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Amazon AWS vs Google App Engine vs Microsoft Azure comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.9
AWS offers cost savings, scalability, and agility with a pay-as-you-go model, attracting clients and reducing overhead.
Sentiment score
5.4
Google App Engine ROI varied, with cost reductions and efficiency gains, largely depending on user expertise and deployment strategies.
Sentiment score
6.4
Microsoft Azure reduces costs with scalable services, pay-as-you-go model, and improved infrastructure, enhancing long-term returns and performance.
Once we deployed this same application as part of Google App Engine, the cost drastically reduced to just $120 for the small instance we use for our development.
Operationally, it was efficient for us because we could easily spin up new versions to demonstrate new functionality without modifying the original environment.
Google App Engine offers discounts for high resource utilization, similar to committed use discounts for Compute Engine.
The value for money is good, and Microsoft Azure has positively impacted our operational costs.
When we use Microsoft Azure, it provides enhanced security from our perspective, though I am not certain about the financial return on investment or benefits for our users as I do not have that information.
 

Customer Service

Sentiment score
6.9
AWS is favored for reliable support and problem-solving despite concerns over response times and communication efficiency.
Sentiment score
5.6
Google App Engine support varies; some users praise quick help, while others experience delays, relying on documentation or tiered support.
Sentiment score
6.5
Microsoft Azure's support is often effective, yet some face delays; higher-tier support and self-help resources improve experiences.
Reaching out to them and talking is different from receiving a complete solution to your problem.
We have a direct line to Amazon AWS, with premium support and AWS members located within the company.
Amazon AWS has good technical engineers available, making their customer service reliable.
They route us toward the appropriate team handling Google App Engine or other services, so when there is an issue, the respective team connects and provides support.
The technical support was very quick and responsive, with a direct team line available.
Technical support for Google App Engine is efficient and offers a brilliant solution.
Microsoft needs to engage L3 and L2 in support when specified in service tickets.
The support from Microsoft Azure is good.
Regarding technical support from Microsoft, I find they are responsive and helpful, depending on which support package you're on.
 

Scalability Issues

Sentiment score
7.9
Amazon AWS provides seamless vertical and horizontal scalability, supporting diverse customer needs from startups to large enterprises efficiently.
Sentiment score
6.8
Google App Engine is praised for its scalability, automatic scaling, seamless load handling, and integration with third-party applications.
Sentiment score
7.7
Microsoft Azure offers scalable solutions, but users face challenges with costs and resource limits, leading some to prefer competitors.
The scalability of Amazon AWS is excellent.
Amazon AWS provides strong scalability features, but the scaling process could be made more straightforward.
Scale-out is usually good with Amazon AWS.
Google App Engine scales well in the standard environment, which automatically handles traffic without manual scaling.
Google App Engine is highly scalable and can integrate easily with other applications.
With automatic scaling, Google Cloud handles the scaling process, which leads to my high rating.
Microsoft Azure is not just one product; it is a platform with multiple products within Microsoft Azure, and I would say it is scalable and would rate it a nine.
The scalability of Microsoft Azure is excellent for growth and adaptation, depending on company requirements.
It has different kinds of designs that allow for management and deployment in multi-zones, offering both scalable and non-scalable options.
 

Stability Issues

Sentiment score
8.1
Amazon AWS is highly reliable with minimal issues, strong infrastructure, and stability often rated between eight and nine.
Sentiment score
7.3
Users find Google App Engine stable and reliable, with rare network issues and minimal maintenance needed for consistent performance.
Sentiment score
7.7
Microsoft Azure is stable with good uptime, though stability varies by configuration; users generally rate it highly.
If I am spinning up any managed service from the console, sometimes it fails to start up, and there will be no information about why it failed.
I have not experienced any crashing or instability with Google App Engine.
However, large code bases can still cause it to slow down.
I would rate the stability of Google App Engine a perfect 10 out of 10, as it is completely managed by Google.
We noticed a few critical servers went down due to a Microsoft Azure-end hardware issue.
We are now migrating clients without the zoning into mandatory multi-zone deployments, so if one zone goes down, their application and database remain live.
Microsoft Azure is quite stable, but recent outages and security issues have slightly decreased my confidence.
 

Room For Improvement

AWS users face challenges in cost, support, complexity, security, documentation, and features, with improvements needed in usability and integration.
Google App Engine struggles with high costs, limited language support, complex migration, inadequate documentation, and restrictive platform features.
Microsoft Azure users seek simplified pricing, improved security, better integration, enhanced documentation, responsive support, and intuitive management tools.
Amazon AWS could improve its user interface to make it more user-friendly, especially for people who are not highly technical.
When using scripts for APIs to fetch data, they don't match the data exactly with the request.
If I create a Glue job, that will create S3 buckets and other resources that have cost implications, but once I clean up a Glue job, it does not delete the other accessory resources.
It would be beneficial if Flex services could scale down to zero instances during periods of no traffic.
The pricing is higher compared to alternatives like Kubernetes and Compute Engine.
In the Flex environment, SSH access is not available for private instances.
Recent outages and security issues are also a concern, causing a decrease in confidence, especially when partnering with third-party companies.
The administrative side is suitable for technical people, but our finance and HR super users find it less user-friendly, as they prefer drag-and-drop features to build their own solutions without contacting IT.
There is still room for improvement in terms of pricing.
 

Setup Cost

AWS offers scalable, flexible pricing suited for enterprises but requires careful management to avoid high costs from storage and data transfer.
Google App Engine offers flexible pricing, affordable for front-end applications, but costs rise with increased usage and advanced features.
Microsoft Azure provides flexible pricing with pay-as-you-go, free tiers, and discounts, emphasizing cost-effectiveness despite complexity.
After three to four years, if you are not managing it correctly, you will be paying more than an on-premise solution, which applies to all cloud providers, so you must regularly maintain and manage for efficiency.
Currently, Amazon AWS is known to be on the higher price range because popular and in-demand services often come at a premium.
For F1 usage with 256 MB, it is free.
My GCP billing is about 10 lakh INR per month, and Google App Engine contributes only 25,000 to 30,000 INR.
The pricing of Google App Engine largely depends on the features chosen; if we opt for the standard edition, it is less expensive, while the flexible option incurs more costs due to always having an instance running.
Microsoft solutions might be cheaper than some services like AWS, but some solutions may be more expensive depending on the services compared.
Copilot is expensive based on recent pricing for our POC.
They have discounts and also provide promotions for a three-year reservation which comes with significant discounts on the infrastructure part.
 

Valuable Features

Amazon AWS offers scalable, secure, and flexible cloud services with automation, diverse tools, and excellent support for efficient resource management.
Google App Engine provides serverless, scalable app development with easy integration, enhancing productivity and security without infrastructure management.
Microsoft Azure is praised for scalability, ease of use, diverse services, strong security, and seamless integration with various technologies.
Amazon AWS offers flexibility and scalability.
One aspect I appreciate in Amazon AWS is their support team, which is excellent.
Amazon AWS offers numerous options to choose from in terms of compute, memory, and instance types.
The solution offers scalability, autoscaling based on user demand, and security, as Google manages all updates and security patches.
I also appreciate the Google App Engine standard environment because it handles traffic scaling without manual intervention.
Deploying code is straightforward without worrying about deployment or integration.
Power BI, another feature of Azure, is extremely elegant and has robust features that support forecasting using R and Python.
If Microsoft gives a report, such as a server performance report in a detailed way, which shows what is consuming more CPU, memory, and disk IO, and network utilization during a particular time, it would be helpful to visualize that information.
What is very interesting in terms of scalability is the automatic possibilities to provision some new machines to be able to absorb the number of users we have in the system.
 

Mindshare comparison

As of September 2025, in the PaaS Clouds category, the mindshare of Amazon AWS is 13.0%, down from 16.2% compared to the previous year. The mindshare of Google App Engine is 2.1%, down from 2.4% compared to the previous year. The mindshare of Microsoft Azure is 18.4%, down from 19.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
PaaS Clouds Market Share Distribution
ProductMarket Share (%)
Microsoft Azure18.4%
Amazon AWS13.0%
Google App Engine2.1%
Other66.5%
PaaS Clouds
 

Featured Reviews

Asif  Meem - PeerSpot reviewer
Managed cloud services have helped accelerate experiments with flexible configuration options
Sometimes the costs associated with spinning up a service, especially managed services, have implications. For example, if I create a Glue job, that will create S3 buckets and other resources that have cost implications, but once I clean up a Glue job, it does not delete the other accessory resources. Sometimes, I have to go hunting for what resources Amazon AWS might have provisioned and how it is costing behind the scenes. It can be complex depending on your level of expertise. It is not as easy to get started, especially when it comes to secure practices. Amazon AWS is more hands-on than other platforms.
Chandra Shekar Reddy Arrabolu - PeerSpot reviewer
Effortless server management and automatic scaling boost productivity
The error logging system in Google App Engine could be enhanced. While there are troubleshooting documents with Google-defined error logs, identifying the exact root cause can be challenging. Often, issues must be escalated through support to product engineering teams who access internal logs for resolution. Increasing the visibility of logging would help users identify issues more easily. Regarding runtimes, the validity period limitations can be problematic. When companies use legacy applications, migrating to new versions requires significant code changes and isn't always a simple lift-and-shift operation. Google App Engine should consider continuing to provide security patches for legacy applications, especially for customers with substantial billing. The manual scaling feature needs improvement, as it isn't available for all runtimes. Adding this capability across all runtimes would be beneficial for controlling instance scaling within specific parameters.
Syed Abid  - PeerSpot reviewer
Versatile integrations and reliable customer satisfaction elevate cloud service experience
For Microsoft Azure improvement, they need to enhance their support system. The first level of support should be improved in terms of quality and response time. They need more technical support at the first level, as there are currently only one or two technical people among five to ten staff members at this level. They should ensure that the first level support is more technical because we normally provide services to technical users ourselves. When an issue arises, it usually escalates to the second or third level. When facing first level support, they may have limited knowledge and only collect screenshots to forward to their seniors. They should ensure that the first level support is aligned with L2 and L3 to better assist us, especially since we mention in the ticket that our issues are related to specific problems and require that sort of support.
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Comparison Review

it_user8586 - PeerSpot reviewer
Aug 14, 2013
Amazon vs Rackspace vs Microsoft vs Google: Cloud Hosting Services Comparison
Amazon Web Services, Rackspace OpenStack, Microsoft Windows Azure and Google are the major cloud hosting and storage service providers. Athough Amazon is top of them and is oldest in cloud market, Rackspace, Microsoft and Google are giving tough competition to each other and to Amazon also for…
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
University
7%
Computer Software Company
13%
Educational Organization
10%
University
8%
Financial Services Firm
7%
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
10%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business131
Midsize Enterprise48
Large Enterprise112
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise7
Large Enterprise13
By reviewers
Company SizeCount
Small Business140
Midsize Enterprise53
Large Enterprise148
 

Questions from the Community

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What do you like most about Google App Engine?
The product's setup and deployment phases are easy.
What is your experience regarding pricing and costs for Google App Engine?
Google App Engine is affordable compared to other available platforms. The pricing structure is reasonable and not ov...
What needs improvement with Google App Engine?
The error logging system in Google App Engine could be enhanced. While there are troubleshooting documents with Googl...
Which is preferable - IBM Public Cloud or Microsoft Azure?
IBM Public Cloud is IBM’s Platform-as-a-Service. It aims to provide organizations with a secure cloud environment to ...
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One of the best features of SAP Cloud Platform is that it is web-based and you can log in from anywhere in the world....
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I would recommend Google Firebase instead of Microsoft Azure, simply for the array of features that it has to offer. ...
 

Also Known As

Amazon Web Services, AWS
No data available
Windows Azure, Azure, MS Azure
 

Overview

 

Sample Customers

Pinterest, General Electric, Pfizer, Netflix, and Nasdaq.
Khan Academy, Best Buy, Gigya, MetOffice, Getaround, Mimiboard, NewsLimited, WebFilings, and CloudLock.
BMW, Toyota, easyJet, NBC Sports, HarperCollins, Aviva, TalkTalk Business, Avanade, and Telenor.
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Red Hat and others in PaaS Clouds. Updated: September 2025.
868,275 professionals have used our research since 2012.