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Databricks Mode Analytics

Integrate your Databricks Data Warehouse with Mode Analytics

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 Mode Analytics and all of your other cloud tools.

Easy Databricks to Mode Analytics integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your Databricks Data Warehouse to track event data and automatically send it to Mode Analytics. 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 Mode Analytics
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
With Rudderstack, integration between Databricks and Mode Analytics is simple. Set up a Databricks source and start sending data.
Pricing Databricks and Mode Analytics 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 Mode Analytics.
Use the Mode Analytics integration with other popular sources
About Mode Analytics

Mode Analytics is a SQL-based collaborative data analytics platform that enables you to analyze, visualize, and share data. Mode Analytics combines SQL, R, Python, and visual analytics, all in a single platform, built specifically for data scientists and data analysts.

With Mode Analytics, you can also carry out interactive visualizations on millions of rows at once.

About Databricks

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