

Harness and Ivanti Autonomous Endpoint Management compete in the DevOps and endpoint management sectors respectively. Harness appears to have the upper hand in CI/CD automation and scalability, while Ivanti stands out with endpoint visibility and integration capabilities.
Features: Harness offers CI/CD pipeline automation, flexible deployment strategies, and integration with cloud-native environments. It uses AI to enhance deployment speed and reliability, integrates with third-party applications like Terraform, and streamlines DevOps workflows. Ivanti provides real-time endpoint visibility, centralized management, and AI-powered automation for device compliance and patch management, enhancing IT and security operation integration.
Room for Improvement: Harness users face initial setup complexity and pricing constraints, suggesting a need for improved onboarding, UI simplification, and documentation. Ivanti users report dashboard complexity and navigation difficulties, with a desire for enhanced task automation and clearer insights. Both need UI refinements for easier use by inexperienced users.
Ease of Deployment and Customer Service: Harness supports various deployment models, requiring careful setup, and benefits from strong customer support. Ivanti integrates well into cloud environments but also faces setup complexities, with well-regarded customer service but needing improved navigation and organizational views for better usability.
Pricing and ROI: Harness has a higher cost but offers efficiency gains and reduced deployment times. Its AI reduces manual work, making it suitable for enterprises with an enhanced ROI. Ivanti's costs vary based on enterprise size, offering ROI through reduced manual processes and efficient patch management. Both platforms deliver strong ROI, catering to different operational needs.
The AI features that they have and with which we can rewrite the pipeline and troubleshoot issues significantly saved time.
By adopting templates and various different pipelines across our own IDP platform, we have saved upwards of 30 to 40% of development time.
With Harness, the release process decreased from three or four hours to one or two hours, making deployments much quicker.
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 rarely faced issues with Harness tech support.
We have not faced any customer support issues, with tickets resolved in less than a four-day SLA.
There was an instance when I faced issues with third-party plugins, and after raising a support ticket, they responded in a few hours with a documentation link that resolved my issue.
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.
Our entire organization uses it with hundreds of applications, and it supports this scale effectively.
It is able to work on our infrastructure side, which is EKS, and we are able to handle our organization growth effectively for an enterprise use case.
When I integrated Harness to more than 20 applications in one place, it becomes less stable.
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.
Harness is completely stable, and we are using it in production without facing any stability issues at all.
We have rarely faced issues with Harness tech support.
Harness is decently stable.
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.
There is not a lot of good support for pipeline as code, and I often find myself not using pipeline as code the way other platforms such as GitHub Actions or Jenkins integrate pipeline as code.
Improved documentation and onboarding tutorials would help accelerate adoption.
Harness can be improved by providing more clarity on the credits it issues for Harness Cloud, as it has a tiered pricing structure involving license and credit costs, which can get confusing.
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.
From what I understand with respect to Harness, licensing and setup costs were relatively low for an enterprise, and the pricing was more catered toward enterprises who would invest in the technology.
The licensing cost is a little bit too high.
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.
Harness uses AI to suggest errors in case of deployment failures.
The platform also supports cloud-native environments and Kubernetes deployments, making pipeline management easier, and its automation capabilities significantly improve speed and reliability.
If something goes wrong, I can use AI troubleshooting to build or test my fails and analyze the logs, suggesting the fixes.
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 | 10 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
Harness offers a comprehensive toolset for automating deployment processes and enhancing software update efficiency. It's lauded for its CI/CD capabilities, feature flagging, and real-time deployment monitoring. Key features include an intuitive UI, secret management, and robust rollback functionalities, all contributing to improved productivity and reduced errors in DevOps 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.
We monitor all Cloud Cost Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.