SQLStorm: Taking Database Benchmarking into the LLM Era
Summary: LLM-driven methodology generates SQLStorm: 18K+ realistic queries across 1–220 GB for only $15. Broad SQL coverage beyond TPC-H/DS/JOB enables compatibility testing, bug discovery, optimizer/cardinality-estimation research, and robust performance evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tobias Schmidt (Technical University of Munich)
- 2. Viktor Leis (Technical University of Munich)
- 3. Peter Boncz (Centrum Wiskunde & Informatica)
- 4. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{schmidt_vldb25,
title = {{SQLStorm: Taking Database Benchmarking into the LLM Era}},
author = {Schmidt, Tobias and Leis, Viktor and Boncz, Peter and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4144--4157},
doi = {10.14778/3749646.3749683},
url = {https://doi.org/10.14778/3749646.3749683},
year = {2025}
}
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