Easy PostgreSQL to Google Analytics integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your PostgreSQL to track event data and automatically send it to Google Analytics. 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
Enable real-time data
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.
Hot-swap analytics tools
Send existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
How do you integrate your PostgreSQL database with Google Analytics?
With Rudderstack, integration between PostgreSQL source and Google Analytics is simple. Set up a PostgreSQL source source and start sending data.
Is it expensive to integrate PostgreSQL source with Google Analytics?
How long does it take to integrate PostgreSQL source with Google Analytics?
Timing can vary based on your tech stack and the complexity of your data needs for PostgreSQL source and Google Analytics.
RudderStack Google Analytics Documentation
Refer to our step-by-step guide and start using Google Analytics today
RudderStack PostgreSQL Documentation
Refer to our step-by-step guide and start using PostgreSQL today
About Google Analytics
Google Analytics is an industry leader in web analytics. It gives you the required tools to analyze your website as well as your customers’ activities. Through intuitive dashboards and reports, Google Analytics gives you relevant insights that can help you improve your product as well as customer experience.
PostgreSQL is an enterprise-grade, open-source object-relational database management system. It is popularly known for its reliability, feature robustness, and performance. Many companies use PostgreSQL as their low-cost data warehousing solution to deliver efficient analytics and user insights. You can use PostgreSQL in various instances, including web, mobile, geospatial, and analytics applications.