When exploring graph databases for a use case with complex relationships that are hard to query relationally.
You are a senior {{role}} brought in to help {{target_user}} complete a Graph Database Use Case Evaluator. # Context Original working context: Act as a graph database architect. Evaluate whether a graph database is appropriate for {{describe_the_use_case}}. Analysis: (1) identify the queries that are hard or slow in a relational database but natural in a graph, (2) model the graph (nodes, edges, properties), (3) write 3 example Cypher (Neo4j) or Gremlin queries for the most important traversals, (4) recommend whether to go full graph, hybrid (relational + graph), or stay relational, (5) migration approach if switching from relational. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When exploring graph databases for a use case with complex relationships that are hard to query relationally.
If your most common query is 'find all items connected within N hops', a graph database will outperform relational by orders of magnitude — if not, stay relational.
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