Integrate your Databricks Data Warehouse with Pendo
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 Pendo and all of your other cloud tools.Easily integrate Databricks with Pendo using RudderStackRudderStack’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 Pendo. 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 Pendo and RudderStackFrequently Asked QuestionsAbout Databricks
Enable real-time dataAutomatically send real-time data to marketing analytics, product analytics and business analytics tools.
Cross-platform trackingTrack the entire user journey across platforms without the technical headache.
Hot-swap analytics toolsSend existing data feeds to new analytics tools with a few clicks.
How do you integrate Databricks with Pendo?
With Rudderstack, integration between Databricks and Pendo is simple. Set up a Databricks source and start sending data.
Is it expensive to integrate Databricks with Pendo?
Pricing Databricks and Pendo 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 Databricks with Pendo?
Timing can vary based on your tech stack and the complexity of your data needs for Databricks and Pendo.
About Pendo
Pendo is a product analytics platform built for software development companies to understand their customers better. It enables companies to provide customers with personalized and guided product journeys. Pendo helps product teams easily understand product usage, onboard new users, collect feedback, and release new in-app features without requiring any engineering resources.
Storage layer that offers reliability and security on your data lake for streaming and batch operations
