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: March 2026).

Digital.ai Release vs. GitLab

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Helped 884,873 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 (9th), Static Application Security Testing (SAST) (7th), Rapid Application Development Software (10th), Software Composition Analysis (SCA) (4th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd)

Mindshare comparison

As of March 2026, in the Build Automation category, the mindshare of Digital.ai Release is 2.3%, up from 0.7% compared to the previous year. The mindshare of GitLab is 8.4%, down from 17.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation Mindshare Distribution
Product	Mindshare (%)
GitLab	8.4%
Digital.ai Release	2.3%
Other	89.3%

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

"The most valuable features of GitLab are the CI/CD pipeline and code management."

"It scales well."

"A user friendly solution."

"GitLab has positively impacted my organization because previously we stored code locally on servers, leading to many risks, and since GitLab came into our environment, our integration and deployments became much easier, helping our work become much smoother."

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

"GitLab is a solution for source code management, container registry, pipelines, testing, and deployment."

"If you want to maintain your issues in GitLab and raise your book of work and features, then GitLab is a great tool for collaboration and integration with code deployment and CICD pipelines."

"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."

More GitLab pros

Cons

"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."

"The solution is a little bit expensive."

"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."

"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."

"Regarding improvements, making task management is something that GitLab can potentially make easier, similar to what DevOps or Jira does."

"We have only seen a couple of issues on Gitlab, which we use for building some of the applications."

"Their RBAC is role-based access, which is fine but not very good."

"The integration and storage capabilities could be better."

"I would like configuration of a YML file to be done via UI rather than a code file."

"I've noticed an area for improvement in GitLab, particularly needing to go through many steps to push the code to the repository. Resolving that issue would make the product better. My team quickly fixed it by writing a small script, then double-clicking or enabling the script to take care of the issue. However, that quick fix was from my team and not the GitLab team, so in the next release, if an automatic deployment feature would be available in GitLab, then that would be good because, in Visual Studio, you can do that with just one click of a button."

"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."

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."

"I'm not aware of the licensing costs because those were covered by the customer."

"The initial setup cost is excellent and you can add the premium features later."

"I'm not sure if they have some kind of discount. I've been negotiating with them on prices before, and I believe they weren't too happy to give discounts, but list prices are $19 per user, per month for Premium and $99 per user, per month for Ultimate. So, the difference between Premium and Ultimate is a bit bigger, and in most companies, you need to build some type of business case."

"GitLab is highly priced for smaller teams, but it's okay if considering a user base of thousands."

"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the pricing a five out of ten."

"There are different licensing options available, including a free limited-user license."

"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."

"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."

More GitLab pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

11%

Insurance Company

10%

Manufacturing Company

10%

Financial Services Firm

14%

Manufacturing Company

11%

Computer Software Company

11%

Government

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

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...

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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