Yunda Express added TDengine to their architecture when MySQL could no longer handle the growing volume of hundreds of millions of daily records.
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.
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 had a query bottleneck. So there was an urgent need to find a more efficient … Read more
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.
After reaching performance limits with MongoDB and TiDB, Li Auto chose TDengine for their high-performance IoT and Big Data platform.
To build a scalable, fast and comprehensive monitoring and predictive maintenance system for renewable energy infrastructure, TDengine made the grade.
To future-proof their real-time vehicle tracking platform for massive growth, Jikesoft replaced their complex and slower architecture of InfluxDB, Redis and MySQL with TDengine. Besides meeting their high performance and low latency requirements, TDengine reduced their operational and maintenance costs significantly 1. Business Background The vehicle location and monitoring project aims to achieve unified vehicle supervision, trajectory … Read more
TDengine’s data migration tool, provides a tool for developers that allows them to focus on valuable code rather than worry about how to extract and migrate data.
TDengine was chosen by RCT Power to be the foundation for their renewable energy management platform as they deploy their green energy solutions around the globe.
When an Oracle-based solution could not meet the increasing requirements of Sky Digital’s geological disaster monitoring and prediction platform, they chose to migrate to TDengine for it’s high-performance, scalability and high compression ratio.