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The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to:
Devise a list of desired features and functionalities of a graph query language.
Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues.
Provide a better understanding of the design space and state-of-the-art.
Develop proposals for changes to existing query languages or even a new graph query language.
This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads.
This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.