Orca: A Modular Query Optimizer Architecture for Big Data
Summary: Orca proposes a modular, portable query-optimizer architecture for big data, reusable across Greenplum and HAWQ. It merges state-of-the-art optimization with original research, delivering a portable framework and measurable performance advantages over competing systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohamed A. Soliman (Pivotal)
- 2. Lyublena Antova (Pivotal)
- 3. Venkatesh Raghavan (Pivotal)
- 4. Amr El-Helw (Pivotal)
- 5. Zhongxian Gu (Pivotal)
- 6. Entong Shen (Pivotal)
- 7. George C. Caragea (Pivotal)
- 8. Carlos Garcia-Alvarado (Pivotal)
- 9. Foyzur Rahman (Pivotal)
- 10. Michalis Petropoulos (Pivotal)
- 11. Florian Waas (Datometry)
- 12. Sivaramakrishnan Narayanan (Qubole Inc.)
- 13. Konstantinos Krikellas (Google)
- 14. Rhonda Baldwin (Pivotal)
BibTeX Citation
@inproceedings{soliman_sigmod14,
title = {{Orca: A Modular Query Optimizer Architecture for Big Data}},
author = {Soliman, Mohamed A. and Antova, Lyublena and Raghavan, Venkatesh and El-Helw, Amr and Gu, Zhongxian and Shen, Entong and Caragea, George C. and Garcia-Alvarado, Carlos and Rahman, Foyzur and Petropoulos, Michalis and Waas, Florian and Narayanan, Sivaramakrishnan and Krikellas, Konstantinos and Baldwin, Rhonda},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2558855.2559637},
url = {https://dl.acm.org/doi/10.1145/2558855.2559637},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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