Azure Data Factory consists of two planes: the “control plane” and “data plane”. ... running Data Flows, or dispatching transform activities to other Azure services such as HDInsight, Databricks and ...

The data plane processes customer data stored in Azure PaaS, on-premise or in other clouds. The default network strategy for these services is to use public, internet facing endpoints for both the ...

Databricks includes a data plane as well as a control plane for back-end services that deliver instant compute. Its query engine is known to offer high performance via a caching layer.

Following diagram shows the architecture of databricks. The control plane is set of backend services that is controlled by databricks inline with the cloud provider that customer chooses (AWS, Azure ...

Compare Azure Synapse and Databricks for your data needs. Explore features, performance, and use cases to make an informed decision.

Internally, Databricks is using the Azure Container Services to run the Azure Databricks control-plane and data planes using containers, according to the company's technical primer.

Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform ... and this is making Databricks a first-party service on Azure.

Databricks has engineered a first-party Spark-as-a-service platform for Azure. "It allows you to quickly launch and scale up the Spark service inside the cloud on Azure," Guthrie said.