AWS IoT Core vs. Firebase

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS IoT Core
Score 8.0 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
Firebase
Score 8.3 out of 10
N/A
Google offers the Firebase suite of application development tools, available free or at cost for higher degree of usages, priced flexibly accorded to features needed. The suite includes A/B testing and Crashlytics, Cloud Messaging (FCM) and in-app messaging, cloud storage and NoSQL storage (Cloud Firestore and Firestore Realtime Database), and other features supporting developers with flexible mobile application development.
$0.01
Per Verification
Pricing
AWS IoT CoreFirebase
Editions & Modules
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
Phone Authentication
$0.01
Per Verification
Stored Data
$0.18
Per GiB
Offerings
Pricing Offerings
AWS IoT CoreFirebase
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
Features
AWS IoT CoreFirebase
Internet of Things
Comparison of Internet of Things features of Product A and Product B
AWS IoT Core
8.2
15 Ratings
2% above category average
Firebase
-
Ratings
IoT Device Management8.115 Ratings00 Ratings
Device Security8.215 Ratings00 Ratings
IoT Data Management7.915 Ratings00 Ratings
IoT Analytics8.413 Ratings00 Ratings
IoT Integration8.214 Ratings00 Ratings
Best Alternatives
AWS IoT CoreFirebase
Small Businesses

No answers on this topic

Visual Studio
Visual Studio
Score 9.0 out of 10
Medium-sized Companies

No answers on this topic

Quickbase
Quickbase
Score 9.2 out of 10
Enterprises

No answers on this topic

Quickbase
Quickbase
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS IoT CoreFirebase
Likelihood to Recommend
8.6
(15 ratings)
8.8
(27 ratings)
Usability
8.7
(4 ratings)
9.5
(2 ratings)
Support Rating
7.8
(4 ratings)
7.3
(6 ratings)
User Testimonials
AWS IoT CoreFirebase
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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Google
Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.
Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.
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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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Google
  • Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
  • When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
  • Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).
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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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Google
  • Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
  • More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
  • City-specific data instead of just country-specific data would have been a huge plus as well.
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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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Google
It is simple to use overall, the console's main menu is divided into Develop, Quality, Analytics and Grow - which have further subdivisions by their set of features and tools. Develop and Quality are relevant for product and tech. Analytics is relevant for product, analytics and Grow is relevant for marketing. This makes the overall use very easy.
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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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Google
Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.
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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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Google
Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.
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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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Google
  • Makes building real-time interfaces easy to do at scale with no backend involvement.
  • Very low pricing for small companies and green-fields projects.
  • Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.
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