Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression
Summary: Comprehensive empirical evaluation of lossless floating-point compressors for columnar engines, measuring compression ratio, in-situ DB query performance, and ML queries (distance, k-NN/RAG); implemented in Rust and released as a library. Finds clear trade-offs: no single method dominates both space and query speed—some compressors yield higher compression but slower DB/ML query performance. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kaisei Hishida (Keio University)
- 2. Chunwei Liu (Massachusetts Institute of Technology)
- 3. John Paparrizos (Aristotle University of Thessaloniki; Ohio State University)
- 4. Aaron J. Elmore (University of Chicago)
BibTeX Citation
@article{hishida_vldb25,
title = {{Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression}},
author = {Hishida, Kaisei and Liu, Chunwei and Paparrizos, John and Elmore, Aaron J.},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4396--4409},
doi = {10.14778/3749646.3749701},
url = {https://doi.org/10.14778/3749646.3749701},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,094 | Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods | 2025 | VLDB | 5.601767e-05 |
| 10,469 | HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series | 2026 | SIGMOD | 4.9793485e-05 |
| 10,483 | MUFASA: Fast and Accurate Multivariate Time-Series Clustering | 2026 | SIGMOD | 4.9793485e-05 |
| 10,510 | The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] | 2026 | SIGMOD | 4.9793485e-05 |
| 10,849 | Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 36 of 36 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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