Statsig vs Eppo: Experimentation Platforms Compared (2026)
Statsig vs Eppo has been one of the defining comparisons in modern experimentation. Statsig offered an all-in-one platform with flags, experiments, analytics, and replay. Eppo built a warehouse-native experimentation platform for data teams that want metrics defined once in their warehouse. Both were acquired in 2025: Statsig by OpenAI, and Eppo by Datadog.
The underlying trade-off still holds. Statsig suits teams that want experimentation, flags, and analytics in one hosted product. Eppo suits data-driven teams that want rigorous, warehouse-native experiments, now within Datadog's platform.
Measuring a change in Statsig? Write the experiment brief before you ship.
Describe the change and the number you want to move. Vantage turns it into a written brief you can share with eng and data before anything ships.
How this works
- We save what you typed. No AI runs on this page.
- You create a free account.
- Vantage builds an experiment brief from it inside your own workspace.
Why ask for an account? We’re a small team, and a full generation runs a multi-step AI pipeline that costs us real money. So we tie it to a free account instead of running it anonymously. You also get to keep the result and edit it.
Your text is only used to create your project, and it stays private to your account. If you don’t sign up, we delete it after 7 days. Privacy policy
Statsig
Statsig is a product development platform built around experimentation. It provides feature flags, A/B tests with CUPED variance reduction and sequential testing, product analytics, session replay, and web analytics. Statsig can run on its own cloud or warehouse-native. OpenAI acquired Statsig in 2025, and Statsig continues to operate for customers.
Eppo
Eppo is a warehouse-native experimentation and feature flagging platform. Metrics are defined in SQL on top of your data warehouse, so experiment results use the same data as the rest of your analytics. Eppo offers CUPED, sequential testing, a metric repository, and experiment reports built for data teams. Eppo is now part of Datadog, which acquired it in 2025, so buying and packaging go through Datadog.
Feature comparison
| Feature | Statsig | Eppo |
|---|---|---|
| Architecture | Hosted platform, with a warehouse-native option. | Warehouse-native at its core. |
| Experimentation statistics | CUPED, sequential testing, and automatic metric impact. | CUPED, sequential testing, and a rigorous metric library. |
| Feature flags | Core feature with generous free usage. | Feature flags included for running experiments. |
| Product analytics | Built in. | Relies on your warehouse and BI tools. |
| Session replay | Available. | Not a focus. |
| Ownership | Part of OpenAI since 2025. | Part of Datadog since 2025. |
| Pricing model | Free developer tier; usage-based paid plans. | Sales-led, through Datadog. |
Statsig pros
All-in-one: flags, experiments, analytics, and replay
Generous free tier to get started
Every release can become a measured experiment
Flexible hosted or warehouse-native deployment
Statsig cons
Analytics less deep than dedicated tools
Engineering-oriented interface
Roadmap questions after the OpenAI acquisition
Warehouse-native setup requires data team effort
Pricing: Free developer tier with generous event allowances and unlimited flag checks. Paid plans priced on usage, with custom pricing for large volumes and warehouse-native setups.
Eppo pros
Metrics defined once in the warehouse, trusted everywhere
Built for data scientists and analysts
Rigorous experiment reporting
Fits teams already on Datadog
Eppo cons
Requires a mature data warehouse
Less suited to teams without data support
Packaging within Datadog may change how you buy it
Fewer built-in analytics and replay features
Pricing: Sales-led pricing through Datadog. Ask Datadog how Eppo is currently packaged with its other products.
Choose Statsig if you need
- - You want flags, experiments, and analytics in one tool
- - Engineers drive most experiments
- - You don't have a mature data warehouse
- - A free tier to start matters
Choose Eppo if you need
- - Your metrics already live in a data warehouse
- - Data scientists own experiment design and analysis
- - Trust in metric definitions is a top concern
- - You already use Datadog
How Vantage fits in
Experimentation platforms tell you whether a change worked. The next spec should start from that answer. Vantage lets PMs add experiment readouts as context, generate the PRD for the follow-up, and push dependency-aware tickets to Linear or Jira. Vantage doesn't connect to experimentation or analytics tools yet, so results come in as docs or links.
Frequently asked questions
Product decisions need more than a comparison
Generate PRDs grounded in real data. Track dependencies. Detect conflicts. Rebuild when context shifts.
Measuring a change in Statsig? Write the experiment brief before you ship.
Describe the change and the number you want to move. Vantage turns it into a written brief you can share with eng and data before anything ships.
How this works
- We save what you typed. No AI runs on this page.
- You create a free account.
- Vantage builds an experiment brief from it inside your own workspace.
Why ask for an account? We’re a small team, and a full generation runs a multi-step AI pipeline that costs us real money. So we tie it to a free account instead of running it anonymously. You also get to keep the result and edit it.
Your text is only used to create your project, and it stays private to your account. If you don’t sign up, we delete it after 7 days. Privacy policy
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