A Smarter, Faster, and More Secure TDengine
TDengine 3.3.8 marks another major step forward in performance, intelligence, and enterprise-grade reliability. This release focuses on accelerating analytics, reducing storage costs, and enhancing security for industrial and IoT data workloads at scale. From multi-level small materialized aggregates (SMA) to AI-powered data, TDengine TSDB continues to evolve as the most complete time-series data foundation for real-time operations and AI-driven insights.
Highlights
Smarter Aggregation with Multi-Level SMAs
TDengine 3.3.8 introduces a more advanced small materialized aggregate (SMA) system to deliver lightning-fast queries and optimized storage.
- Block-Level SMAs speed up reads by storing recent data in highly compressed columnar blocks, reducing disk I/O.
- Rollup SMAs automatically downsample historical data for long-term analytics and cost-efficient lifecycle management.
- Time-Based SMAs enable real-time aggregations for dashboards and monitoring applications.
Together, these SMA options bring faster queries, better compression, and lower TCO for customers managing large numbers of time-series data points.
AI-Assisted Data Imputation with TDgpt
TDengine 3.3.8 supports data imputation with TDgpt, using AI to intelligently interpolate missing time-series values without altering original data. This feature helps users maintain continuous, evenly spaced datasets, ideal for analytics, forecasting, and AI training pipelines.
Full TLS Support
This release completes end-to-end TLS encryption for all database connections, ensuring confidentiality and integrity across every communication channel. Whether you deploy TDengine on-premises, in the cloud, or at the edge, your data is now fully protected in transit and ready for enterprise compliance.
Performance and Scalability Enhancements
- TDengine’s stream processing engine has been optimized to improve throughput and stability in high-volume industrial and IoT scenarios.
LAST()queries are up to 10x faster in certain scenarios, significantly improving real-time data latency.- Thread and vgroup optimization ensures better concurrency and lower CPU utilization across distributed clusters.
With these improvements, TDengine continues to set the performance standard for time-series workloads at scale.
Designed for Real-Time, AI-Driven Data Management
TDengine TSDB 3.3.8 continues our commitment to making time-series data simpler to manage, faster to query, and easier to scale. From industrial systems to IoT platforms, it provides a solid foundation for collecting, storing, and analyzing massive volumes of operational data, delivering reliability, efficiency, and insight without added complexity.
Upgrade today to TDengine TSDB 3.3.8 and experience faster queries, smarter analytics, and the most advanced data management features ever built into the TDengine platform.
Get Started
