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Product Roadmap

The 2026 roadmap for TDengine OSS is described in the following table.

QuarterFeature
2026Q1
  1. Storage: batch tag modification, dynamic adjustment of last cache LRU
  2. Query: subqueries, external windows, ANY/SOME/ALL/EXISTS operators, window and interpolation enhancements, Explain and ShowQueries optimization
  3. Virtual Tables: virtual table query performance optimization, subscription to virtual table metadata changes, validation of references between virtual tables and source tables
  4. Stream: triggering by natural week/month/quarter/year, true_for conditions for event and state window triggers support duration and count, grouped computation performance optimization, virtual supertable triggering supports child table additions/deletions/modifications
2026Q2
  1. Storage: multi-replica leader switching and node recovery optimization, last cache optimization (such as forced refresh, multi-column write optimization, specified column caching)
  2. Query: federated query demo version, relaxed window query restrictions, time windows support week/month/quarter/year, Interp performance improvement
  3. Functions: window functions and OVER clause
  4. Virtual Tables: virtual table inheritance, virtual tables referencing virtual tables, virtual supertable column name modification
  5. Stream: performance optimization for multiple customer scenarios, performance optimization for multi-measurement point scenarios, historical computation performance optimization, virtual table triggering performance optimization
  6. TDgpt: model lifecycle management, predictive maintenance, minute-level timezone support
2026Q3
  1. Storage: improved data splitting and migration performance, data reorganization without affecting writes, disk rate limiting
  2. Query: official release of federated queries, complex query performance optimization, scalar correlated subqueries, cumulative windows, SQL testing tools
  3. Functions: 15 customer-requested functions
  4. Virtual Tables: subscription to virtual table data through continuous queries
  5. Stream: maintainability improvement
  6. Others: TDgpt supports PCA, PLS, cluster analysis
2026Q4
  1. Storage: full and incremental backup, TEXT data type, variable-length string data type, database name modification, column name modification
  2. Query: further enhancement of join queries, query parallelization, addition of observability metrics
  3. Functions: support for MySQL operators and functions, UDF function framework refactoring
  4. Others: engine CPU and memory management