Digital.ai Release vs GitLab comparison

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Digital.ai Release

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Executive SummaryUpdated on Jan 7, 2025

Digital.ai Release and GitLab are competing in the agile delivery and DevOps domain. GitLab has the upper hand due to its extensive features and integration capabilities, considered worthy of its pricing.

Features: Digital.ai Release offers effective release management and deployment automation, suitable for enterprise-scale releases. Additionally, it integrates well with different deployment systems and tools like Jira and Bamboo, making it efficient for managing workflows. GitLab stands out with its all-in-one DevOps platform that encompasses code repository management and CI/CD pipelines, along with a user-friendly interface, making it a comprehensive tool for DevOps processes.

Room for Improvement: Digital.ai Release could enhance its adaptability for non-enterprise settings and simplify its learning curve. Improvements in UI and onboarding processes can make it more accessible. GitLab could enhance its advanced features usage and streamline its comprehensive documentation for easier access. It could also focus on expanding its feature set to avoid drop-off in usage complexity.

Ease of Deployment and Customer Service: Digital.ai Release is known for its structured deployment procedures and proactive customer support, catering to complex enterprise environments. GitLab offers flexible deployment models combined with extensive documentation and community support, enhancing convenience for various organizations.

Pricing and ROI: Digital.ai Release involves a higher initial setup cost that offers long-term ROI in large enterprises with its customizability. GitLab offers competitive pricing with a lower initial investment, providing a compelling ROI through its efficient, integrated platform, appealing to organizations seeking comprehensive DevOps solutions.

To learn more, read our detailed Digital.ai Release vs. GitLab Report (Updated: January 2026).

Digital.ai Release vs. GitLab

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Helped 881,082 peers since 2012

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

10th

Ranking in DevSecOps

7th

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

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

6.9

Number of Reviews

Ranking in other categories

Application Security Tools (11th), Static Application Security Testing (SAST) (9th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (4th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd)

Mindshare comparison

As of January 2026, in the Build Automation category, the mindshare of Digital.ai Release is 1.8%, up from 0.8% compared to the previous year. The mindshare of GitLab is 9.6%, down from 17.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation Market Share Distribution
Product	Market Share (%)
GitLab	9.6%
Digital.ai Release	1.8%
Other	88.6%

Build Automation

Featured Reviews

Jeanne-Mari Chandran

Software Configuration Specialist at a insurance company with 10,001+ employees

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.

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BasilJiji

System Engineer at a retailer with 10,001+ employees

Role-based workflows have transformed daily deployments and improve team collaboration

GitLab has role-based access control, so when a team member needs to make a code change, they cannot directly apply it to the environment but must put in a merge request. Once a senior reviews the code and approves it, then it is implemented across the environment, making it safer and allowing everyone to experience the process. The best features GitLab offers are version control and automation, which are the major things that stand out to me. When it comes to access, the login is very smooth, with just one login integrated with our Okta, allowing everyone to log in easily. Deployments become much easier, and that is how GitLab helps. The automation features make my work easier because we use a tool called AWX, which is connected to GitLab. Whenever we run a job on AWX, it directly checks the code and uses it. Since the code is not preserved locally but kept in the cloud, it is safe and nobody can tamper with it. When it comes to safety, that is a major thing. Automation features allow the code to be accessed from any tools we use, so the jobs we run are helping tremendously and doing their work perfectly. For pipeline tasks, we have created a significant amount of pipelines, which are all hosted in GitLab. Running the pipelines has become much easier, and they are doing a perfect job, helping tremendously in our day-to-day activities. GitLab has positively impacted my organization because previously we stored code locally on servers, leading to many risks. Since GitLab came into our environment, our integration and deployments became much easier, helping our work become much smoother. Improvements from GitLab have led to better team collaboration because when several people are working, they can all edit the code and submit it as a merge request, and once approved, it reflects directly to the main branch. Many can work at the same time. When it comes to deployments, deploying has become much faster since we started using GitLab, and even if errors occur, we can spot them easily and troubleshoot, which has helped tremendously.

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Quotes from Members

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

Pros

"The solution can apply one template across multiple applications."

"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."

"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."

"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."

"We have seen a couple of merge requests or pull requests raised in GitLab. I see the interface, the way it shows the difference between the two source codes, that it is easy for anyone to do the review and then accept the request; the pull request is the valuable feature."

"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."

"GitLab is very useful for pipelines, continuous integration, and continuous deployment. It is also stable."

"Of all available products, it was the easiest to use and easy to install."

"The solution has an established roadmap that lays out its plans for upgrades over the next two to three years."

"GitLab's source control is excellent."

"GitLab has better support, and its features are superior compared to Jenkins."

"GitLab is very well-organized and easy to use. Also, it offers most features that customers need."

More GitLab pros

Cons

"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."

"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."

"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."

"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."

"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 have encountered issues with the deployment of CI/CD pipelines, especially dealing with variable environments."

"Currently, GitLab is not easy to scale because GitLab has specific deployment instructions. We deploy it on one of the VMs."

"The pricing has been substantially increased, which is a major concern."

"I believe GitLab can be improved by making integration with other platforms a little easier."

"I would like more Agile features in the Premium version. The Premium version should have all Agile features that exist in the Ultimate version. IBM AOM has a complete Agile implementation, but in GitLab, you only have these features if you buy the Ultimate version. It would be good if we can use these in the Premium version."

"GitLab can improve by integrating with more tools, such as servers with Docker."

"The solution should again offer an on-premises deployment option."

More GitLab cons

Pricing and Cost Advice

"The solution's license includes all features."

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."

"It is very expensive. We can't bear it now, and we have to find another solution. We have a yearly subscription in which we can increase the number of licenses, but we have to pay at the end of the year."

"GitLab is comparatively expensive, but it provides value because it's feature-rich."

"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."

"In terms of the pricing for GitLab, on a scale of one to five, with one being expensive and five being cheap, I'm rating pricing for the solution a four. It could still be cheaper because right now, my company has a small team, and sometimes it's difficult to use a paid product for a small team. You'd hope the team will grow and scale, but currently, you're paying a high license fee for a small team. I'm referring to the GitLab license that has premium features and will give you all features. This can be a problem for management to approve the high price of the license for a team this small."

"The solution's pricing is acceptable."

"The solution is based on a subscription model and is reasonably priced."

"Its price is fine. It is on the cheaper side and not expensive. You have to pay additionally for GitLab CI/CD minutes. Initially, we used the free version. When we ran out of GitLab minutes, we migrated to the paid version."

"My company uses the free version of GitLab, which is GitLab Community Edition. There is a licensed version also available for GitLab."

More GitLab pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

29%

Computer Software Company

11%

Insurance Company

11%

Healthcare Company

10%

Financial Services Firm

14%

Computer Software Company

12%

Government

11%

Manufacturing Company

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	10
Large Enterprise	46

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 setup cost was moderate and not very high. For GitLab SaaS, the initial setup cost was minimal, while self-managed GitLab involved infrastructure, VM storage backups, runner configuration, and ...

What needs improvement with GitLab?

A pain point I have encountered with GitLab is that large GitLab-ci.yml files become hard to read and maintain. YAML syntax is strict, and errors are easy to make, while debugging pipeline logic ca...

CloudBees vs Digital.ai Release

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Product Reports

Digital.ai Release

Download Digital.ai Release product report

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Also Known As

XL Release, XebiaLabs XL Release

Fuzzit

Overview

Automate, orchestrate, and gain visibility into your release pipelines at scale using Digital.ai Release, a release management tool that is designed for enterprises. Control and track releases, standardize processes, and bake compliance and security into your software release pipelines.

Digital.ai

GitLab offers a secure and user-friendly platform for CI/CD pipeline management, code repository control, and collaboration, enhancing development speed and efficiency. It facilitates automation with extensive customization and tool integration, ideal for DevOps processes.

GitLab supports source code management, version control, and collaborative development. It's frequently used in CI/CD processes to automate builds and deployments while integrating DevOps practices. GitLab allows companies to manage repositories, automate pipelines, conduct code reviews, and maintain development lifecycles. The platform supports infrastructure and configuration management, enabling efficient code collaboration, deployment automation, and comprehensive repository handling. Many organizations commit and deploy developed code using GitLab's capabilities.

What are GitLab's most valuable features?

CI/CD Pipeline Management: Streamlines development through automated testing and deployment.
User-Friendly Interface: Ensures ease of collaboration and task automation.
Code Merging and Branching: Facilitates smooth code integration and version control.
Security Platform: Provides strong security features for safe development.
Tool Integration: Enhances functionality with diverse tool integration.

What benefits should users evaluate?

Development Speed: Accelerates processes through automation.
Collaboration Ease: Simplifies team interactions and workflow.
Customization Options: Offers extensive personalization for specific needs.
Comprehensive Documentation: Provides detailed guidance for users.
Secure Platform: Maintains integrity with robust security features.

In specific industries, GitLab serves as a backbone for source code management and CI/CD implementation. Companies leverage its capabilities for infrastructure management and deployment automation, thus streamlining project delivery timelines. Its ability to handle configuration management and code repositories effectively aids in maintaining development lifecycles, making it a preferred choice for organizations committed to enhancing their DevOps practices.

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

Digital.ai Release vs. GitLab