Hello,

You can use Workspace System tables to get an overview of each workspace in your Databricks account for both Azure and AWS and combine them to build a global view.​

These tables let you query key metadata such as workspace ID, name, URL, cloud, and lifecycle status from the system.access.workspaces_latest table.​
You can then join this with other system tables like system.billing.usage or compute/system tables to enrich your overview with usage, cost, and compute details per workspace.​
By running these queries in a central account-level warehouse, you can regularly export the results (for example,  to a dashboard) and use them as a single inventory of all workspaces across clouds.