HI all, Reading this, it seems the project is progressing with a good pace … unfortunately, as a PMC member only able to participate via Mailing lists, I am pretty much cut off from anything the project is working on.
Chris Von: Yuan Tian <[email protected]> Datum: Montag, 1. Dezember 2025 um 12:33 An: dev <[email protected]> Betreff: IoTDB quarter report (2025 Q4) Hi all, This is the draft of the IoTDB quarter report, let me know if I missed anything. ## Description: The mission of Apache IoTDB is the creation and maintenance of software related to an IoT native database with high performance for data management and analysis. ## Project Status: Current project status: Ongoing with high activity. Issues for the board: no. ## Membership Data: Apache IoTDB was founded 2020-09-16 (4 years ago) There are currently 79 committers and 32 PMC members in this project. The Committer-to-PMC ratio is roughly 5:2. Community changes, past quarter: - Hongyin Zhang was added to the PMC on 2025-11-07 - Xintao Lin was added as committer on 2025-09-09 ## Project Activity: - We released version 1.3.5 in past quarter, which fixed some bugs in 1.3.X series. - For 2.X series, the compatibility of the table model with standard SQL has been further enhanced, achieving full support for all set operations, optimizing the data query performance in memtables, and enabling the modification of encoding and compression types for sequences in the tree model. - The community has three key focus areas for its future development: 1. Attempt to extend a new data type (OBJECT) designed for storing large binary objects, enabling IoTDB to be applied to data storage scenarios in meteorological, audio and video fields. 2. Integrate Python-based User-Defined Functions (UDFs) to further enhance IoTDB’s data analytics capabilities. 3. Online Schema Change: support online modification of table names and column names. This is a highly challenging task. To maintain the self-parsability of TsFile, we redundantly store certain metadata in each data file, which means conventional methods would require rewriting nearly all TsFiles. ## Community Health: Overall community health is good. - [email protected] had a 23% decrease in traffic in the past quarter (74 emails compared to 96) - A PhD candidate from Renmin University of China developed a project named CompressIoTDB[1] based on IoTDB, pioneering the introduction of Homomorphic Compression (HC) theory into the time series domain. This work is designed to address the core trade-off between compression and query performance in traditional time series databases. By executing queries directly on compressed data, it significantly improves query throughput and reduces resource consumption, and has been published in PVLDB 2025.[2] - Given that IoTDB’s release cycle may be relatively long, Colin Shi, a contributor to the IoTDB community, developed a tool. Powered by AI, this tool can search for commits related to error-causing issues, enabling the copying of such commits to the branch of the previous official release (ahead of IoTDB’s next official release) to generate a functional package.[3] [1] https://github.com/yuxin370/CompressIoTDB [2] Tang, Yuxin, et al. "Improving Time Series Data Compression in Apache IoTDB." Proceedings of the VLDB Endowment 18.10 (2025): 3406-3420. [3] https://lists.apache.org/thread/q1mzqwwb2ohjyodf6h3cq5m9f3qpcsw7 Best regards, ----------------------- Yuan Tian
