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Exploiting Common Patterns for Tree-Structured Data

Summary: Real-world tree data shows largely simple root-to-leaf paths, with at most one repeated node. Steed, a native analytical DB for tree data, optimizes simple-path processing, delivering up to 1.74x gains over baseline and orders of magnitude faster than PostgreSQL, MongoDB, and Hive+Parquet. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5384
Venue
SIGMOD
Year
2017
Pagerank
5.8899875e-05
Overall Rank
6,385 | 56.20%
DOI
10.1145/3035918.3035956

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod17,
        title = {{Exploiting Common Patterns for Tree-Structured Data}},
        author = {Wang, Zhiyi and Chen, Shimin},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035956},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035956},
        year = {2017}
}

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