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AWS Savings Plans vs CAST AI 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:
 

Categories and Ranking

AWS Savings Plans
Ranking in Cloud Cost Management
39th
Average Rating
9.4
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
CAST AI
Ranking in Cloud Cost Management
19th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Cloud Cost Management category, the mindshare of AWS Savings Plans is 1.7%, up from 1.1% compared to the previous year. The mindshare of CAST AI is 1.6%, down from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
CAST AI1.6%
AWS Savings Plans1.7%
Other96.7%
Cloud Cost Management
 

Featured Reviews

Raul G. Cortina - PeerSpot reviewer
IT Manager at CONCRETOS LA SILLA
Flexible and a good solution for user with different environments
The setup was generally easy. The most complex aspect was configuring the VPN. While not overly difficult, it was more challenging compared to setting up other VPNs. However, once we resolved the initial VPN configuration issue, everything has been smooth sailing. It's a matter of familiarity. Initially, the technology is unfamiliar, but with experience, configuration becomes easier. Deployment time: We didn't have any problems. We determined the implementation date, considered the transition for ourselves and our users, and it went smoothly. Maintenance: There isn't much required. If the stability, resolution, and capacity planning are correct for our needs, or if we need to expand storage, then maintenance is mostly handled by our banking team.
DeepakReddy - PeerSpot reviewer
Sr.Devops engineer at Scaler
Automated cost controls have cut cloud waste and free our team to focus on new projects
CAST AI can be improved in that automation policies require careful tuning. Sometimes it can be confusing for non-technical people or managers who are not familiar with technical details. However, it is good for technical people who are already into DevOps or cloud engineering. Spot strategies may need adjustment for sensitive workloads. The reporting and UI part can be somewhat better. Technical support can also be improved. Documentation is somewhat unclear sometimes, but not everywhere. There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing. These features are very good for our organization because they reduce a lot of cost and reduce a lot of manual effort. However, some things can be improved, such as automation policies that require careful tuning and may need somewhat more help. Spot strategies can be improved, and some UI and documentation can also be improved.

Quotes from Members

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

Pros

"The most valuable feature of AWS Savings Plans is we can discuss budgets briefly during our confirmation process since we are aware of our usual consumption patterns. Creating budgets in this regard would be beneficial, as it would allow us to consume only what we need, without including reserve instances that do not serve our purpose."
"It's a no-brainer, basically, it does all the work for you and gives you the optimum solution you have to accommodate your company even within future variabilities and changes you may do."
"AWS is consistently innovating and releasing new products and features."
"The initial setup is very easy."
"In the last Q2 result, because of using CAST AI, we have reduced our manpower, money, and cost by 20 to 30%, which indicates substantial funding reduction."
"CAST AI's machine learning algorithms that listen to the data generated by the cluster in order to optimize the workloads are among the best features offered."
"CAST AI monitors the workloads in the cluster and optimizes the number of nodes needed, their CPU and their memory so that we pay as little as possible."
"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."
"Since adopting CAST AI, we achieved approximately 30-40% reduction in Kubernetes infrastructure costs."
"CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills, really impacting our organization positively and enabling us to use our cloud better."
"In terms of cost savings, we have currently reduced our costs by 30 to 40%, and it saves time while managing infrastructure because it continuously monitors and provides the nodes to the application, so we don't need to do anything ourselves."
"We have achieved approximately 30% to 40% reduction in Kubernetes infrastructure cost with CAST AI, and we also reduced manual cluster management activities significantly, especially around node scaling and capacity planning."
 

Cons

"In the future, it would be interesting if there could be a combination of Savings Plans and some Reserved Servers."
"The visibility of AWS Savings Plans could improve."
"The most complex aspect was configuring the VPN."
"I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies in CAST AI."
"To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies."
"I would like to see more granular reporting, deeper cost allocation insight, and additional customization options for optimization policies in CAST AI."
"Perhaps improving the documentation a little would allow it to reach that rating, which has benefited me regarding that specific focus."
"CAST AI can be improved in that automation policies require careful tuning."
"The limitations of CAST AI include reporting and customization options."
"I would like to see CAST AI improved with deeper and more intelligent answers and solutions, along with additional optimization and customization options."
"CAST AI could be improved by adding some AI agent capabilities."
 

Pricing and Cost Advice

"Compared to Azure or Google, the solution is much cheaper."
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Top Industries

By visitors reading reviews
No data available
Energy/Utilities Company
15%
Financial Services Firm
12%
Educational Organization
11%
Media Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise2
 

Questions from the Community

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What is your experience regarding pricing and costs for CAST AI?
In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment. Organizations with larg...
What needs improvement with CAST AI?
The limitations of CAST AI include reporting and customization options. I think they can improve in these areas, especially when some advanced settings require a learning curve, particularly for te...
What is your primary use case for CAST AI?
Our main use case for CAST AI is Kubernetes cost optimization, automated node provisioning, and improving cluster efficiency. I can provide a specific example of how we use CAST AI for Kubernetes c...
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
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Find out what your peers are saying about AWS Savings Plans vs. CAST AI and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.