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Spatial Joins in Main Memory: Implementation Matters!

Summary: Reexamines ten in-memory spatial joins, showing that implementation choices—not just algorithms or data structures—can dominate runtime. A careful reimplementation of the previously worst method outperforms all competitors, challenging conclusions drawn from main-memory benchmarks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hc19fb1ac49c8daea
Venue
VLDB
Year
2015
Pagerank
5.6798855e-05
Overall Rank
6,797 | 54.31%
DOI
10.14778/2735508.2735509

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sidlauskas_vldb15,
        title = {{Spatial Joins in Main Memory: Implementation Matters!}},
        author = {Šidlauskas, Darius and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {1},
        pages = {97--100},
        doi = {10.14778/2735508.2735509},
        url = {https://doi.org/10.14778/2735508.2735509},
        year = {2015}
}

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