AWS IoT Core vs. Particle

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS IoT Core
Score 9.9 out of 10
N/A
AWS IoT Core is a managed cloud service that lets connected devices interact with cloud applications and other devices. It includes the Device Gateway and the Message Broker, which connect and process messages between IoT devices and the cloud. AWS IoT Core connects AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process,…
$0.08
Per Million Minutes
Particle
Score 9.0 out of 10
N/A
Particle, from Particle Industries in San Francisco, is presented as a developer-trusted IoT platform to gain insights into operations, accelerate productivity, and build new revenue streams. The platform also supports IoT device management, enabling users to monitor IoT products with end-to-end visibility in order to provide oversight and control.N/A
Pricing
AWS IoT CoreParticle
Editions & Modules
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
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Offerings
Pricing Offerings
AWS IoT CoreParticle
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS IoT CoreParticle
Features
AWS IoT CoreParticle
Internet of Things
Comparison of Internet of Things features of Product A and Product B
AWS IoT Core
8.2
Ratings
2% above category average
Particle
9.2
Ratings
14% above category average
IoT Device Management8.10 Ratings10.00 Ratings
Device Security8.20 Ratings7.00 Ratings
IoT Data Management8.00 Ratings10.00 Ratings
IoT Analytics8.40 Ratings10.00 Ratings
IoT Integration8.20 Ratings9.00 Ratings
Best Alternatives
AWS IoT CoreParticle
Small Businesses

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AWS IoT Core
AWS IoT Core
Score 9.9 out of 10
Medium-sized Companies

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Enterprises

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AWS IoT Core
AWS IoT Core
Score 9.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS IoT CoreParticle
Likelihood to Recommend
8.6
(0 ratings)
9.0
(0 ratings)
Usability
8.7
(0 ratings)
-
(0 ratings)
Support Rating
7.8
(0 ratings)
9.0
(0 ratings)
User Testimonials
AWS IoT CoreParticle
Likelihood to Recommend
AWS iot core is very useful if you need to scale very quickly for managing lots of devices without handling the underlying infrastructure cost. It can enable real time publishing and subscription of devices, monitoring and early stage intervention in case of unexpected issues while developing a full stack solution. However, healthcare scenarios where government intervention is needed should be developed and scaled by following the set of compliance policies of the government and the SLA requirements of the customer. Finally, it is great where you need to do data science research after anonymizing data
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Particle is suitable for any company that needs to configure multiple devices and have better control over them.
The benefits are many, from computer integration, integration with DBA, also integrable with RPA.
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Pros
  • AWS IoT Core integrates power analytics and an AI solution for sensor data processing.
  • Great protocol support including HTTPs and MQTT required to connect resource constraint IoT devices to cloud
  • High security standards during data transmission
  • Scalability and a great user community
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  • Particle is simple to use and accessible to any user.
  • The servers housed in the data center allow us to respond to any problem
  • Through the interface the data is analyzed in a very simple way.
  • Ideal interface for the exploitation of our devices, computers and mobile phones.
  • The interface for iOTs allows us to interact with the system in a few steps.
  • It allows, among other things, the display of information calculated from the data collected from different iOTs, in an understandable way.
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Cons
  • It would be great to have better integration with other IoT products outside of AWS
  • It has been lagging in some of our applications. It's difficult to tell whether this is on AWS IoT or on our implementation
  • It would be great to support a wider range of protocols
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  • For Advanced programs, a bit complicated to programme.
  • Pin Limitations (Photon DevKit).
  • Pricing is high compared to others.
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Usability
I give AWS IoT Core's overall usability this rating because it is very easy to use and is enjoyed by all of our staff. The only problem is that it sometimes glitches and it freezes a lot. So overall, the usability of AWS IoT Core is very good, and we will continue to use it.
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Support Rating
It covers all the aspects of IoT services required for an IoT company. It supports all the industry-wide protocols for secure data transmission and integrates powerful AL and ML technology for data analytics. For data storage, Amazon S3 is a great solution. Strong tech support and user community. Since it is widely used as compared to other products, there is an abundance of training and learning material on the web.
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Efficient integration of multiple devices very well integrated and with a minimum implementation time.
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Alternatives Considered
Azure IoT is a good product but since our whole suite of tech is now set up in AWS (ec2, s3, sagemaker, cloud formation, etc.), we wanted something that could quickly adapt to our environments. Learning a new tech for IoT was simply a bottleneck that we wanted to avoid at this point.
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I have used other IoT Development Modules like Arduino, Raspberry Pi, and others. Most of all starter kit doesn't come with WiFi or Cellular built-in. Arduino is a basic module where you have to add WiFi or Cellular manually in it. Raspberry Pi has WiFi but it cannot be used for small or medium use cases, it can be used in advanced and complex systems building and it is costlier.
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Return on Investment
  • Gives confidence to prototype iot solutions across lots of devices in little time
  • Ability to meet requirements for managing a variety of communication protocols
  • Learning iot analytics and visualization for faster insights enablement
  • Onboarding devices and managing quickly without building inhouse solutions
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  • Sometimes Cloud Analytics fails due to less network.
  • Can't check properly in Cloud Editor it's connected to network or not.
  • It uses more power in WiFi Module.
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ScreenShots