Intelligent Automated Workload Analysis for Database Replatforming
Summary: qInsight automates deep workload analysis for database replatforming, extracting features and structural signals from queries via Hyper-Q beyond standard profilers. It scores rewrite difficulty with expert judgment, guiding migration order, as shown on 1.7B real-world queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amirhossein Aleyasen (Datometry; University of Illinois Urbana-Champaign)
- 2. Mark Morcos (Datometry)
- 3. Lyublena Antova (Datometry)
- 4. Marc Sugiyama (Datometry)
- 5. Dmitri Korablev (Datometry)
- 6. Jozsef Patvarczki (Datometry)
- 7. Rima Mutreja (Datometry)
- 8. Michael Duller (Datometry)
- 9. Florian M. Waas (Datometry)
- 10. Marianne Winslett (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{aleyasen_sigmod22,
title = {{Intelligent Automated Workload Analysis for Database Replatforming}},
author = {Aleyasen, Amirhossein and Morcos, Mark and Antova, Lyublena and Sugiyama, Marc and Korablev, Dmitri and Patvarczki, Jozsef and Mutreja, Rima and Duller, Michael and Waas, Florian M. and Winslett, Marianne},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526050},
url = {https://dl.acm.org/doi/10.1145/3514221.3526050},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,686 | TDSQL: Tencent Distributed Database System | 2024 | VLDB | 5.5676271e-05 |
| 8,846 | Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? | 2025 | VLDB | 5.3580184e-05 |
| 11,290 | Presto’s History-based Query Optimizer | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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