We compared Gitlab and Microsoft Azure DevOps based on our user’s reviews in four categories. After reviewing the collected data. you can find our conclusion below:
Comparison Results : GitLab is the preferred option due to its comprehensive product that eliminates the need for multiple solutions and offers a single platform for various management tasks, including source code, build, test, artifact, and deployment management. The platform also has better integration with other platforms, more cloud-native capabilities, and a lower initial setup cost. However, Microsoft Azure DevOps is particularly useful for agile delivery and project management due to its easy navigation, customization, and integration with other Microsoft tools.
"The merging feature makes it easy later on for the deployment."
"For us, Gitlab's most valuable feature is the integration with Cypress. We're using Cypress as an automation tool, so we're using GitLab as a tool for running in parallel."
"I like GitLab from the CI/CD perspective. It is much easier to set up CI/CD and then integrate with other tools."
"The solution makes the CI/CD pipelines easy to execute."
"Git hosting has an integration with ACD which is why we liked this solution in the first place."
"The most valuable features of Gitlab are integration with CIE and the ability to rapidly deploy solutions, projects, and applications. It is very easy to use, and there are no complaints."
"The most valuable feature of GitLab is its convenience. I am able to trace back most of my changes up to a far distance in time and it helps me to analyze and see the older version of the code."
"The most valuable feature of GitLab is the automatic merging of code."
"It is stable. I like Azure a lot. All our guys are Microsoft certified."
"The work items option is incredibly flexible."
"The tool's most efficient feature is the integration of its services in one place. It is an easy-to-use product that improves productivity. Microsoft Azure DevOps is also user-friendly. Its documentation is clear and can be found on Google."
"Microsoft Azure DevOps integrates well with other components, such as Synapse, which is a data warehouse tool of Azure. It is a framework platform for BI and integrated with other tools, such as Power BI."
"This is an all-in-one, one-stop shop, nothing comes close."
"Everything that's related to the pipeline has been very good."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"Our technical sales staff and business development people need to know how far the developers are on any product that we're developing. DevOps makes it easier for you to see how far along they are with the work because they have a repository where they store everything. There is a portal where you can see what has been done, what has been tested, what is working, and what isn't. I have a huge dashboard with an overview of what the development team is doing from an executive point of view."
"I would like to have some features to support peer review."
"I would like configuration of a YML file to be done via UI rather than a code file."
"We'd always like to see better pricing on the product."
"I would like to see better integration with project management tools such as Jira."
"The documentation is confusing."
"I would like to see static analysis also embedded in GitLab. That would also help us. If there's something that it does internally by GitLab and then that is already tied up with your pipeline and then it can tell you that you're coding is good or your code is not great. Based on that, it would pass or fail. That should be streamlined. I would think that would help to a greater extent, in terms of having one solution rather than depending on multiple vendors."
"It would be better if there weren't any outages. There are occasions where we usually see a lot of outages using GitLab. It happens at least once a week or something like that. Whatever pipelines you're running, to check the logs, you need to have a different set of tools like Argus or something like that. If you have pipelines running on GitLab, you need a separate service deployed to view the logs, which is kind of a pain. If the logs can be used conveniently on GitLab, that would be definitely helpful. I'm not talking about the CI/CD pipelines but the back-end services and microservices deployed over GitLab. To view the logs for those microservices, you need to have separate log viewers, which is kind of a pain."
"Merge conflicts and repository maintenance could improve. If there is someone new to the system they would not know if there is a conflict."
"Requirements management is an area that can be improved."
"Some of the queries, the way they're built, need to be looked at. We need better query tools."
"Templates could be improved."
"The documentation isn't straightforward."
"At times, our development work encounters issues, particularly when executing numerous CI/CD processes."
"Its interface could be more user-friendly. It could be simplified for users with no prior knowledge. There should also be better tutorials."
"I would like to see improvement in the metrics and the dependencies."
"Microsoft Azure DevOps could improve by having better integration with other email servers."
GitLab is ranked 2nd in Release Automation with 70 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 124 reviews. GitLab is rated 8.6, while Microsoft Azure DevOps is rated 8.2. The top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". On the other hand, the top reviewer of Microsoft Azure DevOps writes "Good support, helpful management capabilities, and great Kanban boards". GitLab is most compared with Bamboo, AWS CodePipeline, SonarQube, Tekton and TeamCity, whereas Microsoft Azure DevOps is most compared with Jira, TFS, Rally Software, ServiceNow Strategic Portfolio Management and OpenText ALM / Quality Center. See our GitLab vs. Microsoft Azure DevOps report.
See our list of best Release Automation vendors and best Enterprise Agile Planning Tools vendors.
We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
