

GitLab and Tekton are competing in the CI/CD solutions arena. The analysis shows that GitLab may have the upper hand due to its strong CI/CD pipeline management and broad integration capabilities.
Features: GitLab offers strong CI/CD pipeline management, repository control, and peer review features. It integrates well with external platforms, including Jenkins, which enhances its functionality. Tekton, on the other hand, is cloud-native, working seamlessly with Kubernetes and excelling in detailed task customization. Its flexibility and support for task parallelization make it a great fit for Kubernetes environments.
Room for Improvement: GitLab could enhance AWS and container management integration, better support third-party tools, and provide more accessible documentation. Tekton faces challenges with ease of use and could benefit from improved documentation and better pipeline visualization. Its reliance on Kubernetes may limit its applicability across diverse environments.
Ease of Deployment and Customer Service: GitLab is adaptable across public, private, and hybrid cloud environments as well as on-premises. Deployment is straightforward but customer support response times can lag. Tekton, dependent on Kubernetes, may present deployment challenges for newcomers. While both offer community support, GitLab has more formal support channels.
Pricing and ROI: GitLab provides free and paid versions, with enterprise editions offering advanced features but at a higher cost. The robust feature set justifies the investment for many users. Tekton is open-source, offering significant cost advantages and potential resource savings over tools like Jenkins, enhancing ROI.
Regarding release frequency, previously we had one to two releases per week, but now we achieve daily or on-demand releases, resulting in a three to five-fold increase in release frequency.
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.
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.
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.
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.
Stability-wise, it is very stable, and we can seamlessly integrate.
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.
Scalability means based on the load, it will automatically gain resources and run.
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.
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.
Tekton is highly customizable. With Kubernetes, we can customize on our own and create custom builders.
| Product | Market Share (%) |
|---|---|
| GitLab | 9.0% |
| Tekton | 7.0% |
| Other | 84.0% |

| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 10 |
| Large Enterprise | 46 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 4 |
| Large Enterprise | 22 |
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.
Tekton is a powerful yet flexible Kubernetes-native open-source framework for creating continuous integration and delivery (CI/CD) systems. It lets you build, test, and deploy across multiple cloud providers or on-premises systems by abstracting away the underlying implementation details.
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