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Google BigQuery
Fullstory

Integrate your Google BigQuery Data Warehouse with Fullstory

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 Fullstory and all of your other cloud tools.

Easy Google BigQuery to Fullstory 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 Fullstory. 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 Fullstory and RudderStack

Frequently Asked Questions

With Rudderstack, integration between Google BigQuery and Fullstory is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Fullstory 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 Fullstory.

Use the Fullstory integration with other popular sources

Use the Google BigQuery integration with other popular destinations

About Fullstory

FullStory is a popular marketing platform used by many businesses to understand, measure, and optimize the customer experience. FullStory makes extensive use of the incoming event data to analyze user behavior on the app and track their overall journey. With these insights, FullStory helps you identify potential opportunities to increase engagement and user retention.

If you are looking for an all-inclusive marketing solution to support your businesses growing digital presence, then FullStory is the perfect tool for you.

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.