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.Easily integrate Databricks with Google Pub/Sub using 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
