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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.

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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
Anthropic OpenAI Notion Microsoft Brex uiPath Univision Flipkart ea Made Reidopitaco Eightfold
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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
Engineering

Engineering

Ship faster, de-risk feature releases, and maximize your existing stack with the largest integration suite in the industry
Dev Ops

Dev Ops

Decouple feature launches from platform deployments across all system layers. Smooth integration with top tools, including Terraform & Edge CDN
Data Science

Data Science

Stop number crunching and start delivering results. No more defending experiment methodology
Product Management

Product Management

Manage experiments without needing to code. Democratize access to data

What builders love about us

Testimonials
OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
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
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
CPO
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering

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