This article provides a detailed guide on how to connect MQTT devices with EMQX and integrate it with InfluxDB to ensure reliable data storage and enable real-time analytics.
We will provide a detailed guide on how to integrate EMQX Cloud, with edge computing intelligence and InfluxDB's analytical capabilities to bring about a transformative change in the Industrial IoT.
In this post, we provide the benchmarking result of InfluxDB integration - a single node EMQX processes and inserts 100,000 QoS1 messages per second to InfluxDB.
We will simulate temperature and humidity data, report it to the EMQX cloud on the GCP platform via the MQTT protocol, and save the data to the InfluxDB Cloud over the public network.
In this tutorial, I'll show you step-by-step how to integrate InfluxDB Cloud with EMQX Cloud, a leading MQTT service provider, using this new native collector.
In this article, we will focus on how to design a new-generation IoV platform architecture to meet the need for millions of message throughput.
Taking the common scenarios of Internet of things as an example, this article introduces how to use the EMQX message middleware and the open source data visualization solution of InfluxDB + Grafana to conveniently display a large amount of time-series data of IoT devices.