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CAST AI vs CloudBolt 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:
 

ROI

Sentiment score
7.4
Organizations saved 20-40% on cloud costs with CAST AI, enhancing efficiency and reallocating funds to high-priority tasks.
Sentiment score
6.7
Organizations saw significant ROI with CloudBolt, reducing costs and provisioning time while increasing efficiency and automation.
I have seen a return on investment, and the ROI was visible within a few months through cloud cost reduction alone.
DevOps Engineer at Veefin Solutions
The ROI was visible within a few months through cloud cost reduction alone.
Siem Engineer at a tech services company with 11-50 employees
CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills.
Sr.Devops engineer at Scaler
 

Customer Service

Sentiment score
8.1
CAST AI's customer service is praised for responsiveness, expertise, effective guidance, and high satisfaction in Kubernetes environments.
Sentiment score
6.7
CloudBolt delivers responsive customer service with quick issue resolution, timely support, and integrates customer feedback into product updates.
I would rate the customer support 10 out of 10.
DevOps Engineer at Veefin
The governance and security of CAST AI are solid, providing sufficient visibility into cluster changes and optimization actions.
DevOps Engineer at Veefin Solutions Ltd.
Response times are reasonable and the team is knowledgeable.
DevOps Engineer at Veefin Solutions
We have a weekly sync-up call to get a new feature request or if we have any questions regarding it.
Infrastructure Engineering Senior Advisor at a healthcare company with 10,001+ employees
 

Scalability Issues

Sentiment score
6.8
CAST AI offers robust scalability, efficiently managing dynamic Kubernetes environments and workloads without performance bottlenecks, ensuring automatic adaptability.
Sentiment score
5.9
CloudBolt is highly scalable, efficiently managing thousands of VMs, though users desire improved blueprint guidelines and note configuration challenges.
It is a SaaS platform that will scale automatically.
DevOps Engineer at Veefin
CAST AI's scalability is very good; it scales effectively with cluster growth and increasing workload complexity.
DevOps Engineer at Veefin Solutions
It scales effectively with cluster growth and increasing workload complexity.
Siem Engineer at a tech services company with 11-50 employees
 

Stability Issues

Sentiment score
9.0
CAST AI reliably excels in Kubernetes environments, with no downtime, effectively implementing user-approved optimization suggestions consistently.
Sentiment score
7.9
CloudBolt is stable with occasional issues; users report high satisfaction and improved stability when following deployment guidelines.
In most cases, the optimization suggestions are practical and effective.
DevOps Engineer at Veefin Solutions Ltd.
CAST AI has proven to be stable and reliable in production environments.
DevOps Engineer at Veefin Solutions
 

Room For Improvement

CAST AI needs improvements in documentation, interface, customization, reporting, cost insights, automation, governance, and cloud integration for Kubernetes.
CloudBolt requires improved cost optimization, intuitive design, expanded integrations, and enhancements in SaaS management, provisioning, and reporting features.
There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing.
Sr.Devops engineer at Scaler
More detailed documentation and deeper visibility into certain optimization decisions would also be helpful.
DevOps Engineer at Veefin
To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies.
DevOps Engineer at Veefin Solutions Ltd.
To improve CloudBolt, I believe the user experience needs enhancement as some users find it somewhat dated compared to newer cloud management platforms.
Sr PreSales Cloud Architect at a outsourcing company with 10,001+ employees
CloudBolt can be improved. It needs way more customizations when it comes to provisioning itself.
IT Systems Engineer at a manufacturing company with 10,001+ employees
If that can be integrated and all the workflows can be managed and customized using the MCP agent, that would be a really good feature to add.
Infrastructure Engineering Senior Advisor at a healthcare company with 10,001+ employees
 

Setup Cost

Enterprise users commend CAST AI for its cost-effective, usage-based pricing, enhancing savings and operational efficiency for large Kubernetes environments.
CloudBolt offers competitive, flexible pricing with bulk discounts, averaging $200 monthly on AWS and $100 on-premises.
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.
DevOps Engineer at Veefin
I have not found the price to be too high for the features it provides.
Cloud Architect at a tech vendor with 10,001+ employees
Pricing was reasonable considering the cost savings achieved
DevOps Engineer at Veefin Solutions
 

Valuable Features

CAST AI optimizes Kubernetes with automated scaling, cost efficiency, resource management, and recommendations, enhancing performance and reducing expenses.
CloudBolt provides efficient multi-cloud management, customization, and automation with strong integration and self-service features for enhanced flexibility and control.
CAST AI has had a positive impact on my organization through cost reduction. On average, I think the savings are between 15 and 20 percent, and for certain workloads, these savings can be even higher.
Cloud Architect at a tech vendor with 10,001+ employees
CAST AI has positively impacted our organization by reducing cloud costs, improving resource utilization, and allowing our engineering team to spend less time managing infrastructure and more time on platform improvements.
DevOps Engineer at Veefin Solutions
With CAST AI, nodes are added or removed automatically as workloads change, helping us maintain application performance while reducing unnecessary cloud costs.
Siem Engineer at a tech services company with 11-50 employees
From an integration standpoint, CloudBolt works well with various public and private cloud providers, including AWS, Azure, GCP, VMware, and Nutanix, as well as different virtualization software, infrastructure as code templates such as Ansible and Terraform, ITSM tools such as ServiceNow, and CMDB platforms.
Sr PreSales Cloud Architect at a outsourcing company with 10,001+ employees
The best features CloudBolt offers are its speed, which is very fast in terms of provisioning compared to traditional ISO-based methods.
IT Systems Engineer at a manufacturing company with 10,001+ employees
We are able to do a lot of customization in CloudBolt specific to our use case.
Infrastructure Engineering Senior Advisor at a healthcare company with 10,001+ employees
 

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
CloudBolt
Ranking in Cloud Cost Management
36th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
11
Ranking in other categories
Cloud Management (26th)
 

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 CloudBolt is 1.4%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
CAST AI1.9%
CloudBolt1.4%
Other96.7%
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.
AbhishekGupta2 - PeerSpot reviewer
Sr PreSales Cloud Architect at a outsourcing company with 10,001+ employees
Centralized self-service has unified hybrid clouds and has improved governance and cost control
The best features CloudBolt offers include governance and policy control, allowing security teams to set up their specific guardrails with governance at scale. Multi or hybrid cloud abstraction provides a single pane of glass for different types of environments, and self-service catalogs enable technical or business users to request services without multiple tickets. CloudBolt also offers strong integration capabilities that work well with existing tools without disrupting the current environment. From an integration standpoint, CloudBolt works well with various public and private cloud providers, including AWS, Azure, GCP, VMware, and Nutanix, as well as different virtualization software, infrastructure as code templates such as Ansible and Terraform, ITSM tools such as ServiceNow, and CMDB platforms. CloudBolt has positively impacted my organization by managing multiple cloud environments for thousands of users with a complex enterprise workflow that has helped reduce man-hours required for provisioning resources. We have achieved faster delivery through standardized operating procedures and reduced reworks due to automation. The chargeback and showback mechanisms allow us to charge different business units according to their consumption, providing better governance, lower risk, and lower cost, resulting in a good return on investment. Since using CloudBolt, I have seen a 25 to 30 percent reduction in service delivery time and an improvement in efficiency of almost 20 to 25 percent within a timeframe of approximately 8 to 10 months.
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Top Industries

By visitors reading reviews
Outsourcing Company
26%
Energy/Utilities Company
12%
Construction Company
9%
Educational Organization
8%
Outsourcing Company
12%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise3
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?
My experience with pricing, setup cost, and licensing was that the proposal they shared with us included an ongoing monthly cost. There was a one-time setup cost as well, but all that we spent with...
What needs improvement with CAST AI?
CAST AI can be improved by managing the role-based access control better. I think it would be better for CAST AI to improve how access permissions are handled for developers. That would be a benefi...
What is your primary use case for CAST AI?
My main use case was to migrate development and staging environments to Kubernetes using CAST AI, and with them, we created these environments. We moved them from virtual machines to Kubernetes clu...
What needs improvement with CloudBolt?
We are doing a lot of customization. For example, if I want to do a custom scheme or if I want to do a static IP, these kinds of flows I still need to do very manually or through a script, so it wo...
What is your primary use case for CloudBolt?
My main use case for CloudBolt is provisioning servers. We have a VM environment, so we would use a CloudBolt template and then map it to CloudBolt environment and provision the server for our prod...
What advice do you have for others considering CloudBolt?
My advice for others looking into using CloudBolt is that if you are a server admin, it is very useful. I would advise you that CloudBolt will be very useful for your needs.
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
WM, CyWest, Panic, Camden, University of Maryland, Xerox, Neustar, Medidata, Continu, Aruba Networks, Neuberger Berman, Peak6, EverBank, Ascensus, Hosting Edge
Find out what your peers are saying about CAST AI vs. CloudBolt and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.