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On the Performance of Bitmap Indices for High Cardinality Attributes

Summary: Systematic analysis of BBC and WAH bitmap compression for high-cardinality attributes; proposes a strategy to select the optimal scheme. Compressed bitmap indices remain smaller than B-trees and viable for both low and high cardinalities. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9372
Venue
VLDB
Year
2004
Pagerank
8.1382209e-05
Overall Rank
2,773 | 80.98%
DOI
10.1016/B978-012088469-8.50006-1

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wu_vldb04,
        title = {{On the Performance of Bitmap Indices for High Cardinality Attributes}},
        author = {Wu, Kesheng and Otoo, Ekow and Shoshani, Arie},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {24--35},
        doi = {10.1016/B978-012088469-8.50006-1},
        url = {https://doi.org/10.1016/B978-012088469-8.50006-1},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
104 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00033932213
794 Bitmap Index Design and Evaluation 1998 SIGMOD 0.00013969303
1,136 Bit Transposed Files 1985 VLDB 0.00012027691
1,464 An Efficient Bitmap Encoding Scheme for Selection Queries 1999 SIGMOD 0.00010689981
1,867 Performance Measurements of Compressed Bitmap Indices 1999 VLDB 9.5903618e-05
1,894 Optimizing Queries On Compressed Bitmaps 2000 VLDB 9.5268052e-05
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