Google App Engine vs. PyCharm

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google App Engine
Score 8.2 out of 10
N/A
Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
PyCharm
Score 9.2 out of 10
N/A
PyCharm is an extensive Integrated Development Environment (IDE) for Python developers. Its arsenal includes intelligent code completion, error detection, and rapid problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable code by offering PEP8 checks, testing assistance, intelligent refactorings, and inspections. Moreover, it caters to web development frameworks like Django and Flask by providing framework…
$9.90
per month per user
Pricing
Google App EnginePyCharm
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
For Individuals
$99
per year per user
All Products Pack for Organizations
$249
per year per user
All Products Pack for Individuals
$289
per year per user
For Organizations
$779
per year per user
Offerings
Pricing Offerings
Google App EnginePyCharm
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google App EnginePyCharm
Considered Both Products
Google App Engine
Chose Google App Engine
Compared with Microsoft Azure, Google App Engine requires a more complicated development environment setup. It's not as simple as using Visual Studio 2015 with Azure SDK. There are multiple IDE on the market to choose from for developing apps for Google App Engine. JetBrains …
PyCharm

No answer on this topic

Features
Google App EnginePyCharm
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google App Engine
9.5
32 Ratings
20% above category average
PyCharm
-
Ratings
Ease of building user interfaces9.018 Ratings00 Ratings
Scalability10.032 Ratings00 Ratings
Platform management overhead9.032 Ratings00 Ratings
Workflow engine capability8.024 Ratings00 Ratings
Platform access control10.031 Ratings00 Ratings
Services-enabled integration10.028 Ratings00 Ratings
Development environment creation10.029 Ratings00 Ratings
Development environment replication10.028 Ratings00 Ratings
Issue monitoring and notification9.028 Ratings00 Ratings
Issue recovery9.026 Ratings00 Ratings
Upgrades and platform fixes10.029 Ratings00 Ratings
Best Alternatives
Google App EnginePyCharm
Small Businesses
AWS Lambda
AWS Lambda
Score 8.3 out of 10
IntelliJ IDEA
IntelliJ IDEA
Score 9.3 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
IntelliJ IDEA
IntelliJ IDEA
Score 9.3 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
IntelliJ IDEA
IntelliJ IDEA
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google App EnginePyCharm
Likelihood to Recommend
8.0
(35 ratings)
9.2
(42 ratings)
Likelihood to Renew
8.3
(8 ratings)
10.0
(2 ratings)
Usability
7.7
(7 ratings)
9.3
(4 ratings)
Performance
10.0
(1 ratings)
-
(0 ratings)
Support Rating
8.4
(12 ratings)
8.3
(13 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google App EnginePyCharm
Likelihood to Recommend
Google
App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
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JetBrains
PyCharm is well suited to developing and deploying Python applications in the cloud using Kubernetes or serverless pipelines. The integration with GitLab is great; merges and rebates are easily done and help the developer move quickly. The search engine that allows you to search inside your code is also great. It is less appropriate for other languages.
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Pros
Google
  • Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
  • Flexible. We use Java for some services and Node.js for others.
  • Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.
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JetBrains
  • Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
  • Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
  • Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
  • Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
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Cons
Google
  • There is a slight learning curve to getting used to code on Google App Engine.
  • Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
  • Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
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JetBrains
  • The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
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Likelihood to Renew
Google
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
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JetBrains
It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
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Usability
Google
I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
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JetBrains
It's pretty easy to use, but if it's your first time using it, you need time to adapt. Nevertheless, it has a lot of options, and everything is pretty easy to find. The console has a lot of advantages and lets you accelerate your development from the first day.
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Support Rating
Google
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
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JetBrains
I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
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Alternatives Considered
Google
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
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JetBrains
When it comes to development and debugging PyCharm is better than Spyder as it provides good debugging support and top-quality code completion suggestions. Compared to Jupiter notebook it's easy to install required packages in PyCharm, also PyChram is a good option when we want to write production-grade code because it provides required suggestions.
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Return on Investment
Google
  • Effective employee adoption through ease of use.
  • Effective integration to other java based frameworks.
  • Time to market is very quick. Build, test, deploy and use.
  • The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.
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JetBrains
  • PyCharm has a very positive ROI for our BU. It has increased developer productivity exponentially.
  • Software quality has significantly improved. We are able to refactor/test/debug the code quicker/faster/better.
  • Our business unit is able to deliver faster. Customers are happier than ever.
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