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This research aims to identify performance disparities in SQL and graph querying systems.

December 21, 2025Open Access

Towards Cross-Model Efficiency in SQL/PGQ

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Experiments reveal performance gaps in SQL and graph patterns, suggesting unified algorithms may enhance efficiency.

This research aims to identify performance disparities in SQL and graph querying systems.
Conducted experiments comparing performance of SQL and graph queries
Analyzed varying performance depending on the querying formalism used
Proposed holistic optimization strategies to enhance cross-model efficiency.
Identified performance gaps between SQL and graph querying systems
Evidence suggests distinct optimizations are currently applied to each formalism
Proposed future research to unify optimizations and close performance gaps.

Rotschield et al. (2025) studied this question.

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