We performed a comparison between Digital.ai Agility and GitLab based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."
"It allows my clients to have one central tool to manage their agile projects."
"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."
"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"The user interface is really good so that helps with huge teams who need to collaborate."
"We like that we can create branches and then the branches can be reviewed and you can mesh those branches back. You can independently work with your own branch, you don't need to really control the core of other people."
"The dashboard and interface make it easy to use."
"I like GitLab's security and SAS tools."
"The SaaS setup is impressive, and it has DAST solutioning."
"I like that it's easy to deploy our services over GitLab. The customer support is also good with a really active community. You have a lot of support that you can get online with your stack. That is probably one of the benefits of using GitLab. It's also really fast."
"I like that you can use GitLab as a double-sided solution for both DevOps and version management. It's a good product for working in these two areas, and the user interface makes it easy to understand."
"A user friendly solution."
"Improve how to create and track releases. Currently, I have to create child projects."
"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."
"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."
"It can be free for commercial use."
"I would like more Agile features in the Premium version. The Premium version should have all Agile features that exist in the Ultimate version. IBM AOM has a complete Agile implementation, but in GitLab, you only have these features if you buy the Ultimate version. It would be good if we can use these in the Premium version."
"Their RBAC is role-based access, which is fine but not very good."
"GitLab could consider introducing a code-scanning tool. Purchasing such tools from external markets can incur charges, which might not be favorable. Integrating these features into GitLab would streamline the pipeline and make it more convenient for users."
"As GitLab is not perfect, what needs improvement in the solution is the Wiki feature of the groups or the repertories because currently, it's not searchable by default. You'll need an indexing service such as Elasticsearch to make it searchable, and that requires too much work, so for me, it's the main feature that should be improved in GitLab. In the next version of the solution, from the top of my head, the documentation could be improved. Besides the Wiki, it would be good if there's documentation that would be automatically generated based on the code repository. In other words, there should be some tutorials from GitLab for developers in the next release."
"The solution could be faster."
"Based on what I know so far, its integration with Kubernetes is not so good. We have to develop many things to make it work. We have to acquire third-party components to work with Kubernetes."
"I've noticed an area for improvement in GitLab, particularly needing to go through many steps to push the code to the repository. Resolving that issue would make the product better. My team quickly fixed it by writing a small script, then double-clicking or enabling the script to take care of the issue. However, that quick fix was from my team and not the GitLab team, so in the next release, if an automatic deployment feature would be available in GitLab, then that would be good because, in Visual Studio, you can do that with just one click of a button."
Digital.ai Agility is ranked 9th in Release Automation with 5 reviews while GitLab is ranked 2nd in Release Automation with 70 reviews. Digital.ai Agility is rated 9.0, while GitLab is rated 8.6. The top reviewer of Digital.ai Agility writes " A scalable, full-package solution with a tech support team that bends over backwards to help". On the other hand, the top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". Digital.ai Agility is most compared with Jira, Jira Align, Rally Software, Microsoft Azure DevOps and Chef, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, SonarQube, AWS CodePipeline and Tekton. See our Digital.ai Agility vs. GitLab report.
See our list of best Release Automation vendors and best Enterprise Agile Planning Tools vendors.
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