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amazon-web-servicesapache-sparkpysparkdatabricksaws-databricks

Difference between group and users in Databricks


In Databricks while creating a scope we can either give user level permission or can add group. What's the difference between both? Can someone from outside the workspace be included in a group?


Solution

  • Group as it name implies, groups multiple objects (users and/or service principals) under the given name. There are two types of groups - workspace level (exist only inside workspace) and account level (exist in account and could be attached to multiple workspaces).

    To be member of a group you need to be either member of workspace (for workspace-level groups) or account (for account-level).