85% Reduction in Server Resources by Moving to TDengine
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.
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.
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.
TDengine is an open-source, purpose-built for IoT, high-performance, scalable time-series platform with support for standard SQL. It’s open-source version includes high-availability cluster features. While TDengine is a carrier-grade IoT time-series platform, it is very accessible to developers starting out in IoT. You can get started in minutes using a Docker container and below we will … Read more
In tests run under this comparative testing framework, TDengine demonstrates a large performance advantage over InfluxDB, especially in extended tests with more diverse conditions and variable control, and we see that TDengine consistently shows a large performance advantage over InfluxDB.
The writing speed of TDengine is at least two times faster than InfluxDB. When the number of devices is enlarged to 1000, the writing speed of TDengine is 5.2 times faster than InfluxDB.
In this blog we will address the installation using a Debian package. The process is very similar if you will be installing from an RPM package. In future blogs we will address installing TDengine using a Docker container and building TDengine from source.
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.
As popular time-series databases on GitHub, both TDengine and Prometheus have developed their own time-series data storage engines to achieve very good performance. This blog compares the two, to help developers choose the right TSDB for their applications.
In this article we will look at some inherent characteristics of general time-series as well as characteristics of IoT time-series data.
To help developers deploy the right TSDB for their application, this blog compares data models for a few popular TSDBs on GitHub. Particularly we look at InfluxDB, TDengine, TimeScale, Prometheus, OpenTSDB and QuestDB.