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+---
+title: Product Roadmap
+---
+
+The 2025 roadmap for TDengine OSS is described in the following table.
+
+| Quarter | Feature |
+| :----- | :----- |
+| 2025Q1 |
- Virtual tables
- Query engine: conditional expressions in
REGEXP
, GREATEST
, LEAST
, and CAST
functions; improvements in single-row selection functions; time range interpolation with INTERP
- Storage engine: support for writing query results into supertables;
KEEP
parameter for supertables; performance improvements for the parameter binding interface - Stream processing: support for virtual tables; decreased compute resource usage; new mechanism for event notification; faster stream creation
- Data types: support for the decimal data type
- High availability: faster recovery from downtime; improved client failover
- Stability: LTS release TDengine 3.3.6.x
- JDBC driver: more efficient data ingestion
- Ecosystem: integration with Microsoft Excel
|
+| 2025Q2 | - Query engine: relaxed restrictions on
JOIN
queries; support for all mathematical functions in MySQL; integral, integral average, and continuous variance functions; optimization of the CSUM
function; support for COUNT(DISTINCT)
syntax; enhancements to event windows; faster filtering by tag; faster INTERP
queries - Storage engine: decreased compute resource usage for TSMAs; improved write jitter
- Stream processing: high availability of snodes
- Data types: support for the blob data type
- Data subscription: support for the MQTT protocol
- High availability: faster replica configuration changes; faster recovery from downtime for clusters; improved data recovery after power outage
- Observability: diagnostic tool for data ingestion
|
+| 2025Q3 | - Query engine: more subqueries; support for all operators in MySQL; support for all time functions in MySQL; improved window calculation; reduced jitter in query performance; support for specifying columns in count windows
- Storage engine: faster ingestion in SQL mode
- Observability: diagnostic tool for queries; improved
EXPLAIN
output; monitoring of long-running tasks
|
+| 2025Q4 | - Query engine: window functions (i.e. the
OVER
clause); support for all string, aggregation, and conditional functions in MySQL; sorting within groups for partition queries; controls for query resource usage; faster aggregate queries on subtables; time range interpolation in INTERVAL
windows - Data types: support for variable-length strings
- Caching: faster row-oriented caching
- Observability: more insight into operations and maintenance
|
+
+For more information, see [TDengine Public Roadmap](https://github.com/orgs/taosdata/projects/4).
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+---
+title: 产品路线图
+---
+
+TDengine OSS 之 2025 年年度路线图如下表所示。
+
+| 季度 | 功能 |
+| :----- | :----- |
+| 2025Q1 | - 虚拟表
- 查询能力:
REGEXP
、GREATEST
、LEAST
、CAST
函数支持判断表达式、单行选择函数的其他列值、INTERP
支持插值时间范围 - 存储能力:支持将查询结果写入超级表、超级表支持
KEEP
参数、STMT 写入性能提升 - 流计算:支持虚拟表、计算资源优化、事件通知机制、创建时间优化
- 数据类型:Decimal
- 高可用:加快宕机恢复时间、优化客户端 Failover 机制
- 稳定性:开始维护新的稳定版本 3.3.6.x
- JDBC:高效写入
- 生态工具:对接 Tableau
- 生态工具:对接 Excel
|
+| 2025Q2 | - 查询能力:大幅放宽关联查询限制、支持 MySQL 所有数学函数、支持积分/积分平均/连续方差函数、
CSUM
函数优化、COUNT(DISTINCT)
语法、事件窗口功能增强、提升标签过滤性能、提升 INTERP
查询性能 - 存储能力:TSMA 计算资源优化、写入抖动优化
- 流计算:节点高可用
- 数据类型:BLOB
- 数据订阅:支持 MQTT 协议
- 高可用:提高副本变更速度、提高集群宕机恢复速度、优化断电数据恢复机制
- 可观测性:写入诊断工具
- 生态工具:对接帆软 FineBI
|
+| 2025Q3 | - 查询能力:支持更多子查询类型、支持 MySQL 运算符、支持 MySQL 所有时间函数、窗口计算逻辑优化、查询性能抖动、计数窗口允许指定列
- 存储能力:提高 SQL 模式写入速度
- 可观测性:查询诊断工具、优化
EXPLAIN
输出、长任务观测
|
+| 2025Q4 | - 查询能力:窗口函数(
OVER
子句)、支持 MySQL 所有字符串/聚合/条件函数、Partition 支持组内排序、控制查询资源占用、提高子表聚合查询性能、INTERVAL
窗口支持插值时间范围 - 数据类型:支持不定长度字符串数据类型
- 数据缓存:提升按行缓存性能
- 可观测性:增强运维可观测性
|
+
+欲了解更多信息,请参见 [TDengine Public Roadmap](https://github.com/orgs/taosdata/projects/4).