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GQL and SQL/PGQ: Theoretical Models and Expressive Power

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Formal study examines expressiveness of GQL and SQL/PGQ in querying property graphs, implying significant design improvements are necessary.

A formal study identifies expressiveness gaps in both GQL and SQL/PGQ for querying property graphs, highlighting the need for design improvements.
Concise core languages, Core PGQ and Core GQL, showcase differences in evaluation approaches, confirming the necessity to extend capabilities.
The experimental analysis reveals existing workarounds in GQL and PGQ are impractical, underscoring design deficiencies in language structure.
Rapid industrial development of querying standards has far outpaced academic research, necessitating foundational models for formal study.

Gheerbrant et al. (2025) studied this question.

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Formal study examines expressiveness of GQL and SQL/PGQ in querying property graphs, implying significant design improvements are necessary.