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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS IoT Core

    Score10 out of 10
    N/AAWS 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

    RabbitMQ

    Score9.5 out of 10
    N/ARabbitMQ, an open source message broker, is part of Pivotal Software, a VMware company acquired in 2019, and supports message queue, multiple messaging protocols, and more. RabbitMQ is available open source, however VMware also offers a range of commercial services for RabbitMQ; these are available as part of the Pivotal App Suite.N/A
    Pricing
    AWS IoT CoreRabbitMQ
    Editions & Modules
    Connectivity
    $0.08
    Per Million Minutes
    Rules Engine
    $0.15
    Per Million Actions
    Messaging
    $1.00
    Per Million Messages
    No answers on this topic
    Offerings
    Pricing Offerings
    AWS IoT CoreRabbitMQ
    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 CoreRabbitMQ
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    13 Answers
    91%
    Would buy again
    10 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    100%
    Delivers good value for the price
    11 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    91%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    11 Answers
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    11 Answers
    Features
    AWS IoT CoreRabbitMQ
    Internet of Things
    Comparison of Internet of Things features of AWS IoT Core and RabbitMQ
    Feature
    AWS IoT Core
    8.2
    15 Ratings
    3% above category average
    RabbitMQ
    -
    Ratings
    IoT Device Management8.115 Ratings00 Ratings
    Device Security8.215 Ratings00 Ratings
    IoT Data Management8.015 Ratings00 Ratings
    IoT Analytics8.413 Ratings00 Ratings
    IoT Integration8.214 Ratings00 Ratings
    Best Alternatives
    AWS IoT CoreRabbitMQ
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    Apache Kafka
    Score8.9 out of 10
    Enterprises
    No answers on this topic
    Apache Kafka
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS IoT CoreRabbitMQ
    Likelihood to Recommend
    8.6
    (15 ratings)
    9.9
    (11 ratings)
    Usability
    8.7
    (4 ratings)
    8.0
    (1 ratings)
    Support Rating
    7.8
    (4 ratings)
    6.5
    (4 ratings)
    User Testimonials
    AWS IoT CoreRabbitMQ
    Likelihood to Recommend
    Amazon AWS
    End-to-end encryption is an amazing feature because we use IoT to connect to various devices in order to gather data/ stats in real-time. We're able to publish solutions with ease and at a faster rate because of AWS IoT Core. However, its inability to interact with other IoT tools is a big con that I would like them to improve upon.
    Incentivized
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    Open Source
    It is highly recommended that if you have microservices architecture and if you want to solve 2 phase commit issue, you should use RabbitMQ for communication between microservices. It is a quick and reliable mode of communication between microservices. It is also helpful if you want to implement a job and worker mechanism. You can push the jobs into RabbitMQ and that will be sent to the consumer. It is highly reliable so you won't miss any jobs and you can also implement a retry of jobs with the dead letter queue feature. It will be also helpful in time-consuming API. You can put time-consuming items into a queue so they will be processed later and your API will be quick.
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    Pros
    Amazon AWS
    • 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
    Incentivized
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    Open Source
    • What RabbitMQ does well is what it's advertised to do. It is good at providing lots of high volume, high availability queue. We've seen it handle upwards of 10 million messages in its queues, spread out over 200 queues before its publish/consume rates dipped. So yeah, it can definitely handle a lot of messages and a lot of queues. Depending on the size of the machine RabbitMQ is running on, I'm sure it can handle more.
    • Decent number of plugins! Want a plugin that gives you an interface to view all the queues and see their publish/consume rates? Yes, there's one for that. Want a plugin to "shovel" messages from one queue to another in an emergency? Check. Want a plugin that does extra logging for all the messages received? Got you covered!
    • Lots of configuration possibilities. We've tuned over 100 settings over the past year to get the performance and reliability just right. This could be a downside though--it's pretty confusing and some settings were hard to understand.
    Incentivized
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    Cons
    Amazon AWS
    • Ability to integrate with Ethercalc software solution
    • Ability to introduce NFC toolchains and systems which could be utilized in iot modular gateway solutions like drones
    • Ability to reduce latency as the solution scales is very much needed
    • Hybrid solution which can integrate other existing iot solutions into AWS iot core
    Incentivized
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    Open Source
    • It breaks communication if we don't acknowledge early. In some cases our work items are time consuming that will take a time and in that scenario we are getting errors that RabbitMQ broke the channel. It will be good if RabbitMQ provides two acknowledgements, one is for that it has been received at client side and second ack is client is completed the processing part.
    Incentivized
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    Usability
    Amazon AWS
    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.
    Incentivized
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    Open Source
    RabbitMQ is very easy to configure for all supported languages (Python, Java, etc.). I have personally used it on Raspberry Pi devices via a Flask Python API as well as in Java applications. I was able to learn it quickly and now have full mastery of it. I highly recommend it for any IoT project.
    Incentivized
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    Support Rating
    Amazon AWS
    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.
    Incentivized
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    Open Source
    I gave it a 10 but we do not have a support contract with any company for RabbitMQ so there is no official support in that regard. However, there is a community and questions asked on StackOverflow or any other major question and answer site will usually get a response.
    Incentivized
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    Alternatives Considered
    Amazon AWS
    Azure IoT service provides more or less the same services as compared to AWS IoT core, however the costing of AWS lead us to continued usage of IoT core over Azure IoT services. Also, considering our existing technology stack is on AWS, it was a natural selection for better integration and ease of use.
    Incentivized
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    Open Source
    RabbitMQ has a few advantages over Azure Service Bus 1) RMQ handles substantially larger files - ASB tops out at 100MB, we use RabbitMQfor files over 200MB 2) RabbitMQ can be easily setup on prem - Azure Service Bus is cloud only 3) RabbitMQ exchanges are easier to configure over ASB subscriptions ASB has a few advantages too 1) Cloud based - just a few mouse clicks and you're up and running
    Incentivized
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    Return on Investment
    Amazon AWS
    • 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
    Incentivized
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    Open Source
    • Positive: we don't need to keep way too many backend machines around to deal with bursts because RabbitMQ can absorb and buffer bursts long enough to let an understaffed set of backend services to catch up on processing. Hard to put a number to it but we probably save $5k a month having fewer machines around.
    • Negative: we've got many angry customers due to queues suddenly disappearing and dropping our messages when we try to publish to them afterward. Ideally, RabbitMQ should warn the user when queues expire due to inactivity but it doesn't, and due to our own bugs we've lost a lot of customer data as a result.
    • Positive: makes decoupling the web and API services from the deeper backend services easier by providing queues as an interface. This allowed us to split up our teams and have them develop independently of each other, speeding up software development.
    Incentivized
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