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Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine


BSTRACT Apache Arrow DataFusion is a fast, embeddable, and extensible query engine written in Rust that uses Apache Arrow as its memory model. In this paper we describe the technologies on which it is built, and how it fits in long-term database implementation trends.

Association for Computing Machinery, New York, NY, USA, 87--91. https://doi.org/10.1145/3277104.3277119 Google Scholar Digital Library Jesús Camacho-Rodríguez, Ashutosh Chauhan, Alan Gates, Eugene Koifman, Owen O'Malley, Vineet Garg, Zoltan Haindrich, Sergey Shelukhin, Prasanth Jayachandran, Siddharth Seth, Deepak Jaiswal, Slim Bouguerra, Nishant Bangarwa, Sankar Hariappan, Anishek Agarwal, Jason Dere, Daniel Dai, Thejas Nair, Nita Dembla, Gopal Vijayaraghavan, and Günther Hagleitner. In VLDB 2000, Proceedings of 26th International Conference on Very Large Data Bases, September 10--14, 2000, Cairo, Egypt, Amr El Abbadi, Michael L. Brodie, Sharma Chakravarthy, Umeshwar Dayal, Nabil Kamel, Gunter Schlageter, and Kyu-Young Whang (Eds.). In Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30 - September 2, 2005, Klemens Böhm, Christian S. Jensen, Laura M. Haas, Martin L. Kersten, Per-Åke Larson, and Beng Chin Ooi (Eds.).

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