

IBM Turbonomic and Ivanti Autonomous Endpoint Management are two leading solutions in the IT operations optimization category. Turbonomic appears to have the upper hand due to its comprehensive automation features that deliver quicker financial gains through enhanced resource optimization and performance management.
Features: IBM Turbonomic offers dynamic optimization through the automation of VM placement, capacity management, forecasting, and right-sizing, ensuring seamless performance and reduced resource wastage. Ivanti excels in real-time endpoint visibility, centralized dashboard management, and robust automation capabilities, aiding in efficient patch compliance and reducing manual work.
Room for Improvement: IBM Turbonomic users seek UI modernization and fewer false positives in automated recommendations to facilitate easier navigation. Ivanti users note the need for a more intuitive dashboard and UI design, as well as improved visibility of organizational structures and enhanced AI-driven recommendations for a better user experience.
Ease of Deployment and Customer Service: Both IBM Turbonomic and Ivanti offer on-premises deployment options, yet Turbonomic is more widely implemented across cloud environments. Turbonomic's customer service is often highlighted for its responsiveness and technical expertise, while Ivanti's support is proactive, despite some reports of slower response times compared to Turbonomic's consistent engagement.
Pricing and ROI: Turbonomic users report a clear ROI, typically recouping investment costs within a year due to its innovative automation and workload management, albeit its hefty price tag. Ivanti's pricing is seen as moderate to high, justified by its endpoint management efficiency. The ROI with Ivanti is evident in reduced manual tasks and improved productivity, though Turbonomic is perceived as offering faster financial savings.
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.
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.
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.
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.
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.
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.
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 | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.
IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.
What are the key features of IBM Turbonomic?IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.
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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