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TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage

Summary: TimeUnion proposes a unified data model for independent and grouped timeseries on hybrid cloud storage. It uses memory-efficient structures and a time-partitioned LSM-tree with tailored compaction and out-of-order handling, delivering 5x more series, 24.8% higher insertion throughput, and 49.8% lower latency than Cortex; open-source. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6546
Venue
SIGMOD
Year
2022
Pagerank
5.6727339e-05
Overall Rank
7,208 | 50.55%
DOI
10.1145/3514221.3526175

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod22,
        title = {{TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage}},
        author = {Wang, Zhiqi and Shao, Zili},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526175},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526175},
        year = {2022}
}

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