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SetSketch: Filling the Gap between MinHash and HyperLogLog

Summary: SetSketch bridges MinHash and HyperLogLog with a commutative, idempotent insert and mergeable state for distributed sketches. It delivers fast, robust estimators for cardinality and joint quantities, enables similarity search, and its joint estimator often outperforms state-of-the-art on related structures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12589
Venue
VLDB
Year
2021
Pagerank
6.0619574e-05
Overall Rank
5,864 | 59.77%
DOI
10.14778/3476249.3476276

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ertl_vldb21,
        title = {{SetSketch: Filling the Gap between MinHash and HyperLogLog}},
        author = {Ertl, Otmar},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {11},
        pages = {2244--2257},
        doi = {10.14778/3476249.3476276},
        url = {https://doi.org/10.14778/3476249.3476276},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,666 Efficient framework for operating on data sketches 2023 VLDB 5.3884066e-05
9,188 OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates 2024 VLDB 5.3058708e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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