Integrate your Databricks Data Warehouse with Confluent Cloud
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 Confluent Cloud and all of your other cloud tools.Easy Databricks to Confluent Cloud 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 Confluent Cloud. 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 Confluent Cloud and RudderStackFrequently Asked QuestionsAbout Databricks
Send data anywhereAutomatically send data to any destination that supports webhooks
Customize event payloadsEasily modify payloads to meet the requirements of multiple webhook destinations
Ingest from any webhookAutomatically ingest data from any source that supports webhooks
How do you integrate Databricks with Confluent Cloud?
With Rudderstack, integration between Databricks and Confluent Cloud is simple. Set up a Databricks source and start sending data.
Is it expensive to integrate Databricks with Confluent Cloud?
Pricing Databricks and Confluent Cloud 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 Confluent Cloud?
Timing can vary based on your tech stack and the complexity of your data needs for Databricks and Confluent Cloud.
About Confluent Cloud
Confluent Cloud is a cloud-native event streaming platform powered by Apache Kafka. It is a simple, scalable, and secure event streaming platform built for cloud-first enterprises and agile developers.
Powered by Apache Kafka, it is simple, secure, and simplifies data ingestion and processing on all the major clouds. With Confluent Cloud, you can easily handle large-scale data workloads without compromising on performance.
Storage layer that offers reliability and security on your data lake for streaming and batch operations
