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modules/ROOT/pages/appendix/graphdb-concepts/graphdb-vs-rdbms.adoc

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[#rdbms-graph-model]
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== Data model differences
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Despite similarities, the design of a xref:data-modeling/index.adoc[graph data model] still needs to be based upon requirements for access, queries, performance expectation, and business logic.
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The data models for relational and graph databases are vastly different, as a result of the structural differences previously described.
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The graph model needs to consider access requirements, expected queries and performance, as well as business logic.
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For example, if you want to know which departments Alice belongs to, this is how a relational and a graph databases structure the same data:
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In Cypher, the syntax remains concise and focused on domain components and their connections, thus expressing the pattern to find or create data more visually and clearly.
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Other clauses outside of the basic pattern matching still look very similar to SQL, as Cypher was built on the predecessor language’s foundation.
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You can see the similarities and differences in ref:/cypher-intro/cypher-sql.adoc[Comparing Cypher with SQL].
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You can see the similarities and differences xref:/cypher-intro/cypher-sql.adoc[Comparing Cypher with SQL].
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== Keep learning
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