AWS Cloud9 vs. Firebase

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Cloud9
Score 7.8 out of 10
N/A
AWS Cloud9 is a cloud-based integrated development environment (IDE) used to write, run, and debug code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, and PHP, with no need to install files or configure a development machine to start new projects.N/A
Firebase
Score 7.9 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 Cloud9Firebase
Editions & Modules
No answers on this topic
Phone Authentication
$0.01
Per Verification
Stored Data
$0.18
Per GiB
Offerings
Pricing Offerings
AWS Cloud9Firebase
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 Cloud9Firebase
Best Alternatives
AWS Cloud9Firebase
Small Businesses
PyCharm
PyCharm
Score 9.3 out of 10
Visual Studio
Visual Studio
Score 8.6 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.3 out of 10
Visual Studio
Visual Studio
Score 8.6 out of 10
Enterprises
PyCharm
PyCharm
Score 9.3 out of 10
Visual Studio
Visual Studio
Score 8.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Cloud9Firebase
Likelihood to Recommend
7.0
(9 ratings)
4.3
(29 ratings)
Usability
8.0
(3 ratings)
4.3
(4 ratings)
Support Rating
8.0
(2 ratings)
7.3
(6 ratings)
User Testimonials
AWS Cloud9Firebase
Likelihood to Recommend
Amazon AWS
When I am working with a large team of developers. Also, when a security policy, you are not allowed to install any app on your laptop. Cloud 9 is well integrated with Cloud commit. So we don't have to spend time in configurations.
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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
  • It provides an extremely intuitive and easy-to-use interface, so adapting to it does not take much time.
  • It contains the most common programming languages.
  • It allows the export of files, either directly to the repository or to the team where you want it.
  • It is housed in the cloud so you can work with it from anywhere.
  • Allows you to share code or work on them with others in real-time.
  • Does not require installation.
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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
  • Confusing documentation - AWS's documentation remains quite confusing, and the layout of other services/settings that you have to use with Cloud9 can be a bit of a handful.
  • Sometimes slow - As the size of a project increases, the editor gets increasingly slower, and starts slowing down the browser overall.
  • Long setup process - The setup for Cloud9 can be hard and tough, especially since the documentation is quite hard to understand.
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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
The interface for Cloud9 needs some improvement. It is simply not as powerful and intelligent as a local text editor would be and thus it lacks the capabilities of fast filling when coding. Otherwise, I think it has a fair interface that they have tried mimicking an IDE.
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Google
Firebase functions are more difficult to use, there are no concepts of triggers or cascading deletes without the use of Firebase functions. Firebase functions can run forever if not written correctly and cause billing nightmares. While this hasn't happened to us specifically it is a thing that happens more than one realizes.
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Support Rating
Amazon AWS
Customer support is managed by the Cloud support team. I won't be able to comment on details, but it's fast.
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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
[AWS] Cloud9 offers specific features not available in the competition: Code collaboration using the chat features is the highlight which sets it apart. [The] code completion feature makes [it] very similar to the offline IDE like eclipse. It's much easier to use compared to Codeanywhere. It provides terminal access to EC2 instances and hence other amazon services.
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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
  • We save time since we do not need to configure files or our equipment.
  • We have the most appropriate tools for software development in one place.
  • We can work from anywhere so if that day we could not get to our office or something we can do from home.
  • We can code with a single browser.
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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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