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."It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"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."
"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."
"It allows my clients to have one central tool to manage their agile projects."
"As a developer, this solution is useful as a repository holder because most of the POC projects that we have are on GitLab."
"GitLab is very useful for pipelines, continuous integration, and continuous deployment. It is also stable."
"GitLab's best feature is Actions."
"The most valuable features of GitLab are ease of use and highly intuitive UI and performance."
"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."
"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."
"GitLab is being used as a repository for our codebase and it is a one stop DevOps tool we use in our team."
"The initial setup of GitLab is pretty simple, with no complications."
"Improve how to create and track releases. Currently, I have to create child projects."
"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."
"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."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"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."
"I believe there's room for improvement in the advanced features, particularly in enhancing the pipeline functionalities."
"Expand features to match other tools such as a static code analysis tool so third-party integrations are not required."
"It is a little complex to set up the pipelines within the solution."
"There was a problem with the build environment when we were looking at developing iOS applications. iOS build require Mac machines and there are no Mac machines provided by GitLab in their cloud. So to build for mobile iOS application, we needed to use our own Mac machine within our own infrastructure. If GitLab were to provide a feature such that an iOS application could also be built through GitLab directly, that would be great."
"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."
"We have only seen a couple of issues on Gitlab, which we use for building some of the applications."
"GitLab would be improved with the addition of templates for deployment on local PCs."
"Perhaps the integration could be better."
Digital.ai Agility is ranked 11th 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, Rally Software, Jira Align, Microsoft Azure DevOps and Chef, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, AWS CodePipeline, SonarQube 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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