AWS Cloud9 vs. Google Compute Engine

AWS Cloud9 is great for product engineering and coding where you must take time to pair program and code in a specific isolated environment. It is entirely cloud based so there's no worry about saving and data consistency. It is all hosted on the Amazon Web Services cloud. It is less appropriate for more general workflows that don't require a specific cloud instance.

Incentivized

It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.

Incentivized

• Great, fast interface - There is a large list of shortcuts that make development on this IDE an experience that can sometimes even compare to something native.
• Integrated debugging/troubleshooting - AWS Cloud9 has integrated debugging tools that are quite well-designed.
• Lambda integrations - Cloud9 allows you to instantly run and maintain Lambda functions. It's probably the best IDE for developing on AWS Lambda.

Incentivized

• 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.

Incentivized

• According to the project that is being executed it can become slow.
• It does not have the basic text manipulators.
• Shared terminals sometimes take a while to display.

Incentivized

• 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.

Incentivized

Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

Incentivized

I rate AWS Cloud9 a 7/10 for usability. It is seamless browser access and pre-configured terminal simplify setup for cloud-native tasks. However, the lack of offline capabilities and its legacy status compared to tools like CodeCatalyst hinder the experience. It remains functional, yet feels increasingly dated in early 2026

Incentivized

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.

Incentivized

Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

Incentivized

Google Compute Engine usually delivers good and predictable performance for our self-hosted stack of applications. However, when running n8n heavy workflows, even with a tunned instance configuration in docker, performance usually peaks usually due to memory usage. We often need to upgrade memory when we have heavier data processing and workflows. Other than that, in a normal usage, we don't really have any problems

Incentivized

Customer support is managed by the Cloud support team. I won't be able to comment on details, but it's fast.

• 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.

Incentivized

S3 is a great service for storing unstructured data. It is cheap and us an user we don't have to care about scaling. Amazon S3 is a managed service. We use it for avery simple projects in our organization.

Incentivized

When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.

Incentivized

It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

Incentivized

• This software has been really useful for our company since thanks to the fact that you can work together with other colleagues in the same code, it is much easier to advance in the development of projects and thus be able to make your delivery in a much shorter time.
• Because it provides all the necessary tools to develop projects, there is a great saving of time and costs.
• It is easy to use so any user can use it and this makes it possible to streamline each project much faster and more if you do not necessarily have to be in the company to advance in them, and this is thanks to the fact that it can be used from anywhere with internet access.

• Scalability means flexibility and less upfront costs
• Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
• Ramp up time is long, but after that it is quick to do many things and ROI is awesome

Incentivized