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

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Helped 849,190 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

17th

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

7.2

Number of Reviews

Ranking in other categories

Application Security Tools (9th), Static Application Security Testing (SAST) (7th), Rapid Application Development Software (12th), Software Composition Analysis (SCA) (5th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd)

Mindshare comparison

As of April 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 16.6%, down from 18.5% 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…

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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.

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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."

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

"I like GitLab from the CI/CD perspective. It is much easier to set up CI/CD and then integrate with other tools."

"The best thing is that as the developers work on separate tasks, all of the code goes there and the other team members don't have to wait on each other to finish."

"We like that we can create branches and then the branches can be reviewed and you can mesh those branches back. You can independently work with your own branch, you don't need to really control the core of other people."

"A user friendly solution."

"The important feature is the entire process of versioning source code maintenance and easy deployment. It is a necessity for the CI/CD pipeline."

"I like that you can use GitLab as a double-sided solution for both DevOps and version management. It's a good product for working in these two areas, and the user interface makes it easy to understand."

"We use the Git repository and tagging feature. We are a product-based company and use this solution to move to a forward or backward tag."

"The CI/CD process is very efficient."

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."

"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 solution is a little bit expensive."

"When deploying the solution on cloud and the CI/CD pipeline, we have to define the steps and it becomes confusing."

"The integration and storage capabilities could be better."

"It's more related to the supporting layer of features, such as issue management and issue tracking. We tend to always use, for example, Jira next to it. That doesn't mean that GitLab should build something similar to Jira because that will always have its place, but they could grow a bit in those kinds of supporting features. I see some, for example, covering ITSM on a DevOps team level, and that's one of the things that I and my current client would find really helpful. It's understandably not going to be their main focus and their core, and whenever you are with a company that needs a bit more advanced features on that specific topic, you're probably still going to integrate with another tool like Jira Service Management, for example. However, some basic features on things like that could be really helpful."

"The solution should be more cloud-native and have more cloud-native capabilities and features."

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

"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."

"Reporting could be improved."

"We'd like to see better integration with the Atlassian ecosystem."

More GitLab cons

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."

"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."

"The open-source version is very good and the commercial version is reasonably priced."

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

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

"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."

"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."

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

More GitLab pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

48%

Financial Services Firm

23%

Computer Software Company

10%

Healthcare Company

Educational Organization

24%

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...

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Product Reports

Digital.ai Release

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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 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

Digital.ai Release vs. GitLab