UpBit: Scalable In-Memory Updatable Bitmap Indexing
Summary: UpBit delivers scalable, in-memory updatable bitmap indexing with a main bitvector and a sparse update bitvector. Fence pointers in update bitvectors enable fast access; 15–29x faster updates and competitive reads vs update- and read-optimized baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manos Athanassoulis (Harvard University)
- 2. Zheng Yan (Harvard University; University of Maryland)
- 3. Stratos Idreos (Harvard University)
BibTeX Citation
@inproceedings{athanassoulis_sigmod16,
title = {{UpBit: Scalable In-Memory Updatable Bitmap Indexing}},
author = {Athanassoulis, Manos and Yan, Zheng and Idreos, Stratos},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915964},
url = {https://dl.acm.org/doi/10.1145/2882903.2915964},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00068998927 |
| 107 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00033460288 |
| 219 | SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units | 2009 | VLDB | 0.00024363532 |
| 287 | Implementing Database Operations Using SIMD Instructions | 2002 | SIGMOD | 0.00021970198 |
| 705 | Main-Memory Scan Sharing For Multi-Core CPUs | 2008 | VLDB | 0.00014657491 |
| 773 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.00014084831 |
| 980 | Sybase IQ Multiplex – Designed For Analytics | 2004 | VLDB | 0.00012720677 |
| 1,151 | Bit Transposed Files | 1985 | VLDB | 0.00011808563 |
| 1,497 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.00010478458 |
| 1,622 | Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing | 2014 | VLDB | 0.00010051462 |
| 5,637 | MaSM: Efficient Online Updates in Data Warehouses | 2011 | SIGMOD | 6.0569403e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,819 | On the Performance of Bitmap Indices for High Cardinality Attributes | 2004 | VLDB |
| 2 | 1,930 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB |
| 3 | 1,896 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB |
| 4 | 1,497 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD |
| 5 | 5,537 | Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices | 2023 | SIGMOD |
| 6 | 1,550 | Updatable Learned Index with Precise Positions | 2021 | VLDB |
| 7 | 773 | Bitmap Index Design and Evaluation | 1998 | SIGMOD |
| 8 | 5,600 | Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps | 2006 | VLDB |
| 9 | 10,591 | RABIT: Efficient Range Queries with Bitmap Indexing | 2026 | SIGMOD |
| 10 | 7,481 | CUBIT: Concurrent Updatable Bitmap Indexing | 2025 | VLDB |