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: April 2025).

Digital.ai Release vs. GitLab

April 2025

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Helped 850,671 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

19th

Ranking in Release Automation

12th

Ranking in DevSecOps

12th

Average Rating

8.2

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

3rd

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Application Security Tools (9th), Static Application Security Testing (SAST) (7th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (5th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd)

Mindshare comparison

As of May 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.8%, down from 1.0% compared to the previous year. The mindshare of GitLab is 15.9%, down from 18.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation

Featured Reviews

Navanath Gajare

DevOps Tech Lead at a financial services firm with 5,001-10,000 employees

Effectively automates deployments and applies one template across applications

Our company uses the solution to handle deployments for new releases. Whenever there is a new release, the solution creates a new provision template for deployment. We also orchestrate and manage all users. We integrate with other tools like GitHub, Jenkins, or Digital.ai Deploy to manage…

Read full review

Gaurav Chandel

AWS DevOps/ Site Reliability Engineer at Tata Consultancy

Boosted productivity with automated pipelines and seamless collaboration

There are some challenges with repository file management as GitLab may struggle to manage larger files. Improvements could be made regarding size management and file partitioning. Also, the UI has remained the same for a couple of years and could benefit from an update with AI features and better customization.

Read full review

Quotes from Members

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

Pros

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

"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 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."

"GitLab's source control is excellent."

"The user interface is really good so that helps with huge teams who need to collaborate."

"I like GitLab's security and SAS tools."

"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."

"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 offers a good interface for doing code reviews between two colleagues."

"The solution's service delivery model is fantastic."

"As a developer, this solution is useful as a repository holder because most of the POC projects that we have are on GitLab."

More GitLab pros

Cons

"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."

"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."

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

"We are having a few problems integrating with Jira at the moment, which is something that our IT department is investigating."

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

"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."

"Reporting could be improved."

"The documentation could be improved to help newcomers better understand things like creating new branches."

"The price of GitLab could improve, it is high."

"We would like to generate document pages from the sources."

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."

"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."

"The solution's pricing is acceptable."

"The price of GitLab could be better, it is expensive."

"We are using the free version of GitLab."

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

"I think that we pay approximately $100 USD per month."

"The solution is free."

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

More GitLab pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

45%

Financial Services Firm

24%

Computer Software Company

10%

Healthcare Company

Educational Organization

22%

Financial Services Firm

12%

Computer Software Company

12%

Manufacturing Company

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 ?

There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...

What is your primary use case for Digital.ai Release ?

It helps with creating documentation, release processes, deploying to lower environments, scheduling meetings, and sending emails to stakeholders. The goal is to reduce manual work and save time.

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 of GitLab is reasonable, aligning with what I consider to be average compared to competitors.

What needs improvement with GitLab?

Certain features in Jira are not available in GitLab, such as the functionality to have weights at the milestone and epic levels. Hopefully, these features will be resolved with work items in GitLa...

Jenkins vs Digital.ai Release

Comparisons

Compared 60% of the time

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Product Reports

Download Digital.ai Release product report

Digital.ai Release

May 2025

Download GitLab product report

April 2025

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 is a complete DevOps platform that enables teams to collaborate and deliver software faster.

It provides a single application for the entire DevOps lifecycle, from planning and development to testing, deployment, and monitoring.

With GitLab, teams can streamline their workflows, automate processes, and improve productivity.

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