Logistics platform storage resources lowered by 60%
Lu Yang (Lion Bridge)
When Lion Bridge Group's current platform could not scale, they moved to TDengine which provided scalability while reducing hardware resources and saving costs.
DJI Automotive processes autonomous driving data in milliseconds
Kun Wu (DJI Automotive)
This case study examines how TDengine enabled high-performance, low-cost processing of autonomous driving data at DJI Automotive.
Replacing TiDB with a high-performance and scalable IoT platform
Guangyuan Zhang (58.com)
The developers at 58.com, dissatisfied with the performance of TiDB, found a scalable IoT platform that resolved their pain points.
Industrial vehicle platform querying reduced from one hour to ten seconds
Jie Yang (Liugong)
When LiuGong used MySQL for vehicle platform querying, processing was slow and the database was prone to downtime. LiuGong's search for a time-series data solution led to TDengine.
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.
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.
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.
Reducing server resources by 85% in a logistics scenario
By moving to TDengine, Cross Express Group was able to reduce the complexity of their system, reduce number of servers from 21 to 3, and reduce daily storage increments from 352G to 4G.