

Harness and Hyperglance compete in cloud management and optimization. While Harness has favorable pricing and support, Hyperglance is seen as offering more value due to its advanced features.
Features: Harness excels with its CI/CD pipeline automation, intelligent caching system, and deployment strategies that ensure zero downtime. Hyperglance stands out with cost optimization, real-time resource mapping, and multi-cloud management, offering powerful insights into cloud architecture.
Room for Improvement: Harness can enhance its initial configuration process to further ease setup. Hyperglance could work on simplifying its deployment to match its operational capabilities. Both platforms can improve integration with other tools, enhancing user experience and functionality.
Ease of Deployment and Customer Service: Harness is praised for its straightforward deployment and comprehensive documentation, coupled with responsive customer support. Hyperglance offers robust support but requires a more complex deployment process due to its diverse features. Thus, while Harness prioritizes ease, Hyperglance focuses on advanced feature support.
Pricing and ROI: Harness provides a cost-effective pricing model, ensuring rapid ROI for budget-conscious organizations. Hyperglance, although having higher initial costs, delivers significant value through its detailed feature set, appealing to those needing greater operational insights and resource management.
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.
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 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.
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.
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.
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.
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.
Hyperglance is definitely stable, and we have not faced any kind of downtime, challenges, or bugs.
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.
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.
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.
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.
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.
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.
| Product | Mindshare (%) |
|---|---|
| Harness | 2.2% |
| Hyperglance | 0.9% |
| Other | 96.9% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
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.
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.
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