

GitLab and Tekton compete in the CI/CD platform category. GitLab holds the upper hand due to its comprehensive features for repository management, ease of configuration, and user-friendly interface.
Features: GitLab offers a robust set of CI/CD pipeline tools, security features, and effective version control integrated with other platforms. Its UI is intuitive, and it supports extensive integration options. Tekton excels with its cloud-native, Kubernetes-native architecture, offering high customization, seamless Kubernetes environment integration, and a lightweight, scalable structure.
Room for Improvement: GitLab could enhance integration with AWS, improve support for non-Kubernetes environments, and refine its documentation and tutorials. Users also seek enhanced metrics and better third-party integrations. Tekton needs to become more user-friendly, improve YAML configuration flexibility, and strengthen community support, addressing technical overhead and dashboard limitations.
Ease of Deployment and Customer Service: GitLab offers diverse deployment across all cloud types, providing strong technical support that is especially valued in public cloud deployments, though premium support requires a license. Tekton excels in hybrid cloud integration on Kubernetes platforms, but relies on community support, providing less immediate assistance despite its open-source adaptability.
Pricing and ROI: GitLab has both free and paid tiers, with enterprise-level features in the paid tier, deemed costly but justifiable for large teams. It is well-regarded for comprehensive functionality, providing good ROI. Tekton, being open-source, is cost-efficient and reduces operational costs, especially with Kubernetes, appealing to budget-conscious organizations valuing open-source models.
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 | 9.6% |
| Tekton | 7.9% |
| Other | 82.5% |

| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 10 |
| Large Enterprise | 45 |
| 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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