Integrate Google Analytics with Google BigQuery

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

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Easy Google Analytics to Google BigQuery integration with RudderStack

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

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

Understand feature adoption

Combine your product analytics data with other data points to fully understand features and their impact on lifetime value.

See the full customer journey

Combine your product analytics data with other digital touchpoints to build a full picture of the customer journey.

Frequently Asked Questions

Can you export data from Google Analytics?

Depending on the format, there are multiple ways to export data from Google Analytics, whether manually, through a native integration or through a data platform like RudderStack.

How do you load data from Google Analytics into Google BigQuery?

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.

How much does it cost to load data from Google Analytics into Google BigQuery?

Building your own integration between Google Analytics 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

Flutter SDK

RudderStack SDKs

Unity SDK

RudderStack SDKs

RudderStack Google BigQuery Documentation

Refer to our step-by-step guide and start using Google BigQuery today

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 Analytics

Google Analytics is the most popular web analytics platform that enables businesses to analyze, track, and report website traffic across various sources. It gives you unique insights into your marketing performance, content, and products to better understand your customer.

Backed by Google’s exceptional insights and machine learning capabilities, Google Analytics lets you make the most of your data by measuring your advertising ROI. It also helps you set up tracking code to perform data collection based on your website preferences.