SQLStorm: Taking Database Benchmarking into the LLM Era
Summary: SQLStorm: LLM-driven methodology and v1.0 benchmark (1GB/12GB/220GB, >18K queries) that cheaply (~$15) generates large realistic SQL workloads covering far more SQL constructions than TPC‑H/DS/JOB. Enables cross-system compatibility testing, bug/crash discovery, and targeted optimizer/cardinality and performance robustness analysis. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tobias Schmidt
- 2. Viktor Leis
- 3. Peter Boncz
- 4. Thomas Neumann
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,023 | GenRewrite: Query Rewriting via Large Language Models | 2026 | SIGMOD | 5.75363e-05 |
| 9,747 | Still Asking: How Good Are Query Optimizers, Really? | 2025 | VLDB | 4.2897489e-05 |
| 9,989 | On the Vexing Difficulty of Evaluating IN Predicates | 2026 | CIDR | 4.1945683e-05 |
| 10,149 | CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations | 2026 | SIGMOD | 4.1945683e-05 |
| 10,212 | SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads | 2026 | SIGMOD | 4.1945683e-05 |
| 10,241 | Robust Predicate Transfer with Dynamic Execution | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 31 of 31 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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