List of the Top 3 IoT Software for AWS IoT Core in 2025

Reviews and comparisons of the top IoT software with an AWS IoT Core integration


Below is a list of IoT software that integrates with AWS IoT Core. Use the filters above to refine your search for IoT software that is compatible with AWS IoT Core. The list below displays IoT software products that have a native integration with AWS IoT Core.
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    AWS IoT Reviews & Ratings

    AWS IoT

    Amazon

    Seamlessly connect, analyze, and secure your IoT ecosystem.
    Devices are found in abundance across various environments, including homes, factories, oil wells, hospitals, and vehicles. As the proliferation of these devices accelerates, the necessity for robust solutions to connect, collect, store, and analyze the data they produce grows increasingly urgent. AWS offers a wide-ranging portfolio of IoT services that integrates seamlessly from the edge of the network to the cloud. One distinguishing feature of AWS IoT is its exceptional capacity to merge data management with sophisticated analytics, providing user-friendly services designed to navigate the intricacies of IoT data. The platform boasts an extensive array of security features, including proactive strategies like encryption and access control for device data, along with ongoing monitoring and auditing services. In addition to this, AWS is leading the charge in fusing artificial intelligence with IoT technology, significantly augmenting device intelligence. Users benefit from the ability to create models in the cloud, which can be deployed to devices, resulting in performance that is twice that of other solutions available in the market. Furthermore, the platform allows users to effortlessly generate digital twins of physical systems, which streamlines management and enhances operational efficiency. The capability to conduct analytics on vast volumes of IoT data without needing a separate analytics infrastructure not only improves functionality but also makes AWS IoT solutions highly attractive. Consequently, managing IoT ecosystems has never been easier or more efficient than it is with AWS's innovative offerings. This comprehensive approach positions AWS as a frontrunner in the IoT landscape, catering to the evolving needs of modern enterprises.
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    FairCom EDGE Reviews & Ratings

    FairCom EDGE

    FairCom

    Revolutionize industrial data integration with seamless, robust solutions.
    FairCom EDGE simplifies the integration of sensor and machine data right at the source, whether it's in a factory, water treatment plant, oil rig, wind farm, or any other industrial environment. As the world's pioneering converged IoT/Industrial IoT hub, FairCom EDGE combines messaging and data persistence into a single comprehensive solution. It features browser-based tools for administration, configuration, and monitoring, streamlining the user experience. Additionally, FairCom EDGE is compatible with MQTT, OPC UA, and SQL for machine-to-machine (M2M) communication, along with HTTP/REST for real-time monitoring and reporting. The platform consistently gathers data from sensors and devices via OPC UA and captures messages from machinery using MQTT. Moreover, the data is efficiently parsed, stored, and made accessible through MQTT or SQL, ensuring seamless data management across various industrial applications. This robust functionality positions FairCom EDGE as an essential tool for modern industrial data integration.
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    Cogent DataHub Reviews & Ratings

    Cogent DataHub

    Cogent

    Seamlessly integrate, analyze, and access your essential data.
    Gather all data from various sources and protocols into a single, extensive data set through the Cogent DataHub application. Clients have the ability to access any selected portion of this integrated data via a multitude of supported protocols, which include, but are not limited to, OPC UA, OPC Classic, Modbus, MQTT, DDE, TCP, ODBC, HTTP, and XML. This flexible data set enables a wide range of applications, such as connecting OPC servers with clients, enabling monitoring and supervisory control, archiving data to real-time historians or SQL databases, establishing alarms and alerts based on data changes, and conducting real-time analysis right within Excel. Furthermore, this holistic approach not only streamlines operations but also fosters improved collaboration and informed decision-making by granting easy access to essential information across various platforms and devices. Consequently, organizations can enhance their responsiveness and agility in a rapidly changing data landscape.
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