Connect and Scale with efficiency

You can quickly get started and scale your IoT project to your business needs.

Analyze and act on new data

Enables you to analyze and mine disparate data to create new insights and even predict future outcomes.

Integrate and transform business processes

Connect your people, processes, assets, and systems to create opportunities to innovate and transform your business.

Microsoft Azure IoT Suite

Azure IoT Suite is a Microsoft Internet of Things platform which starts by building on the infrastructure you already have, using familiar devices and services in new ways, and incorporating the right technology to ultimately help you use data to create insights and make more informed business decisions.  Whether you want to transform your business by connecting, analyzing and acting on machine-generated data, or build new intelligent devices, from small gateways to powerful industry devices like robotics, you can rely on Azure to provide you with a comprehensive set of technologies to meet—and exceed—your business goals.

Azure IoT suite delivers a flexible cloud platform that can satisfy any IoT need.

  • Use preconfigured solutions to accelerate the development of your IoT solution. Connect existing devices and new ones using device SDKs for a wide variety of platforms.
  • Collect, visualize and act on untapped data from devices and sensors. Set up real-time analytics without having to manage complex infrastructure and software.
  • Enhance security of your IoT solution with per-device authentication. Create identities with revocable access rights for specific devices.
  • Predict maintenance needs and avoid unscheduled downtime by connecting and monitoring your devices.

Read documentation on Azure IoT suite 

  • IoT Hub

    Establish bi-directional communication with millions of IoT devices
    Rely on Azure IoT Hub to easily and securely connect your IoT assets. Use device-to-cloud telemetry in order to understand the state of your assets and devices.  Give commands or deliver notifications to your devices by sending cloud-to-device messages.

    Work with familiar platforms and protocols
    Connect existing or add new devices by using open-source device SDKs for various platforms. Use standard and custom protocols such as HTTP, AMQP and MQTT.

    Authenticate per device for security-enhanced IoT solutions
    Set up individual identities and credentials for each of your connected devices in order to get confidentiality of both cloud-to-device and device-to-cloud messages.  Selectively revoke access rights for specific devices to maintain the integrity of your IoT solution.

    For more information, please visit Microsoft Azure IoT Hub

  • Stream Analytics

    Gain real-time insights
    Use Azure Steam Analytics for your IoT scenarios in which you want a low-cost solution to gain real-time insights from devices, sensors, infrastructure and applications.

    Enable rapid development
    Describe the desired transformation with SQL-based syntax, and Stream Analytics automatically distributes it for scale, performance, and resiliency. There is no need to manage complex infrastructure and software.

    Perform real-time analytics
    Stream Analytics processes ingested events in real-time, comparing multiple streams or comparing streams with historical values and models. It detects anomalies, transforms incoming data or triggers an alert when a specific error or condition appears in the stream.

    Achieve mission-critical reliability and scale
    Scale to any volume of data while still achieving high throughput, low-latency, and guaranteed resiliency. Get all of this without incurring hardware or other up-front costs and without time-consuming installation or setup.

    For more information, please visit Microsoft Azure Stream Analytics

  • Machine Learning

    Create and deploy predictive models
    Azure Machine Learning is a powerful cloud-based predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.

    Deploy your predictive model as a web-service
    Azure Machine Learning provides a fully-managed service you can use to deploy your predictive models as ready-to-consume web services.

    Create complex predictive analytics solutions in the cloud
    Azure Machine Learning provides tools for creating complete predictive analytics solutions in the cloud to quickly create, test, operationalize and manage predictive models. You don’t need to buy any hardware nor manually manage virtual machines.

    For more information, please visit Microsoft Azure Machine Learning

  • Event Hub

    Stream millions of events per second
    Azure Event Hubs is a highly scalable publish-subscribe service that can ingest millions of events per second and stream them into multiple applications. This lets you process and analyze the massive amounts of data produced by your connected devices and applications. Once Event Hubs has collected the data, it will transform and store it by using any real-time analytics provider or with batching/storage adapters.

    Process events with variable load profiles
    Big data defines today’s connected world. Big data originates from many sources with variable load profiles. There are devices that produce telemetry data every few minutes or even every second and there are mobile apps that capture telemetry for every user’s individual action. Event Hubs is a managed service that ingests events with elastic scale to accommodate these variable load profiles and the spikes caused by intermittent connectivity.

    Connect millions of devices across platforms
    Event Hubs meets the challenge of connecting disparate data sources while handling the scale of the aggregate stream. It lets you easily provision capacity to process events from millions of devices while preserving event order on a per-device basis. Support for AMQP and HTTP allow many platforms to work with Event Hubs.

    For more information, please visit Microsoft Azure Event Hubs