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Testing · head to head

Eppo vs GrowthBook

Eppo logo

Eppo

Testing

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

From
On request
Rated
-
Full reviewWebsite
GrowthBook logo

GrowthBook

Testing

Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only GrowthBook 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.; GrowthBook warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
  • They diverge on capability: Eppo covers Sequential testing, GrowthBook covers Feature flags.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Eppo and GrowthBook actually diverge.

Attributes where Eppo and GrowthBook differ
AttributeEppoGrowthBook
Starting priceOn requestFree
Pricing modelquotePer user per month
Free tierNoYes
PlatformsWeb, CloudWeb, Self-hosted, Docker

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 Eppo

  • Sequential testing
  • Feature flagging
  • Metric governance
  • Contextual bandits
  • Experiment scorecards
  • Heterogeneous effect analysis

Only in GrowthBook

  • Feature flags
  • Reusable metric definitions
  • Bayesian and frequentist engines
  • Visual editor
  • Self-hosting
  • Guardrail metrics

Both cover

  • Warehouse-native analysis
  • CUPED variance reduction

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

GrowthBook

  • An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot Eppo
  • A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot Eppo
  • A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot Eppo
  • Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot 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.

GrowthBook

  • Warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
  • Metrics are SQL, so a marketing or product team without data engineering support cannot define or fix them, and a badly written metric silently produces a confident wrong answer.
  • Cloud Pro bills per seat and then adds CDN request and bandwidth overages, so a high-traffic site can find the variable component exceeds the seat cost it budgeted for.
  • Self-hosting means you own the Mongo database, the SDK endpoint availability and the upgrade path, and a flag service that is down is a production incident, not an analytics inconvenience.
  • The statistics engine exposes real choices, Bayesian versus frequentist, sequential testing, variance reduction, and the tool will not stop a team that configures them wrongly, so it rewards statistical literacy and punishes its absence.

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

GrowthBook

Free
  • Open source (self-hosted)Free
    • Unlimited users, feature flags and experiments
    • One project
    • MIT licensed, you run the infrastructure
  • Starter (cloud)Free
    • Up to 3 users
    • 1 project
    • Unlimited flags, experiments and traffic
  • Pro (cloud)$40/month
    • Per seat, up to 50 users
    • 3 projects
    • CDN overage at $10 per million requests beyond the included allowance
  • Enterprise$undefined/year
    • Unlimited users and projects
    • SSO, audit logs and advanced permissions
    • Available on cloud or self-hosted

Which should you pick?

Choose Eppo if

  • You need sequential testing.
  • You work on Web, Cloud.
  • You also want feature flagging.
Eppo review

Choose GrowthBook if

  • You need feature flags.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want reusable metric definitions.
GrowthBook review

Questions people ask

Is Eppo or GrowthBook better?
Neither clearly leads. Eppo starts at On request and GrowthBook at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Eppo or GrowthBook?
GrowthBook has a free tier; the other does not. Paid plans start at On request for Eppo and Free for GrowthBook.
Does Eppo or GrowthBook run on more platforms?
Eppo runs on Web, Cloud. GrowthBook runs on Web, Self-hosted, Docker.
Can I use GrowthBook for free?
Yes. GrowthBook 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 GrowthBook is typically brought in for.
What can Eppo do that GrowthBook cannot?
Eppo covers Sequential testing, Feature flagging, Metric governance, Contextual bandits. GrowthBook covers Feature flags, Reusable metric definitions, Bayesian and frequentist engines, Visual editor. Both handle Warehouse-native analysis, CUPED variance reduction.

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.

GrowthBook: Is the self-hosted version actually usable, or crippled?

It is genuinely usable: unlimited users, flags and experiments on one project under an MIT licence. The paid tiers add multiple projects, SSO, audit logs and support.

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.

GrowthBook: Do I need a data warehouse?

For experiment analysis, effectively yes. Feature flagging works without one, but the reason to choose GrowthBook over a flag-only tool is the warehouse-native statistics.

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.

GrowthBook: How does the cost compare with LaunchDarkly or Optimizely?

GrowthBook charges per seat rather than per monthly active user or per tracked event, so cost stops scaling with traffic. At high volume that difference is large.

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.

GrowthBook: Does it support mobile and server-side flags?

Yes, there are SDKs across JavaScript, React, Python, Go, Ruby, PHP, Java, Kotlin, Swift and more, covering client, server and mobile evaluation.

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