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DuckPGQ: Efficient Property Graph Queries in an analytical RDBMS

Summary: Adds SQL/PGQ to DuckDB with a compact graph layout and multi-source/-dest path-finding implemented as vectorized UDFs to minimize integration debt. Scaled on large graphs in evals, exposes need for WCOJ and factorized processing research. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
490
Venue
CIDR
Year
2023
Pagerank
5.7291934e-05
Overall Rank
6,999 | 51.99%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wolde_cidr23,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '23},
        title = {{DuckPGQ: Efficient Property Graph Queries in an analytical RDBMS}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wolde, Daniel ten and Singh, Tavneet and Szárnyas, Gábor and Boncz, Peter},
        year = {2023}
}

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