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Testing · head to head

Eppo vs Google Optimize

Eppo logo

Eppo

Testing

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

From
On request
Rated
-
Full reviewWebsite
Google Optimize logo

Google Optimize

Marketing

A/B testing for Google Analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Google Optimize has a free tier, so it costs nothing to try first.
  • 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.; Google Optimize google Optimize and Optimize 360 were sunset and are no longer available as of September 30, 2023
  • They diverge on capability: Eppo covers Warehouse-native analysis, Google Optimize covers A/B testing.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Eppo and Google Optimize actually diverge.

Attributes where Eppo and Google Optimize differ
AttributeEppoGoogle Optimize
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWeb, CloudWeb
CategoryTestingMarketing
FoundedUnknown1998

Identical on both: user rating (Not yet rated).

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 Google Optimize

  • A/B testing
  • Google Analytics integration
  • Visual editor
  • Real-time analytics
  • Google Analytics
  • Google Tag Manager
  • Google's security
  • Cloud deployment

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 Google Optimize
  • A product organisation with low traffic on a key surface that needs variance reduction to reach a decision in weeks instead of monthsnot Google Optimize
  • 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 Google Optimize
  • An existing Datadog customer consolidating product analytics, feature flags and experimentation onto one vendor agreementnot Google Optimize

Google Optimize

  • A/B and multivariate testing of web pages tied to Google Analytics goalsnot Eppo
  • Personalising page content for defined audience segmentsnot Eppo
  • Redirect tests between alternative landing page URLsnot 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.

Google Optimize

  • Google Optimize and Optimize 360 were sunset and are no longer available as of September 30, 2023
  • Any experiments and personalizations still running on that date were ended by Google
  • Google directs former users to third-party A/B testing tools, naming AB Tasty, Optimizely and VWO, rather than a replacement Google product

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

Google Optimize

Free
  • FreeFree
    • A/B testing
    • Google Analytics integration
    • Visual editor

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 Google Optimize if

  • You need a/b testing.
  • You want to start without paying.
  • You also want google analytics integration.
Google Optimize review

Questions people ask

Is Eppo or Google Optimize better?
Neither clearly leads. Eppo starts at On request and Google Optimize at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Eppo or Google Optimize?
Google Optimize has a free tier; the other does not. Paid plans start at On request for Eppo and Free for Google Optimize.
Does Eppo or Google Optimize run on more platforms?
Eppo runs on Web, Cloud. Google Optimize runs on Web.
Can I use Google Optimize for free?
Yes. Google Optimize has a free tier, so you can try it without paying. Eppo starts at On request.
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 Google Optimize is typically brought in for.
What can Eppo do that Google Optimize cannot?
Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging. Google Optimize covers A/B testing, Google Analytics integration, Visual editor, Real-time analytics.

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.

Google Optimize: Is Google Optimize still available?

No. Google Optimize and Optimize 360 were discontinued as of September 30, 2023. Google recommends third-party A/B testing integrations such as AB Tasty, Optimizely, and VWO as replacements.

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.

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.

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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