We performed a comparison between Google Compute Engine and Rackspace Cloud [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Oracle and others in Infrastructure as a Service Clouds (IaaS)."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."
"The main motive for choosing Google Compute Engine is pricing."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"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."
"From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"The most valuable feature for us is the support, which is really efficient."
"Image backup is a valuable feature. Even though this is a common feature, it is very helpful for us."
"There is easy integration with multiple providers and third-party services."
"The licensing process is not a very straightforward process."
"It is not very user-friendly for non-experienced users"
"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."
"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."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"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."
"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."
"I rate the product's stability around five to six out of ten."
"It doesn't offer Elastic IP like AWS. And also we can't configure our server based on region."
"It would be nice to have more built-in suites compared to others. It would enable easier integration."
Earn 20 points
Google Compute Engine is ranked 11th in Infrastructure as a Service Clouds (IaaS) with 13 reviews while Rackspace Cloud [EOL] doesn't meet the minimum requirements to be ranked in Infrastructure as a Service Clouds (IaaS). Google Compute Engine is rated 8.8, while Rackspace Cloud [EOL] is rated 8.6. The top reviewer of Google Compute Engine writes "A cost-effective and quite an elastic solution ". On the other hand, the top reviewer of Rackspace Cloud [EOL] writes "There is easy integration with multiple providers and third-party services". Google Compute Engine is most compared with Google App Engine, Microsoft Azure, IBM Public Cloud, SAP Cloud Platform and Oracle Cloud Infrastructure (OCI), whereas Rackspace Cloud [EOL] is most compared with .
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.
