Query Compilation Without Regrets
Summary: Nautilus: an operator framework that keeps an imperative, interpretation-style C++ development model while recovering compilation-level performance. Core idea is a trace-based, multi-backend JIT that bridges easy engine engineering and high-speed execution. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Philipp M. Grulich (Technical University of Berlin)
- 2. Aljoscha P. Lepping (Technical University of Berlin)
- 3. Dwi P. A. Nugroho (Technical University of Berlin)
- 4. Bonaventura Del Monte (Observe Inc.)
- 5. Varun Pandey (Technical University of Berlin)
- 6. Steffen Zeuch (Technical University of Berlin)
- 7. Volker Markl (DFKI GmbH; Technical University of Berlin)
BibTeX Citation
@inproceedings{grulich_sigmod24,
title = {{Query Compilation Without Regrets}},
author = {Grulich, Philipp M. and Lepping, Aljoscha P. and Nugroho, Dwi P. A. and Del Monte, Bonaventura and Pandey, Varun and Zeuch, Steffen and Markl, Volker},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654968},
url = {https://dl.acm.org/doi/10.1145/3654968},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,370 | NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications | 2025 | SIGMOD | 5.5407456e-05 |
| 10,448 | EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines | 2026 | SIGMOD | 4.9793485e-05 |
| 10,914 | FastCompose: Eliminating Compilation Cold Starts in Query Execution with Composition | 2026 | VLDB | 4.9793485e-05 |
| 13,630 | Mobility Stream Processing on NebulaStream and MEOS | 2025 | SIGMOD | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 39 of 39 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1 | 495 | Building Efficient Query Engines in a High-Level Language | 2014 | VLDB |
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| 3 | 12,012 | Low-Latency Compilation of SQL Queries to Machine Code | 2021 | VLDB |
| 4 | 4,793 | Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling | 2021 | VLDB |
| 5 | 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB |
| 6 | 2,419 | How to Architect a Query Compiler, Revisited | 2018 | SIGMOD |
| 7 | 5,455 | Evolution of a Compiling Query Engine | 2021 | VLDB |
| 8 | 10,193 | Towards Unifying Query Interpretation and Compilation | 2023 | CIDR |
| 9 | 1,742 | How to Architect a Query Compiler | 2016 | SIGMOD |
| 10 | 4,525 | Just-in-time compilation for SQL query processing | 2013 | VLDB |