Integrate your Databricks Data Warehouse with Google Pub/Sub
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 Google Pub/Sub and all of your other cloud tools.Easy Databricks to Google Pub/Sub 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 Google Pub/Sub. 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 Google Pub/Sub and RudderStackFrequently Asked QuestionsAbout Databricks
Stream behavioral dataEasily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloadsModify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelinesAutomatically send user behavior data directly to Google Pub/Sub.
How do you integrate Databricks with Google Pub/Sub?
With Rudderstack, integration between Databricks and Google Pub/Sub is simple. Set up a Databricks source and start sending data.
Is it expensive to integrate Databricks with Google Pub/Sub?
Pricing Databricks and Google Pub/Sub 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 Google Pub/Sub?
Timing can vary based on your tech stack and the complexity of your data needs for Databricks and Google Pub/Sub.
About Google Pub/Sub
Google Pub/Sub is a real-time asynchronous messaging service that allows you to send and receive messages between independent applications. You can use Pub/Sub as a messaging middleware for your traditional service integrations or for ingesting and delivering events for your streaming analytics pipeline. Google Pub/Sub is designed to be a highly reliable and scalable messaging service focusing on minimizing latency. It offers auto-scaling and auto-provisioning features and support for open APIs and client libraries for cross-cloud and hybrid deployments.
Storage layer that offers reliability and security on your data lake for streaming and batch operations
