

CAST AI and Hyperglance compete in cloud cost optimization and management. CAST AI appears to have an advantage with optimized pricing and integration capabilities.
Features: CAST AI offers intelligent automation, advanced cloud cost optimization, and seamless integration with major cloud providers. Hyperglance provides comprehensive visibility, real-time monitoring, and interactive network diagrams.
Ease of Deployment and Customer Service: CAST AI provides intuitive deployment with superior customer support for quick cloud setup. Hyperglance offers comprehensive support requiring more initial setup due to extensive customization.
Pricing and ROI: CAST AI features competitive pricing, rapid ROI, and flexible plans focused on cloud cost savings. Hyperglance has a higher initial setup cost, but promises significant ROI with its detailed analytics and network management.
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.
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.
I have seen a return on investment with Hyperglance, as time was saved by 79% and money was saved by 22%.
We have achieved approximately twenty percent cost reduction due to the shutdown of idle servers.
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.
Customer support for Hyperglance is proactive and helps us to achieve everything.
The agent was professional and prompt, solving our problem within 25 minutes.
Customer support is excellent as they are always available to help and provide quality support.
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.
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.
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.
Some users report that it has a lag and slow loading time when visualizing a large resource count.
In most cases, the optimization suggestions are practical and effective.
CAST AI has proven to be stable and reliable in production environments.
Hyperglance is definitely stable, and we have not faced any kind of downtime, challenges, or bugs.
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.
Customizable dashboards and reporting are needed because teams have different priorities, such as security versus cost versus uptime, and want dashboards tailored to them.
Simplifying the learning process would help teams adopt the platform faster and maximize its value sooner.
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.
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
Often the ROI from visibility, security posture, and cost insight outweighs raw licensing costs.
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.
The subscription fee for Hyperglance: Up to 5000 Resources [Pay as you go] was around $180 to $200.
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.
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.
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 cost insights are also very useful for spotting underutilized resources and optimizing spending, which has helped us manage our cloud budget more effectively.
| Product | Mindshare (%) |
|---|---|
| Hyperglance | 0.9% |
| CAST AI | 1.6% |
| Other | 97.5% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
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.
Hyperglance offers a comprehensive approach to managing multi-cloud environments, emphasizing cost optimization, resource visualization, and automation that enhance productivity and efficiency.
Hyperglance is known for its ability to visualize and optimize multi-cloud infrastructures. It effectively manages cloud costs by delivering real-time spending insights and reduction opportunities, enhancing security compliance, and unifying resource management across platforms to prevent vendor lock-in. Users appreciate its capabilities for tracking costs, visualizing environments, and streamlining cloud expense optimization.
What key features does Hyperglance offer?In specific industries, Hyperglance supports organizations in maintaining efficiency across complex cloud systems. Its real-time mapping and insightful recommendations are particularly valuable in sectors with dynamic resource needs, such as finance and healthcare, where cost control and compliance are critical. The platform's ability to deliver actionable insights ensures these sectors can manage their multi-cloud environments effectively, enhancing both performance and security standards across their operations.
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