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Digital.ai Release vs GitLab comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.5
Digital.ai Release improved deployment speed and accuracy, reduced staffing needs, and streamlined operations without reducing tools or staff.
Sentiment score
6.3
GitLab boosts ROI by enhancing DevOps performance, reducing deployment time, and facilitating frequent, efficient, and agile releases.
Digital.ai Release has reduced the error rate up to 80%.
Cloud Platform at Futurescape
The best part is standardizing things, which in the long term will help me reduce costs and improve efficiency.
Application Architect at a insurance company with 1,001-5,000 employees
Migrating to GitLab is bringing time-saving benefits, and everything is easier to automate.
IT Manager at a tech company with 5,001-10,000 employees
We have saved time significantly, reducing deployment time from four hours to five minutes per deployment.
IT Software Architect at ANAC - Autorità Nazionale Anticorruzione
In terms of operational efficiency, a ten to twenty percent increase in speed could quite easily be seen from using the Issues and Epics tracking feature.
Cloud Ops Lead at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.4
Digital.ai Release offers reliable customer support, ensuring high availability and effective issue resolution for large multinational organizations.
Sentiment score
6.6
GitLab support is praised for responsiveness, with community forums aiding open-source users; license impacts direct support access.
Regarding tech support from Digital.ai Release, I would rate them high because as a big multinational company working with people's money, it is crucial to have support, high availability, data integrity, and security, which this product ticks all the boxes.
Software Configuration Specialist at a insurance company with 10,001+ employees
We have a release team to help us with Digital.ai Release.
Application Architect at a insurance company with 1,001-5,000 employees
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
AWS DevOps/ Site Reliability Engineer at a tech services company with 10,001+ employees
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
Platform Engineer & Manager at a computer software company with 51-200 employees
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
IT Manager at a tech company with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
6.2
Digital.ai Release is scalable with some hardware limitations, lacking auto-scaling, yet performs well in diverse deployments.
Sentiment score
7.3
GitLab is praised for scalability and flexibility in deployment, with some challenges in on-premises setups, requiring specific skills.
Digital.ai Release's scalability seems to be adequate.
Application Architect at a insurance company with 1,001-5,000 employees
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
Senior Application Developer at IBM
We're transitioning to OpenShift for future scalability with increased user numbers.
Platform Engineer & Manager at a computer software company with 51-200 employees
For scaling, other deployment options from GitLab's side need to be adopted.
Manager, Engineering at a retailer with 10,001+ employees
 

Stability Issues

Sentiment score
7.9
Digital.ai Release is stable and reliable, with minor errors often attributed to less stable deployment environments like IBM WebSphere.
Sentiment score
8.2
GitLab is praised for high stability, minimal issues, and effective support, maintaining reliability across diverse setups.
My overall impression of the stability of Digital.ai Release is that it is good, although my problem lies with where we deploy to, which is currently not stable at the moment.
Software Configuration Specialist at a insurance company with 10,001+ employees
Digital.ai Release is very stable from my perspective.
Release Manager at a consultancy with 201-500 employees
I have not encountered any performance or stability issues with GitLab so far.
AWS DevOps/ Site Reliability Engineer at a tech services company with 10,001+ employees
The updates are frequent and demanding, happening at least once a week due to security reasons.
Chief Technology Officer at Acclym
We raised a request with GitLab support, but they were unable to help because they could not find the root cause of what went wrong.
Assistant Manager at a tech vendor with 10,001+ employees
 

Room For Improvement

Digital.ai Release requires UI improvements, better onboarding, enhanced automation, integration options, and flexible pricing to optimize user experience.
GitLab should enhance cloud integration, UI, documentation, and tool integration while improving performance, simplicity, pricing, and security options.
If we had an API that could be used on the user side, similar to the one in JIRA where we can create a personal token without granting full access to Digital.ai Release, I could have my script automate the process instead of fulfilling the template field by field, which would be excellent.
Release Manager at a consultancy with 201-500 employees
New users may take time to understand release pipelines and templates, so more guided onboarding tutorials and documentation would help them adapt easily.
Cloud Platform at Futurescape
I would appreciate standardized training material that would give me hands-on experience.
Application Architect at a insurance company with 1,001-5,000 employees
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
IT Manager at a tech company with 5,001-10,000 employees
It is essential to conduct proper testing, such as unit tests and code coverage, within the SDLC pipelines.
Manager, Engineering at a retailer with 10,001+ employees
GitLab can improve its user interface to make conflict resolution more user-friendly.
Senior Application Developer at IBM
 

Setup Cost

GitLab provides flexible pricing with valued features but may seem costly for larger teams, offering free and premium options.
Digital.ai Release is affordable in terms of pricing and setup cost.
Cloud Platform at Futurescape
Even when working in other small organizations, we opted for GitLab as it was cost-efficient.
Senior Application Developer at IBM
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
IT Manager at a tech company with 5,001-10,000 employees
The price is high, and it limits user accessibility.
IT Software Architect at ANAC - Autorità Nazionale Anticorruzione
 

Valuable Features

Digital.ai Release offers orchestration, automation, template reusability, and integration, enhancing release efficiency with real-time notifications and role-based approvals.
GitLab excels in CI/CD, integration, security, and collaboration with features like unique merge requests and role-based access control.
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.
Software Configuration Specialist at a insurance company with 10,001+ employees
Digital.ai Release standardizes the release process across teams.
Cloud Platform at Futurescape
Involving both infrastructure and application teams in the same pipeline has genuinely helped my process, as we have one specific person starting the pipeline, another approving it, and another coordinating as DevOps or monitoring all processes from the infrastructure side, providing excellent assistance because we have different and clearly separated responsibilities.
Release Manager at a consultancy with 201-500 employees
As we implement automated testing and DevSecOps, it speeds up the process by forty to sixty percent.
Platform Engineer & Manager at a computer software company with 51-200 employees
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
IT Software Architect at ANAC - Autorità Nazionale Anticorruzione
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.
Manager, Engineering at a retailer with 10,001+ employees
 

Categories and Ranking

Digital.ai Release
Ranking in Build Automation
15th
Ranking in Release Automation
9th
Ranking in DevSecOps
6th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
No ranking in other categories
GitLab
Ranking in Build Automation
2nd
Ranking in Release Automation
2nd
Ranking in DevSecOps
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Application Security Tools (6th), Static Application Security Testing (SAST) (4th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (4th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd)
 

Mindshare comparison

As of June 2026, in the Build Automation category, the mindshare of Digital.ai Release is 2.8%, up from 0.9% compared to the previous year. The mindshare of GitLab is 6.8%, down from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
GitLab6.8%
Digital.ai Release2.8%
Other90.4%
Build Automation
 

Featured Reviews

reviewer1442733 - PeerSpot reviewer
Application Architect at a insurance company with 1,001-5,000 employees
Standardized releases have reduced errors and now streamline our cloud resource management
To improve Digital.ai Release, I think the user interface could be improved. For example, I have a plan phase before my build phase, and sometimes the toggle button is hidden. I have to toggle it before the step can be executed, or it will be skipped. Many people who did not use Digital.ai Release before do not even know there is a toggle button, and the first time when they run into that phase, they will definitely skip that step. Regarding needed improvements, I did not do extensive reading on documentation or training material directly from Digital.ai Release. My knowledge comes from the team who has been using it. However, I would appreciate standardized training material that would give me hands-on experience.
BasilJiji - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
9%
Computer Software Company
9%
Insurance Company
9%
Financial Services Firm
14%
Manufacturing Company
11%
Government
9%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business38
Midsize Enterprise10
Large Enterprise49
 

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Release ?
Digital.ai Release is affordable in terms of pricing and setup cost. The integration was easy, and the pricing was good, though not ideal for small teams.
What needs improvement with Digital.ai Release ?
One improvement for Digital.ai Release could be to simplify the user interface for beginners. New users may take time to understand release pipelines and templates, so more guided onboarding tutori...
What is your primary use case for Digital.ai Release ?
Digital.ai Release orchestrates and automates the application release pipelines in our organization. When a new application build is ready, Digital.ai Release coordinates the deployment pipeline au...
What is your experience regarding pricing and costs for GitLab?
The setup cost for GitLab is minimal since the team has its own minimal resource balancing. The costing falls into an intermediate stage and is impactful across all results within the team. It allo...
What needs improvement with GitLab?
There are many improvements that GitLab can implement, such as addressing the issue of caching. Currently, when I have multiple tasks to merge or attempt multiple merges, the CI/CD and overall GitL...
What is your primary use case for GitLab?
My main use case for GitLab is as a version control system that we are using. Currently, I am working on an end-to-end AI pipeline, and I have deployed my whole code using GitLab so that all things...
 

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: May 2026.
900,644 professionals have used our research since 2012.