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 ...

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 ...

The Databricks service is designed to streamline the process of starting and running large-scale big data analytics and machine learning workloads. Close Latest News ...

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.

The Azure Databricks service is supposed to give them an easier experience of running big data jobs than rolling their own Spark deployment, and offers a deeper level of compatibility with ...

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.