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)
Incoming Non-self Citations Over Time
Authors
- 1. Kesheng Wu
- 2. Ekow Otoo
- 3. Arie Shoshani
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,989 | Column Imprints: A Secondary Index Structure | 2013 | SIGMOD | 9.8478437e-05 |
| 2,681 | NET-FLi: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic | 2010 | VLDB | 8.3232427e-05 |
| 2,862 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD | 7.9898539e-05 |
| 3,912 | Two Birds, One Stone: A Fast, yet Lightweight, Indexing Scheme for Modern Database Systems | 2017 | VLDB | 6.6354964e-05 |
| 5,596 | Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps | 2006 | VLDB | 5.4181535e-05 |
| 6,199 | Supporting RFID-based Item Tracking Applications in Oracle DBMS Using a Bitmap Datatype | 2005 | VLDB | 5.1605194e-05 |
| 7,667 | Fast Detection of Denial Constraint Violations | 2022 | VLDB | 4.683767e-05 |
| 8,430 | Tree-Encoded Bitmaps | 2020 | SIGMOD | 4.5154973e-05 |
| 12,295 | Secondary Indexing in One Dimension: Beyond B-trees and Bitmap Indexes | 2009 | PODS | 4.1945683e-05 |
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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 |
|---|---|---|---|---|
| 121 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00045447517 |
| 832 | Bit Transposed Files | 1985 | VLDB | 0.00016152615 |
| 1,035 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.00014532778 |
| 1,704 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.000108332 |
| 1,951 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB | 9.9685919e-05 |
| 2,061 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB | 9.6529345e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,157 | Compression Aware Physical Database Design | 2011 | VLDB | 5.1801143e-05 |
| 1,100 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD | 0.00014072277 |
| 9,633 | Compressed Spatial Hierarchical Bitmap (cSHB) Indexes for Efficiently Processing Spatial Range Query Workloads | 2015 | VLDB | 4.3131863e-05 |
| 9,404 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD | 4.3441378e-05 |
| 2,061 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB | 9.6529345e-05 |
| 1,704 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.000108332 |
| 2,862 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD | 7.9898539e-05 |
| 1,035 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.00014532778 |
| 5,596 | Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps | 2006 | VLDB | 5.4181535e-05 |
| 1,951 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB | 9.9685919e-05 |