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Testing · head to head

Eppo vs Statsig

Eppo logo

Eppo

Testing

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

From
On request
Rated
-
Full reviewWebsite
Statsig logo

Statsig

Project Management

Unified platform for feature flags, A/B testing, and product analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Statsig 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.; Statsig pro plan is limited to a single project, requiring Enterprise for multi-project support.
  • They diverge on capability: Eppo covers Warehouse-native analysis, Statsig covers Feature Flags.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Eppo and Statsig actually diverge.

Attributes where Eppo and Statsig differ
AttributeEppoStatsig
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWeb, Cloudweb, api
CategoryTestingProject Management

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 Statsig

  • Feature Flags
  • Experimentation
  • Product Analytics
  • Session Replay
  • Web Analytics
  • Warehouse-Native Deployment
  • Role-Based Access & SSO

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

Statsig

  • Rolling out features gradually with kill switchesnot Eppo
  • Running A/B tests with statistical rigornot Eppo
  • Tracing metric regressions to specific releasesnot Eppo
  • Consolidating analytics and experimentation toolingnot Eppo
  • Warehouse-native experimentation for data teamsnot 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.

Statsig

  • Pro plan is limited to a single project, requiring Enterprise for multi-project support.
  • Overage pricing on the Pro plan can become costly for high-event-volume products.
  • Warehouse-native deployment and advanced access controls are gated behind custom Enterprise contracts.
  • Free tier session replay and analytics retention are capped, pushing active teams toward paid tiers quickly.

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

Statsig

Free
  • DeveloperFree
    • 2M events/month
    • Unlimited flag & config checks
    • 50,000 session replays/month
  • Pro$150/month
    • 5M events included, then $0.05 per 1K events
    • Advanced experimentation & analytics
    • Unlimited analytics retention
  • Enterprise$undefined/month
    • Volume-discounted event/experiment contracts
    • Warehouse-native deployment
    • SSO & role-based access controls

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 Statsig if

  • You need feature flags.
  • You want to start without paying.
  • You work on web, api.
  • You also want experimentation.
Statsig review

Questions people ask

Is Eppo or Statsig better?
Neither clearly leads. Eppo starts at On request and Statsig at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Eppo or Statsig?
Statsig has a free tier; the other does not. Paid plans start at On request for Eppo and Free for Statsig.
Does Eppo or Statsig run on more platforms?
Eppo runs on Web, Cloud. Statsig runs on web, api.
Can I use Statsig for free?
Yes. Statsig 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 Statsig is typically brought in for.
What can Eppo do that Statsig cannot?
Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging. Statsig covers Feature Flags, Experimentation, Product Analytics, Session Replay.

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.

Statsig: What does Statsig cost?

Statsig offers a free Developer tier, a Pro tier at $150/month with 5M included events and $0.05 per 1,000 events after that, and custom Enterprise pricing based on event or experiment volume.

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.

Statsig: Is there a free plan, and what are its limits?

The free Developer plan includes 2M events per month, unlimited flag and config checks, 50,000 session replays per month, and 1-year analytics data retention with unlimited seats.

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.

Statsig: How is usage metered on Statsig?

Statsig meters billable events including exposures with Metric Lifts enabled, log events from SDKs or imports, ingested warehouse metrics, and custom metrics; disabled flag checks are not metered.

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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