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
Heroku Platform
Score 7.8 out of 10
N/A
The Heroku Platform, now from Salesforce, is a platform-as-a-service based on
a managed container system, with integrated data services and ecosystem for deploying modern apps. It takes an app-centric
approach for software delivery, integrated with developer tools and
workflows. It’s three main tool are: Heroku Developer Experience (DX), Heroku
Operational Experience (OpEx), and Heroku Runtime.
Heroku Developer Experience (DX)
Developers deploy directly from tools like…
$85
per month
Java Cloud
Score 8.6 out of 10
N/A
Oracle offers the Java Cloud Service, a PaaS supporting the fast and easy development of Java applications.
$0.15
Comparison Price (/vCPU)
Pricing
Google App Engine
Heroku Platform
Oracle Java Cloud
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Production
$25.00
per month
Advanced
$250.00
per month
Standard Edition
$0.15485
Comparison Price (/vCPU)
Enterprise Edition
$0.15485
Comparison Price (/vCPU)
High Performance Edition
$0.3871
Comparison Price (/vCPU)
Offerings
Pricing Offerings
Google App Engine
Heroku Platform
Java Cloud
Free Trial
No
No
No
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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—
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More Pricing Information
Community Pulse
Google App Engine
Heroku Platform
Oracle Java Cloud
Considered Multiple Products
Google App Engine
Verified User
Analyst
Chose Google App Engine
Azure App Service is in par with Google App Engine although you may want to use Azure App Service if you are integrating with other Microsoft IT components, for example SQL Server. Google App Engine is great when in long run, you will be using Google cloud components, for …
AWS and Heroku are both great, and I use them both extensively for different projects. Google App Engine was chosen because it is much more innovative than AWS, and because Heroku specializes in Ruby on Rails. Even though Heroku supports Java and other services, we feel Google …
I think that Microsoft and Amazon are simply investing more in their offerings, and there are a bunch of cool PaaS solutions out there as well. Google App Engine is solid, and is probably the right choice for some projects. But ultimately one should evaluate each platform …
For a different project, Aptible surpassed Heroku when it came to meeting HIPAA-related requirements, though it offers much less flexibility with add-on services (for obvious reasons). Google App Engine had a much more complicated deployment model and seemed unnecessarily …
Heroku has advantages over Docker, Google App Engine and AWS products, but it depends largely on your use case. If you are already in AWS, it's probably in your best interest to stay with AWS products. However, other "Cloud Formation/Orchestration" products like Docker are …
Heroku has the advantage of simplifying the development and integration with some services (which in Heroku they call addon) wherein other platforms, certainly for those who don't have much experience, it will take much more development time.
Heroku, in my opinion, is the easiest platform to deploy and host web applications on. From collaboration to deployment, everything is well thought out and bulletproof. If you need advanced server functionality, like a VPC, machine-to-machine communication, etc., you will …
To this day no other PaaS matches Heroku in ease of use and maturity. If you want to stay 100% focused on your unique product/service rather than wasting time on boilerplate hosting issues, I can highly recommend Heroku. I personally use it for all of my own websites …
Google App Engine is great for Java applications where you are using other Google components already, for example Google GCP, Google BigQuery, etc. Redhat, OpenShift, and Pivotal CloudFounder are great when the application is very complex and includes components that are Java …
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.
Heroku is very well suited for startups looking to get a server stack up and running quickly. There is little to no overhead when managing your instances. However, you'll need a background in basic DevOps or system management to make sure everything is set up correctly. In addition, it's easy to accidentally go crazy on pricing. Make sure you're only creating the server instances you need to run the base application and set up an auto-scaler plugin to handle peaks.
Oracle Java Cloud is especially appropriate for moderate to complex Java applications. Due to BYOL licensing, it is also works well when you are planning to do dev and test in-house and then deploy it on Oracle Java Cloud. It is not well suited for simple Java applications due to the cost of Oracle Java Cloud. Simple applications don't need the fully managed aspect of Oracle Java Cloud.
Heroku has a very simple deployment model, making it easy to get your application up-and-running with minimal effort. We can focus on our efforts the unique aspects of our application.
The robust add-on marketplace makes it easy to try out new approaches with minimal effort and investment -- and when we settle on a solution, we can easily scale it.
Heroku's support is quite good -- their staff is quite technical and willing to get into the weeds to diagnose even complicated problems.
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)
Large price jumps between certain resource tiers (2x Dyno for $50 per month versus Performance Dyno for $250). Free Postgres next jumps to $50 per month.
Marketing/Branding to non-technical stakeholders. As the years pass, I've had to fight more to convince stakeholders on the value of Heroku over AWS.
Improve Buildpack documentation. This is one area where Heroku's documentation is fairly confusing.
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.
Heroku is easy to use, services a ton of functions for you out of the box, and provides a means to get a software product off the ground and managed quickly and easily. The tools provide allows a small to medium size org to move very quickly. The CLI tools provided make managing an entire technical infrastructure simple.
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
Easy to use web based console and easy to use command line tools; deployment is done directly from a GIT repository. What more could you ask for? The one thing that keeps me from giving it a 10 is that custom build packs are almost incomprehensible. We used one for a while because we needed cairo graphics processing. Fortunately, I was able to figure out a different way to do what we needed so that we could get off the custom build pack.
Heroku availability correlates pretty strongly to AWS US EAST availability. We had a couple of times where there was a Heroku-specific issue but not for the last 7-8 months.
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.
I've used it for many years without facing any major problem. It's not hard at all to get used to it, it's documentation is outstanding and simple. We are close to 2020 and I don't think most of the existing companies or startups should still face old problems such as wasting time deploying code and calculate computing resources.
Be ready to pay a bit more than expected in the beginning if you're migrating from a big server. The application is probably not ready for the change and you have to keep improving it with time.
It's also important to consider that you can't save anything to the disc as it will be lost when your application restarts, so you have to think about using something like S3.
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.
Heroku is the more expensive option for hosting compared to some of the cloud platforms we investigated, but it's worth it for us because of the plug-and-play nature of Heroku deployment. We can be up and running in a few minutes and know with precision how much it will cost us each month to run the application, unlike Amazon Web Services where you have to go to great pains to configure it correctly or else you might end up with a shocking monthly bill. Overall, spending the time to configure Amazon Web Services or one of its competitors is likely the more affordable and powerful choice, because you have control over so many specifics of the configuration. But it also requires the burden of continuing to maintain and update your AWS instance, whereas with Heroku they take care of security fixes and platform upgrades. It's a great service and we are happy to pay the extra cost for the value-adds Heroku provides.
We selected Oracle Java Cloud for its native integration with other Oracle solutions and its focus on Java applications. Overall, our experience with Oracle Java Cloud has been positive, as it has improved our efficiency, security, and scalability in developing cloud applications.
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.
