

Find out in this report how the two Cloud Cost Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment, and the ROI was visible within a few months through cloud cost reduction alone.
The ROI was visible within a few months through cloud cost reduction alone.
CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills.
I would rate the customer support 10 out of 10.
The governance and security of CAST AI are solid, providing sufficient visibility into cluster changes and optimization actions.
Response times are reasonable and the team is knowledgeable.
We have a weekly sync-up call to get a new feature request or if we have any questions regarding it.
It is a SaaS platform that will scale automatically.
CAST AI's scalability is very good; it scales effectively with cluster growth and increasing workload complexity.
It scales effectively with cluster growth and increasing workload complexity.
In most cases, the optimization suggestions are practical and effective.
CAST AI has proven to be stable and reliable in production environments.
There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing.
More detailed documentation and deeper visibility into certain optimization decisions would also be helpful.
To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies.
To improve CloudBolt, I believe the user experience needs enhancement as some users find it somewhat dated compared to newer cloud management platforms.
CloudBolt can be improved. It needs way more customizations when it comes to provisioning itself.
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.
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.
I have not found the price to be too high for the features it provides.
Pricing was reasonable considering the cost savings achieved
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.
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.
With CAST AI, nodes are added or removed automatically as workloads change, helping us maintain application performance while reducing unnecessary cloud costs.
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.
The best features CloudBolt offers are its speed, which is very fast in terms of provisioning compared to traditional ISO-based methods.
We are able to do a lot of customization in CloudBolt specific to our use case.
| Product | Mindshare (%) |
|---|---|
| CAST AI | 1.9% |
| CloudBolt | 1.4% |
| Other | 96.7% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
CAST AI is revered for its powerful cloud optimization capabilities, notably in cost reduction, performance enhancement, and security strengthening. It automates resource management and scales operations efficiently, leading to significant organizational improvements in efficiency, cost savings, and smoother cloud integration and management.
CloudBolt provides ease of use, flexibility, and expandability through custom scripts and integration with platforms like AWS and Azure. It offers governance, deployment, and resource control, along with a self-service catalog and role-based access control, enhancing automated efficiency.
CloudBolt stands out for its automation, integration capabilities, and cost management while improving efficiency, reducing service delivery times, and offering dashboard flexibility. It utilizes predefined hooks and customization to optimize processes. Self-service options boost user autonomy in hybrid and multi-cloud environments, supporting policy-driven governance and infrastructure automation for ITSM platforms. Users employ it for cost visibility, role-based access control, and template creation, benefiting financial and government sectors.
What features make CloudBolt stand out?In industries like finance and government, CloudBolt facilitates centralized provisioning and orchestration across AWS, Azure, and GCP. Users leverage its policy-driven governance and role-based access control to optimize cost and automate substantial IaaS infrastructure, supporting scheduling and blueprint templates for efficiency.
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