

Harness and Tekton compete in the CI/CD platform market. Harness often gains the upper hand due to its ease of use and robust features, while Tekton appeals to teams needing high customization.
Features: Harness provides automated Canary and Blue-Green deployments, intuitive cloud cost management, and straightforward UI for simplified workflows. Tekton offers pipeline modularity and integrates seamlessly with existing DevOps tools, emphasizing flexibility and adaptability. Harness is user-friendly, whereas Tekton serves teams craving customization.
Ease of Deployment and Customer Service: Harness offers a fast deployment model with extensive customer support, making it suitable for teams with limited technical resources. Tekton requires a technical setup but fosters a community-driven approach, benefiting teams with internal expertise and innovation. Harness's strong customer service and detailed guides provide an advantage.
Pricing and ROI: Harness involves a higher setup cost, offering clear ROI through reduced deployment time and minimized risks. Tekton, being open-source, presents a low initial cost but demands investment in development resources for complex pipelines. Harness focuses on managed efficiency, while Tekton's affordability comes with increased in-house management requirements.
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.
Stability-wise, it is very stable, and we can seamlessly integrate.
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.
Scalability means based on the load, it will automatically gain resources and run.
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.
Tekton is highly customizable. With Kubernetes, we can customize on our own and create custom builders.
| Product | Mindshare (%) |
|---|---|
| Tekton | 5.2% |
| Harness | 5.0% |
| Other | 89.8% |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 4 |
| Large Enterprise | 22 |
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.
Tekton is a cloud-native CI/CD tool preferred for its integration with Kubernetes. It offers customizable pipelines and efficient management of tasks, appealing to those handling complex deployments. Its open-source design and ease of use support its widespread adoption.
Designed for Kubernetes, Tekton provides a robust environment for continuous integration and deployment. It supports cloud-native design, allowing seamless automation of building, testing, and deployment processes. Users benefit from customizable solutions with reusable tasks and parallel execution capabilities, optimizing CI/CD processes via a user-friendly dashboard. Despite its challenges with storage and logging, Tekton remains an adaptable tool that integrates well with other applications, like Argo CD. However, its deployment accessibility, scalability in complex environments, and documentation need enhancement to improve user onboarding and security management.
What features make Tekton stand out?Industries often employ Tekton within Kubernetes and OpenShift for its automation capabilities in CI/CD pipelines. Its use extends to automating build, test, and deployment processes in microservices management. Tekton's integration with tools like Argo CD facilitates superior deployment, making it the preferred choice for efficient orchestration in cloud-native environments over competitors such as Jenkins.
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