a demo request, and pricing is now likely bundled into a Datadog agreement.

Does it need a data warehouse?

Yes. Warehouse-native analysis is the whole architecture. Without Snowflake, BigQuery, Redshift or Databricks there is no product.

Does it include feature flags?

Yes. Assignment and measurement come from the same system, which is the main reason teams pick it over pairing a flag tool with a separate analysis tool.

Keep looking

Where to go from Eppo

Best Testing software for

Compare Eppo with

Other Testing software

GrowthBook
Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse
Free, then $40/mo12 researched notes
Split
Feature flags tied to a metrics pipeline that attributes production impact to each release, now Harness FME
Pricing on request13 researched notes
Kameleoon
A/B testing and feature experimentation with a hybrid client and server-side engine
Pricing on request12 researched notes
Xray Test Management
Native test management for Jira, licensed per Jira user rather than per tester
11 researched notes
Qase
Test case management with an API first design and a free tier for small teams
Free plan10 researched notes
Tricentis Tosca
Model based test automation for enterprise applications, with deep SAP and mainframe coverage
Pricing on request11 researched notes
Appium
Open source mobile automation framework hosted under the OpenJS Foundation with copyright assigned to the foundation
Open source11 researched notes
TestRail
Test case management priced per user, owned by the Idera software group
From $38/mo12 researched notes
Katalon
Commercial low-code test automation platform built on Appium and Selenium, priced per seat plus separate cloud session add-ons
11 researched notes
Zephyr Scale
Native test management for Jira
Pricing on request11 researched notes
TestNG
Java testing framework created by Cedric Beust, still actively maintained but effectively a single-lead project
Open source11 researched notes
Percy
Visual regression testing owned by BrowserStack, with a permanent free tier for low screenshot volume
Free plan11 researched notes
Applitools
AI-based visual regression testing, priced on component and page checkpoint volume
11 researched notes
pytest
Python testing framework maintained by an independent core team funded partly through Tidelift
Open source11 researched notes
Testsigma
Natural language test automation for web, mobile and API with a self hosted open source edition
Free plan11 researched notes
Vitest
Fast unit test framework powered by Vite
Open source7 researched notes
Jest
JavaScript testing framework, moved from Meta to the OpenJS Foundation in 2022
Open source11 researched notes
Percy
Visual regression testing owned by BrowserStack, with a permanent free tier for low screenshot volume
Free plan11 researched notes

Softwr does not host reviews and shows no star rating for Eppo, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

Best Testing software alternatives

View all Testing software