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Azure IoT Hub
Azure IoT Hub

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dweet.io
dweet.io

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Azure IoT Hub vs dweet.io: What are the differences?

Developers describe Azure IoT Hub as "Connect, monitor, and manage billions of IoT assets". Use device-to-cloud telemetry data to understand the state of your devices and define message routes to other Azure services without writing any code. In cloud-to-device messages, reliably send commands and notifications to your connected devices and track message delivery with acknowledgement receipts. Device messages are sent in a durable way to accommodate intermittently connected devices. On the other hand, dweet.io is detailed as "Ridiculously simple messaging (and alerts) for the Internet of Things". dweet.io is simple publishing and subscribing for machines, sensors, devices, robots, and gadgets (we just call them things). We call published messages ‘dweets’. It’s helpful to think of dweet.io as a Twitter for things, in fact. It's machine-to-machine (M2M) for the Internet Of Things (IOT) the way it was meant to be.

Azure IoT Hub and dweet.io can be categorized as "Internet of Things Services" tools.

Some of the features offered by Azure IoT Hub are:

  • device management
  • provisioning
  • bidirectional communication

On the other hand, dweet.io provides the following key features:

  • Examples: Public swimming pool temperature, Air quality information in a city, Traffic light status, Train GPS position
  • Send data from your thing to the cloud by "dweeting" it with a simple HAPI web API
  • You can also create a real-time subscription to dweets using a "chunked" HTTP response
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What is Azure IoT Hub?

Use device-to-cloud telemetry data to understand the state of your devices and define message routes to other Azure services without writing any code. In cloud-to-device messages, reliably send commands and notifications to your connected devices and track message delivery with acknowledgement receipts. Device messages are sent in a durable way to accommodate intermittently connected devices.

What is dweet.io?

dweet.io is simple publishing and subscribing for machines, sensors, devices, robots, and gadgets (we just call them things). We call published messages ‘dweets’. It’s helpful to think of dweet.io as a Twitter for things, in fact. It's machine-to-machine (M2M) for the Internet Of Things (IOT) the way it was meant to be.
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              What are some alternatives to Azure IoT Hub and dweet.io?
              Amazon IoT
              AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
              Google Cloud IoT Core
              Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Google Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency.
              Resin.io
              Balena makes it simple to deploy, update, and maintain code running on remote devices.
              AWS IoT Device Management
              AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. IoT Device Management lets you register your devices individually or in bulk, and manage permissions so that devices remain secure. Then, you use the IoT Device Management console to organize your devices into groups, monitor and troubleshoot device functionality, and send remote updates to your devices.
              Bespoken Tools
              Bespoken makes it easy to develop for Alexa, Google Home and Chatbots. We provide logging, analytics, and our rapid development CLI.
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