Digital.ai Deploy and GitLab are both key players in the software deployment and development space, with Digital.ai perceived to offer better support and pricing, while GitLab's extensive features and integration capabilities make it highly competitive. GitLab often has the upper hand due to its comprehensive feature set and cost efficiency.
Features: Digital.ai Deploy is strong in scalable deployment orchestration, robust release automation, and managed environments for controlled deployments. GitLab excels with its comprehensive CI/CD toolset, seamless integrations, and a unified platform that eases development processes. GitLab's integrated features make it advantageous for complex workflows.
Room for Improvement: Digital.ai Deploy could improve its user interface, offer more third-party integrations, and streamline its setup process. GitLab should work on enhancing its customer support, expanding its user community engagement, and providing more detailed error logging.
Ease of Deployment and Customer Service: Digital.ai Deploy simplifies deployment in complex IT environments with forte in transition support, noted for its responsive service. GitLab offers an intuitive deployment process with an all-in-one environment, benefitting from extensive documentation but is less personalized in customer service.
Pricing and ROI: Digital.ai Deploy usually involves higher initial costs but delivers ROI through faster deployments and minimized risks in complex scenarios. GitLab is cost-effective, offering substantial ROI due to its single-platform capability, reducing the requirement for multiple tools. GitLab's competitive edge often leans on its integrated features and pricing strategy.
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.
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.
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.
| Product | Market Share (%) |
|---|---|
| GitLab | 29.9% |
| Digital.ai Deploy | 1.7% |
| Other | 68.4% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 10 |
| Large Enterprise | 45 |
Automate and standardize complex, enterprise-scale application deployments to any environment—from mainframes and middleware to containers and the cloud. Speed up deployments with increased reliability. Enable self-service deployment while maintaining governance and control.
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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