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Digital.ai Release vs GitLab comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Digital.ai Release
Ranking in Build Automation
15th
Ranking in Release Automation
9th
Ranking in DevSecOps
8th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
GitLab
Ranking in Build Automation
1st
Ranking in Release Automation
2nd
Ranking in DevSecOps
1st
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
85
Ranking in other categories
Application Security Tools (11th), Static Application Security Testing (SAST) (7th), Rapid Application Development Software (10th), Software Composition Analysis (SCA) (5th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd)
 

Mindshare comparison

As of August 2025, in the Build Automation category, the mindshare of Digital.ai Release is 1.0%, up from 0.9% compared to the previous year. The mindshare of GitLab is 14.5%, down from 17.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

Jeanne-Mari Chandran - PeerSpot reviewer
Experience seamless project management and integration with robust tools
The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required. I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software. Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.
Rohit Kesharwani - PeerSpot reviewer
Improved agility and time to market with CI/CD enhancements
The CI/CD pipelines in GitLab are highly valuable. Another important feature is the single source of repository, allowing efficient repository management and source code management. GitLab provides manageability by allowing us to manage source code effectively through separate repositories. Additionally, GitLab enables the creation of individual CI/CD pipelines for each repository, making software more agile. By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
"The solution can apply one template across multiple applications."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"Overall, I would give Digital.ai Release a rating of nine out of ten; there's always room for improvement, but it's really good."
"Everything is easy to configure and easy to work with."
"It speeds up our development, it's faster, safer, and more convenient."
"It scales well."
"This is a scalable solution. We had around 200 users working with it."
"GitLab integrates well with other platforms."
"The tool helps to integrate CI/CD pipeline deployments. It is very easy to learn. Its security model is good."
"GitLab's best features are maintenance, branch integration, and development infrastructure."
"The scalability is good."
 

Cons

"I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what Digital.ai's cloud capabilities are."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
"The solution is a little bit expensive."
"The licensing model could be improved to be more accommodating in terms of user numbers and costs."
"The solution could improve by providing more integration into the CI/CD pipeline, an autocomplete search tool, and more supporting documentation."
"We would like to generate document pages from the sources."
"This solution could be improved by adding modifications such as slack notifications."
"GitLab could add a plugin to integrate with Kubernetes stuff."
"We have only seen a couple of issues on Gitlab, which we use for building some of the applications."
"I would like to see better integration with project management tools such as Jira."
"The integration could be slightly better."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
"There are different licensing options available, including a free limited-user license."
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the pricing a five out of ten."
"The solution's standard license is paid annually. They have changed the pricing model and it used to be better. There is a free version available."
"We are using the free version of GitLab."
"The open-source version is very good and the commercial version is reasonably priced."
"GitLab is comparatively expensive, but it provides value because it's feature-rich."
"My company uses the free version of GitLab, which is GitLab Community Edition. There is a licensed version also available for GitLab."
"Regarding pricing, I would rate GitLab as moderately priced, maybe around a seven or eight out of ten. It could be more flexible for clients but generally offers good value."
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Top Industries

By visitors reading reviews
Financial Services Firm
36%
Computer Software Company
18%
Government
8%
Healthcare Company
8%
Financial Services Firm
14%
Computer Software Company
14%
Government
11%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Digital.ai Release ?
The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us.
What needs improvement with Digital.ai Release ?
Based on my experience, I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what ...
What is your primary use case for Digital.ai Release ?
My use case for Digital.ai Release is that I work for an insurance company on a very big project that develops multiple different pieces of software. We use Digital.ai Release to move our software ...
What do you like most about GitLab?
I find the features and version control history to be most valuable for our development workflow. These aspects provide us with a clear view of changes and help us manage requests efficiently.
What is your experience regarding pricing and costs for GitLab?
The pricing and cost are on par with other tools and are neither too expensive nor cheap.
What needs improvement with GitLab?
Regarding improvements, making task management is something that GitLab can potentially make easier, similar to what DevOps or Jira does.
 

Comparisons

 

Also Known As

XL Release, XebiaLabs XL Release
Fuzzit
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
1. NASA  2. IBM  3. Sony  4. Alibaba  5. CERN  6. Siemens  7. Volkswagen  8. ING  9. Ticketmaster  10. SpaceX  11. Adobe  12. Intuit  13. Autodesk  14. Rakuten  15. Unity Technologies  16. Pandora  17. Electronic Arts  18. Nordstrom  19. Verizon  20. Comcast  21. Philips  22. Deutsche Telekom  23. Orange  24. Fujitsu  25. Ericsson  26. Nokia  27. General Electric  28. Cisco  29. Accenture  30. Deloitte  31. PwC  32. KPMG
Find out what your peers are saying about Digital.ai Release vs. GitLab and other solutions. Updated: July 2025.
865,164 professionals have used our research since 2012.