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Pixels: Multiversion Wide Table Store for Data Lakes

Summary: Pixels: a multiversion wide-table store for data lakes that optimizes physical layout and access for hundred-to-thousand-column tables, addressing random-dominated reads and rapid schema/data evolution on object/file storage. Reports >10× query speedups vs. state-of-the-art column stores while providing efficient metadata and user-data evolution and still applicable to non-wide tables. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h3f8750f2d105ef31
Venue
CIDR
Year
2020
Pagerank
4.9605343e-05
Overall Rank
12,095 | 18.93%
DOI
-
PDF
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BibTeX Citation

@inproceedings{bian_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{Pixels: Multiversion Wide Table Store for Data Lakes}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Bian, Haoqiong},
        year = {2020}
}

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

Rank Cited Paper Year Venue Pagerank
2,634 WideTable: An Accelerator for Analytical Data Processing 2014 VLDB 8.1797149e-05
7,054 Wide Table Layout Optimization based on Column Ordering and Duplication 2017 SIGMOD 5.5956321e-05
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