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 (5 years ago) There are currently 82 committers and 32 PMC members in this project. The Committer-to-PMC ratio is roughly 3:1. Community changes, past quarter: - No new PMC members. Last addition was Hongyin Zhang on 2025-11-07. - Zhenyu Shi was added as committer on 2026-01-13 - Weihao Li was added as committer on 2026-01-13 - Zhengming Zhang was added as committer on 2026-01-16 ## Project Activity: - We released version 1.3.6 and 1.3.7 in past quarter, which fixed some bugs and security issues in 1.3.X series. - For 2.X series, We have significantly expanded the data query capabilities for our table model. Key updates include the introduction of select-into clause, and the addition of the MATCH RECOGNIZE feature, which now supports aggregate functions to efficiently capture, analyze, and calculate continuous data streams. Furthermore, we enriched the system's analytical toolkit by adding built-in scalar functions for bit manipulation and a pushdown-enabled EXTRACT time function, all specifically designed to optimize table model queries. - The community has taken a significant step forward in online schema evolution. We now support data type modifications in both the tree and table models. This presents a formidable challenge for our LSM-Tree storage engine, which is built upon the immutable TsFile format. ## Community Health: Overall community health is good. - [email protected] had a 235% increase in traffic in the past quarter (238 emails compared to 71) - There has been a lot of discussion within the community recently regarding AI-assisted programming[1][2]. Our goal is to transform the IoTDB project into an AI-Native database. [1] https://lists.apache.org/thread/43fh7z2q3h1mmy1z9grgd13dnx1xd0w7 [2] https://lists.apache.org/thread/jl94gcrv9973jj7cwfhl7zrkhr19thqr Best regards, ----------------------- Yuan Tian
