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CAST AI vs Google Cloud Billing 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
19th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Google Cloud Billing
Ranking in Cloud Cost Management
36th
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

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 Google Cloud Billing is 1.9%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
CAST AI1.6%
Google Cloud Billing1.9%
Other96.5%
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.
PradeepKumar3 - PeerSpot reviewer
Director Technology Solutions at Redintegro Consulting Solution LLP
Simple to set up with helpful for cost management and good reliability
The only issue I faced was a while ago. My card was debited, or rather it was showing as debited when in actuality, it did not debit my card. After six months, they came back with back billing. Somebody should have verified the billing and immediately informed us. So yeah, However, six months is too late to identify such fault sightings. When I want to analyze the information, it would be better, since Google knows what I have used, to only show those items for analysis purposes. Especially when I look at a previous month's billing or usage across services. It's better to show the services which are used, not everything.

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."
"We have achieved approximately 30% to 40% reduction in Kubernetes infrastructure cost with CAST AI, and we also reduced manual cluster management activities significantly, especially around node scaling and capacity planning."
"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."
"Overall, CAST AI has been a valuable addition to our Kubernetes platform operations."
"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."
"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."
"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."
"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."
"What I like most about this solution is that it's easy."
"It is a stable product."
"We use Google Cloud Billing to pay for or renew the license of our Google Workspace products."
"We are using Google Cloud instances and Google Cloud Functions, which are great, and we've been using BigQuery, Pub/Sub, and Firebase, making it very helpful for cost management."
 

Cons

"CAST AI could be improved by adding some AI agent capabilities."
"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 limitations of CAST AI include reporting and customization options."
"To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies."
"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 more granular reporting, deeper cost allocation insight, and additional customization options for optimization policies in 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."
"When I want to analyze the information, it would be better, since Google knows what I have used, to only show those items for analysis purposes."
"The billing process is strange. It should be automatic."
"Google Cloud Billing should have a more user-friendly interface."
"At times you will find that the computer engines are freezing or it's about to freeze without any notification or information and it's unable to diagnose where it is hung."
 

Pricing and Cost Advice

Information not available
"The licensing fees are monthly and cost approximately $100.00."
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Top Industries

By visitors reading reviews
Energy/Utilities Company
15%
Financial Services Firm
12%
Educational Organization
11%
Media Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise2
No data available
 

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...
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Overview

Find out what your peers are saying about CAST AI vs. Google Cloud Billing and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.