CAST AI vs Cloudability comparison

CAST AI and Apptio are both solutions in the Cloud Cost Management category. CAST AI is ranked #31, while Apptio is ranked #3 with an average rating of 7.8. CAST AI holds a 1.8% mindshare in CCM, compared to Apptio’s 8.7% mindshare. Additionally, 100% of CAST AI users are willing to recommend the solution, compared to 77% of Apptio users who would recommend it.

CAST AI

Read 1 CAST AI review

252 Views
252 Comparison Views

100% willing to recommend

Cloudability

Read 16 Cloudability reviews

1,640 Views
1,591 Comparison Views

77% willing to recommend

CAST AI

Cloudability

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Executive Summary

We performed a comparison between CAST AI and Cloudability based on real PeerSpot user reviews.

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To learn more, read our detailed Cloud Cost Management Report (Updated: December 2025).

Buyer's Guide

Cloud Cost Management

December 2025

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Helped 879,310 peers since 2012

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

31st

Average Rating

8.0

Reviews Sentiment

9.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Cloudability

Ranking in Cloud Cost Management

3rd

Average Rating

7.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2025, in the Cloud Cost Management category, the mindshare of CAST AI is 1.8%, up from 1.5% compared to the previous year. The mindshare of Cloudability is 8.7%, down from 12.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Cost Management Market Share Distribution
Product	Market Share (%)
Cloudability	8.7%
CAST AI	1.8%
Other	89.5%

Cloud Cost Management

Featured Reviews

RahulArora

Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees

Automation has optimized Kubernetes costs and right-sizing cuts manual cluster work

CAST AI helps us with automated node provisioning, workload right-sizing, intelligent auto-scaling, and overall cost visibility of the containerized systems that we have on the cloud. The best features CAST AI offers are the Kubernetes auto-scaling mechanism, continuous analysis of the pod-level CPU and memory usage, and ensuring that workload right-sizing is being done and our nodes are not over-provisioned. Identifying inaccuracies in the resource request is what we find quite useful with CAST AI. It definitely saves time and money as well, along with peace of mind because CAST AI continuously analyzes the pod-level CPU and memory usages. This helps us to optimize the request and the limits adjustments on our usage pattern, and overall, right-sizing improves the packing and reduces the wasted compute that we have in the cloud. In terms of overall impact on the organization, CAST AI has definitely helped us optimize our Kubernetes resources and given us automation capabilities. It is definitely helping us reduce the manpower and overall compute which is wasted. We can definitely save these using CAST AI. We will be notified upfront and proactively about any wastages that are happening, or any cost leakages that are happening in our system.

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reviewer2784351

Digital Marketing, Marketing Technology & Analytics Architect at a manufacturing company with 10,001+ employees

Gained clear cost visibility and forecasting but still needs finer insights using resource tags

Cloudability offers excellent features including trends, graphs for cost utilization, and forecasting capabilities. The forecasting feature has helped me understand how the resources are utilized and how the cost is burned, and then I use it to make changes to keep the cost in control. Cloudability has positively impacted my organization as it helps us understand cost utilization, make corrections, and understand the forecasting of the cost. It has made reporting much easier.

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Quotes from Members

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

Pros

"We observed a 20 to 30% reduction in Kubernetes infrastructure cost, node utilization is improved, and we could see a 60 to 70% reduction in our manual cluster optimization efforts that we used to put initially."

"The support from IBM is fantastic"

"We use the product to get a detailed level of transparency on the cloud strengths."

"Transparency and visibility are the key features."

"The most valuable feature of the solution is its ability to create reports and dashboards."

"Cloudability has positively impacted my organization as it helps us understand cost utilization, make corrections, and understand the forecasting of the cost."

"Each user can have their own dashboard that they want to consume. Instead of having to share one dashboard for multiple users, you can create individual views for each user to view, and that view will contain only their own accounts, which allows for separation of data."

"The pricing isn't too expensive."

"All the tagging and mapping, which helps to create some virtual tags are useful features."

More Cloudability pros

Cons

"The documentation of CAST AI can definitely be improved for first-time users."

"Cloudability needs to focus on more cloud providers."

"I would improve the integration, or the preparation of the integration, for a complex environment."

"I wish there was a feature to temporarily remove certain recommendations from the list for teams that couldn't implement them immediately. I believe Cloudability could improve its automation functionality and enhance cost allocation modeling."

"Right now, what we're doing is we are manually putting the data in it, which is something which we don't like about Cloudability."

"They can improve the custom range of the network."

"In general, I feel Cloudability wasn't able to support many resources."

"The dashboard needs to include more graphs per team to show what individual teams are spending in a given time period."

"We would like them to have a linear regression, so we can be predictive for budgets, allocations, and the year's follow ups. We also want to have a longer window of analytics with better certainty that our workload will fit the model, not just in a two week window."

More Cloudability cons

Pricing and Cost Advice

Information not available

"It justifies the cost and is worth it."

"We have seen ROI with the reserved instances, and having the ability to predict what reserved instances you can get. We can save tens of thousands of dollars, and hundreds of thousands of dollars in some cases."

"Cloudability is a bit expensive."

"My team is one of the most expensive teams, and we look at it quite a bit. We have probably easily saved around $400,000 USD a year."

"The price of the license or the usage is a percentage of the top consumption. So it varies from year to year."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

23%

Computer Software Company

11%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	12

Questions from the Community

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What do you like most about Cloudability?

The most crucial feature in reducing my cloud costs has been the rightsizing recommendations, along with the dashboards that track reserved instance spending coverage and utilization. As for Clouda...

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What is your experience regarding pricing and costs for Cloudability?

My experience with pricing, setup cost, and licensing was adequate, but it could be made better.

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What needs improvement with Cloudability?

It would be beneficial if we could use resource tags to provide more fine-grained visibility.

See all answers

Comparisons

IBM Turbonomic vs CAST AI

Compared 32% of the time

Turbo360 (Formerly Serverless360) vs CAST AI

Compared 30% of the time

Spot vs CAST AI

Compared 22% of the time

VMWare Tanzu CloudHealth vs CAST AI

Compared 16% of the time

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Apptio One vs Cloudability

Compared 23% of the time

IBM Turbonomic vs Cloudability

Compared 8% of the time

VMWare Tanzu CloudHealth vs Cloudability

Compared 8% of the time

Harness vs Cloudability

Compared 8% of the time

Azure Cost Management vs Cloudability

Compared 7% of the time

More Cloudability Competitors

Product Reports

Buyer's Guide

Cloud Cost Management

December 2025

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Buyer's Guide

Cloudability

December 2025

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Overview

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.

CAST AI

Cloudability is a financial management tool for monitoring and analyzing every cloud expense across any organization. It brings transparency to how and where organizations spend money on cloud resources, giving them the power to reap the most value from cloud usage possible. It aggregates expenditures into accessible and comprehensive reports, helps identify new opportunities for reducing spend and increasing cloud efficiency, offers budget alerts and recommendations via SMS and email, provides APIs for connecting cloud billing and usage data to any business or financial system, and more.

Apptio

Sample Customers

Information Not Available

Adobe, Uber, Pega, imgur, Pixable, Blackboard, Keboola, Avalara

Buyer's Guide

Cloud Cost Management

December 2025

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Find out what your peers are saying about IBM, Nutanix, Apptio and others in Cloud Cost Management. Updated: December 2025.

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