AWS Cloud9 vs. Google Compute Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Cloud9
Score 8.6 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
Google Compute Engine
Score 8.1 out of 10
N/A
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0
GB
Pricing
AWS Cloud9Google Compute Engine
Editions & Modules
No answers on this topic
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
Offerings
Pricing Offerings
AWS Cloud9Google Compute Engine
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPrices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
More Pricing Information
Community Pulse
AWS Cloud9Google Compute Engine
Considered Both Products
AWS Cloud9

No answer on this topic

Google Compute Engine
Chose Google Compute Engine
Google was the third entry into the world of cloud service providers (at least from what I can tell). It looks like they took what Azure and AWS does well, and attempted to improve upon them. To me, they've done ok at this. It all seems to depend on which service you're used …
Top Pros
Top Cons
Features
AWS Cloud9Google Compute Engine
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
AWS Cloud9
-
Ratings
Google Compute Engine
7.1
27 Ratings
16% below category average
Service-level Agreement (SLA) uptime00 Ratings8.126 Ratings
Dynamic scaling00 Ratings8.824 Ratings
Elastic load balancing00 Ratings8.920 Ratings
Pre-configured templates00 Ratings4.826 Ratings
Monitoring tools00 Ratings3.127 Ratings
Pre-defined machine images00 Ratings3.227 Ratings
Operating system support00 Ratings8.927 Ratings
Security controls00 Ratings9.727 Ratings
Automation00 Ratings7.92 Ratings
Best Alternatives
AWS Cloud9Google Compute Engine
Small Businesses
PyCharm
PyCharm
Score 9.3 out of 10
Linode
Linode
Score 9.2 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.3 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
Enterprises
PyCharm
PyCharm
Score 9.3 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Cloud9Google Compute Engine
Likelihood to Recommend
7.1
(9 ratings)
8.3
(27 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
8.0
(2 ratings)
9.1
(8 ratings)
Support Rating
8.0
(3 ratings)
8.6
(19 ratings)
User Testimonials
AWS Cloud9Google Compute Engine
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
We use Google Compute Engine in a hybrid and multi-cloud solution. We find that using it for direct ad-hoc use cases meets all of our demands. We have attempted some more complex networking and multi-regional use cases but were not able to achieve satisfactory results. Google Compute Engine is extremely appropriate for anyone requiring quick, scalable, reliable infrastructure.
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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
  • A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
  • Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
  • Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
  • Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
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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
  • The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
  • It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
  • Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
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Likelihood to Renew
Amazon AWS
No answers on this topic
Google
Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.
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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
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
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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
  • The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
  • Google support was great and their presence on site was very helpful in dealing with various issues.
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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
I've used the AWS stack, the Azure stack, OCI, and IBM cloud. I have found GCP and AWS the easiest to deploy, configure, manage, and so on. Google has offered me at least 5 free in person classes to train me in new features on the platform. Likewise AWS has offered me probably 10 to 15 guided online tutorials, with a person to field any questions. All of this free training will no doubt affect my experience in a serious way, so keep that in mind as a reader. Outside of ease of use and configuration, I haven't experienced performance problems across any of the cloud services that I have used.
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Return on Investment
Amazon AWS
  • Positive: No need to buy additional hardware to serve as buffer.
  • Negative: Service downtime causes significant productivity losses.
  • Negative: Users get locked into a certain subset of tools, which are not always appropriate.
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Google
  • Positive impact on the OpEx with reduction in CapEx resulting from reducing the time to move a workload from on-prem to the cloud
  • Incased RoI by reducing need for on-prem compute
  • Improved agility by providing the option to take on new AI workloads for test and dev without the need for upfront investment in
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ScreenShots