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CAST AI vs IBM Turbonomic 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
7.3
CAST AI users achieved 20%-40% cost savings and enhanced efficiency, leading to rapid ROI and improved operational focus.
Sentiment score
7.2
IBM Turbonomic offers quick ROI by reducing hardware costs, optimizing resources, and decreasing operational expenses through automation and efficiency.
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.
Observability 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
8.0
CAST AI's support is praised for responsiveness, Kubernetes expertise, and effective guidance, though advanced policy controls could improve.
Sentiment score
8.9
IBM Turbonomic's customer service is highly rated for its responsiveness, knowledge, and effectiveness, despite some mixed post-acquisition experiences.
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
 

Scalability Issues

Sentiment score
7.3
CAST AI offers seamless scalability and performance across environments by automating SaaS processes, maintaining stability and efficiency.
Sentiment score
6.9
IBM Turbonomic is scalable, seamlessly integrating with various environments while its licensing supports expansion, focusing on additional requirements.
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.
Observability Engineer at a tech services company with 11-50 employees
 

Stability Issues

Sentiment score
8.9
CAST AI is praised for stability and reliability in Kubernetes, offering practical optimization without needing major change validations.
Sentiment score
7.4
IBM Turbonomic is praised for stability and robust performance, with minor update issues swiftly resolved by support.
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 improved documentation, user interface, reporting, cost insights, customization, integration, and analytics for larger organizations.
IBM Turbonomic needs an improved interface, better reporting, clearer documentation, more integrations, and a stable, mobile-compatible platform.
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.
 

Setup Cost

CAST AI offers usage-based pricing with minimal setup costs, providing transparent, value-driven pricing and licensing for enterprises.
IBM Turbonomic offers flexible, competitive pricing models, providing value through resource optimization and reducing hardware expenses effectively.
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 automation and cost-saving features, reportedly saving organizations 20-30% on cloud expenses.
IBM Turbonomic enhances efficiency through automation, capacity management, reporting, and planning, optimizing resource allocation and infrastructure decisions.
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.
Observability Engineer at a tech services company with 11-50 employees
 

Categories and Ranking

CAST AI
Ranking in Cloud Cost Management
19th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
7
Ranking in other categories
No ranking in other categories
IBM Turbonomic
Ranking in Cloud Cost Management
2nd
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (3rd), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (10th), Cloud Analytics (1st), AIOps (17th)
 

Mindshare comparison

As of July 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.6%, down from 1.9% compared to the previous year. The mindshare of IBM Turbonomic is 5.9%, down from 11.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic5.9%
CAST AI1.6%
Other92.5%
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.
reviewer1446966 - PeerSpot reviewer
Senior Systems Engineer at a university with 1,001-5,000 employees
The solution reduced our operational expenditures and is able to identify points before we even noticed them
The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens. When I change the resolution to 1080, I only see half of what I would on my big 4K monitor. It would be annoying to have to scroll to see the flow chart. They have a flow chart that goes top to bottom like a tree. On a lower resolution, it might be nice if that scrolls horizontally because it's long, narrow, and tall. It's only three icons wide, but it's 15 icons tall. I think it would be helpful to have the ability to change that for a smaller screen and customize the widget.
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Top Industries

By visitors reading reviews
Energy/Utilities Company
16%
Financial Services Firm
12%
Educational Organization
10%
Construction Company
9%
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
9%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise57
Large Enterprise147
 

Questions from the Community

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...
What is your experience regarding pricing and costs for Turbonomic?
It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is set as a percentage of the consumption of some of our customers' services. The ...
What needs improvement with Turbonomic?
The implementation could be enhanced.
What is your primary use case for Turbonomic?
We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...
 

Also Known As

No data available
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Information Not Available
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about CAST AI vs. IBM Turbonomic and other solutions. Updated: June 2026.
904,054 professionals have used our research since 2012.