

CloudBolt and Ivanti compete in cloud management and endpoint management categories, respectively. CloudBolt has the upper hand in multi-cloud automation, while Ivanti focuses on AI-driven endpoint management.
Features: CloudBolt offers comprehensive governance and policy control, seamless integration with cloud providers like AWS and Azure, and automated lifecycle management. Ivanti features AI-powered automation, real-time endpoint visibility, and a unified management platform for enhanced security and administration.
Room for Improvement: CloudBolt could enhance its MCP feature and expand marketplace integrations. Ivanti could improve its complex UI for new users and enhance reporting features for better organizational insights.
Ease of Deployment and Customer Service: CloudBolt receives praise for swift deployment across environments and responsive customer service. Ivanti also offers wide deployment capabilities but with potential complexity for newcomers, with effective support yet needing more transparency.
Pricing and ROI: CloudBolt's pricing, though expensive, is offset by a high ROI through automation and infrastructure cost savings. Ivanti's pricing is mid to high-range, with ROI dependent on managed endpoints, offering strong endpoint management capabilities.
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.
We have a weekly sync-up call to get a new feature request or if we have any questions regarding it.
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.
To improve CloudBolt, I believe the user experience needs enhancement as some users find it somewhat dated compared to newer cloud management platforms.
CloudBolt can be improved. It needs way more customizations when it comes to provisioning itself.
If that can be integrated and all the workflows can be managed and customized using the MCP agent, that would be a really good feature to add.
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.
From an integration standpoint, CloudBolt works well with various public and private cloud providers, including AWS, Azure, GCP, VMware, and Nutanix, as well as different virtualization software, infrastructure as code templates such as Ansible and Terraform, ITSM tools such as ServiceNow, and CMDB platforms.
The best features CloudBolt offers are its speed, which is very fast in terms of provisioning compared to traditional ISO-based methods.
We are able to do a lot of customization in CloudBolt specific to our use case.
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 | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
CloudBolt provides ease of use, flexibility, and expandability through custom scripts and integration with platforms like AWS and Azure. It offers governance, deployment, and resource control, along with a self-service catalog and role-based access control, enhancing automated efficiency.
CloudBolt stands out for its automation, integration capabilities, and cost management while improving efficiency, reducing service delivery times, and offering dashboard flexibility. It utilizes predefined hooks and customization to optimize processes. Self-service options boost user autonomy in hybrid and multi-cloud environments, supporting policy-driven governance and infrastructure automation for ITSM platforms. Users employ it for cost visibility, role-based access control, and template creation, benefiting financial and government sectors.
What features make CloudBolt stand out?In industries like finance and government, CloudBolt facilitates centralized provisioning and orchestration across AWS, Azure, and GCP. Users leverage its policy-driven governance and role-based access control to optimize cost and automate substantial IaaS infrastructure, supporting scheduling and blueprint templates for efficiency.
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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