We performed a comparison between Amazon AWS and Google Compute Engine based on real PeerSpot user reviews.
Find out in this report how the two Infrastructure as a Service Clouds (IaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The stability of the solution is very good."
"I am impressed with the solution's EC2 EKS."
"The product is highly scalable."
"We use AWS for multiple purposes, such as developing APIs and API integration using API Gateway. We use API Gateway, Python Combinator, Lambda Glue, and ETL Process. We have used EMR for big data processing. If we need a tool for computing, we go with the Lamda DMS. There are many services available in AWS that meet our needs."
"The most valuable features are load balancers, databases, and S3 buckets."
"It is very easy to set up. It is also easy to use. It has a lot of services and integrations. We've been able to integrate whatever we need until now."
"Security, quick deployment, and scalability are the top three features for me."
"The most valuable feature is that it is simple."
"The initial setup is reasonably straightforward. It's a handful of networks and a handful of computers."
"One of GCE's best features is the managed instance groups."
"The support for ephemeral instances has been particularly valuable for me. It allows me to significantly reduce costs for temporary virtual machines by automatically destroying them once they are no longer needed, which can result in cost savings of up to 90 percent. Additionally, the solution is easy to use."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"The most valuable feature is auto-scaling."
"Everything is simple and useful. The initial setup is not challenging."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"The solution helps to direct SSH into the machine at the click of a button. It also helps to deploy container images right from the UI. There is no need to manage the containers on the machine. I also like the tool’s Spot provision model."
"It would be better if there was a way to see which components were still on. We have some situations where I forget that some components are turned on. We forget some components are on, and we only see that these components are on when we see the bill at the end of the month. It would also be better if AWS had specialized firewalls or integrations with leading products. For example, a specialized firewall with content filtering. We were looking for some firewall tools, and we saw that AWS doesn't have any specialized firewall tools in its services portfolio. So, we are looking for other tools like FortKnox, Forcepoint, and Check Point because we didn't find the solutions in AWS services."
"I also use Google Cloud GCP and AWS cannot directly use the Azure EC2 consult. They could add that feature. Direct connection to the EC2 console server would be very useful."
"AWS support could be better."
"When I try to enter the multi-cloud, they provide very poor support. Support is a concern with Amazon."
"We have had some difficulty figuring out how to monitor how many EC2 instances have been networked into our entire enterprise. We usually try to create a diagram outside of AWS. The types of information we are trying to determine are, for example, what hardware devices are interconnected, and when was the interconnection made."
"They do not yet have a complete solution for APM monitoring. But this, along with real user monitoring, is something that they are actively working on improving."
"The solution could improve by being more secure."
"Pricing is the one feature everyone wants AWS to improve."
"It is not very user-friendly for non-experienced users"
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"The licensing process is not a very straightforward process."
"I would like to improve the solution’s UI while deploying a container. It is sometimes hard to figure out the container’s details and format that you want to deploy. The tool does not give you a guide to find out the error and why the container is not starting up which could be because you have configured it wrong. This is always a hit on the setup."
"There have been instances when a customer has tried to deploy a certain number of VMs inside a project, and they come across quota issues."
"Google Compute Engine does not have many options at a lower tier level. If they had more options it will be better. For example, Amazon AWS or Microsoft Azure, have more options and different types of instances, of VMs we can select."
"It has some limitations. For example, you don't get through layer two connectivity. So I've had some difficulty deploying custom VMs. For example, you can't deploy a KVM file to file directly on GCP."
"The biggest problem is that it's got a very archaean and complex security environment that has to be very carefully set up and is easy to break."
Amazon AWS is ranked 2nd in Infrastructure as a Service Clouds (IaaS) with 250 reviews while Google Compute Engine is ranked 10th in Infrastructure as a Service Clouds (IaaS) with 13 reviews. Amazon AWS is rated 8.4, while Google Compute Engine is rated 8.8. The top reviewer of Amazon AWS writes "Reliable with good security but is difficult to set up". On the other hand, the top reviewer of Google Compute Engine writes "A cost-effective and quite an elastic solution ". Amazon AWS is most compared with Linode, Microsoft Azure, Red Hat OpenShift, SAP Cloud Platform and Oracle Cloud Infrastructure (OCI), whereas Google Compute Engine is most compared with Google App Engine and Oracle Cloud Infrastructure (OCI). See our Amazon AWS vs. Google Compute Engine report.
See our list of best Infrastructure as a Service Clouds (IaaS) vendors.
We monitor all Infrastructure as a Service Clouds (IaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.