Best IoT Connectivity Management Platforms

Compare the Top IoT Connectivity Management Platforms as of July 2025

What are IoT Connectivity Management Platforms?

IoT connectivity management platforms are software systems designed to facilitate the communication and control of connected devices. These platforms provide a central hub for monitoring, configuring, and managing all aspects of IoT connectivity. They offer a range of features such as device provisioning, data routing, security protocols, and real-time analytics. With their user-friendly interfaces, these platforms allow businesses to easily connect and manage their diverse IoT networks. Overall, IoT connectivity management platforms play a crucial role in optimizing the performance and reliability of interconnected devices in the fast-paced world of the Internet of Things. Compare and read user reviews of the best IoT Connectivity Management platforms currently available using the table below. This list is updated regularly.

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    EMQX

    EMQX

    EMQ Technologies

    EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency. EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson. Our edge-to-cloud IoT connectivity solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities.
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    Starting Price: $0.18 per hour
  • 2
    Crosser

    Crosser

    Crosser Technologies

    Analyze and act on your data in the Edge. Make Big Data small and relevant. Collect sensor data from all your assets. Connect any sensor, PLC, DCS, MES or Historian. Condition monitoring of remote assets. Industry 4.0 data collection & integration. Combine streaming and enterprise data in data flows. Use your favorite Cloud Provider or your own data center for storage of data. Bring, manage and deploy your own ML models with Crosser Edge MLOps functionality. The Crosser Edge Node is open to run any ML framework. Central resource library for your trained models in crosser cloud. Drag-and-drop for all other steps in the data pipeline. One operation to deploy ML models to any number of Edge Nodes. Self-Service Innovation powered by Crosser Flow Studio. Use a rich library of pre-built modules. Enables collaboration across teams and sites. No more dependencies on single team members.
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