Is Eppo or Split better?

Neither clearly leads. Eppo starts at On request and Split at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Eppo or Split?

Eppo starts at On request and Split at On request.

Does Eppo or Split run on more platforms?

Eppo runs on Web, Cloud. Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.

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 Split is typically brought in for.

What can Eppo do that Split cannot?

Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging. Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing.

Testing · head to head

Eppo vs Split

Eppo

Testing

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

From: On request
Rated: -

Full review Website

Split

Testing

Feature flags tied to a metrics pipeline that attributes production impact to each release, now Harness FME

From: On request
Rated: -

Full review Website

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.; Split split is now a module of the Harness platform and split.io redirects to harness.io, so buying it means entering a Harness commercial relationship rather than a standalone flag vendor contract.
They diverge on capability: Eppo covers Warehouse-native analysis, Split covers Feature flags with targeting.
Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Eppo and Split actually diverge.

Attributes where Eppo and Split differ
Attribute	Eppo	Split
Platforms	Web, Cloud	Web, API, iOS, Android, Java, Node.js, Python, Go, .NET

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 Split

Feature flags with targeting
Metrics impact engine
Guardrail metrics
Statistical significance testing
Event ingestion
SDKs and streaming updates
Audit and approvals
Harness platform integration

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

Split

A product organisation that wants every release measured against conversion and latency by default, not only deliberate experimentsnot Eppo
Running A/B tests with real statistical significance rather than comparing two dashboard linesnot Eppo
Catching a regression at five per cent rollout because a guardrail metric fires before the change reaches everyonenot Eppo
A team already committed to Harness for CI and CD that wants flags in the same platform and contractnot 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.

Split

Split is now a module of the Harness platform and split.io redirects to harness.io, so buying it means entering a Harness commercial relationship rather than a standalone flag vendor contract.
Harness no longer publishes per-module prices, so an organisation that wants only feature management cannot get a list price and must negotiate a module out of a platform bundle.
The measurement engine needs traffic volume to reach significance, so a product with modest usage gets flags with an experimentation layer it will rarely be able to conclude anything from.
Metric attribution depends on correctly instrumented events flowing into Split, which is an integration project in its own right; without it you have paid for an experimentation platform and are using it as a flag switch.
As part of a larger DevOps suite the roadmap now competes with CI, CD, security and cloud cost modules for attention, so feature management is no longer the company’s single focus the way it was as an independent 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

Split

On request

Harness FreeFree
- Harness Open Source and community support
- Intended for individuals and small teams
- Feature management capability limited at this tier
Harness Essentials$undefined/year
- Bundled DevOps modules including CI, CD, IaC and security testing
- Standard support
- Pricing requires contacting sales
Harness Enterprise$undefined/year
- Mix and match from 15 or more modules including Feature Management and Experimentation
- Premier support with a dedicated account manager
- Higher pipeline concurrency and organisation limits

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 Split if

You need feature flags with targeting.
You work on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
You also want metrics impact engine.

Split review

Questions people ask

Is Eppo or Split better?: Neither clearly leads. Eppo starts at On request and Split at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Eppo or Split?: Eppo starts at On request and Split at On request.
Does Eppo or Split run on more platforms?: Eppo runs on Web, Cloud. Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
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 Split is typically brought in for.
What can Eppo do that Split cannot?: Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging. Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing.

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.

Split: Is Split still called Split?

It is now sold as Harness Feature Management and Experimentation after the Harness acquisition, and split.io redirects to harness.io.

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.

Split: Can I buy just feature flags?

Not from a price list. Harness publishes bundle tiers and directs single-module buyers to sales.

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.

Split: What does it do that a plain flag service does not?

It attributes changes in your product metrics to specific flags with statistical significance testing and alerts on guardrail metrics.

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.

Split: Do we need a lot of traffic?

Yes. Statistical tests need volume to conclude, so low-traffic products get limited value from the measurement layer.

Eppo vs Split

Eppo

Split

The short version

Where they differ

What each one covers

Only in Eppo

Only in Split

What people use each for

Eppo

Split

Where each one falls short

Eppo

Split

Pricing, plan by plan

Eppo

Split

Which should you pick?

Choose Eppo if

Choose Split if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on Eppo

More on Split

Keep looking

Other head to heads