Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like?
Summary: Analysis of 667M BI queries on Snowflake over two weeks, characterizing production analytic workloads at cloud scale across industries. Reveals detailed filter/join/aggregation behaviors and uncovers workload patterns absent from standard benchmarks, guiding DB research. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jan Vincent Szlang (Snowflake)
- 2. Sebastian Bress (Snowflake)
- 3. Sebastian Cattes (Snowflake)
- 4. Jonathan Dees (Snowflake)
- 5. Florian Funke (Snowflake)
- 6. Max Heimel (Snowflake)
- 7. Michel Oleynik (Snowflake)
- 8. Ismail Oukid (Snowflake)
- 9. Tobias Maltenberger (Snowflake)
BibTeX Citation
@article{szlang_vldb25,
title = {{Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like?}},
author = {Szlang, Jan Vincent and Bress, Sebastian and Cattes, Sebastian and Dees, Jonathan and Funke, Florian and Heimel, Max and Oleynik, Michel and Oukid, Ismail and Maltenberger, Tobias},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5126--5138},
doi = {10.14778/3750601.3750632},
url = {https://doi.org/10.14778/3750601.3750632},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,744 | SQLStorm: Taking Database Benchmarking into the LLM Era | 2025 | VLDB | 6.1019672e-05 |
| 10,593 | Global Hash Tables Strike Back! An Analysis of Parallel GROUP BY Aggregation | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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