Oppo’s smart wearables have millions of users and generate vast amounts of time-series data. Oppo chose TDengine after comparing it with InfluxDB and an in-house custom solution and reduced their storage by a factor of 15.
Any IoT platform consists of hundreds of use cases and complex data models. With changing business requirements and massive increases in data volumes, the original architecture of OpenTSDB and MySQL was reaching its limits. After comprehensive research into and deployment of TDengine, the Medatc IoT platform has been completely transformed. This article shares Medatc’s experience … Read more
Yunda Express added TDengine to their architecture when MySQL could no longer handle the growing volume of hundreds of millions of daily records.
When MongoDB and InfluxDB could not meet the high-performance and stringent requirements for an AIoT Livestock Monitoring app, TDengine was the carefully considered choice.
In Lyric data system, mosquitto is used as MQTT broker to collect the data from smart massage device, TDengine is used as a time-series database to process the collected data, and Grafana is used as the visualization.
Baffled by numerous pain points, RisingStar IoT Platform chose TDengine, a high-performance time-series database, to upgrade their data processing solution.