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Google BigQuery
Statsig

Integrate your Google BigQuery Data Warehouse with Statsig

Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Statsig and all of your other cloud tools.

Easy Google BigQuery to Statsig integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Statsig. With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Popular ways to use Statsig and RudderStack

Simplify implementation

Skip the custom integration and send existing data feeds to Statsig.

Easily send user data

Automatically send user data to [integration, destination=TRUE] without custom code.

Easily send experiment data

Automatically send experiment and variation details to Statsig without custom code.

Frequently Asked Questions

With Rudderstack, integration between Google BigQuery and Statsig is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Statsig can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery and Statsig.

Use the Google BigQuery integration with other popular destinations

About Statsig

Statsig is an application-building framework that helps companies safely A/B test features before rolling them out. It automates the grunt work so that your A/B tests run automatically and gives you a comprehensive view of how your product features are performing.

About Google BigQuery

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.