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Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics

Summary: Timon is a timestamped event DB for real-time telemetry, enabling exact-once semantics with out-of-order data via late-data append at the low watermark. It pairs an in-memory TS-LSM-Tree with a time-partitioned on-disk index, enabling lazy aggregation and materialized views for cross-stream analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5958
Venue
SIGMOD
Year
2020
Pagerank
7.5187553e-05
Overall Rank
3,326 | 77.19%
DOI
10.1145/3318464.3386136

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cao_sigmod20,
        title = {{Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics}},
        author = {Cao, Wei and Gao, Yusong and Li, Feifei and Wang, Sheng and Lin, Bingchen and Xu, Ke and Feng, Xiaojie and Wang, Yucong and Liu, Zhenjun and Zhang, Gejin},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3386136},
        url = {https://dl.acm.org/doi/10.1145/3318464.3386136},
        year = {2020}
}

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