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.
- Siemens SIMICAS® simplifies industrial time-series data processing workflowsby Libo Deng (Siemens)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.Environmental monitoring and data governance at scaleby Hualie Shen (GDAES)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.Logistics platform storage resources lowered by 60%by 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 millisecondsby Kun Wu (DJI Automotive)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 Chuanjun Gui (TravelGo)TravelGo reduces hardware costs by 50% by replacing their storage solution with TDengine.Replacing TiDB with a high-performance and scalable IoT platformby Zhang GuangyuanIn the driving learning and testing business, it is necessary to store and analyze data generated by sensors in learning vehicles and correlate them to driving instructors. This is a typical time series data scenario. The developers at 58.com were … Read more
TDengine is an open source time-series database with high performance, scalability and SQL support. In addition, it has built-in caching, stream processing, data subscription and other functions to reduce the complexity and costs of development and operations.
|cookielawinfo-checkbox-analytics||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".|
|cookielawinfo-checkbox-functional||11 months||The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".|
|cookielawinfo-checkbox-necessary||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".|
|cookielawinfo-checkbox-others||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.|
|cookielawinfo-checkbox-performance||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".|