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."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 allows my clients to have one central tool to manage their agile projects."
"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 can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"This is a scalable solution. We had around 200 users working with it."
"I like GitLab from the CI/CD perspective. It is much easier to set up CI/CD and then integrate with other tools."
"GitLab is a solution for source code management, container registry, pipelines, testing, and deployment."
"Their CI/CD engine is very mature. It's very comprehensive and flexible, and compared to other projects, I believe that GitLab is number one right now from that perspective."
"The initial setup of GitLab is pretty simple, with no complications."
"I like GitLab's security and SAS tools."
"I have found the most valuable features of GitLab are the GitClone, GitPush, GitPull, GitMatch, GitMit, GitCommit, and GitStatus."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"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."
"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."
"The only thing our company is really waiting on in terms of features is the development of metrics."
"When deploying the solution on cloud and the CI/CD pipeline, we have to define the steps and it becomes confusing."
"Expand features to match other tools such as a static code analysis tool so third-party integrations are not required."
"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 do face issues in our company when we run out of disk space."
"In the free version, when a merge request is raised, there is no way to enforce certain rules. We can't enforce that this merge request must be reviewed or approved by two or three people in the team before it is pushed to the master branch. That's why we are exploring using some agents."
"I'm new to GitLab, so I would appreciate more documentation about the code and commands."
"The initial setup was quite challenging because it takes some time to understand how to pull out or push the code."
Digital.ai Agility is ranked 11th in Release Automation with 5 reviews while GitLab is ranked 1st in Release Automation with 68 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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