Easy PostgreSQL to Heap 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 Heap. 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 Heap
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 Heap Analytics?
With Rudderstack, integration between PostgreSQL source and Heap Analytics is simple. Set up a PostgreSQL source source and start sending data.
Is it expensive to integrate PostgreSQL source with Heap Analytics?
How long does it take to integrate PostgreSQL source with Heap Analytics?
Timing can vary based on your tech stack and the complexity of your data needs for PostgreSQL source and Heap Analytics.
RudderStack Heap Documentation
Refer to our step-by-step guide and start using Heap today
RudderStack PostgreSQL Documentation
Refer to our step-by-step guide and start using PostgreSQL today
Heap Analytics is a popular web analytics platform that allows you to capture and measure user actions on your website or mobile application. You can track taps, clicks, gestures, page views form submissions, and more with no additional code. Customer success teams, product, and marketing teams can use all of this customer behavioral data to create tailored customer digital experiences for increased customer conversion and retention. Heap was founded in 2013 and is based in San Francisco, CA.
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.