Types of Relations
One-to-Many
One record in Object A can be linked to many records in Object B.
Example: One Company can have many People (employees).
Many-to-One
Many records in Object A can be linked to one record in Object B.
Example: Many People can belong to one Company.
Relations to Multiple Object Types
Some objects can link to multiple object types on one side of the relation.
Example: A Note can be attached to one Person AND one Company AND one Opportunity simultaneously. The Note is on the “many” side, connecting to multiple “one” sides.
Similarly, a Project (on the “one” side) could receive links from multiple People, multiple Companies, and multiple Notes.
Import/Export limitation: Relations pointing to multiple object types are not yet supported for CSV import/export. This is on our roadmap.
Many-to-Many
Many records in Object A can be linked to many records in Object B.
Example: Many People can be linked to many Projects, and vice versa.
Many-to-Many is not yet supported.This relation type is planned for H1 2026. As a workaround, create an intermediate “junction” object (e.g., “Project Assignments”) that has Many-to-One relations to both objects.
Creating a Relation Field
- Go to Settings → Data Model
- Select the object where you want to add the relation
- Click + Add Field
- Select Relation as the field type
- Choose the target object(s) to relate to
- Configure the relation settings:
- Field name on source object: The name of the relation field on the object you’re editing
- Field name on destination object: The name of the relation field that will appear on the target object
- Relation type (one-to-many, many-to-one)
- Klikněte na Uložit
Standard Relations
Twenty comes with pre-built relations between standard objects:
| From Object | To Object | Relation Type |
|---|
| Osoby | Společnosti | Many-to-One |
| Příležitosti | Společnosti | Many-to-One |
| Příležitosti | Osoby | Many-to-One |
Osvědčené postupy
Planning Relations
- Map your data model: Plan relations before creating them
- Consider direction: Think about which object “owns” the relationship
- Avoid circular dependencies: Keep your data model clean
Naming Relations
- Use clear names: Make it obvious what the relation represents
- Be consistent: Use similar naming patterns across relations
- Consider both sides: Name both sides of the relation appropriately
- Don’t over-relate: Too many relations can slow down your workspace
Limitations
- Deleting relations removes the link but not the related records
- Circular relations should be avoided for data integrity
