Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
Summary: Rust-based, Arrow-backed embeddable analytic query engine with a fast, modular design. Open architecture with 10+ extension APIs delivers competitive performance against DuckDB and enables bespoke data infrastructures across databases, ML pipelines, and OLAP workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Andrew Lamb (InfluxData)
- 2. Yijie Shen (Space and Time)
- 3. Daniël Heres (Coralogix)
- 4. Jayjeet Chakraborty (University of California Santa Cruz)
- 5. Mehmet Ozan Kabak (Synnada)
- 6. Liang-Chi Hsieh (Apple)
- 7. Chao Sun (Apple)
BibTeX Citation
@inproceedings{lamb_sigmod24,
title = {{Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine}},
author = {Lamb, Andrew and Shen, Yijie and Heres, Daniël and Chakraborty, Jayjeet and Kabak, Mehmet Ozan and Hsieh, Liang-Chi and Sun, Chao},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626246.3653368},
url = {https://dl.acm.org/doi/10.1145/3626246.3653368},
year = {2024}
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