White-box Compression: Learning and Exploiting Compact Table Representations
Summary: White-box compression encodes logical columns as functions over stored physical columns with per-block headers, enabling DBMS-aware optimizations and execution (e.g., predicate push-down). A recursive pattern-driven learner discovers these functions, yielding large compression gains on the Public BI benchmark. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bogdan Ghiță
- 2. Diego Tomé
- 3. Peter Boncz
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 132 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.00043697853 |
| 241 | DB2 with BLU Acceleration: So Much More than Just a Column Store | 2013 | VLDB | 0.00031314629 |
| 659 | The Making of TPC-DS | 2006 | VLDB | 0.00018514913 |
| 796 | SageDB: A Learned Database System | 2019 | CIDR | 0.00016541749 |
| 1,260 | Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation | 2016 | SIGMOD | 0.00012990853 |
| 2,137 | How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations | 2006 | VLDB | 9.463768e-05 |
| 2,153 | The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models | 2018 | SIGMOD | 9.418541e-05 |
| 5,114 | Columnstore and B+ tree – Are Hybrid Physical Designs Important? | 2018 | SIGMOD | 5.6813929e-05 |
| 5,677 | Joins on Encoded and Partitioned Data | 2014 | VLDB | 5.376511e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,741 | DeepSqueeze: Deep Semantic Compression for Tabular Data | 2020 | SIGMOD | 6.7952067e-05 |
| 9,414 | Experimental Analysis of Large-scale Learnable Vector Storage Compression | 2024 | VLDB | 4.3399748e-05 |
| 8,360 | Query Log Compression for Workload Analytics | 2019 | VLDB | 4.5314883e-05 |
| 8,444 | Adaptive Compression for Fast Scans on String Columns | 2021 | SIGMOD | 4.5043421e-05 |
| 9,595 | High-Ratio Compression for Machine-Generated Data | 2023 | SIGMOD | 4.3153078e-05 |
| 6,160 | Compression Aware Physical Database Design | 2011 | VLDB | 5.1750659e-05 |
| 7,431 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD | 4.7274757e-05 |
| 4,469 | Comprehensive and Efficient Workload Compression | 2021 | VLDB | 6.1535623e-05 |
| 7,171 | Leveraging Compression in the Tableau Data Engine | 2014 | SIGMOD | 4.8071091e-05 |
| 1,098 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD | 0.00014070252 |