engleski

Extending Graph Databases with Relational Concepts

Today we have to deal with large amounts of data, and for large amounts of interconnected data graph databases represent an excellent choice. However, some concepts that are used in relational databases are still not supported in graph databases, and this could hinder their wider use. In this paper it is demonstrated how relational database concepts have been successfully transferred into graph databases, including integrity constraint support, inheritance, trigger specification, new visual query languages, etc.

Graph Databases ; Relational Databases ; Gremlin By Example ; Cypher By Example ; Integrity Constraints ; Neo4j ; Triggers ; Inheritance

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