Adaptive Quotient Filters
Summary: AdaptiveQF: practical adaptive quotient filter with minimal overhead and strong guarantees. Auxiliary structure preserves quotient-filter traits; on-disk B-trees show no penalty, adversaries no slowdown, and skewed workloads reach 100× fewer false positives with ~0.001 bit/item. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Richard Wen (University of Maryland)
- 2. Hunter McCoy (University of Utah)
- 3. David Tench (Lawrence Berkeley National Laboratory)
- 4. Guido Tagliavini (Rutgers University)
- 5. Michael A. Bender (State University of New York at Stony Brook)
- 6. Alex Conway (Cornell Tech)
- 7. Martin Farach-Colton (New York University)
- 8. Rob Johnson (VMware)
- 9. Prashant Pandey (University of Utah)
BibTeX Citation
@inproceedings{wen_sigmod24,
title = {{Adaptive Quotient Filters}},
author = {Wen, Richard and McCoy, Hunter and Tench, David and Tagliavini, Guido and Bender, Michael A. and Conway, Alex and Farach-Colton, Martin and Johnson, Rob and Pandey, Prashant},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3677128},
url = {https://dl.acm.org/doi/10.1145/3677128},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,678 | Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding | 2026 | SIGMOD | 5.1258854e-05 |
| 9,682 | Sphinx: A Succinct Perfect Hash Index for x86 | 2025 | VLDB | 5.1258854e-05 |
| 10,589 | To Adapt or Not to Adapt, That is the Ski Question | 2026 | SIGMOD | 4.9605343e-05 |
| 10,687 | Aeris Filter: A Strongly and Monotonically Adaptive Range Filter | 2026 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 402 | Monkey: Optimal Navigable Key-Value Store | 2017 | SIGMOD | 0.00019070605 |
| 791 | Don't Thrash: How to Cache Your Hash on Flash | 2012 | VLDB | 0.00013927839 |
| 937 | A Modeling Study of the TPC-C Benchmark | 1993 | SIGMOD | 0.00012958462 |
| 1,483 | Skew in Parallel Query Processing | 2014 | PODS | 0.00010500209 |
| 1,856 | Morton Filters: Faster, Space-Efficient Cuckoo Filters via Biasing, Compression, and Decoupled Logical Sparsity | 2018 | VLDB | 9.4802321e-05 |
| 1,882 | Storage Management in AsterixDB | 2014 | VLDB | 9.4243119e-05 |
| 2,081 | A General-Purpose Counting Filter: Making Every Bit Count | 2017 | SIGMOD | 9.0581443e-05 |
| 3,720 | Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design | 2021 | SIGMOD | 7.0516727e-05 |
| 4,646 | Stacked Filters: Learning to Filter by Structure | 2021 | VLDB | 6.4725846e-05 |
| 5,680 | Skew-Aware Join Optimization for Array Databases | 2015 | SIGMOD | 6.0233693e-05 |
| 12,112 | Timely Reporting of Heavy Hitters using External Memory | 2020 | SIGMOD | 4.9605343e-05 |
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| 1 | 11,787 | A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams | 2023 | SIGMOD |
| 2 | 4,646 | Stacked Filters: Learning to Filter by Structure | 2021 | VLDB |
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| 4 | 10,183 | A four-dimensional Analysis of Partitioned Approximate Filters | 2021 | VLDB |
| 5 | 10,519 | Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters | 2026 | SIGMOD |
| 6 | 11,913 | Workload-Adaptive Filtering in Storage Engines | 2022 | SIGMOD |
| 7 | 2,081 | A General-Purpose Counting Filter: Making Every Bit Count | 2017 | SIGMOD |
| 8 | 8,162 | Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams | 2013 | VLDB |
| 9 | 3,720 | Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design | 2021 | SIGMOD |
| 10 | 10,589 | To Adapt or Not to Adapt, That is the Ski Question | 2026 | SIGMOD |