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Spaces are the primary access control and organizational boundaries in CDF’s data modeling system. Each space acts as a namespace for containers, views, data models, and instances. Spaces control who can read and write data within them. For the conceptual overview, see Spaces and instances.

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What are spaces

A space is a logical container that groups all data modeling resources for a domain or project. Everything you create in the data modeling system—containers, views, data models, and instances—belongs to a space. Spaces provide clear boundaries for data ownership and access.
You must create a space before you can add containers, views, or data models. Space names must be unique within your CDF project.

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Access control

Spaces govern permissions for the resources they contain. Access control lists (ACLs) define which users and groups can read or write data within a space. By organizing data into spaces, you can apply fine-grained access control at the space level.

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Key capabilities

  • Create — Create new spaces for organizing your data modeling resources.
  • Update — Modify space metadata or access control settings.
  • Delete — Remove spaces when they are no longer needed. This may require that dependent resources are removed first.
  • List — List all spaces in your CDF project.
  • Retrieve — Fetch a specific space by ID or external ID.
Last modified on April 23, 2026