Camel: Efficient Compression of Floating-Point Time Series

Summary: Camel compresses floating-point time series by separating integer and fractional parts and selecting values that maximize compression, rather than XORing with the previous point. It also provides an index over compressed data for efficient querying and, across 22 public and 3 AliCloud industrial datasets, outperforms 11 lossless and 6 lossy baselines in compression ratio and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7038
Venue: SIGMOD
Year: 2024
Pagerank: 5.3959098e-05
Overall Rank: 8,635 | 40.76%
DOI: 10.1145/3698802

Incoming Non-self Citations Over Time

Authors

1. Yuanyuan Yao (Zhejiang University)
2. Lu Chen (Zhejiang University)
3. Ziquan Fang (Zhejiang University)
4. Yunjun Gao (Zhejiang University)
5. Christian S. Jensen (Aalborg University)
6. Tianyi Li (Aalborg University)

BibTeX Citation

@inproceedings{yao_sigmod24,
        title = {{Camel: Efficient Compression of Floating-Point Time Series}},
        author = {Yao, Yuanyuan and Chen, Lu and Fang, Ziquan and Gao, Yunjun and Jensen, Christian S. and Li, Tianyi},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3698802},
        url = {https://dl.acm.org/doi/10.1145/3698802},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,258	Kangaroo: Efficient Lossless Floating-Point Compression via Dynamic Reference Selection	2026	SIGMOD	5.093636e-05
10,619	DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data	2026	VLDB	5.093636e-05
10,923	Improving Time Series Data Compression in Apache IoTDB	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
148	Gorilla: A Fast, Scalable, In-Memory Time Series Database	2015	VLDB	0.00029250767
1,364	Chimp: Efficient Lossless Floating Point Compression for Time Series Databases	2022	VLDB	0.00011020069
1,688	Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees	2009	VLDB	0.00010003536
1,973	ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra	2018	VLDB	9.3673522e-05
3,540	Elf: Erasing-based Lossless Floating-Point Compression	2023	VLDB	7.3282654e-05
4,398	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB	6.7248611e-05
4,496	Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging	2023	VLDB	6.6622617e-05
5,498	SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting	2023	VLDB	6.1972571e-05
6,002	Compression of Uncertain Trajectories in Road Networks	2020	VLDB	6.0133202e-05
7,813	TRACE: Real-time Compression of Streaming Trajectories in Road Networks	2021	VLDB	5.5390003e-05

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#	Overall Rank	Paper	Year	Venue
1	6,556	Hierarchical Residual Encoding for Multiresolution Time Series Compression	2023	SIGMOD
2	3,221	Camel: Managing Data for Efficient Stream Learning	2022	SIGMOD
3	10,980	Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression	2025	VLDB
4	3,269	ALP: Adaptive Lossless floating-Point Compression	2023	SIGMOD
5	7,892	Serf: Streaming Error-Bounded Floating-Point Compression	2025	SIGMOD
6	10,619	DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data	2026	VLDB
7	11,770	An Evaluation of Methods of Compressing Doubles	2020	SIGMOD
8	3,540	Elf: Erasing-based Lossless Floating-Point Compression	2023	VLDB
9	10,258	Kangaroo: Efficient Lossless Floating-Point Compression via Dynamic Reference Selection	2026	SIGMOD
10	1,364	Chimp: Efficient Lossless Floating Point Compression for Time Series Databases	2022	VLDB