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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Systems Thinking Evaporating Cloud |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 60-120 min | Halber Tag pro Domain Slice | 2-4 h |
Participantsdifferent | 1-6 | 2-8 | 1-4 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphModelingSemantic | Theory of ConstraintsAssumptionsSystems thinking | Knowledge graphValidationSemantic | OntologyKnowledge graphScopeRequirementsSemantic |