DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees
Summary: DDSketch, a fast, fully-mergeable quantile sketch with formal relative-error guarantees. First to provide true relative-error bounds under skew and seamless merge across distributed streams; practical and deployed (Datadog). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Charles Masson
- 2. Jee E. Rim
- 3. Homin K. Lee
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 126 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00044744986 |
| 323 | Gigascope: A Stream Database for Network Applications | 2003 | SIGMOD | 0.00027492196 |
| 326 | Optimal Histograms with Quality Guarantees | 1998 | VLDB | 0.00027358981 |
| 402 | Mergeable Summaries | 2012 | PODS | 0.00024196343 |
| 905 | The Design of an Acquisitional Query Processor For Sensor Networks | 2003 | SIGMOD | 0.0001546195 |
| 1,487 | Scuba: Diving into Data at Facebook | 2013 | VLDB | 0.00011701099 |
| 2,748 | REHIST: Relative Error Histogram Construction Algorithms | 2004 | VLDB | 8.1785955e-05 |
| 2,953 | Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries | 2018 | VLDB | 7.8267643e-05 |
| 2,955 | Space- and Time-Efficient Deterministic Algorithms for Biased Quantiles over Data Streams | 2006 | PODS | 7.8239173e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,162 | Estimating Quantiles from the Union of Historical and Streaming Data | 2017 | VLDB | 4.3849295e-05 |
| 4,076 | Quantiles over Data Streams: An Experimental Study | 2013 | SIGMOD | 6.4680854e-05 |
| 8,062 | Together is Better: Heavy Hitters Quantile Estimation | 2023 | SIGMOD | 4.5943269e-05 |
| 3,808 | SketchML: Accelerating Distributed Machine Learning with Data Sketches | 2018 | SIGMOD | 6.7455428e-05 |
| 5,627 | KLL± Approximate Quantile Sketches over Dynamic Datasets | 2021 | VLDB | 5.403782e-05 |
| 2,953 | Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries | 2018 | VLDB | 7.8267643e-05 |
| 4,966 | Relative Error Streaming Quantiles | 2021 | PODS | 5.7959749e-05 |
| 10,198 | Quantile Estimation with Duplicates | 2026 | SIGMOD | 4.1945683e-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 |