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| Criterion |  Engineering Golden Path |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Competency Questions |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 Tage Setup, laufend | 4-8 h initial, dann iterativ | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | EngineeringProductivityGovernance | Knowledge graphModelingSemantic | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |