Integrate your Google BigQuery Data Warehouse with PostgreSQL
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to PostgreSQL and all of your other cloud tools.
Easy Google BigQuery to PostgreSQL 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 PostgreSQL. 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 PostgreSQL
Easily send event stream and batch data to PostgreSQL from multiple sources.
Skip the formatting work in PostgreSQL and move faster with predefined data structures.
Easily configure custom sync schedules to PostgreSQL that work with your existing data workflows.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery source and PostgreSQL is simple. Set up a Google BigQuery source source and start sending data.
Pricing Google BigQuery source and PostgreSQL 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 Google BigQuery source and PostgreSQL.
PostgreSQL is a popular open-source database used by thousands of companies worldwide for their data storage requirements. It is enterprise-grade and supports both relational and non-relational queries.
Businesses use PostgreSQL as their low-cost data warehousing solution to deliver efficient analytics and user insights. PostgreSQL is fast, scalable, and easy to administer. It also has excellent support for third-party applications and analytical tools. PostgreSQL is known for its reliability, high performance, and robustness.
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.