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."
"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."
"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 most valuable feature of GitLab is its security."
"As a developer, this solution is useful as a repository holder because most of the POC projects that we have are on GitLab."
"GitLab's best feature is Actions."
"This product is always evolving, and they listen to the customers."
"We're only using the basic features of GitLab and haven't used any advanced features. The solution works fine, so that's what we like about GitLab. We're party using GitHub and GitLab. We have a GitHub server, while we use GitLab locally or only within our team, and it works okay. We don't have any significant problems with the solution. We also found the straightforward setup, stability, and scalability of GitLab valuable."
"The most valuable feature of GitLab is the ability to upload scripts and make changes when needed and then reupload them. Additionally, the solution is user-friendly."
"It's a great toolbox where the CI/CD pipeline is the fundamental component, but there are so many other features that you can pull from, which makes it a very powerful tool. My current client is using AWS, and they can, of course, use AWS CodePipeline, but GitLab is much more mature than that, and it also gives you the freedom to decide to go to another platform or have a multi-cloud strategy and things like that. That freedom for me is also very valuable."
"It speeds up our development, it's faster, safer, and more convenient."
"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."
"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."
"The integration could be slightly better."
"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."
"We'd always like to see better pricing on the product."
"GitLab would be improved with the addition of templates for deployment on local PCs."
"I used Spring Cloud config and to connect that to GitLab was so hard."
"We would like to have easier tutorials. Their tutorials are too technical for a user to understand. They should be more detailed but less technical."
"The documentation could be improved to help newcomers better understand things like creating new branches."
"I believe there's room for improvement in the advanced features, particularly in enhancing the pipeline functionalities."
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 TFS, whereas GitLab is most compared with Microsoft Azure DevOps, SonarQube, Bamboo, 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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