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Google BigQuery

Integrate Google Sheets with Google BigQuery

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

Easy Google Sheets to Google BigQuery integration with RudderStack

RudderStack’s open source Google Sheets integration allows you to integrate RudderStack with your Google Sheets to track event data and automatically send it to Google BigQuery. With the RudderStack Google Sheets integration, 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 BigQuery and RudderStack

Query spreadsheet data

Import analytics-ready spreadsheet data into your warehouse. Select the data points you need and sync with the click of a button.

Combine all of your business data

Pull valuable spreadsheet analyses into your data warehouse and centralize your business intelligence.

Create a single source of truth

Collect all of your data in one single repository, eliminating data silos and enabling comprehensive business intelligence.

Frequently Asked Questions

Depending on the format, there are multiple ways to export data from Google Sheets, whether manually, through a native integration or through a data platform like RudderStack.
There are two primary ways: First, you could write your own code script to pull the data and load it via API. Second, you could use an ETL integration provider like RudderStack to load the data automatically.
Building your own integration between Google Sheets and Google BigQuery costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.

Use the Google BigQuery integration with other popular sources

About Google BigQuery

Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time and leverage Google’s machine learning features. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data and params from the data source of your choice., without the pain of detailed setup or custom pipeline development. Setting up a pipeline to BigQuery cloud storage requires a significant amount of detailed engineering work, dealing with googleapis, config files, commands like createdataset and create table and more. With RudderStack, you simply need to set up a service account for authentication in Google Cloud Platform, ensure your IAM profile has the correct permissions and then specify the required details (like projectid). From there, RudderStack will take care of sending data directly to GCP (google-cloud/bigquery), including metadata, without you having to manage a cloud client library, set up a new git workflow in your command line or spend engineering cycles trying to optimize loads. In fact, with RudderStack’s streaming integrations you can even send data to Google in real-time. If you have multiple databases, RudderStack also allows you to send data to relational databases like PostgreSQL, SQL server, mySQL and more.

About Google Sheets

Google Sheets is the most popular cloud-based spreadsheet program that lets you create and format your spreadsheets and share them simultaneously with other people. Everyone from businesses and schools uses Google Sheets to manage their day-to-day spreadsheet data. The updated spreadsheets are automatically saved in real-time and are easily accessible from your Google Drive.