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Easy Google BigQuery to Salesmachine 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 Salesmachine. 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 Salesmachine
Create and update customers
Create and update customers in Salesmachine in real time.
Track customer behavior
Send key user actions to Salesmachine to give the customer success team context for support tickets.
Assign users to groups
Automatically assign new users to existing groups, companies or accounts in Salesmachine.
Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Salesmachine?
With Rudderstack, integration between Google BigQuery source and Salesmachine is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Salesmachine?
Pricing Google BigQuery source and Salesmachine 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 Salesmachine?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Salesmachine.
RudderStack Google BigQuery Documentation
Refer to our step-by-step guide and start using Google BigQuery today
About Salesmachine
Salesmachine is a customer success platform that allows you to track your customers’ behavior in real-time to engage, retain, and grow your business. It generates product usage insights that can be used by sales, product, and customer success teams to automate workflows and drive your business.
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.
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