

Find out in this report how the two Build Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
I believe the efficiency improvement is more than a twenty to thirty percent increase compared to Jenkins.
We have not faced any customer support issues, with tickets resolved in less than a four-day SLA.
We have rarely faced issues with Harness tech support.
We have been receiving incident reports whenever an incident occurs on Harness, and they are usually quick to respond.
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.
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.
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.
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.
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 best features in Harness are its user-friendliness and setup configuration.
| Product | Mindshare (%) |
|---|---|
| Harness | 5.1% |
| TeamCity | 5.6% |
| Other | 89.3% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
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.
TeamCity offers flexibility in creating build pipelines with cross-platform support, powerful plugins like Octopus Deploy, and integration with version control systems, providing a centralized automation solution for continuous integration and deployments.
TeamCity streamlines CI/CD processes by supporting cross-platform building and testing for .NET, Java, and Ruby on Rails. It integrates with GitHub for code management and enables build environments for C/C++ projects, ensuring automated builds, unit tests, and security scans run efficiently. While praised for its user-friendly interface and quick setup, challenges include complex setup steps for configurations, a less structured interface, and limited reporting features. Integration with Octopus Deploy and Bitbucket can be improved, and enhancements are needed in the REST API and .NET deployment.
What are the essential features of TeamCity?In sectors such as software development and IT consulting, TeamCity is implemented to automate CI/CD pipelines across diverse platforms, supporting development languages like Java and .NET. Companies leverage it to streamline deployment processes to cloud-based environments, enhancing efficiency and reducing manual intervention.
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