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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
374
Venue
CIDR
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,742 | 19.44%
DOI
-

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Authors

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
2,599 WideTable: An Accelerator for Analytical Data Processing 2014 VLDB 8.3583572e-05
6,896 Wide Table Layout Optimization based on Column Ordering and Duplication 2017 SIGMOD 5.7440611e-05
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