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Integrate your Google BigQuery Data Warehouse with Salesforce
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 Salesforce and all of your other cloud tools.
Easy Google BigQuery to Salesforce integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Salesforce. 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.
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Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Salesforce?
With Rudderstack, integration between Google BigQuery source and Salesforce is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Salesforce?
Pricing Google BigQuery source and Salesforce can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Google BigQuery source with Salesforce?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Salesforce.
Is it possible to send integrate Google BigQuery with Salesforce without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Salesforce, but you check out our guide on How to Access and Query Your Google BigQuery Data Using Python and R to learn how to connect the tools manually.
About Salesforce
Salesforce is an industry leader in enterprise CRM. It offers a suite of enterprise applications revolving around marketing automation, customer engagement and support, application.
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.