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Testing · head to head

Eppo vs Zephyr Scale

Eppo logo

Eppo

Testing

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

From
On request
Rated
-
Full reviewWebsite
Zephyr Scale logo

Zephyr Scale

Testing

Native test management for Jira

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Zephyr Scale tightly bound to Jira; limited standalone functionality outside Jira ecosystem
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Eppo and Zephyr Scale actually diverge.

Attributes where Eppo and Zephyr Scale differ
AttributeEppoZephyr Scale
PlatformsWeb, CloudWeb

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Testing).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Eppo

  • Warehouse-native analysis
  • Sequential testing
  • CUPED variance reduction
  • Feature flagging
  • Metric governance
  • Contextual bandits
  • Experiment scorecards
  • Heterogeneous effect analysis

Only in Zephyr Scale

Nothing recorded that Eppo does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Eppo

  • A company whose experiment results have repeatedly disagreed with the analytics team’s own numbers because the two systems define revenue differentlynot Zephyr Scale
  • A product organisation with low traffic on a key surface that needs variance reduction to reach a decision in weeks instead of monthsnot Zephyr Scale
  • 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 vendornot Zephyr Scale
  • An existing Datadog customer consolidating product analytics, feature flags and experimentation onto one vendor agreementnot Zephyr Scale

Zephyr Scale

  • Test case management within Jira workflowsnot Eppo
  • Manual and automated test execution trackingnot Eppo
  • Cross-project test asset reusenot Eppo
  • Requirements traceability from stories to testsnot Eppo
  • CI/CD pipeline and BDD framework integrationnot Eppo

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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.

Zephyr Scale

  • Tightly bound to Jira; limited standalone functionality outside Jira ecosystem
  • No-code automation features limited in Standard tier, expanded only in Advanced
  • Data residency feature unavailable for Essential tier, limiting enterprise compliance
  • Transparent cost structure not provided on marketing page

Pricing, plan by plan

Eppo

On request
  • Eppo, now Datadog Experiments$undefined/year
    • Warehouse-native experiment analysis
    • Feature flagging and assignment
    • Sequential testing and CUPED variance reduction

Zephyr Scale

On request

No published plan breakdown. See the Zephyr Scale review.

Which should you pick?

Choose Eppo if

  • You need warehouse-native analysis.
  • You work on Web, Cloud.
  • You also want sequential testing.
Eppo review

Choose Zephyr Scale if

Nothing in the data separates Zephyr Scale from Eppo on the points above - pick on price and on how each one feels to use.

Zephyr Scale review

Questions people ask

Is Eppo or Zephyr Scale better?
Neither clearly leads. Eppo starts at On request and Zephyr Scale at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Eppo or Zephyr Scale?
Eppo starts at On request and Zephyr Scale at On request.
Does Eppo or Zephyr Scale run on more platforms?
Eppo runs on Web, Cloud. Zephyr Scale runs on Web.
What is Eppo best used for?
Eppo is most often used 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. Of those, a company whose experiment results have repeatedly disagreed with the analytics team’s own numbers because the two systems define revenue differently and a product organisation with low traffic on a key surface that needs variance reduction to reach a decision in weeks instead of months are not what Zephyr Scale is typically brought in for.
What can Eppo do that Zephyr Scale cannot?
Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging.

Answered from the vendors’ own pages

Eppo: 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.

Zephyr Scale: How much does Zephyr Scale cost?

Zephyr Scale pricing is not published on the website. Three tiers are available: Essential, Standard, and Advanced, plus QMetry for Jira. Contact SmartBear or visit Atlassian Marketplace for pricing details.

Source
Eppo: 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.

Zephyr Scale: Is there a free trial available?

Yes, Zephyr offers free trials for Essential, Standard, and Advanced tiers, as well as for QMetry. Visit the product page to start a trial.

Source
Eppo: Does it need a data warehouse?

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

Zephyr Scale: Does Zephyr Scale work outside of Jira?

Zephyr Scale is tightly integrated with Jira for test management. For standalone test management outside Jira, SmartBear offers QMetry as an alternative.

Source
Eppo: 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.

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