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Databricks
Zendesk

Integrate your Databricks Data Warehouse with Zendesk

Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Databricks Data Warehouse to Zendesk and all of your other cloud tools.

Easy Databricks to Zendesk integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Databricks Data Warehouse to track event data and automatically send it to Zendesk. 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 Zendesk and RudderStack

Create and update customers

Create and update customers in Zendesk in real time.

Track customer behavior

Send key user actions to Zendesk 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 Zendesk.

Frequently Asked Questions

With Rudderstack, integration between Databricks and Zendesk is simple. Set up a Databricks source and start sending data.
Pricing Databricks and Zendesk 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 Databricks and Zendesk.

Use the Zendesk integration with other popular sources

About Zendesk

Zendesk offers tools and services that ensure cutting-edge support and sales across various business functions. It allows businesses to serve their customers in the best way possible, enabling easy processing and resolution of customer issues.

Zendesk offers features such as live chat, call center software capabilities, and a smart knowledge base so that users can easily handle any type of customer question.

About Databricks

Storage layer that offers reliability and security on your data lake for streaming and batch operations