So far, the number of installed instances of TDengine has exceeded 100k and spread all over the world. Among the users are not only a large number of small and medium-sized enterprises, but also many Global 500 companies, including NIO, Li Auto, JD.com, SF Express and so on. A large of portion of users use the TDengine’s open source community edition, but a certain percentage of users purchased the enterprise edition or professional services.
TDengine users mainly come from the fields of Internet of Things, Industrial Internet, connected vehicles, Logistics, IT infrastructure monitoring, smart cities, and electric power. To find out how TDengine is used in their scenarios, please check the case studies below.
- When MySQL Choked, TDengine Came to the Rescue, and Processed Hundreds of Millions of Records
Yunda Express added TDengine to their architecture when MySQL could no longer handle the growing volume of hundreds of millions of daily records. - TDengine In A Smart Heating Network Monitoring and Energy Analysis System
As MySQL started becoming a bottleneck for storage and query latency, TDengine was the considered choice in an IoT Smart Heating and Energy Monitoring System. - By Replacing ElasticSearch with TDengine, Storage Efficiency is Increased by 8X
NavInfo’s data storage system was under great pressure to process massive amounts of vehicle location tracking data—there were about 20 million location records per minute. The ElasticSearch platform they used not only caused a serious waste of physical resources, but … Read more - Migrating from MySQL & HBase to TDengine for the NIO Power IoT Platform
To manage a fast-growing EV charging infrastructure and ensure a great charging experience for customers at home and on the road, NIO Power chose TDengine as the foundation for their IoT platform. - Migrating to TDengine from MongoDB and TiDB for the IoT Platform at Li Auto
After reaching performance limits with MongoDB and TiDB, Li Auto chose TDengine for their high-performance IoT and Big Data platform. - Building a Comprehensive Monitoring and Predictive Maintenance System for Green Energy Operations
To build a scalable, fast and comprehensive monitoring and predictive maintenance system for renewable energy infrastructure, TDengine made the grade.
