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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
11395
Venue
VLDB
Year
2015
Pagerank
5.8077717e-05
Overall Rank
6,669 | 54.25%
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}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0020210012
1,978 Optimizing Multidimensional Index Trees for Main Memory Access 2001 SIGMOD 9.3627341e-05
4,740 An Experimental Analysis of Iterated Spatial Joins in Main Memory 2013 VLDB 6.5283833e-05
5,740 A Benchmark for Evaluating Moving Object Indexes 2008 VLDB 6.1035012e-05
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