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A Tight Lower Bound for Comparison-Based Quantile Summaries

Summary: Tight deterministic lower bound for comparison-based ε-approx quantile summaries: Ω((1/ε)·log(εN)) space, matching Greenwald–Khanna. Rules out any comparison-only summary with space f(ε)·o(log N) and yields stronger lower bounds for biased (relative-error) quantiles. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1781
Venue
PODS
Year
2020
Pagerank
5.2566971e-05
Overall Rank
5,956 | 58.57%
DOI
10.1145/3375395.3387650

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Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
4,966 Relative Error Streaming Quantiles 2021 PODS 5.7959749e-05
8,062 Together is Better: Heavy Hitters Quantile Estimation 2023 SIGMOD 4.5943269e-05
8,130 Simple & Optimal Quantile Sketch: Combining Greenwald-Khanna with Khanna-Greenwald 2024 PODS 4.5784634e-05
9,237 Determining Exact Quantiles with Randomized Summaries 2024 SIGMOD 4.3690661e-05
10,113 SplineSketch: Even More Accurate Quantiles with Error Guarantees 2026 SIGMOD 4.1945683e-05
10,198 Quantile Estimation with Duplicates 2026 SIGMOD 4.1945683e-05
11,358 Scaling Equi-Joins 2022 SIGMOD 4.1945683e-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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