Integrate your Databricks Data Warehouse with Split
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 Split and all of your other cloud tools.Easy Databricks to Split integration with 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 Split. 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 Split and RudderStackFrequently Asked QuestionsAbout Databricks
Simplify implementationSkip the custom integration and send existing data feeds to Split.
Easily send user dataAutomatically send user data to [integration, destination=TRUE] without custom code.
Easily send experiment dataAutomatically send experiment and variation details to Split without custom code.
How do you integrate Databricks with Split?
With Rudderstack, integration between Databricks and Split is simple. Set up a Databricks source and start sending data.
Is it expensive to integrate Databricks with Split?
Pricing Databricks and Split 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 Split?
Timing can vary based on your tech stack and the complexity of your data needs for Databricks and Split.
About Split
Split is a feature delivery platform that leverages experimentation, continuous delivery, and flag management features to build better, enterprise-grade software at scale. With Split, you can try out new software features, measure their performance and impact, and deploy them without worry. Turn your ideas into successful product features with ease and measure their impact on your business with the help of Split’s highly-rated A/B testing feature. You can also identify any potential issues within these features and fix them on the go.
Storage layer that offers reliability and security on your data lake for streaming and batch operations
