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DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models
Summary: DBEst revisits AQP with ML regression models and density estimators to deliver fast, accurate analytical approximations. It targets low memory, broad aggregate support, and integration with existing systems; TPC-DS and real data show gains over state-of-the-art AQP engines.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
5829
Venue
SIGMOD
Year
2019
Pagerank
9.7326398e-05
Overall Rank
1,799 | 87.66%
DOI
10.1145/3299869.3324958
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{ma_sigmod19,
title = {{DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models}},
author = {Ma, Qingzhi and Triantafillou, Peter},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3324958},
url = {https://dl.acm.org/doi/10.1145/3299869.3324958},
year = {2019}
}
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Showing 28 of 28 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
Venue
Pagerank
9
Online Aggregation
1997
SIGMOD
0.00077458002
24
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2015
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0.00054865648
32
Hive - A Warehousing Solution Over a Map-Reduce Framework
2009
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0.00050111008
54
On Random Sampling over Joins
1999
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0.00040810225
136
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1999
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0.00030123303
237
Amazon Redshift and the Case for Simpler Data Warehouses
2015
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0.0002369895
327
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1999
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330
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2015
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461
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The Making of TPC-DS
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536
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Trill: A High-Performance Incremental Query Processor for Diverse Analytics
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802
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819
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters
2016
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0.00013815639
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2011
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0.00012684342
1,108
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2017
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0.00012145154
1,198
Overview of Data Exploration Techniques
2015
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2008
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0.00010790718
1,995
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2017
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9.3403665e-05
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2017
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