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Statsig Warehouse Native

Deploy Statsig within your own data warehouse, gaining the benefits of the world's most advanced stats engine and experimentation tools directly within your existing tech stack.

Statsig Warehouse Native

The advantages of Statsig Warehouse Native

Harness the power of your own data

By integrating Statsig’s advanced statistical engine with your data, you gain unparalleled insights and control. This seamless integration ensures that your data remains within your secure environment, maintaining privacy and compliance with your data policies.

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Data utilization in your own secure environment

With your data securely housed within your infrastructure, Statsig Warehouse Native enables precise, real-time analytics and experimentation, ensuring that every insight and decision is deeply rooted in your unique data ecosystem.

Streamlize your data flow while reinforcing your own data strategy, keeping you in control of your most valuable asset: your data.

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Experimentation at your fingertips

With Statsig Warehouse Native, customize your experimentation workflow to match your business needs. Benefit from the flexibility to define metrics and run sophisticated experiments using your data.

Statsig Warehouse Native provides a tailored experience, allowing for deeper insights and more meaningful results from your experiments.

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Advanced experimentation features, warehouse native

Leverage advanced features like CUPED, sequential analysis, and integrated SDKs for KPI measurement within your own data warehouse environment. Statsig Warehouse Native brings these powerful tools to your infrastructure, allowing for complex experiment designs and nuanced analysis, all while keeping your data in-house for maximum security and convenience.

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For a full breakdown of Statsig Warehouse Native versus Statsig Cloud, see our documentation.

A new, warehouse-native way to achieve statistical significance

In love with your flags and assignment tools? Add Statsig to your stack for end-to-end experimentation including targeting and feature rollouts with holdouts and layers

No extra overhead

Engineering teams can now liberally apply A/B testing on top of feature flags, with zero overhead. Statsig Warehouse Native provides a fast, responsive, and modular stats engine for experimentation analysis directly in your data warehouse

Save time

Make updates to experiments and recover from mistakes in less than 20 minutes, instead of waiting 20+ hours for revised results using other experimentation engines. Run experiment analyses in a matter of minutes

Hybrid solutions supported

Use Statsig for experiment analysis, leverage SDKs for end-to-end targeting and feature rollouts with holdouts and layers, or import offline experiments as part of a hybrid solution. Statsig meets you halfway, wherever that may be
Experimentation
Yape UrbanSportsClub OpenAI EventBrite Notion Hepsiburada Plex Thumbtack Microsoft Attentive Collective Reidopitaco Vista Cruise Brex Cars24 Rappi PitchBook OfferUp Made Coda Ancestry Go1 Whatnot Univision Webflow Eightfold CharacterAI Varo Parafin Yape UrbanSportsClub OpenAI EventBrite Notion Hepsiburada Plex Thumbtack Microsoft Attentive Collective Reidopitaco Vista Cruise Brex Cars24 Rappi PitchBook OfferUp Made Coda Ancestry Go1 Whatnot Univision Webflow Eightfold CharacterAI Varo Parafin
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Join the #1 Community for Product Experimentation

Connect with a like-minded group of data scientists and engineers tackling the same challenges as you
  • A breadth of experimentation topics
  • Insights from hands-on experimenters at top companies
  • Practical tips you can't find anywhere else
  • No questions unanswered
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Statsig for the Whole Team

Remove the grunt-work and manual setup required to maintain your feature flag infrastructure, and experimentation engine

What our customers say about us

Testimonials
“At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.”
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
“Statsig's experimentation platform enables both speed and learning for us.”
Notion
Mengying Li
Data Science Manager
“We knew upon seeing Statsig’s user interface that it was something a lot of teams could use.”
OfferUp
Laura Spencer
Chief of Staff

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