

IBM Turbonomic and Harness compete in software optimization and application delivery. IBM Turbonomic has an edge in resource management, while Harness leads in integration and deployment.
Features: IBM Turbonomic is outstanding in resource optimization, making it suitable for cloud management and data centers. It focuses on cost efficiency and comprehensive resource control. Harness is notable for its pipeline management and automation, streamlining deployment. It enhances development processes and accelerates software release cycles.
Ease of Deployment and Customer Service: IBM Turbonomic involves a complex setup and a steeper learning curve. It provides thorough customer service, albeit slower. Harness is recognized for easy deployment and intuitive setup, offering responsive customer service for faster troubleshooting and integration.
Pricing and ROI: IBM Turbonomic requires a moderate initial cost with savings through resource optimization and reduced operational costs. Harness, with competitive pricing, offers a possibility for higher immediate return by reducing time-to-market, suiting organizations emphasizing deployment speed and agile approaches.
The biggest ROI comes from faster software delivery and improved engineering productivity.
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 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.
I have not required extensive customer support involvement, as the documentation is well-structured.
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.
It handles increasing complexity in deployment pipelines and maintains high release frequency without any issues.
Deployment pipelines, rollback systems, and performance reliability have been excellent even during high deployment activity.
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.
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.
One key area for improvement is simplifying the onboarding of new users; the reduction of platform complexity will help new users understand how all components interact, which feels initially very difficult.
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.
However, once Harness was fully integrated into our workflow, the operational benefits became clear, justifying the investment for our use case, despite the slightly higher cost for smaller teams.
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.
The unified platform through Harness is extremely valuable because it has reduced our tool sprawl; instead of maintaining separate CI/CD, feature flagging, and verification tools, we can now manage everything effectively.
| Product | Mindshare (%) |
|---|---|
| IBM Turbonomic | 6.1% |
| Harness | 2.2% |
| Other | 91.7% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
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.
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.
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.