Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
N/A
Azure IoT Hub
Score 6.0 out of 10
N/A
Microsoft's Azure IoT Hub is a managed service for bidirectional communication between IoT devices and Azure. Azure IoT Hub provides a cloud-hosted solution back end to connect virtually any device. Users can extend their solutions from the cloud to the edge with per-device authentication, built-in device management, and scaled provisioning.
$10
per month per IoT Hub unit (per month)
Pricing
Google Cloud AI
Microsoft Azure IoT Hub
Editions & Modules
No answers on this topic
B1
$10
per month per IoT Hub unit
S1
$25
per month per IoT Hub unit
B2
$50
per month per IoT Hub unit
S2
$250
per month per IoT Hub unit
B3
$500
per month per IoT Hub unit
S3
$2500
per month per IoT Hub unit
Free
Free
per month per IoT Hub unit
Offerings
Pricing Offerings
Google Cloud AI
Azure IoT Hub
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Cloud AI
Microsoft Azure IoT Hub
Features
Google Cloud AI
Microsoft Azure IoT Hub
Internet of Things
Comparison of Internet of Things features of Product A and Product B
Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
We are using the Azure IOT hub for solving the multitenancy problem within our research project. We are consuming data from various resources and communicating it with different devices on our hybrid cloud. We also use Azure IoT as a bridge between two business Intelligence sources which are really hard to connect devices.
Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
Customization of existing modules and libraries is harder and it does need time and experience to learn.
Google Cloud AI can do a better job in providing better support for Python and other coding languages.
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
Azure IoT support professionals are strong, and always provide timely responses. Vast documentation and examples are available, plus a network of professionals in the market. It's very comparable to the main competitor offer, and easily integrated into the main Azure product offer. Azure IoT is not a new solution, so it is very mature and support can easily address any day to day or architectural concern you have.
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
The ROI seems positive since we are full in with Google, and the tools come along with the functionality.