Best Data Management Software for Azure IoT Hub

Find and compare the best Data Management software for Azure IoT Hub in 2026

Use the comparison tool below to compare the top Data Management software for Azure IoT Hub on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Rayven Reviews
    Top Pick
    Rayven designs and delivers operational systems for industrial and asset-intensive businesses. It connects fragmented operational data from IT, OT, IoT, files, and existing systems - anything - without rip-and-replace, then uses that foundation to deliver automation and operational applications that run in a single environment. Rayven is built for real operational conditions - sites, assets, field teams, production, logistics, and infrastructure - providing real-time visibility and automated workflows that reduce manual effort and system gaps. Solutions are delivered end-to-end by Rayven or partners via white-label and co-branded models. Based in ANZ, working globally.
  • 2
    FairCom EDGE Reviews
    FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.
  • 3
    FairCom DB Reviews

    FairCom DB

    FairCom Corporation

    FairCom DB is ideal to handle large-scale, mission critical core-business applications that demand performance, reliability, and scalability that cannot easily be achieved with other databases. FairCom DB provides predictable high-velocity transactions with big data analytics and massively parallel big-data processing. It provides developers with NoSQL APIs that allow them to process binary data at machine speed. ANSI SQL allows for simple queries and analysis over the same binary data. Verizon is one of the companies that has taken advantage of FairCom DB's flexibility. Verizon recently selected FairCom DB to be its in-memory database for the Verizon Intelligent Network Control Platform Transaction Server Migrating. FairCom DB, an advanced database engine, gives you a Continuum of Control that allows you to achieve unparalleled performance at a low total cost of ownership (TCO). FairCom DB doesn't conform to you. FairCom DB conforms. FairCom DB doesn't force you to conform to the database's limitations.
  • 4
    eLynx Technologies Reviews
    Operators utilizing an established SCADA system can leverage the eLynx Data Historian service, granting users access to mobile applications, insightful data visualizations, and advanced data analysis and integration features. The eLynx data snapshot client facilitates the automatic extraction, transformation, and loading (ETL) of data from existing systems. Additionally, SCADA data can be transmitted to the eLynx Azure IoT Hub via MQTT, enhancing connectivity. Some SCADA systems support bidirectional communication, enabling users to send commands back to the internal SCADA system through MQTT. The application allows for customization of user interfaces, ensuring that users can have tailored experiences based on their roles. Role-based security measures are in place for field operators, office workers, and third-party users to maintain data integrity. Users have the ability to generate their own views, trends, and reports, which they can choose to share with others or keep confidential. To streamline access to information, users can personalize their experience by setting their own home page, favorites, and default views, making it simpler to navigate to essential data. This level of customization fosters a more efficient workflow, enabling users to focus on the information that matters most to them.
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