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Amazon AWS vs Virtustream xStream 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)
Virtustream xStream
Ranking in Infrastructure as a Service Clouds (IaaS)
27th
Average Rating
9.0
Reviews Sentiment
7.4
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 Virtustream xStream is 0.8%, up from 0.3% 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%
Virtustream xStream0.8%
Other86.4%
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.
RH
Business Systems Manager at a consultancy with 1,001-5,000 employees
Improves efficiencies, has encryption, and great mission-critical customer support
Previously we had an amateur solution where we were managing on our own data center but we had the management in-house. It was a strategic move to give people who were more competent and with business focus other core initiatives. It was a strategic outsource model. The equipment we were using was out date and at the end of its life cycle, we had to make some transitions, do a hardware replacement, or move on. We moved on to this solution.

Quotes from Members

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

Pros

"I like that it's easy to use."
"It scales well and is flexible."
"I like the storage, all the codes like Lambda and Amazon EMR."
"Comprehensive Cloud platform offering, with a huge ecosystem of ISV partners, great selection of pre-built images, and much more!! Pricing cannot be beat, and new features and reduction in price are always in the works."
"AWS is not an expensive product."
"There is less work for the DBAs. Everything is handled in AWS itself."
"We deploy our core application and our integration platform on AWS EC2 instances. These applications contain multiple containerized Python Django applications, which need to scale up and down dynamically."
"We like the that, within the public subnet of this solution, a new instance of the tool is launched when it detects an issue, in order to prevent interruptions in performance."
"Once we made the move to this solution, we received efficiencies, 100%, 200%, even up to 1000%, depending on some processes."
"The solution has encryption which we did not have before."
 

Cons

"A bit costlier than Microsoft Azure based on computer per hour and outbound bandwidth."
"AWS could use better integration with other products and clouds."
"AWS sucks, even though I am a customer."
"There are plenty of areas for improvement. For example, the ease of tagging could be improved. The tool could integrate AI tools to identify better and manage costs. Calculating the cost of some services could be more straightforward."
"There are some areas that are not great. For example, with some Microsoft technologies such as .NET, you will have a difficult time deploying it on AWS."
"The product is a bit costly."
"The connection between the billing console and the management console is not obvious so shutting down a machine was hard to find initially and resulted in excess billing."
"They should have a better big data stack."
"Our account representative was inexperienced, they could improve on how they are managing accounts."
 

Pricing and Cost Advice

"AWS is not an expensive product."
"The solution's pricing depends on your traffic since they charge you based on the traffic, not the servers. The price can go into many, many thousands depending on the traffic."
"In comparison to Google Cloud Platform and Microsoft Azure, the database offered by Amazon AWS is relatively expensive. However, the database also offers rich features."
"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."
"The solution is expensive, and I rate it an eight out of ten."
"​AWS is much too expensive compared to current on-premises solution for this type of work."
"Licensing is on a yearly basis. I believe we are satisfied with the current pricing. Otherwise, we would have switched to another vendor."
"The tool’s pricing is reasonable."
"The solution is a bit expensive, we are still negotiating the price."
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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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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
10%
Construction Company
9%
No data available
 

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

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Also Known As

Amazon Web Services, AWS
No data available
 

Overview

 

Sample Customers

Pinterest, General Electric, Pfizer, Netflix, and Nasdaq.
Continental, Domino Foods, Florida Crystals, Intel, Lanx, UOL Group
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.
920,574 professionals have used our research since 2012.