Unleashing the Power of AI in IoT: A Deep Dive into HiveMQ Cloud and InfluxDB 3.0
A webinar showcasing how to easily create an AI-powered solution tailored for IoT using HiveMQ Cloud and InfluxDB 3.0.
Real-time insights from any time series data with a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
HiveMQ and InfluxData combine to enhance real-time IoT data handling and analysis. HiveMQ's efficient MQTT platform integrates seamlessly with the InfluxDB optimized time-series database, enabling scalable, reliable insights and decision-making in demanding environments. The InfluxDB Monitoring extension allows HiveMQ to connect to an instance of InfluxDB for time series monitoring.
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce.
A webinar showcasing how to easily create an AI-powered solution tailored for IoT using HiveMQ Cloud and InfluxDB 3.0.
The InfluxDB Monitoring extension allows HiveMQ to connect to an instance of InfluxDB for time series monitoring.
This monitoring extension can be leveraged to gather metrics from MQTT Sparkplug and persist them into a InfluxDB database.
A step-by-step guide to integrate MQTT data from industrial assets or IoT devices into InfluxDB using HiveMQ Broker, Native Collectors, & AWS Cloud.
Many of HiveMQ customers want visualize the industrial data from their equipment into some type of dashboards. See how this can easily be done with Sparkplug, InfluxDB, and HiveMQ.
System monitoring is an essential part of production software. Learn how to set up a Grafana dashboard for monitoring HiveMQ using InfluxDB and Telegraf.
Choose between a fully-managed cloud or self-managed MQTT platform. Our MQTT experts can help you with your solution and demonstrate HiveMQ in action.