Good to the Last Bit: Data-Driven Encoding with CodecDB
Summary: CodecDB is an encoding-aware columnar DB that tightly couples data-driven encoding selection with encoding-aware query operators to exploit encoded data. It attains ~90% encoding accuracy, up to 40% better compression, and ~10x TPC-H speedups and ~3x SSB speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hao Jiang (University of Chicago)
- 2. Chunwei Liu (University of Chicago)
- 3. John Paparrizos (University of Chicago)
- 4. Andrew A. Chien (University of Chicago)
- 5. Jihong Ma (Alibaba)
- 6. Aaron J. Elmore (University of Chicago)
BibTeX Citation
@inproceedings{jiang_sigmod21,
title = {{Good to the Last Bit: Data-Driven Encoding with CodecDB}},
author = {Jiang, Hao and Liu, Chunwei and Paparrizos, John and Chien, Andrew A. and Ma, Jihong and Elmore, Aaron J.},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457283},
url = {https://dl.acm.org/doi/10.1145/3448016.3457283},
year = {2021}
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