

Hyperglance and Ivanti Neurons for UEM compete in the cloud visualization and endpoint management category. Hyperglance seems to have the upper hand due to its superior resource mapping and cost insights while Ivanti offers advantages in comprehensive endpoint management and automation.
Features: Hyperglance excels with its visualization and mapping capabilities, valuable for large-scale cloud environments. It aids in cost management and operational efficiency, giving a unified view of cloud resources. Ivanti Neurons for UEM stands out with its automation, patch management, and centralized endpoint visibility which streamlines IT operations, improving productivity.
Room for Improvement: Hyperglance can improve by enhancing performance speed for large environments, offering better reporting customization, and integrating more third-party tools. Ivanti Neurons for UEM could benefit from a more intuitive interface, enhanced ticket workflows, and expanded integrations, while increasing visibility of organizational structures for better AI-driven insights.
Ease of Deployment and Customer Service: Hyperglance supports deployment on Private, Hybrid Cloud, and On-premises, offering flexibility but with a steeper learning curve. Ivanti Neurons for UEM offers versatile support for Public, Private Cloud, and On-premises but needs improvement in navigation ease. Hyperglance is noted for proactive customer support, whereas Ivanti requires additional user training to optimize platform use.
Pricing and ROI: Hyperglance operates a pay-as-you-go pricing model, scalable with resource count, ideal for large enterprises due to cost savings and efficiency gains. Ivanti Neurons for UEM offers moderate pricing aligned with enterprise needs, highlighting its automation benefits in reducing manual tasks. Both products show strong ROI, but the choice depends on focus: cloud management for Hyperglance or endpoint management for Ivanti.
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.
We can remove or add licenses according to business requirements, and it is all controlled within the application.
The client was already paying for Microsoft Intune and was able to decommission Ivanti Neurons for UEM.
Tasks such as patching, software deployment, and troubleshooting that earlier took hours are now done in minutes.
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.
I am concerned about consistently needing to call support for installing brand new solutions.
They are responsive, stick to time, and are enthusiastic about helping.
Occasionally, we also experienced delays between systems, particularly with user group changes and device compliance updates.
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.
I would rate the scalability as nine out of ten.
There is no limitation in scalability; Ivanti Neurons for MDM is very scalable.
As a Microsoft consultant, I think Intune is always going to win over anything else if the client is already paying for an E3 or E5 license.
Hyperglance is definitely stable, and we have not faced any kind of downtime, challenges, or bugs.
We have not seen any downtime.
Regarding the self-healing capabilities, I would say it has reduced downtime by around thirty to forty percent.
It delivers very good UEM capabilities.
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.
It would be helpful if the documentation could easily help us fix bugs on our own.
The test team or the testing procedures are flawed because they release new versions with numerous basic issues.
The history of patching is missing from the solution, making it a challenge.
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.
This is not a cheap solution.
Regarding pricing, I would say Ivanti Neurons for UEM falls at a nine out of ten.
The price for this solution seems to be reasonable for my company.
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.
The most effective feature of Ivanti Neurons for Patch Management is its reactivity when a patch is released before its due date.
It integrates into InTune, which enables us to detect, diagnose, and fix issues without manual intervention.
AI-powered automation and self-healing are additional features that automatically fix common issues and reduce manual work.

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
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.
Ivanti Autonomous Endpoint Management leverages AI-powered automation for comprehensive endpoint control. It offers centralized management, real-time visibility, efficient patch deployment, and supports diverse operating systems.
Ivanti Autonomous Endpoint Management integrates AI-driven automation, providing a unified dashboard for streamlined IT operations. Its features include efficient patch management and real-time device monitoring, enhancing IT security and compliance. While comprehensive, improvements in dashboard simplicity, third-party integration, and AI feature clarity are desired. It serves multiple operating systems for seamless operation across various devices, and while effective, enhancements in UI navigation and reporting are suggested. Companies find it vital for centralized device management, compliance enforcement, and automated IT task handling.
What are the most important features?In industries like finance, education, and healthcare, Ivanti Autonomous Endpoint Management is deployed for managing diverse device environments. It's used for securing sensitive data, ensuring compliance in regulated industries, and optimizing IT service desk operations. Its capabilities aid in provisioning devices and maintaining an up-to-date inventory, crucial for sectors with stringent security requirements.
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