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 time-series database (TSDB), 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.
Industry needs end-to-end, interoperating solutions that bridge the gap between equipment and the Internet. See how Siemens used time-series technology to build such a solution.
GESRI built a highly scalable and performant environmental monitoring and data governance system for real-time detection and early warning of anomalies in pollution discharge based on stringent government requirements.
When Lion Bridge Group’s current platform could not scale, they moved to TDengine which provided scalability while reducing hardware resources and saving costs.
This case study examines how TDengine enabled high-performance, low-cost processing of autonomous driving data at DJI Automotive.
TravelGo reduces hardware costs by 50% by replacing their storage solution with TDengine.
The developers at 58.com, dissatisfied with the performance of TiDB, found a scalable IoT platform that resolved their pain points.
