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PostgreSQL
BigQuery Stream

Integrate PostgreSQL with BigQuery Stream

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

Easy PostgreSQL to BigQuery Stream 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 BigQuery Stream. 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 BigQuery Stream and RudderStack

Load event data

Easily send event stream and batch data to BigQuery Stream from multiple sources.

Automatic schema creation

Skip the formatting work in BigQuery Stream and move faster with predefined data structures.

Customize sync scheduling

Easily configure custom sync schedules to BigQuery Stream that work with your existing data workflows.

Frequently Asked Questions

With Rudderstack, integration between PostgreSQL and BigQuery Stream is simple. Set up a PostgreSQL source and start sending data.
Pricing PostgreSQL and BigQuery Stream can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for PostgreSQL and BigQuery Stream.

Use the PostgreSQL integration with other popular destinations

About PostgreSQL

PostgreSQL, also known as Postgres 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. Postgres uses SQL syntax for querying.