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Presented at the Fourth openCypher Implementers Meeting
Numerous graph use cases require continuous evaluation of queries over a constantly changing data set, e.g. fraud detection in financial systems, recommendations, and checking integrity constraints. For relational systems, incremental view maintenance has been researched for three decades, resulting in a wide body of literature. The property graph data model and the openCypher language, however, are recent developments, and therefore lack established techniques to perform efficient view maintenance. In this talk, we give an overview of the view maintenance problem for property graphs, discuss why it is particularly difficult and present an approach that tackles a meaningful subset of the language.