Charting the Design Space of Query Execution using VOILA
Summary: VOILA is a DSL-driven framework to synthesize diverse query engines and formalize their semantics for automated exploration of the engine design space. Backends enable data-centric compilation and vectorized execution (AVX-512); thousands of engines were generated, delivering near state-of-the-art performance and up to 35.5x speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tim Gubner (Centrum Wiskunde & Informatica)
- 2. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{gubner_vldb21,
title = {{Charting the Design Space of Query Execution using VOILA}},
author = {Gubner, Tim and Boncz, Peter},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {1067--1079},
doi = {10.14778/3447689.3447709},
url = {https://doi.org/10.14778/3447689.3447709},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,253 | Declarative Sub-Operators for Universal Data Processing | 2023 | VLDB | 5.940599e-05 |
| 6,263 | Database Technology for the Masses: Sub-Operators as First-Class Entities | 2021 | VLDB | 5.936052e-05 |
| 7,461 | Bringing Compiling Databases to RISC Architectures | 2023 | VLDB | 5.611858e-05 |
| 8,368 | Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA | 2023 | VLDB | 5.4419148e-05 |
| 10,070 | Darwin: Scale-In Stream Processing | 2022 | CIDR | 5.1633991e-05 |
| 10,072 | Query Compilation Without Regrets | 2024 | SIGMOD | 5.1624689e-05 |
| 10,662 | Data Chunk Compaction in Vectorized Execution | 2025 | SIGMOD | 5.093636e-05 |
| 11,120 | Welding Natural Language Queries to Analytics IRs with LLMs | 2024 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 5,132 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD |
| 2 | 5,376 | Evolution of a Compiling Query Engine | 2021 | VLDB |
| 3 | 8,057 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD |
| 4 | 3,003 | Configuration-Parametric Query Optimization for Physical Design Tuning | 2008 | SIGMOD |
| 5 | 649 | Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask | 2018 | VLDB |
| 6 | 12,486 | Visualizing the robustness of query execution | 2009 | CIDR |
| 7 | 534 | Building Efficient Query Engines in a High-Level Language | 2014 | VLDB |
| 8 | 10,008 | Towards Unifying Query Interpretation and Compilation | 2023 | CIDR |
| 9 | 1,797 | How to Architect a Query Compiler | 2016 | SIGMOD |
| 10 | 8,368 | Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA | 2023 | VLDB |