/ Categories Use Cases 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.
/ Categories Use Cases 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.
/ Categories Use Cases From the perspective of big data monitoring, TDengine demonstrates dominant competency in terms of O&M costs, writing/reading performance, and technical support.
/ Categories Use Cases TDengine demonstrates excellent performance, 1: The writing speed can reach 12,000 to 13,000 records per second; 2: Storage spaces required for storing location data are only 1/7 of the former solution; 3: Querying the data from a single device by one-day interval will respond within 0.1 seconds.
/ Categories Use Cases TDengine serves as a solution for monitoring in the HeyGears 3D pringting system. The problems we’ve encountered in Hadoop system can be easily solved with its simple SQL-like syntax.
/ Categories Use Cases TDengine currently performs as a highly efficient time-series database in POIZON. It’s very easy to manage the cluster. In addition, it lowers the operation and maintenance costs a lot.
/ Categories Use Cases Baffled by numerous pain points, RisingStar IoT Platform chose TDengine, a high-performance time-series database, to upgrade their data processing solution.
/ Categories Use Cases Through comparative research on the solutions provided by several prevailing time-series databases such as IoTDB, Druid, ClickHouse, and TDengine, SF Technology finally decided to choose TDengine as a solution. Since using TDengine, impressive improvements have been achieved in the terms of stability and writing/query performance.
/ Categories Engineering, Use Cases A stable real-time monitoring system is an absolute necessity for a robust and efficient application system. For huge monitoring data volumes, the bottleneck of the whole system’s performance is usually in the data persistence layer.
/ Categories Use Cases In the era of the Internet of Things (IoT), the real-time data generated by connected vehicles enhance user experiences in car rental and fleet management business, drive innovative business model like usage-based insurance, and build the foundation of autonomous driving and vehicle-to-everything (V2X) paradigm. Time series data processing platforms like TDengine are purposely built for time series data and much more cost-efficient in structured IoT data processing.
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.
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