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    Graph Database

    AI fundamentals & modelsGraph DB
    Editorially reviewed on: 3 sources
    Your reading view

    The short answer · 12 words

    In short

    A graph database stores and queries entities and relationships as a graph.

    Flow-alerta.cab (2026): Graph Database. https://flow-alerta.cab/en/glossar/graph-database. Editorially reviewed on: 10 October 2026.

    How much detail would you like?

    Practical

    It is suitable for highly linked data, but may be unnecessary for simple table queries.

    Hypothetical example: A spare parts catalogue connects components, machines, suppliers and compatibilitys.

    First model specific relationship queries and see if a graph database justifies the extra effort.

    At a glance

    Core
    Graph databases store linked data for relationship and path queries. In the property-graph model, nodes and relationships can carry properties. RDF uses subject-predicate-object-triple. Data model and query language differ by system.
    Use
    It is suitable for highly linked data, but may be unnecessary for simple table queries.
    Example
    Hypothetical example: A spare parts catalogue connects components, machines, suppliers and compatibilitys.
    Limits
    Build a graph model without access patterns; ignore relational strengths; neglect permissions and data quality.

    In context

    Graph Traversal

    Graph Traversal visits nodes and edges of a graph according to a search strategy.

    Questions about this term

    Is a graph database AI? No. RDF or Property Graph? Depending on semantics and queries.

    All details and background

    Graph databases store linked data for relationship and path queries. In the property-graph model, nodes and relationships can carry properties. RDF uses subject-predicate-object-triple. Data model and query language differ by system.

    ELI5 – Explained simply

    Data is stored as things and their direct connections.

    Why it matters in practice

    It is suitable for highly linked data, but may be unnecessary for simple table queries.

    Example

    Hypothetical example: A spare parts catalogue connects components, machines, suppliers and compatibilitys.

    Pitfalls and limits

    • Build a graph model without access patterns; ignore relational strengths; neglect permissions and data quality.

    Origin & history

    RDF 1.1 Concepts was published in 2014 as W3C Recommendation; the property graph model is also documented in systems such as Neo4j.

    Use in mid-sized companies

    • First model specific relationship queries and see if a graph database justifies the extra effort.

    Related terms

    Matching Flow-alerta service

    AI opportunity analysis & roadmapAI consulting: Examine tasks, data and prerequisites of a possible AI use case.

    Matching tool / use case

    View use casesNeo4j and Cypher for Property Graphs; RDF data model for semantic relationships.

    Sources

    Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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