Compare the Top IoT Analytics Software that integrates with Hadoop as of June 2025

This a list of IoT Analytics software that integrates with Hadoop. Use the filters on the left to add additional filters for products that have integrations with Hadoop. View the products that work with Hadoop in the table below.

What is IoT Analytics Software for Hadoop?

IoT analytics software enables organizations to view, monitor, and analyze data collected from IoT devices and machines. IoT analytics software allow companies to understand what's happening with their IoT infrastructure by collecting IoT sensor data. Compare and read user reviews of the best IoT Analytics software for Hadoop currently available using the table below. This list is updated regularly.

  • 1
    Prodea

    Prodea

    Prodea

    Launch secure, scalable and globally compliant connected products with services within six months. Prodea provides the only IoT platform-as-a-service (PaaS) that was specifically designed for manufacturers of mass-market consumer home products. It is comprised of three main services. IoT Service X-Change Platform, for quickly launching connected products with services across global markets requiring minimal development. Insight™ Data Services, to gain key insights from user and product usage data. And EcoAdaptor™ Service, to enhance product value through cloud-to-cloud integration and interoperability with other products and services. Prodea has helped its global brand customers launch 100+ connected products, in less than six months on average, across six continents. This was made possible by using the Prodea X5 Program which was designed to work with our three main cloud services to help brands evolve their systems.
  • 2
    GO+

    GO+

    GO+

    GO+ offers development tools for companies service-providers. The platform allows to develop additional services to its business customers. Through algorithms developed by our decision to support a load with a huge number of devices at the same time. The platform will allow the service-provider does not think about the problem of creating new services for their customers. The core of the platform is an analytical decision-making engine. Granular Computing based analytical engine provides data processing and analysis with complex event processing. We use cloud-based technologies that is designed to endure business logic from real devices directly to the cloud. Scalability allows us to provide solutions in lower cost. Platform scripting engine provide developers with full-stack of dev tools to develop a highly customized IoT services regardless of industry application. The cloud-based IoT platform GO+ is built using the most advanced technology of cloud computing.
  • 3
    Foghub

    Foghub

    Foghub

    Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross-platform, open architecture, edge computing for industrial time-series data. Foghub offers the Critical-Path to IT/OT convergence, connecting Operations (Sensors, Devices, and Systems) with Business (People, Processes, and Applications), enabling automated data acquisition, data engineering, transformations, advanced analytics and ML. Handle large variety, volume, and velocity of industrial data with out-of-the-box support for all data types, most popular industrial network protocols, OT/lab systems, and databases. Easily automate the collection of data about your production runs, batches, parts, cycle-times, process parameters, asset condition, performance, health, utilities, consumables as well as operators and their performance. Designed for scale, Foghub offers a comprehensive set of capabilities to handle large volumes and velocity of data.
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