Integrate PostgreSQL with Google BigQuery
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from PostgreSQL to Google BigQuery and all of your other cloud tools.
Easy PostgreSQL to Google BigQuery 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 BigQuery. 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 BigQuery and RudderStack
Simplify your workflow with predefined schemas, automatically created for you in your Google BigQuery warehouse.
Leverage best in class sync times and load data to Google BigQuery every 30 minutes (or even faster!).
Customize data and loads for Google BigQuery across multiple databases and schemas.
Frequently Asked Questions
With Rudderstack, integration between PostgreSQL source and Google BigQuery is simple. Set up a PostgreSQL source source and start sending data.
Pricing PostgreSQL source and Google BigQuery 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 source and Google BigQuery.
About Google BigQuery
Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time and leverage Google’s machine learning features. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data and params from the data source of your choice., without the pain of detailed setup or custom pipeline development. Setting up a pipeline to BigQuery cloud storage requires a significant amount of detailed engineering work, dealing with googleapis, config files, commands like createdataset and create table and more. With RudderStack, you simply need to set up a service account for authentication in Google Cloud Platform, ensure your IAM profile has the correct permissions and then specify the required details (like projectid). From there, RudderStack will take care of sending data directly to GCP (google-cloud/bigquery), including metadata, without you having to manage a cloud client library, set up a new git workflow in your command line or spend engineering cycles trying to optimize loads. In fact, with RudderStack’s streaming integrations you can even send data to Google in real-time. If you have multiple databases, RudderStack also allows you to send data to relational databases like PostgreSQL, SQL server, mySQL and more.
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.
