Demonstration of VerdictDB, the Platform-Independent AQP System
Summary: VerdictDB is a platform-independent AQP middleware at the driver, rewriting queries with no DB-internal changes. It employs variational subsampling for SQL-friendly error estimates, yielding up to 100x speedups with near-exact results on Spark SQL and Redshift; open-source under Apache 2.0. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wen He (University of Michigan)
- 2. Yongjoo Park (University of Michigan)
- 3. Idris Hanafi (University of Michigan)
- 4. Jacob Yatvitskiy (University of Michigan)
- 5. Barzan Mozafari (University of Michigan)
BibTeX Citation
@inproceedings{he_sigmod18,
title = {{Demonstration of VerdictDB, the Platform-Independent AQP System}},
author = {He, Wen and Park, Yongjoo and Hanafi, Idris and Yatvitskiy, Jacob and Mozafari, Barzan},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3193538},
url = {https://dl.acm.org/doi/10.1145/3183713.3193538},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 772 | VerdictDB: Universalizing Approximate Query Processing | 2018 | SIGMOD | 0.00014147905 |
| 5,785 | BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees | 2019 | SIGMOD | 6.0892672e-05 |
| 9,392 | A Step Toward Deep Online Aggregation | 2023 | SIGMOD | 5.2755515e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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