On the Expressiveness of Languages for Querying Property Graphs in Relational Databases

SQL/PGQ is the emerging ISO standard for querying property graphs defined as views over relational data. We formalize its expressive power across three fragments: the read-only core, the read-write extension, and an extended variant with richer view definitions. Our results show that graph creation plays a central role in determining the expressiveness. The read-only fragment is strictly weaker than the read-write fragment, and the latter is still below the complexity class NL. Extending view definitions with arbitrary arity identifiers closes this gap: the extended fragment captures exactly NL. This yields a strict hierarchy of SQL/PGQ fragments, whose union covers all NL queries. On ordered structures the hierarchy collapses: once arity-2 identifiers are allowed, higher arities add no power, mirroring the classical transitive-closure collapse and underscoring the central role of view construction in property graph querying.

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Publication Details

Journal
Proceedings of the ACM on Management of Data
Published
2025-11-10
DOI
https://doi.org/10.1145/3767715
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
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article

On the Expressiveness of Languages for Querying Property Graphs in Relational Databases

Liat Peterfreund, Hadar Rotschield
Proceedings of the ACM on Management of Data
Advanced Database Systems and Queries
article

On the Expressiveness of Languages for Querying Property Graphs in Relational Databases

Liat Peterfreund, Hadar Rotschield
article en

Abstract

SQL/PGQ is the emerging ISO standard for querying property graphs defined as views over relational data. We formalize its expressive power across three fragments: the read-only core, the read-write extension, and an extended variant with richer view definitions. Our results show that graph creation plays a central role in determining the expressiveness. The read-only fragment is strictly weaker than the read-write fragment, and the latter is still below the complexity class NL. Extending view definitions with arbitrary arity identifiers closes this gap: the extended fragment captures exactly NL. This yields a strict hierarchy of SQL/PGQ fragments, whose union covers all NL queries. On ordered structures the hierarchy collapses: once arity-2 identifiers are allowed, higher arities add no power, mirroring the classical transitive-closure collapse and underscoring the central role of view construction in property graph querying.

Proceedings of the ACM on Management of DataVol. 3(5)
Hebrew University of Jerusalem (IL)
Openalex Percentile: Top 61%
Advanced Database Systems and Queries
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