Apache TsFile: An IoT-native Time Series File Format

Summary: Introduces Apache TsFile, an IoT-native time-series file format that organizes data by device and builds device-centric indexes to exploit device/sensor semantics and cloud–edge sync patterns. Design targets high ingestion, low-latency access and compact on-disk layout, positioning TsFile as a standardized, device-aware storage layer for large-scale IoT deployments. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13794
Venue: VLDB
Year: 2024
Pagerank: 5.3119028e-05
Overall Rank: 9,156 | 37.19%
DOI: 10.14778/3685800.3685827

Incoming Non-self Citations Over Time

Authors

1. Xin Zhao (Tsinghua University)
2. Jialin Qiao (Timecho Limited)
3. Xiangdong Huang (Tsinghua University)
4. Chen Wang (Timecho Limited)
5. Shaoxu Song (Tsinghua University)
6. Jianmin Wang (Tsinghua University)

BibTeX Citation

@article{zhao_vldb24,
        title = {{Apache TsFile: An IoT-native Time Series File Format}},
        author = {Zhao, Xin and Qiao, Jialin and Huang, Xiangdong and Wang, Chen and Song, Shaoxu and Wang, Jianmin},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4064--4076},
        doi = {10.14778/3685800.3685827},
        url = {https://doi.org/10.14778/3685800.3685827},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,277	F3: The Open-Source Data File Format for the Future	2026	SIGMOD	5.2937431e-05
10,245	FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series	2026	SIGMOD	5.093636e-05
10,464	Improving LZ4 for Effective Compression and Efficient Query	2026	SIGMOD	5.093636e-05
10,901	STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid Storage	2025	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 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
51	Dremel: Interactive Analysis of Web-Scale Datasets	2010	VLDB	0.0004291425
148	Gorilla: A Fast, Scalable, In-Memory Time Series Database	2015	VLDB	0.00029250767
2,706	Major Technical Advancements in Apache Hive	2014	SIGMOD	8.2287564e-05
3,793	Apache IoTDB: A Time Series Database for IoT Applications	2023	SIGMOD	7.1217835e-05
3,877	An Empirical Evaluation of Columnar Storage Formats	2024	VLDB	7.0532293e-05
4,762	Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB	2022	VLDB	6.519484e-05
5,037	A Deep Dive into Common Open Formats for Analytical DBMSs	2023	VLDB	6.3914026e-05
6,640	Understanding Insights into the Basic Structure and Essential Issues of Table Placement Methods in Clusters	2013	VLDB	5.8162526e-05
7,033	Frequency Domain Data Encoding in Apache IoTDB	2023	VLDB	5.7222622e-05
9,199	On Repairing Timestamps for Regular Interval Time Series	2022	VLDB	5.3058708e-05
11,381	Grouping Time Series for Efficient Columnar Storage	2023	SIGMOD	5.093636e-05

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