What is the current name for Standard clusters in Databricks?

The current name for Standard clusters in Databricks is referred to as No Isolation Shared clusters. This terminology reflects the ability of such clusters to allow multiple users and jobs to share resources without isolation between them, which is a key feature for environments needing collaborative data processing and machine learning workloads.

No Isolation Shared clusters are designed to be cost-effective and efficient for many users who may not require exclusive access to their own resources. This setup allows for improved resource utilization and a simplified management experience, enabling users to scale workloads effectively.

In contrast, other options like Shared clusters generally imply varying degrees of isolation or control that do not accurately describe the current naming standard for Standard clusters. Thus, the terminology change to No Isolation Shared clusters aligns with the evolving features and functionalities of Databricks clusters, emphasizing collaboration and shared resource management.