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CAST AI vs Hyperglance comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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 saw up to 30% cost reduction and boosted efficiency, enabling faster decision-making and better resource management.
Sentiment score
5.3
Hyperglance enhanced cost savings and operational efficiency by optimizing cloud resources, improving time management, and reducing staffing needs.
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
Troubleshooting time has improved noticeably because engineers can trace dependencies and visualize architecture much faster instead of manually piecing information together from native cloud consoles.
Assistant Engineer at Wipro Limited
I have seen a return on investment with Hyperglance, as time was saved by 79% and money was saved by 22%.
Founding Member at Flash AI
We have achieved approximately twenty percent cost reduction due to the shutdown of idle servers.
ML Engineer at a energy/utilities company with 51-200 employees
 

Customer Service

Sentiment score
8.0
CAST AI's customer service is praised for responsiveness, technical expertise, and effective support, with solid governance and security controls.
Sentiment score
6.4
Hyperglance's customer service is praised for its proactive, effective, and responsive support, highly regarded even when unused.
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
Customer support for Hyperglance is proactive and helps us to achieve everything.
Data Science at Areksoft Technologies
The agent was professional and prompt, solving our problem within 25 minutes.
Founding Member at Flash AI
Customer support is excellent as they are always available to help and provide quality support.
Associate System Engineer at Dhanyaayai enterprise private limited
 

Scalability Issues

Sentiment score
7.3
CAST AI efficiently scales Kubernetes environments automatically, ensuring stability and performance without user intervention during growth in complexity.
Sentiment score
4.9
Hyperglance efficiently manages scalable infrastructures, supporting growth and diverse users, with strong pricing and flexible licensing models.
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
As our project size grows, Hyperglance: Up to 5000 Resources [Pay as you go] helps us to keep them under control from a financial perspective.
Data Science at Areksoft Technologies
The scalability of Hyperglance is definitely good, as it allows you to add resources—2,000, 3,000, 5,000, 10,000—depending on the licensing and billing model we use.
Founding Member at Flash AI
Some users report that it has a lag and slow loading time when visualizing a large resource count.
Solution Architect at Dhanyaayai enterprise private limited
 

Stability Issues

Sentiment score
8.9
CAST AI is reliable and stable, performing well in Kubernetes environments with practical optimization and consistent production performance.
Sentiment score
7.8
Hyperglance users are satisfied, praising its stable performance with no downtime, challenges, or bugs, indicating reliability.
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
Hyperglance is definitely stable, and we have not faced any kind of downtime, challenges, or bugs.
Founding Member at Flash AI
 

Room For Improvement

CAST AI requires better docs, UI improvements, reporting, customization, integrations, cost insights, forecasting, and workload analytics, with pricing considerations.
Hyperglance improvements should focus on performance, customization, integration, automation, UI complexity, onboarding, access controls, and cost for scalability.
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.
Customizable dashboards and reporting are needed because teams have different priorities, such as security versus cost versus uptime, and want dashboards tailored to them.
Senior System Engineer at a tech vendor with 10,001+ employees
Simplifying the learning process would help teams adopt the platform faster and maximize its value sooner.
Associate Systems Engineer at Dhanyaayai Enterprises Pvt Ltd
The current limitations in Hyperglance: Up to 5000 Resources [Pay as you go] are heavily focused on cloud environments and may not offer the same visibility in hybrid infrastructure.
Data Science at Areksoft Technologies
 

Setup Cost

CAST AI receives positive feedback for competitive, usage-based pricing and efficient onboarding, beneficial for larger Kubernetes environments.
Hyperglance offers fair pricing with a flexible pay-as-you-go model, benefiting enterprise users with good ROI and smooth licensing.
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
Often the ROI from visibility, security posture, and cost insight outweighs raw licensing costs.
Senior System Engineer at a tech vendor with 10,001+ employees
Since the cost increases with resource count, it helps to understand how many resources you will be monitoring and whether you will need to scale soon.
Data Analyst at a tech vendor with 11-50 employees
The subscription fee for Hyperglance: Up to 5000 Resources [Pay as you go] was around $180 to $200.
Data Science at Areksoft Technologies
 

Valuable Features

CAST AI optimizes Kubernetes, automates provisioning, and enhances efficiency with intelligent scaling and cost recommendations for better resource management.
Hyperglance optimizes cloud management with real-time mapping, compliance checks, and automation, enhancing efficiency, security, and cost-effectiveness.
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
Hyperglance: Up to 5000 Resources [Pay as you go] provided a visual representation of our cloud resources and usage, showing which EC2 instances were underutilized or overprovisioned.
Data Science at Areksoft Technologies
Hyperglance has positively impacted our organization by helping us with agentless and self-hosted deployments, which has saved 38% time for deployments that we used to do manually.
Founding Member at Flash AI
The cost insights are also very useful for spotting underutilized resources and optimizing spending, which has helped us manage our cloud budget more effectively.
Data Analyst at a tech vendor 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
8
Ranking in other categories
No ranking in other categories
Hyperglance
Ranking in Cloud Cost Management
9th
Average Rating
8.8
Reviews Sentiment
5.6
Number of Reviews
11
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 Hyperglance is 0.9%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
Hyperglance0.9%
CAST AI1.6%
Other97.5%
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.
Raj kuruhuri  - PeerSpot reviewer
Founding Member at Flash AI
Cloud governance has improved and teams optimize costs with automated real-time visibility
Hyperglance features help in codeless automation, which means we can fix common issues and optimize resources without doing any coding. Hyperglance has positively impacted our organization by helping us with agentless and self-hosted deployments, which has saved 38% time for deployments that we used to do manually. The automated process has saved us time and money as we cut resources. In the metrics we have tracked, we have saved 22% in costs. The time and cost savings from Hyperglance have allowed our team to focus on other projects and improved our workflow. Hyperglance has helped us save on cost, improve efficiency, and reduce manual work while enabling real-time compliance checks with very good features. We have saved a lot of time and resources by reducing the manual work which the new team needs to do. Now the team is occupied in other work and they are more productive, providing us more user stories in the organization.
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Top Industries

By visitors reading reviews
Energy/Utilities Company
15%
Financial Services Firm
12%
Educational Organization
11%
Media Company
9%
Construction Company
28%
Insurance Company
24%
Energy/Utilities Company
10%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise2
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise6
 

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 Hyperglance?
The cost was pretty steep, and we were not initially very certain about taking Hyperglance due to its price. However, it is a very powerful tool, and I have not been the one handling the pricing an...
What needs improvement with Hyperglance?
Hyperglance can be improved by providing a less steep learning curve. The UI is powerful, but it is complex for beginners. I faced issues initially, and the initial setup takes time. The initial se...
What is your primary use case for Hyperglance?
I use Hyperglance my organization for real-time cloud visualization and managing FinOps applications. In real-time cloud visualization, we use the interactive diagrams for full infrastructure inclu...
 

Comparisons

 

Also Known As

No data available
Hyperglance: Up to 1000 Resources
 

Overview

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