We performed a comparison between Amazon AWS and Google Cloud 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."It's a very flexible and customizable service"
"The initial setup is straightforward."
"It has several valuable features, but the load balancer, auto-scaling, and RDS database are the main ones. It is a complete cloud infrastructure solution."
"Amazon has a much better understanding of the workflow of data scientists and machine learning processes. This is seen by their SageMaker which offers different versions of the models to be used."
"The features with Amazon AWS that I have found most valuable are its flexibility and high availability. These are the most important and attractive points for me."
"Great scalability."
"As a service vendor, we have helped clients to achieve faster "go to market" on their products, and have provided highly flexible cost-effective system management solutions."
"The reason I like AWS is that they have a large market share and a large presence. When it comes to our use case, a big positive is that MuleSoft and AWS are working together very well. So instead of competing against each other, they're meshing together."
"I like that it is free. It's easy to use, and it's reliable."
"The availability has been increased."
"The solution works well for BigQuery and big data analysis support such as column alerts and tabular databases."
"You can just connect and start using it through a browser within a few minutes."
"The customer service team for this solution is very knowledgeable."
"The solution is user-friendly and easy to spin."
"Google Cloud is a good alternative solution. I think it's a better fit for Mac operating systems than Windows. If you're utilizing Google Cloud for something like big data, then their big query is decent."
"It didn't take long to get everything set up and understand what was going on. Things are pretty clear."
"While feasible, custom configuration will be more time consuming than standard."
"It just needs to be improved from the security perspective."
"There are some limitations for certain applications that happen regionally and it is an issue for us."
"The price could be better. Support for data analytics could be better. I don't see much support for data analytics. They have a lot of support in Azure, but I don't see a lot of innovation on the data analytics side in AWS."
"The interface is relatively complex."
"Amazon AWS is a very poor product for students. Microsoft Azure is a better solution."
"Some extensions are better than others."
"The dashboard can be improved a little bit to provide more information."
"Lower pricing would make Google Cloud better."
"They need to improve the costing for predictive analytics, which is mainly related to the tools that come with AI. They also need to improve the BigQuery cost optimization and the visualization."
"I cannot recall coming across any missing features."
"When companies grow at a larger scale, they may shift to a different cloud services provider like AWS or Oracle."
"An area of improvement would be in the of managing accounts in terms of what we are using for memory, availability, and monitoring."
"The Spanish version is in beta. It needs to be farther along."
"I consider Azure more secure than Google and Amazon because of all its certifications, but Google is secure enough and improving."
"The UI is beautiful but not easy to use, and also a little slow. Anything that you click is slow to load. It is also not easy to find something. I do not find the left-hand side menu good. We have a lot of options mixed there and we need the best way to deploy cloud resources. I prefer Azure ARM templates since their JSON files are easy to manipulate and integrate with other tools."
Amazon AWS is ranked 2nd in Infrastructure as a Service Clouds (IaaS) with 250 reviews while Google Cloud is ranked 4th in Infrastructure as a Service Clouds (IaaS) with 66 reviews. Amazon AWS is rated 8.4, while Google Cloud is rated 8.2. 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 Cloud writes "Great for big data with off-the-charts scalability for storage and databases". Amazon AWS is most compared with Linode, OpenShift, Microsoft Azure, SAP Cloud Platform and Oracle Cloud Infrastructure (OCI), whereas Google Cloud is most compared with Linode, Alibaba Cloud, Oracle Cloud Infrastructure (OCI), Pivotal Cloud Foundry and VMware Tanzu Application Service. See our Amazon AWS vs. Google Cloud report.
See our list of best Infrastructure as a Service Clouds (IaaS) vendors and best PaaS Clouds 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.
I have worked with AWS for 4 years now and I agree with the recommendation.
If you make some research AWS will be shown as the top solution in many white papers. We made an evaluation to compare it with Google and Azure. In our case, AWS is the most cost-effective.
Depending on the solution you are running you need to check the license cost for your servers. If you have a lot of Windows solutions Azure may be a better fit.
Regarding performance, we did have an incident where the complete region was unreachable. So, make sure to consider recovery sites.
I would like to recommend MS Azure to start with.
The reasons are:
1. I bet you're using many Microsoft tools, like Office 365, Team, etc. so you're pretty familiar with the MS UX which is excellent.
2. It's easy to start/learn Azure and configurations, they have very detailed documentation online.
3. It's relatively cheaper with Azure IaaS with good starting numbers of notes/services.