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STEED: An Analytical Database System for TrEE-structured Data

Summary: STEED learns a dataset’s schema tree and exploits prevalent simple paths in analytical JSON/Protocol Buffer data, avoiding worst-case generality. Specialized storage, column assembly, and in-memory layouts deliver orders-of-magnitude faster analysis than PostgreSQL/JSON, MongoDB, and Hive+Parquet. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11668
Venue
VLDB
Year
2017
Pagerank
5.599684e-05
Overall Rank
7,557 | 48.16%
DOI
10.14778/3137765.3137803

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb17,
        title = {{STEED: An Analytical Database System for TrEE-structured Data}},
        author = {Wang, Zhiyi and Zhou, Dongyan and Chen, Shimin},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        doi = {10.14778/3137765.3137803},
        url = {https://doi.org/10.14778/3137765.3137803},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,069 JSON Tiles: Fast Analytics on Semi-Structured Data 2021 SIGMOD 6.9276175e-05
8,879 Native JSON Datatype Support: Maturing SQL and NoSQL convergence in Oracle Database 2020 VLDB 5.3527678e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
51 Dremel: Interactive Analysis of Web-Scale Datasets 2010 VLDB 0.0004291425
1,738 Sinew: A SQL System for Multi-Structured Data 2014 SIGMOD 9.8823494e-05
2,800 JSON Data Management – Supporting Schema-less Development in RDBMS 2014 SIGMOD 8.1124117e-05
6,385 Exploiting Common Patterns for Tree-Structured Data 2017 SIGMOD 5.8899875e-05
7,312 Closing the functional and Performance Gap between SQL and NoSQL 2016 SIGMOD 5.6480976e-05
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