Softwr

Testing · head to head

Cypress vs Eppo

Cypress logo

Cypress

Testing

JavaScript end-to-end testing framework with browser-based runner and cloud service

From
Free
Rated
-
Eppo logo

Eppo

Testing

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

From
On request
Rated
-

The short version

  • Only Cypress has a free tier, so it costs nothing to try first.
  • Each has a real cost: Cypress limited to web applications; mobile and desktop app testing not supported; 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.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cypress and Eppo actually diverge.

Attributes where Cypress and Eppo differ
AttributeCypressEppo
Starting priceFreeOn request
Pricing modelfreemiumquote
Free tierYesNo
PlatformsmacOS, Windows, LinuxWeb, Cloud

Identical on both: 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 Cypress

Nothing recorded that Eppo does not also cover.

Only in Eppo

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

What people use each for

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

Cypress

  • End-to-end testing for modern JavaScript web applicationsnot Eppo
  • Continuous integration pipelines with parallelised test executionnot Eppo
  • Visual regression testing and accessibility verificationnot Eppo
  • Flaky test detection and eliminationnot Eppo
  • Team collaboration on test maintenance and debuggingnot Eppo

Eppo

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

Where each one falls short

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

Cypress

  • Limited to web applications; mobile and desktop app testing not supported
  • Free tier capped at 500 test results/month; insufficient for most development teams
  • Paid features (flake detection, analytics) not included in free tier
  • JavaScript/TypeScript focused; less suitable for polyglot organisations

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.

Pricing, plan by plan

Cypress

Free
  • Starter (Free)Free
    • 500 test results/month
    • 100 prompt executions/month
    • Parallelisation
  • Team$67/month
    • 120k test results/year
    • 9k prompt executions/year
    • Flake detection
  • Business$267/month
    • 120k test results/year
    • 24k prompt executions/year
    • Spec prioritisation
  • Enterprise$undefined/custom
    • 1.8M test results/year
    • 60k prompt executions/year
    • Unlimited users

Eppo

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

Which should you pick?

Choose Cypress if

  • You want to start without paying.
  • You work on macOS, Windows, Linux.

Choose Eppo if

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

Questions people ask

Is Cypress or Eppo better?
Neither clearly leads. Cypress starts at Free and Eppo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cypress or Eppo?
Cypress has a free tier; the other does not. Paid plans start at Free for Cypress and On request for Eppo.
Does Cypress or Eppo run on more platforms?
Cypress runs on macOS, Windows, Linux. Eppo runs on Web, Cloud.
Can I use Cypress for free?
Yes. Cypress has a free tier, so you can try it without paying. Eppo starts at On request.
What is Cypress best used for?
Cypress is most often used for end-to-end testing for modern javascript web applications, continuous integration pipelines with parallelised test execution, visual regression testing and accessibility verification, flaky test detection and elimination. Of those, end-to-end testing for modern javascript web applications and continuous integration pipelines with parallelised test execution are not what Eppo is typically brought in for.
What can Cypress do that Eppo cannot?
Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging.

Answered from the vendors’ own pages

Cypress: Is Cypress free?

Yes, Cypress offers a free Starter plan with 500 test results per month, 100 prompt executions monthly, 50 users, and 30-day data retention. No credit card is required.

Source
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.

Cypress: How much does Cypress Team cost?

Cypress Team costs $67 per month when billed monthly or $799 per year for annual billing (11% savings). It includes 120,000 annual test results, 9,000 yearly prompt executions, 50 users, 90-day data retention, flake detection, Jira integration, and email support.

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.

Cypress: What is the difference between Cypress Team and Business?

Cypress Business costs $267 per month (or $3,199 annually) compared to Team's $67/month ($799/year). Business provides twice the prompt executions (24,000 vs. 9,000 yearly), spec prioritization, auto-cancellation, and enterprise GitHub/GitLab support.

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.

Cypress: Can I purchase additional test results on Cypress?

Yes, Cypress allows purchasing bundled on-demand test results. Team costs $6 per 1,000 results, Business costs $5 per 1,000, and Enterprise pricing is custom. Open-source projects qualify for complimentary cloud services.

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.

Share

Related pages

Other head to heads