UmbraPerf - Profiling Results Tailored for DBMS Developers
Summary: UmbraPerf maps sampled profiling data to DBMS abstractions—from query-plan operators to generated code—by combining samples with metadata for code‑generating DBMSs. Its interactive frontend provides multi-level visualizations to drill from operator hotspots to instructions. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Alexander Beischl (Technical University of Munich)
- 2. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{beischl_vldb25,
title = {{UmbraPerf - Profiling Results Tailored for DBMS Developers}},
author = {Beischl, Alexander and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5291--5294},
doi = {10.14778/3750601.3750654},
url = {https://doi.org/10.14778/3750601.3750654},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056855599 |
| 373 | Umbra: A Disk-Based System with In-Memory Performance | 2020 | CIDR | 0.00019711632 |
| 7,907 | A Practical Approach to Groupjoin and Nested Aggregates | 2021 | VLDB | 5.4287568e-05 |
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