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Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类 SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce 和 Apache Spark 集成以进行分析。
相关研究论文如下：
- PISA: An Index for Aggregating Big Time Series Data
(opens new window), Xiangdong Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM 2016. - Matching Consecutive Subpatterns over Streaming Time Series (opens new window), Rong Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM 2018.
- KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping (opens new window), Jiaye Wu and Peng Wang and Chen Wang and Wei Wang and Jianmin Wang. ICDE 2019.
- The Design of Apache IoTDB distributed framework (opens new window), Tianan Li, Jianmin Wang, Xiangdong Huang, Yi Xu, Dongfang Mao, Jun Yuan. NDBC 2019
- Dual-PISA: An index for aggregation operations on time series data (opens new window), Jialin Qiao, Xiangdong Huang, Jianmin Wang, Raymond K Wong. IS 2020
Benchmark工具
我们还研发了面向时间序列数据库的 Benchmark 工具：
