List entities and relationships
Name each entity and how it connects to the others.
MINIMAL DATA MODEL DESIGNER
Data Model Designer
List your core entities and their relationships, and get the smallest practical data model for your MVP with a complexity score flagging over-engineering risk.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Check relationship coverage
The score checks that every entity has at least one defined relationship.
Flag oversized models
More than eight entities at MVP stage usually signals scope creep.
Continue learning: How to write an MVP brief · Who should own the MVP PRD?
Frequently asked questions
How many entities should an MVP data model have?
Often 3–6. More than eight at this stage is a common sign the scope has grown beyond the core flow.
Do I need to plan for scale now?
Only lightly. Add indexes when volume is expected to be large; otherwise default database settings are enough for an MVP.
Should I add an audit trail from day one?
Only if compliance or trust requires it immediately. Otherwise add it when the first real need appears.
How We Compare
| Feature | MVPHub | dbdiagram.io | Lucidchart |
|---|---|---|---|
| Complexity/over-scoping score | Included | Not included | Not included |
| Visual ER diagramming | Not included | Included | Included |
| Relationship coverage check | Included | Not included | Not included |
| Scale-aware indexing note | Included | Not included | Not included |
dbdiagram.io and Lucidchart draw entity-relationship diagrams once a model exists. MVPHub scores whether the model itself is right-sized for an MVP before you diagram it.
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