Approximate Query Processing: No Silver Bullet
Summary: State of the art of Approximate Query Processing; progress notable but limited in product impact. Proposes two concrete avenues to integrate AQP into data platforms (architecture, tooling) to realize practical value. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Surajit Chaudhuri (Microsoft)
- 2. Bolin Ding (Microsoft)
- 3. Srikanth Kandula (Microsoft)
BibTeX Citation
@inproceedings{chaudhuri_sigmod17,
title = {{Approximate Query Processing: No Silver Bullet}},
author = {Chaudhuri, Surajit and Ding, Bolin and Kandula, Srikanth},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3055918.3056097},
url = {https://dl.acm.org/doi/10.1145/3055918.3056097},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 51 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,152 | An Effective Syntax for Bounded Relational Queries | 2016 | SIGMOD | 5.2177821e-05 |
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| 7 | 11,079 | Efficient Approximate Query Processing with Block Sampling | 2025 | CIDR |
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| 10 | 6,004 | Approximate Query Engines: Commercial Challenges and Research Opportunities | 2017 | SIGMOD |