Integrate your Google BigQuery Data Warehouse with Amazon Redshift
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 Amazon Redshift and all of your other cloud tools.
Easy Google BigQuery to Amazon Redshift 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 Amazon Redshift. 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 Amazon Redshift
Simplify your workflow with predefined schemas, automatically created for you in your Amazon Redshift warehouse.
Leverage best in class sync times and load data to Amazon Redshift every 30 minutes (or even faster!).
Customize data and loads for Amazon Redshift across multiple databases and schemas.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery source and Amazon Redshift is simple. Set up a Google BigQuery source source and start sending data.
Pricing Google BigQuery source and Amazon Redshift 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 Amazon Redshift.
About Amazon Redshift
Amazon Redshift is the world's fastest cloud data warehouse. It allows you to handle large analytical workloads with best-in-class performance, speed, and efficiency. With Redshift, you don't have to worry about the scale of your data or the cost of running queries on them.
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.