Integrate your Databricks Data Warehouse with Hotjar

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 Hotjar and all of your other cloud tools.

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Easy Databricks to Hotjar 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 Hotjar. 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 Hotjar and RudderStack

Enable real-time data

Automatically send real-time data to marketing analytics, product analytics and business analytics tools.

Cross-platform tracking

Track the entire user journey across platforms without the technical headache.

Hot-swap analytics tools

Send existing data feeds to new analytics tools with a few clicks.

Frequently Asked Questions

How do you integrate Databricks with Hotjar?

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

Is it expensive to integrate Databricks with Hotjar?

Pricing Databricks and Hotjar 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 Hotjar?

Timing can vary based on your tech stack and the complexity of your data needs for Databricks and Hotjar.

Use the Hotjar integration with other popular sources

Nuxt.js

Jamstack Frameworks

Gatsby

Jamstack Frameworks

RudderStack Databricks Documentation

Refer to our step-by-step guide and start using Databricks today

About Hotjar

Product experience insights tool that gives you and feedback data to help you empathize with and understand your customers

About Databricks

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