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CAST AI vs Cloud8 Platform 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

CAST AI
Ranking in Cloud Cost Management
13th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Cloud8 Platform
Ranking in Cloud Cost Management
34th
Average Rating
9.6
Reviews Sentiment
2.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.9%, down from 2.0% compared to the previous year. The mindshare of Cloud8 Platform is 0.5%. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
CAST AI1.9%
Cloud8 Platform0.5%
Other97.6%
Cloud Cost Management
 

Featured Reviews

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.
Dilipkumar Bondugula - PeerSpot reviewer
Senior Systems Engineer at a tech vendor with 10,001+ employees
Centralized governance has simplified multi-cloud management and improves compliance monitoring
Cloud8 Platform does not have a lot of improvement areas, but I have a positive experience with it, and one area of improvement would be to provide more customizable dashboards and reporting options so teams can tailor the platform to their specific operational needs. I would also like to see more AI-driven recommendations for cost optimization, security, and compliance, along with deeper integrations with more DevOps and ITSM tools. As an example, I would like to see deeper integrations with tools such as Jira, ServiceNow, GitHub, Azure DevOps, and Slack. It would be useful if Cloud8 Platform could automate ticket creation and remediation workflows when it detects compliance or configuration issues. Additionally, expanding APIs and providing more out-of-the-box automation templates would make it easier to integrate Cloud8 Platform into existing DevOps workflows and reduce manual effort.

Quotes from Members

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

Pros

"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."
"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."
"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."
"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 positively impacted our organization by leading the migration of a very high number of pre-production environments from VMs to Kubernetes."
"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."
"Overall, CAST AI has been a valuable addition to our Kubernetes platform operations."
"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."
"Cloud8 delivered real savings of 16.5% within 45 days, with zero downtime, and supported an architecture redesign."
"Overall, these features help our team work more efficiently and maintain a reliable cloud environment."
 

Cons

"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 reason I did not give it a perfect score is that I would still prefer to see more advanced cost reporting and workload-level analytics."
"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."
"The limitations of CAST AI include reporting and customization options."
"CAST AI can be improved by managing the role-based access control better."
"I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies in CAST AI."
"I would like to see integration with Datadog for billing and cost analytics."
"Cloud8 Platform does not have a lot of improvement areas, but I have a positive experience with it, and one area of improvement would be to provide more customizable dashboards and reporting options so teams can tailor the platform to their specific operational needs."
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909,153 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Outsourcing Company
25%
Energy/Utilities Company
12%
Construction Company
9%
Educational Organization
8%
Construction Company
46%
Comms Service Provider
17%
Healthcare Company
11%
Transportation Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise3
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?
CAST AI provides 80% to 85% accuracy. Because it is an AI system, sometimes it can make mistakes, but providing 80% to 85% accuracy is a pretty good number for any normal tool. It is good.
What needs improvement with CAST AI?
I would like to see CAST AI improved with deeper and more intelligent answers and solutions, along with additional optimization and customization options. The customization option in particular cou...
What is your primary use case for CAST AI?
My primary use case for CAST AI is Kubernetes cost efficiency, and since I handle the cloud system as well, CAST AI has been instrumental in helping me. We mainly use it to automate processes in AW...
What needs improvement with Cloud8 Platform?
Cloud8 Platform does not have a lot of improvement areas, but I have a positive experience with it, and one area of improvement would be to provide more customizable dashboards and reporting option...
What is your primary use case for Cloud8 Platform?
My use cases of Cloud8 Platform would be cloud infrastructure management and governance. I use it mainly to provision and manage cloud resources, monitor infrastructure health, track costs, and ens...
 

Comparisons

No data available
 

Overview

Find out what your peers are saying about CAST AI vs. Cloud8 Platform and other solutions. Updated: July 2026.
909,153 professionals have used our research since 2012.