We performed a comparison between Cloud Foundry, Google Compute Engine, and Microsoft Azure based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Oracle and others in PaaS Clouds."My favorite component of IBM's solution is Node-RED, which greatly shortens the amount of time required to develop, test, and deploy new applications."
"Cloud Foundry builds the runtime environment directly without requiring dependency management from the user."
"IBM is the only vendor to offer integration with blockchain for smart contract development."
"The most valuable feature is auto-scaling."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"One of GCE's best features is the managed instance groups."
"The main motive for choosing Google Compute Engine is pricing."
"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."
"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."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"The most valuable features of this solution are the Access Management and the PIN modules."
"The tool's most valuable features are SQL servers and Managed Instance databases."
"It is easy to deploy."
"The most valuable feature is the interface."
"The cycle development time is pretty fast, and there's very good coupling within the whole set of Microsoft tools, from database to the ETL engine, ingestion through Azure Data Factory, then modeling Synapse Analytics, and reporting through Power BI."
"We have found the user interface to be intuitive. Microsoft is a master at UI."
"Azure allows us to bring applications to life quickly."
"I like that it is user-friendly and flexible."
"In IBM Cloud, the product has been deprecated in favor of Kubernetes, which is a more complicated infrastructure to manage."
"After the initial excitement period with Node-RED is over, you crave the need of additional integrations to third-party services."
"I rate the product's stability around five to six out of ten."
"It is not very user-friendly for non-experienced users"
"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."
"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 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."
"It would be better if there was an option to change the background. Like in Gmail, there's an option to change your theme."
"The solution is too expensive."
"The initial setup can be improved."
"Difficult to understand how it works and it's an expensive solution."
"The support team is not responding to my emails."
"Monitoring options should be more sophisticated, as there are dashboards on which a end user is able to pin a lot of charts and a number of web parts, but for example, I would love to have some option like in Operational Management Suite."
"Microsoft Azure needs to be simplified to make it better understood for users."
"Auto ML could be improved technically."
"Navigating the frequent changes in the interface has been a challenge, requiring effort to keep up with updates. Options or features that were once located in one window may unexpectedly move to another, making it hard to stay current with the changes."