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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)
18th
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 November 2026, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Amazon AWS is 12.8%, down from 16.9% compared to the previous year. The mindshare of Modal Labs is 0.7%, 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 AWS12.8%
Modal Labs0.7%
Other86.5%
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

"Since AWS came a bit later to the market, they are always improving and upgrading their platform."
"The installation process is very simple."
"The environment is a rich playground, and if you tried to do the same things on-premises that you do on AWS, it would be a lot more challenging to execute. You can open up a virtual machine on AWS, run some experiments, and be done with it. It's much easier than buying new servers, provisioning them, etc"
"AWS is stable and has provided a reliable infrastructure for my organization."
"In summary, this is definitely a product that I recommend because it's stable and the capabilities and features are better than some of the competitors."
"I like the auto-scaling functionality and compliance requirements, whichever they are requesting."
"Easy to access and secure, two important features."
"Amazon, in terms of cloud infrastructure, is really robust."
"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

"There is room for improvement in pricing."
"The interface could be improved."
"We have a very good approach internally with what we have developed. It involved overcoming some hurdles regarding the single point of truth or single point of configuration, which is sometimes not that easy for AWS. There are dashboards and you have your web service, but bringing all these together and orchestrating is sometimes quite difficult."
"Like anything, Amazon AWS has room for improvement, but it's not bad."
"Not all of the functionality is available in Europe and our customers in France want to be able to use features that are only available in the US."
"The pricing is expensive"
"There have been some issues in the past when it comes to file integrations in AWS's cloud products. However, there are now alternative solutions out there that are helping to integrate them all."
"AWS has room for improvement on the Kubernetes side. I would like to go a little deeper into the Kubernetes target, Elastic, inner system, and all that. The EKS, target, and all these areas need to be improved, but that is not my key area because I am mostly working on the application side."
"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

"The prices are a bit high."
"The pricing is one of the best in the segment."
"Some customers will provide their own license and others will purchase it directly from AWS."
"We are reducing costs year-over-year."
"Its price is kind of okay. When we do a migration from on-premises to the cloud, we typically use the lift-and-shift model. Based on the studies that we have done, cost savings are definitely there when we moved from on-premises to the cloud."
"There are many variables involved in pricing service in AWS and overall the pricing is a bit on the higher side."
"This is not an expensive product but it would be an improvement if the price were cheaper."
"Pricing is good. It's average."
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
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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
12%
Manufacturing Company
10%
Outsourcing Company
10%
Construction Company
9%
University
18%
Outsourcing Company
10%
Construction Company
8%
Comms Service Provider
8%
 

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), Akamai and others in Infrastructure as a Service Clouds (IaaS). Updated: October 2026.
920,929 professionals have used our research since 2012.