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Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems

Summary: Cloud-native Lindorm TSDB: distributed TSDB optimized for massive active metrics, high write throughput, low multi-metric query latency, and stable performance during node scaling. Unique SQL-exposed time-series ML (anomaly detection, forecasting) and superior benchmarks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13389
Venue
VLDB
Year
2023
Pagerank
5.214913e-05
Overall Rank
9,817 | 32.65%
DOI
10.14778/3611540.3611559

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{shen_vldb23,
        title = {{Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems}},
        author = {Shen, Chunhui and Ouyang, Qianyu and Li, Feibo and Liu, Zhipeng and Zhu, Longcheng and Zou, Yujie and Su, Qing and Yu, Tianhuan and Yi, Yi and Hu, Jianhong and Zheng, Cen and Wen, Bo and Zheng, Hanbang and Xu, Lunfan and Pan, Sicheng and Wu, Bin and He, Xiao and Li, Ye and Tan, Jian and Wang, Sheng and Pei, Dan and Zhang, Wei and Li, Feifei},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3715--3727},
        doi = {10.14778/3611540.3611559},
        url = {https://doi.org/10.14778/3611540.3611559},
        year = {2023}
}

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