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Codefresh vs Harness comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.2
Organizations gain increased efficiency and cost savings with Codefresh, but some do not experience ROI benefits.
Sentiment score
7.3
Harness enhanced deployment efficiency and error reduction, yielding significant ROI through automation and AI-driven cost-saving strategies.
Before Codefresh, we had to plan the strategy, write the configuration file, and run everything; it used to take two to three days to plan and implement, but now it is a one-time job, so it can be done in ten to fifteen minutes.
Cloud Platform at Futurescape
In terms of dollars, considering both engineering cost and infrastructure cost, I would say the savings are more than at least $10,000 to $15,000.
DevOps Engineer at a manufacturing company with 51-200 employees
The biggest ROI comes from faster software delivery and improved engineering productivity.
ML Engineer at a energy/utilities company with 51-200 employees
The AI features that they have and with which we can rewrite the pipeline and troubleshoot issues significantly saved time.
Cloud Architect at a outsourcing company with 51-200 employees
By adopting templates and various different pipelines across our own IDP platform, we have saved upwards of 30 to 40% of development time.
Technical Associate at ZS
 

Customer Service

Sentiment score
5.7
Codefresh's support is praised for fast responses, technical expertise, and user feedback integration, enhancing customer experience, especially for enterprises.
Sentiment score
7.7
Harness offers reliable, responsive customer service and well-structured documentation, providing efficient issue resolution and high user satisfaction.
They actually understand Kubernetes and container architecture, which makes a huge difference.
DevOps Engineer at a manufacturing company with 51-200 employees
One of the team members had a few configurations that we suggested to Codefresh, and they took it and applied those configurations within Codefresh's product.
System Analyst at Cybage Software Pvt. Ltd.
We have rarely faced issues with Harness tech support.
IT Analyst | Aws Cloud Ops | Dev Ops | Fin Ops at Tata Consultancy
We have not faced any customer support issues, with tickets resolved in less than a four-day SLA.
Quality Engineering Lead at a logistics company with 51-200 employees
I have not required extensive customer support involvement, as the documentation is well-structured.
ML Engineer at a energy/utilities company with 51-200 employees
 

Scalability Issues

Sentiment score
7.4
Codefresh is praised for its seamless scalability and resource management, crucial for growing businesses handling increased workloads efficiently.
Sentiment score
7.5
Harness effectively scales SaaS environments, supports complex workflows, but may face stability issues with simultaneous service integrations.
Unlike our old Jenkins setup where adding more builds often meant the master node would struggle and we would run out of executors, Codefresh is Kubernetes-native, so it scales horizontally by design.
DevOps Engineer at a manufacturing company with 51-200 employees
Codefresh's scalability is 10 out of 10; it is very scalable.
Strategy & Innovation Senior Dev Ops Engineer at National Australia Bank
Codefresh handles scalability as my workloads grow by allowing us to implement techniques such as HPA.
Dev Ops Consultant at a outsourcing company with 1,001-5,000 employees
Our entire organization uses it with hundreds of applications, and it supports this scale effectively.
Senior Software Engineer at a financial services firm with 10,001+ employees
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.
Technical Associate at ZS
It handles increasing complexity in deployment pipelines and maintains high release frequency without any issues.
ML Engineer at a energy/utilities company with 51-200 employees
 

Stability Issues

Sentiment score
8.2
Codefresh is generally stable and reliable, with minor UI issues and occasional complexity during peak usage times.
Sentiment score
8.1
Harness is considered stable and reliable, although integration with many applications may occasionally affect stability.
Codefresh is generally very quick, and the experience is very pleasant and good.
DevOps Engineer at a manufacturing company with 51-200 employees
My environment is very secure and stable, and the accuracy needed during a process of AI capabilities does not disappoint me.
Dev Ops Consultant at a outsourcing company with 1,001-5,000 employees
In my experience, Codefresh is stable with not many challenges in hiccups or in clusters, but it is somewhat complex.
System Analyst at Cybage Software Pvt. Ltd.
Deployment pipelines, rollback systems, and performance reliability have been excellent even during high deployment activity.
ML Engineer at a energy/utilities company with 51-200 employees
Harness is completely stable, and we are using it in production without facing any stability issues at all.
Quality Engineering Lead at a logistics company with 51-200 employees
We have rarely faced issues with Harness tech support.
IT Analyst | Aws Cloud Ops | Dev Ops | Fin Ops at Tata Consultancy
 

Room For Improvement

Users desire improvements in Codefresh's UI performance, integration, automation, GCP capabilities, and reduced complexity for better user experience.
Simplify configuration, improve UI, expand features, clarify pricing, and enhance security to improve accessibility and functionality for smaller teams.
I gave it a nine because it has automated Kubernetes deployments, which are not easy to achieve through CI/CD, and it is centralized, integrating GitOps, Argo CD, and Docker-based containerized application deployment, making it a useful tool.
Cloud Platform at Futurescape
Although the visibility into Kubernetes is excellent, I would love to see out-of-the-box cost optimization metrics.
DevOps Engineer at a manufacturing company with 51-200 employees
Some design decisions made us move away from Codefresh to another vendor for pipelines.
System Analyst at Cybage Software Pvt. Ltd.
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.
Technical Associate at ZS
Improved documentation and onboarding tutorials would help accelerate adoption.
Cloud Platform at Futurescape
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.
ML Engineer at a energy/utilities company with 51-200 employees
 

Setup Cost

Harness pricing is higher than open-source but justified by benefits, with room for improvement in licensing cost noted.
Since we are an enterprise-level team, we moved past the basic tier onto a custom contract.
DevOps Engineer at a manufacturing company with 51-200 employees
Codefresh is nice because we used to share the licensing, cluster creation, and those accounts around products.
System Analyst at Cybage Software Pvt. Ltd.
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.
Technical Associate at ZS
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.
ML Engineer at a energy/utilities company with 51-200 employees
The licensing cost is a little bit too high.
Cloud Architect at a outsourcing company with 51-200 employees
 

Valuable Features

Codefresh enhances efficiency with GitOps, automation, smart deployments, and shared volume architecture for streamlined CI/CD processes.
Harness simplifies CI/CD automation with AI-driven processes, enhancing deployment speed and reliability while reducing risks and manual effort.
Codefresh eliminates the manual process and provides a centralized platform for continuous integration, continuous delivery, and GitOps-based release management.
Cloud Platform at Futurescape
The best feature of Codefresh is the GitOps control plane, which provides a single unified view of all Argo CD runtimes and clusters on the dashboard.
DevOps Engineer at a manufacturing company with 51-200 employees
In my opinion, the best features Codefresh offers are extensibility, flexibility, a lot of features, and it is also very fast.
Strategy & Innovation Senior Dev Ops Engineer at National Australia Bank
Harness uses AI to suggest errors in case of deployment failures.
Senior Software Engineer at a financial services firm with 10,001+ employees
The platform also supports cloud-native environments and Kubernetes deployments, making pipeline management easier, and its automation capabilities significantly improve speed and reliability.
Cloud Platform at Futurescape
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.
ML Engineer at a energy/utilities company with 51-200 employees
 

Categories and Ranking

Codefresh
Ranking in Build Automation
19th
Average Rating
8.8
Reviews Sentiment
6.1
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Harness
Ranking in Build Automation
8th
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
12
Ranking in other categories
Static Application Security Testing (SAST) (12th), Cloud Cost Management (8th), Feature Management (2nd)
 

Mindshare comparison

As of June 2026, in the Build Automation category, the mindshare of Codefresh is 1.0%, up from 0.3% compared to the previous year. The mindshare of Harness is 4.8%, down from 7.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
Harness4.8%
Codefresh1.0%
Other94.2%
Build Automation
 

Featured Reviews

US
DevOps Engineer at a manufacturing company with 51-200 employees
GitOps control plane has transformed deployments and now enables proactive Kubernetes visibility
While using Codefresh, I still don't see many downsides, but I would say the UI performance with large logs is an area for improvement. When a complex pipeline generates a high volume of logs, the user interface can occasionally become sluggish, jittery, or take extra seconds to render. The only downside I would say is the UI experience and its smoothness. Although the visibility into Kubernetes is excellent, I would love to see out-of-the-box cost optimization metrics. Argo CD knows how a pod is performing, its status, and its state. There should be some kind of cost optimization metrics shown on the GitOps application where we could save money or perhaps reduce the resources of a particular pod application. One improvement I would say is a promotion process between environments, from lower to upper environment. Currently, the model with complex promotion logic such as specific concurrency strategies or smart rollbacks when multiple commits hit at once can feel quite manual. I would like to see more automated promotion gates that can handle multi-cluster dependencies without needing as much custom YAML configuration.
MK
Technical Associate at ZS
Templatized pipelines have improved efficiency while limitations in code-based development remain
Harness UI can do a lot of good things. Harness's UI should not feel very complicated. At the current stage, it feels very commercialized and compared to other platforms such as Argo CD or Jenkins, which feel much more lively and much more simple. Infrastructure as code or pipeline as code is something that Harness severely lacks. 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. Pipeline as code is definitely one of the disadvantages when it comes to Harness. Additionally, the entire platform feels very commercialized, which is something that a lot of developers, especially open-source enthusiasts, might not appreciate even within the organization. One of the very important key factors I observed was that there is no way to execute nested pipelines, which means that we cannot execute child pipelines within child pipelines and child pipelines even within those child pipelines. There is no way to execute nested pipeline execution, which may or may not be required based on the use case, but it is definitely one of those features that I wish the platform had.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
26%
Manufacturing Company
8%
Computer Software Company
7%
Outsourcing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise10
 

Questions from the Community

What needs improvement with Codefresh?
The challenge that we faced with Codefresh is that it is a complex setup. Kubernetes and Docker are somewhat complex. However, the cluster needs many computer resources to have Kubernetes and Docke...
What is your primary use case for Codefresh?
My main use case for Codefresh is for build and release. For build and release with Codefresh, we maintain the version-controlled file of the pipeline. Once a commit happens, the build will trigger...
What advice do you have for others considering Codefresh?
The advice I would give to others looking into using Codefresh is that they need to have that budget. Whoever wants to use Codefresh needs to have the budget and a return on investment. They need t...
What needs improvement with Harness?
There are some UI components that can be improved. The needed UI improvements include more graphs, more history, the ability to create pipelines through the UI, and more interactions, with UI compo...
What is your primary use case for Harness?
My main use case for Harness is to create pipelines, deploy applications, and manage security pipelines. I use Harness to deploy applications to EC2 instances and Kubernetes instances, and I create...
What advice do you have for others considering Harness?
My advice for others looking into using Harness is to use AI capabilities, create pipelines, and then use it to deploy. Harness is a good tool. I would rate this review a nine out of ten.
 

Comparisons

 

Also Known As

No data available
Armory
 

Overview

 

Sample Customers

Information Not Available
Linedata, Openbank, Home Depot, Advanced
Find out what your peers are saying about Codefresh vs. Harness and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.