📊 Replace Google Analytics with warehouse analytics.
Easy Google BigQuery to Google Analytics 360 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 Analytics 360. 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 Analytics 360
Automatically send real-time data to marketing analytics, product analytics and business analytics tools.
Track the entire user journey across platforms without the technical headache.
Send existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery source and Google Analytics 360 is simple. Set up a Google BigQuery source source and start sending data.
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Google Analytics 360.
RudderStack Google Analytics 360 Documentation
Refer to our step-by-step guide and start using Google Analytics 360 today
RudderStack Google BigQuery Documentation
Refer to our step-by-step guide and start using Google BigQuery today
About Google Analytics 360
Google Analytics 360 is the enterprise version of Google Analytics that allows you to get actionable insights from your data. It provides enterprise teams with all the standard Google Analytics features along with more sophisticated analytics capabilities and the ability to export your data and insights to BigQuery. You also get SLA obligations, guaranteed uptime, extended support, and a lot more.
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.