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
- 2. Zheng Yan
- 3. Stratos Idreos
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,365 | FITing-Tree: A Data-aware Index Structure | 2019 | SIGMOD | 0.00012379754 |
| 2,821 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD | 8.0639288e-05 |
| 3,482 | Optimal Column Layout for Hybrid Workloads | 2019 | VLDB | 7.0514808e-05 |
| 3,893 | Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing | 2017 | VLDB | 6.653922e-05 |
| 4,160 | Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? | 2017 | SIGMOD | 6.3886736e-05 |
| 5,118 | Design Tradeoffs of Data Access Methods | 2016 | SIGMOD | 5.6781464e-05 |
| 5,316 | Cuckoo Index: A Lightweight Secondary Index Structure | 2020 | VLDB | 5.5688295e-05 |
| 7,837 | CUBIT: Concurrent Updatable Bitmap Indexing | 2025 | VLDB | 4.6342964e-05 |
| 8,424 | Tree-Encoded Bitmaps | 2020 | SIGMOD | 4.5111681e-05 |
| 10,105 | RABIT: Efficient Range Queries with Bitmap Indexing | 2026 | SIGMOD | 4.1905499e-05 |
| 10,179 | LiveBin: A Localized and Version-Aware Binned Scan Index | 2026 | SIGMOD | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 20 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00086163998 |
| 121 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00045429472 |
| 307 | SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units | 2009 | VLDB | 0.00028226342 |
| 343 | Implementing Database Operations Using SIMD Instructions | 2002 | SIGMOD | 0.00026756534 |
| 826 | Main-Memory Scan Sharing For Multi-Core CPUs | 2008 | VLDB | 0.00016161625 |
| 828 | Bit Transposed Files | 1985 | VLDB | 0.00016141484 |
| 1,033 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.0001453376 |
| 1,109 | Sybase IQ Multiplex – Designed For Analytics | 2004 | VLDB | 0.00013927106 |
| 1,701 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.00010828605 |
| 1,838 | Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing | 2014 | VLDB | 0.00010353323 |
| 5,848 | MaSM: Efficient Online Updates in Data Warehouses | 2011 | SIGMOD | 5.3023051e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,984 | On the Performance of Bitmap Indices for High Cardinality Attributes | 2004 | VLDB | 7.7768363e-05 |
| 2,065 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB | 9.6467359e-05 |
| 1,955 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB | 9.9641178e-05 |
| 1,701 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD | 0.00010828605 |
| 6,442 | Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices | 2023 | SIGMOD | 5.0541252e-05 |
| 2,550 | Updatable Learned Index with Precise Positions | 2021 | VLDB | 8.5569576e-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 |
| 10,105 | RABIT: Efficient Range Queries with Bitmap Indexing | 2026 | SIGMOD | 4.1905499e-05 |
| 7,837 | CUBIT: Concurrent Updatable Bitmap Indexing | 2025 | VLDB | 4.6342964e-05 |