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 |
|---|---|---|---|---|
| 1,993 | Column Imprints: A Secondary Index Structure | 2013 | SIGMOD | 9.8403548e-05 |
| 2,681 | NET-FLi: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic | 2010 | VLDB | 8.319573e-05 |
| 2,821 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD | 8.0639288e-05 |
| 3,906 | Two Birds, One Stone: A Fast, yet Lightweight, Indexing Scheme for Modern Database Systems | 2017 | VLDB | 6.6413008e-05 |
| 5,605 | Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps | 2006 | VLDB | 5.413565e-05 |
| 6,233 | Supporting RFID-based Item Tracking Applications in Oracle DBMS Using a Bitmap Datatype | 2005 | VLDB | 5.1390355e-05 |
| 7,666 | Fast Detection of Denial Constraint Violations | 2022 | VLDB | 4.6792751e-05 |
| 8,424 | Tree-Encoded Bitmaps | 2020 | SIGMOD | 4.5111681e-05 |
| 12,303 | Secondary Indexing in One Dimension: Beyond B-trees and Bitmap Indexes | 2009 | PODS | 4.1905499e-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 | 0.00045429472 |
| 828 | Bit Transposed Files | 1985 | VLDB | 0.00016141484 |
| 1,033 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.0001453376 |
| 1,701 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.00010828605 |
| 1,955 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB | 9.9641178e-05 |
| 2,065 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB | 9.6467359e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,160 | Compression Aware Physical Database Design | 2011 | VLDB | 5.1750659e-05 |
| 1,098 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD | 0.00014070252 |
| 9,633 | Compressed Spatial Hierarchical Bitmap (cSHB) Indexes for Efficiently Processing Spatial Range Query Workloads | 2015 | VLDB | 4.309053e-05 |
| 9,410 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD | 4.3399748e-05 |
| 2,065 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB | 9.6467359e-05 |
| 1,701 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.00010828605 |
| 2,821 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD | 8.0639288e-05 |
| 1,033 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.0001453376 |
| 5,605 | Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps | 2006 | VLDB | 5.413565e-05 |
| 1,955 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB | 9.9641178e-05 |