Integrate your Google BigQuery Data Warehouse with Google Sheets
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 Google Sheets and all of your other cloud tools.
Easy Google BigQuery to Google Sheets integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your Google BigQuery Data Warehouse to track event data and automatically send it to Google Sheets. 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 Google Sheets
Easily populate Google Sheets with event data.
Map event properties to columns in Google Sheets.
Automatically create new rows in Google Sheets with event data.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery source and Google Sheets is simple. Set up a Google BigQuery source source and start sending data.
Pricing Google BigQuery source and Google Sheets 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 source and Google Sheets.
About Google Sheets
Google Sheets is a popular spreadsheet program that is bundled as a part of the free, cloud-based office suite offered by Google. With Google Sheets you can seamlessly create spreadsheets that update and save automatically and are easy to access from your Google Drive.
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.
