Score: 0

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

Published: October 8, 2025 | arXiv ID: 2510.07062v1

By: Hadar Rotschield, Liat Peterfreund

Potential Business Impact:

Lets computers find patterns in connected data.

Business Areas:
Database Data and Analytics, Software

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.

Country of Origin
🇮🇱 Israel

Page Count
30 pages

Category
Computer Science:
Databases