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."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."
"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 can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"We like that we can have an all-encompassing product and don't have to implement different solutions."
"The initial setup of GitLab is pretty simple, with no complications."
"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."
"The stability is good."
"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."
"I have had no problem with the stability of the solution."
"The most valuable features of GitLab are the review, patch repo, and plans are in YAML."
"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."
"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 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."
"I believe there's room for improvement in the advanced features, particularly in enhancing the pipeline functionalities."
"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."
"The solution does not have many built-in functions or variables so scripting is required."
"GitLab doesn't have AWS integration. It would be better to have integration with other container management environments beyond Kubernetes. It has very good integration with Kubernetes, but it doesn't have good integration with, for example, AWS, ETS, etc."
"I would like configuration of a YML file to be done via UI rather than a code file."
"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."
"I would like to have some features to support peer review."
"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."
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.
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.