Building a time-series platform for autonomous driving data
Zeng Cui (ECARX)
With increasing storage costs and high latency in their autonomous vehicle development SuperCloud, Ecarx had to choose between InfluxDB, OpenTSDB and TDengine for an optimized time-series platform.
Replacing MySQL to optimize processing for a logistics provider
Yijie Chen (Yunda Express)
Yunda Express added TDengine to their architecture when MySQL could no longer handle the growing volume of hundreds of millions of daily records.
Improving query latency in a smart heating monitoring and analysis system
Miaomiao Jia (TSCC)
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.
Storage efficiency increased 8x by replacing ElasticSearch
Zhiqiang Cao (NavInfo)
This blog describes NavInfo's relevant and practical experience in database selection, testing, deployment and migration.
IoT platform migration from MySQL and HBase to time-series database
Pengfei Li (NIO Power)
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.
Li Auto migrates IoT platform from MongoDB and TiDB
Heyang Zheng (Li Auto)
After reaching performance limits with MongoDB and TiDB, Li Auto chose TDengine for their high-performance IoT and Big Data platform.
Comprehensive monitoring and predictive maintenance system for green energy operations
SmartOPS (Shanghai Electric)
To build a scalable, fast and comprehensive monitoring and predictive maintenance system for renewable energy infrastructure, TDengine made the grade.
Scalable, real-time vehicle tracking platform with reduced TCO
Yunsheng Sun (Jikesoft)
To future-proof their real-time vehicle tracking platform, Jikesoft replaced their complex architecture of InfluxDB, Redis and MySQL with TDengine.
RCT Power builds an efficient renewable energy management platform
Da Liu (RTC Power)
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.
Migrating a disaster prediction and monitoring platform from Oracle to time-series database
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.