An Empirical Comparison of B-Trees, Compact B-Trees and Multiway Trees
Summary: Empirical performance comparison of B-trees, compact B-trees and multiway trees across small and large orders, evaluating search, insertion, and space costs. Results: multiway trees seldom beat B-trees in practice; compact B-trees degrade with insertions and suit static data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. David M. Arnow (Brooklyn College, City University of New York)
- 2. Aaron M. Tenenbaum (Brooklyn College, City University of New York)
BibTeX Citation
@inproceedings{arnow_sigmod84,
title = {{An Empirical Comparison of B-Trees, Compact B-Trees and Multiway Trees}},
author = {Arnow, David M. and Tenenbaum, Aaron M.},
series = {{SIGMOD} '84},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/602259.602265},
url = {https://dl.acm.org/doi/10.1145/602259.602265},
year = {1984}
}
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