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An Evaluation of Methods of Compressing Doubles

Summary: Empirical comparison of double-precision compression methods across real-world data: time series, featurized ML data, and machine logs. Comparative focus on compression ratio and throughput, revealing dataset-driven tradeoffs for data-management workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5847
Venue
SIGMOD
Year
2020
Pagerank
4.1945683e-05
Overall Rank
11,574 | 19.49%
DOI
10.1145/3318464.3384415

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Rank Cited Paper Year Venue Pagerank
210 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.0003404384
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