

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.
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.
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.
Migrating to GitLab is bringing time-saving benefits, and everything is easier to automate.
We have saved time significantly, reducing deployment time from four hours to five minutes per deployment.
In terms of operational efficiency, a ten to twenty percent increase in speed could quite easily be seen from using the Issues and Epics tracking feature.
They actually understand Kubernetes and container architecture, which makes a huge difference.
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.
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
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.
Codefresh's scalability is 10 out of 10; it is very scalable.
Codefresh handles scalability as my workloads grow by allowing us to implement techniques such as HPA.
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
We're transitioning to OpenShift for future scalability with increased user numbers.
For scaling, other deployment options from GitLab's side need to be adopted.
Codefresh is generally very quick, and the experience is very pleasant and good.
My environment is very secure and stable, and the accuracy needed during a process of AI capabilities does not disappoint me.
In my experience, Codefresh is stable with not many challenges in hiccups or in clusters, but it is somewhat complex.
I have not encountered any performance or stability issues with GitLab so far.
The updates are frequent and demanding, happening at least once a week due to security reasons.
We raised a request with GitLab support, but they were unable to help because they could not find the root cause of what went wrong.
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.
Although the visibility into Kubernetes is excellent, I would love to see out-of-the-box cost optimization metrics.
Some design decisions made us move away from Codefresh to another vendor for pipelines.
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
It is essential to conduct proper testing, such as unit tests and code coverage, within the SDLC pipelines.
GitLab can improve its user interface to make conflict resolution more user-friendly.
Since we are an enterprise-level team, we moved past the basic tier onto a custom contract.
Codefresh is nice because we used to share the licensing, cluster creation, and those accounts around products.
Even when working in other small organizations, we opted for GitLab as it was cost-efficient.
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
The price is high, and it limits user accessibility.
Codefresh eliminates the manual process and provides a centralized platform for continuous integration, continuous delivery, and GitOps-based release management.
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.
In my opinion, the best features Codefresh offers are extensibility, flexibility, a lot of features, and it is also very fast.
As we implement automated testing and DevSecOps, it speeds up the process by forty to sixty percent.
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.
| Product | Mindshare (%) |
|---|---|
| GitLab | 6.8% |
| Codefresh | 1.0% |
| Other | 92.2% |

| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 10 |
| Large Enterprise | 49 |
Codefresh is a progressive tool tailored for enhancing DevOps teams, enabling swift deployments with its Kubernetes-native architecture while supporting GitOps control to provide a centralized view of Argo CD runtimes and clusters.
Codefresh stands out by integrating real-time application health monitoring, efficient artifact management, and smart deployment strategies. Automation features reduce manual efforts allowing seamless version control integration. While users appreciate its extensibility and quick third-party tool integrations, there is room for improvements in UI performance with large logs and the promotion process between environments. Suggested enhancements include more features for cost optimization and capabilities within GCP. Taking advantage of Kubernetes and YAML proficiency for setup can be challenging, despite comprehensive documentation.
What are the key features of Codefresh?In industries relying on microservices and Kubernetes, Codefresh serves as a control plane integrated with Argo CD, facilitating the management of CI/CD pipelines. It automates Docker image builds and updates, decreasing manual errors and delays. Widely utilized for deploying containerized applications across environments like production and staging, it aids in infrastructure management and enhances the developer platform experience.
GitLab offers a secure and user-friendly platform for CI/CD pipeline management, code repository control, and collaboration, enhancing development speed and efficiency. It facilitates automation with extensive customization and tool integration, ideal for DevOps processes.
GitLab supports source code management, version control, and collaborative development. It's frequently used in CI/CD processes to automate builds and deployments while integrating DevOps practices. GitLab allows companies to manage repositories, automate pipelines, conduct code reviews, and maintain development lifecycles. The platform supports infrastructure and configuration management, enabling efficient code collaboration, deployment automation, and comprehensive repository handling. Many organizations commit and deploy developed code using GitLab's capabilities.
What are GitLab's most valuable features?In specific industries, GitLab serves as a backbone for source code management and CI/CD implementation. Companies leverage its capabilities for infrastructure management and deployment automation, thus streamlining project delivery timelines. Its ability to handle configuration management and code repositories effectively aids in maintaining development lifecycles, making it a preferred choice for organizations committed to enhancing their DevOps practices.
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