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Amazon AWS vs Modal Labs comparison

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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:
 

Categories and Ranking

Amazon AWS
Ranking in Infrastructure as a Service Clouds (IaaS)
2nd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
260
Ranking in other categories
PaaS Clouds (2nd)
Modal Labs
Ranking in Infrastructure as a Service Clouds (IaaS)
17th
Average Rating
8.0
Reviews Sentiment
2.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Amazon AWS is 13.3%, down from 16.0% compared to the previous year. The mindshare of Modal Labs is 0.8%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Infrastructure as a Service Clouds (IaaS) Mindshare Distribution
ProductMindshare (%)
Amazon AWS13.3%
Modal Labs0.8%
Other85.9%
Infrastructure as a Service Clouds (IaaS)
 

Featured Reviews

MM
Data Analyst at a tech vendor with 10,001+ employees
Cloud training has boosted my data analytics skills and simplifies building small projects
One area that could be improved in Amazon AWS is its learning curve. The large number of services and configuration options can be overwhelming, especially for new users. Understanding its pricing can also be challenging, as costs can add up unexpectedly if resources are not monitored carefully. For data analytics, setting up and integrating services such as S3, Glue, and Athena sometimes requires a good understanding of permissions, data formats, and service configurations. More guided, simplified onboarding for analytics use cases would make the platform more accessible. One additional area for improvement is documentation and service selection. Amazon AWS offers many services with overlapping capabilities, and it can sometimes be difficult for users to determine which service is the best fit for a particular use case. More decision support tools and guided recommendations would help reduce this complexity. From a data analytics perspective, cost visibility could also be improved since analytics workloads can scale quickly. Having more proactive cost forecasting and optimization recommendations would help teams manage budgets more effectively. Another challenging area is IAM and permission management. While Amazon AWS provides strong security controls, configuring permissions correctly can be complex, especially when multiple analytics services need to interact with one another. Simplifying permissions while maintaining security would enhance the overall user experience. The other area I would mention for improvement is the overall user experience. Given the huge number of services, which are truly excellent, it can sometimes feel overwhelming to navigate, especially for a new user that requires much training. A more streamlined interface and clearer recommendations between similar services would make it easier to get started. I would also like to see more built-in cost optimization guidance and cost management tools. Other than that, Amazon AWS is a very good and mature platform. Most of my feedback is about making it easier to learn, manage, and optimize rather than adding new capabilities.
reviewer2855421 - PeerSpot reviewer
AI Engineer at a university with 10,001+ employees
Low-friction compute has accelerated my prototyping and supports fast code evaluation runs
I don't have anything else to add about my main use case or how Modal Labs fits into my workflow. I don't want to add anything else about the features. I don't measure my outcomes with Modal Labs, but my experience has been pretty good for use cases where other providers, which usually involve renting out the full VM, is too much of a high-friction option. This being low-friction is valuable. I have no comments regarding Modal Labs's AI capabilities, specifically about its governance and security because I haven't used it in that context. Regarding Modal Labs's AI capabilities, I find its accuracy and reliability of output to be extremely reliable. I don't think there is anything to improve regarding accuracy because it is a provider. I use Modal Labs for experimentation on and off, and I do not properly deploy it. I did not purchase Modal Labs through the AWS Marketplace. I used the free tier. My advice to others looking into using Modal Labs is to try it, as they have thirty dollars of free credits every month. I give Modal Labs an overall rating of eight.

Quotes from Members

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

Pros

"This is a great cloud platform and scalability is an outstanding feature."
"What I liked most about Amazon AWS are its services and infrastructure, as it's a very user-friendly platform with servers that are more reliable than others."
"We write a lot of Lambda functions for various services, as well as serverless functions."
"The product's scalability is good."
"Technical support is quite helpful."
"So far, the stability is the solution's most valuable aspect."
"The solution has good speed. It's very fast."
"I like that it helps us do everything really fast, and its advanced services."
"Modal Labs has positively impacted my organization and my work because I don't think there is any other provider that lets me attach it as functions, and I think it fits my workflow more naturally."
 

Cons

"When I try to enter the multi-cloud, they provide very poor support. Support is a concern with Amazon."
"The technical support should be better than what is on offer right now."
"What I would like to improve about Amazon AWS is the pricing, which is quite expensive for us, and we would definitely try to lower our spending because we are using quite a lot of our budget on Amazon AWS."
"It could be cheaper, and Amazon could also be more transparent with its pricing. I would first expect any product vendor to give me the utmost transparency on pricing information."
"There should be improvement in terms of creating databases of varying sizes which would provide flexibility."
"Unfortunately, the price is high."
"An area for improvement would be their technical support packages. They should improve the technical support packages for users on free trial."
"They should look into reducing the price of this solution to stay competitive."
"Modal Labs could be improved by not charging for the building of containers, as it turns out to be more expensive for certain use cases like mine where I have to try out many different containers."
 

Pricing and Cost Advice

"I think they've done a pretty good job with their pricing."
"They have a pay-as-you-go subscription."
"We are on an annual subscription for Amazon AWS."
"In terms of price, there are less expensive options."
"Amazon AWS is on the cheaper side, as their pricing is more competitive. There are no additional costs besides the license. However, Azure sells Microsoft licenses, so they have an advantage."
"One of the best thing in Amazon AWS is you are billed for the service you use."
"The price is quite good; it is a pay-as-you-go option."
"The tool’s pricing is reasonable."
Information not available
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Comparison Review

it_user8586 - PeerSpot reviewer
Engineer at a tech consulting company with 51-200 employees
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
11%
Outsourcing Company
10%
Construction Company
9%
Manufacturing Company
9%
University
19%
Outsourcing Company
9%
Construction Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business131
Midsize Enterprise48
Large Enterprise120
No data available
 

Questions from the Community

How does OpenShift compare with Amazon AWS?
Open Shift makes managing infrastructure easy because of self-healing and automatic scaling. There is also a wonderful dashboard mechanism to alert us in case the application is over-committing or ...
How is SAP Cloud Platform different than Amazon AWS?
How is SAP Cloud Platform different than Amazon AWS? Amazon AWS offers options both in terms of upgrading and expanding capabilities as well as acquiring greater storage space. These upgrades can ...
Looking to compare Google Firebase, Amazon AWS, and Microsoft Azure
We like Google Firebase hosting and authentication and also the excellent cloud functionality. Our team found the flexibility of handling and dealing with the database through EDL to be very useful...
What needs improvement with Modal Labs?
Modal Labs could be improved by not charging for the building of containers, as it turns out to be more expensive for certain use cases like mine where I have to try out many different containers. ...
What is your primary use case for Modal Labs?
My main use case for Modal Labs is to accelerate my prototypes because I find it effective. A specific example of a prototype I accelerated using Modal Labs is when I wanted to run evaluations for ...
What advice do you have for others considering Modal Labs?
I don't have anything else to add about my main use case or how Modal Labs fits into my workflow. I don't want to add anything else about the features. I don't measure my outcomes with Modal Labs, ...
 

Comparisons

 

Also Known As

Amazon Web Services, AWS
No data available
 

Overview

 

Sample Customers

Pinterest, General Electric, Pfizer, Netflix, and Nasdaq.
Information Not Available
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Infrastructure as a Service Clouds (IaaS). Updated: September 2026.
913,806 professionals have used our research since 2012.