AWS IoT Core vs. IntelliJ IDEA

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
IntelliJ IDEA
Score 9.3 out of 10
N/A
IntelliJ IDEA is an IDE that aims to give Java and Kotlin developers everything they need out of the box, including a smart code editor, built-in developer tools, framework support, database support, web development support, and much more.
$19.90
per month
Pricing
AWS IoT CoreIntelliJ IDEA
Editions & Modules
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
For Individual Use (Monthly billing)
$19.90
per month
For Organizations (Monthly billing)
$71.90
per month
For Individual Use (Yearly billing)
$199
per year
For Organizations (Yearly billing)
$719
per year
Offerings
Pricing Offerings
AWS IoT CoreIntelliJ IDEA
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAll Products Pack (For Individual Use) – $299 /1st year, $ 239 /2nd year and $ 179 /3d year onwards All Products Pack (For Organizations) – $979 / year
More Pricing Information
Community Pulse
AWS IoT CoreIntelliJ IDEA
Features
AWS IoT CoreIntelliJ IDEA
Internet of Things
Comparison of Internet of Things features of Product A and Product B
AWS IoT Core
8.2
15 Ratings
3% above category average
IntelliJ IDEA
-
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 CoreIntelliJ IDEA
Small Businesses

No answers on this topic

PyCharm
PyCharm
Score 9.2 out of 10
Medium-sized Companies

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PyCharm
PyCharm
Score 9.2 out of 10
Enterprises

No answers on this topic

PyCharm
PyCharm
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS IoT CoreIntelliJ IDEA
Likelihood to Recommend
8.6
(15 ratings)
9.7
(58 ratings)
Likelihood to Renew
-
(0 ratings)
5.0
(1 ratings)
Usability
8.7
(4 ratings)
9.1
(8 ratings)
Support Rating
7.8
(4 ratings)
8.9
(15 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
AWS IoT CoreIntelliJ IDEA
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.
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JetBrains
This is a superb tool if your project involves a lot of backend development, especially in Java/Spring Boot and Kotlin. The support for the front end is great as well, but some developers may prefer to use the GitHub copilot add-on. I especially love using the GitHub copilot add-on. It may be less appropriate if your project requires heavy use of HotSwaps for backend debugging, as sometimes the support for that can be limited.
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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
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JetBrains
  • Unit testing: Fully integrated into IntelliJ IDEA. Your unit tests will run smoothly and efficiently, with excellent debugging tools for when things get tricky.
  • Spring integration: Our Spring project using Maven works flawlessly in IntelliJ IDEA. I know firsthand that Apache is also easily and readily supported too. The integration is seamless and very easy to set up using IntelliJ IDEA's set up wizard when importing new projects.
  • Customization: IntelliJ IDEA comes out of the box with a bunch of handy shortcuts, as well as text prediction, syntax error detection, and other tools to help keep your code clean. But even better is that it allows for total customization of shortcuts you can easily create to suit your needs.
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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
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JetBrains
  • Finding if a feature exists or not in IntelliJ IDEA can be challenging.
  • For example, if we know how to format a particular file, the command is Ctrl+Alt+Shift+L, but if we don't, then finding it is difficult.
  • Setting up a project interpreter and directory structure might not be intuitive at first.
  • Git integration can be improved. For example, it isn't easy to rebase using UI in IntelliJ IDEA.
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Likelihood to Renew
Amazon AWS
No answers on this topic
JetBrains
VS Code is maturing and has a Scala plugin now. The overall experience with VS Code - for web development at least - is very snappy/fast. IntelliJ feels a bit sluggish in comparison. If that Scala plugin for VS Code is deemed mature enough - we may not bother renewing and resort to the Community Edition if we need it.
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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.
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JetBrains
There is always room for improvement, but I haven't met any IDE that I liked more so far. Even if it did not fit a use case right out of the box, there is always a way to configure how it works to do just that.
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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.
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JetBrains
Customer support is really good in the case of IntelliJ. If you are paying for this product then, the company makes sure that you will get all the services adequately. Regular update patches are provided to improve the IDE. An online bug report makes it easier for the developers to find the solution as fast as possible. The large online community also helps to find the various solutions to the issues.
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Implementation Rating
Amazon AWS
No answers on this topic
JetBrains
This installs just like any other application - its pretty straight forward. Perhaps licensing could be more challenging - but if you use the cloud licensing they offer its as simple as having engineers login to the application and it just works.
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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.
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JetBrains
Eclipse is just so old, like a dinosaur, compared to IntelliJ. There are still formats that Eclipse supports better, especially old and/or propriety ones. Still, most of the modern software development needs can be done on IntelliJ, & in a much better way, some of them are not even supported on Eclipse.
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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
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JetBrains
  • Easier to find bugs and debugs, thus reducing man hours and generating immediate dollar impact.
  • Coding time is lessened, which in turn again reduces man hours and generates immediate dollar impact.
  • Refactoring code is more innovative and easy here, resulting in more maintainable code.
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ScreenShots

IntelliJ IDEA Screenshots

Screenshot of IntelliJ IDEA interface overview: the Project tool window (left) outlines the code structure and the Editor (right) is used to read, write, and explore the source code.Screenshot of IntelliJ IDEA analyzing the context. It then suggests the most applicable and relevant code.Screenshot of the Search Everywhere window, where users can search for files, actions, classes, symbols, settings, UI elements, and anything in Git, all from a single entry point.Screenshot of IntelliJ IDEA's support for frameworks with dedicated assistance for Spring and Spring Boot, Jakarta EE, JPA, Reactor, and other popular frameworks.Screenshot of the AI Assistant that provides features for software development. It can explain code, answer questions about code fragments, provide code suggestions, generate documentation, and commit messages.Screenshot of the interface to run queries, connect to databases, browse and export data, and manage schemas.