Digital.ai Agility vs GitLab comparison

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Digital.ai Agility

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Executive SummaryUpdated on Dec 18, 2024

Digital.ai Agility and GitLab are competitive tools in software development and project management. GitLab appears to have the upper hand due to its comprehensive features and higher user value.

Features:Digital.ai Agility provides project and portfolio management, integration within agile practices, and "what if" capabilities to evaluate project changes. GitLab is notable for its CI/CD tools, containerized approaches, and consolidated development environments that enhance team collaboration.

Room for Improvement:Digital.ai Agility could expand customization options, enhance reporting capabilities, and improve integration with third-party tools. GitLab might benefit from simplifying its user interface, increasing automation features, and offering better documentation for advanced use.

Ease of Deployment and Customer Service:Digital.ai Agility has a streamlined deployment and support system conducive to agile adaptation. GitLab offers straightforward deployment with extensive documentation and a robust community, facilitating easier maintenance and support.

Pricing and ROI:Digital.ai Agility presents competitive pricing, aligning with agile setups for cost efficiency. GitLab, while higher in initial cost, provides extensive features for a greater long-term ROI, driven by improved efficiencies and comprehensive utilities.

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

Digital.ai Agility vs. GitLab

April 2026

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Helped 893,244 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 Agility

Ranking in Release Automation

12th

Ranking in Enterprise Agile Planning Tools

9th

Average Rating

8.6

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Application Lifecycle Management (ALM) Suites (15th), Value Stream Management Software (6th)

GitLab

Ranking in Release Automation

2nd

Ranking in Enterprise Agile Planning Tools

2nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Security Tools (7th), Build Automation (1st), Static Application Security Testing (SAST) (4th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (4th), Fuzz Testing Tools (2nd), DevSecOps (1st)

Mindshare comparison

As of May 2026, in the Release Automation category, the mindshare of Digital.ai Agility is 1.9%, up from 1.1% compared to the previous year. The mindshare of GitLab is 25.3%, down from 32.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Mindshare Distribution
Product	Mindshare (%)
GitLab	25.3%
Digital.ai Agility	1.9%
Other	72.8%

Release Automation

Featured Reviews

Abhishek Kumar Singh

Workload Automation at nab

Automating dashboards has saved time and now supports prompt-driven task workflows

My main use case for Digital.ai Agility is learning to create a dashboard and prompt engineering. I am trying to automate my tasks by automating the dashboard The best feature Digital.ai Agility offers me so far is that I write a prompt and receive the result for that. I see the time saving with…

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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 most valuable thing is kind of the whole package together."

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."

"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."

"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."

"The solution is excellent for collaboration; from the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively."

"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."

"It allows my clients to have one central tool to manage their agile projects."

"Digital.ai Agility helped our organization define the Enterprise Value Streams, and in the tool you can derive all user stories, features, and epics from the top-level portfolio items and value streams so any work that is done must contribute to the value streams, otherwise it should be questioned why that effort is being executed."

More Digital.ai Agility pros

"GitLab is kind of an image of GitHub, so it gives us the flexibility to monitor our changes in the repos."

"It scales well."

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

"It speeds up our development, it's faster, safer, and more convenient."

"I was satisfied with the support."

"We have been using this solution for more than five years, and it is deployed on cloud."

"The source-code repository is great, I really like the pipelines, and the stability is good."

"The most valuable features of Gitlab are integration with CIE and the ability to rapidly deploy solutions, projects, and applications."

More GitLab pros

Cons

"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function."

"Improve how to create and track releases. Currently, I have to create child projects."

"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

"Improve how to create and track releases. Currently, I have to create child projects."

"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

"It was not supporting some plugins. We wanted to migrate data that we were already using."

More Digital.ai Agility cons

"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."

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

"The initial setup was quite challenging because it takes some time to understand how to pull out or push the code."

"This solution could be improved by adding modifications such as slack notifications."

"The pricing model of GitLab is an issue for me."

"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."

"For as long as I have used GitLab, I haven't encountered any major limitations. However, I think that perhaps the search functionality could be better."

"One of my colleagues got in touch with them, and his response was that their technical support was not that great. The details that they provided for the question were not that great."

More GitLab cons

Pricing and Cost Advice

"Comparing the pricing to other products, I think this solution is in the middle."

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."

"This product is not very expensive but the price can be better."

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

"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 is based on a licensing model that includes technical support and is paid annually."

"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."

"This is an open-source solution."

"The price is okay."

"We are using the free version of GitLab."

More GitLab pricing and cost advice

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Use our free recommendation engine to learn which Release Automation solutions are best for your needs.

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Top Industries

By visitors reading reviews

Manufacturing Company

15%

Insurance Company

14%

Financial Services Firm

Construction Company

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

10%

Government

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	37
Midsize Enterprise	11
Large Enterprise	46

Questions from the Community

What needs improvement with Digital.ai Agility?

The response from Digital.ai Agility is a little bit slow and could be faster.

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

My main use case for Digital.ai Agility is learning to create a dashboard and prompt engineering. I am trying to automate my tasks by automating the dashboard.

What advice do you have for others considering Digital.ai Agility?

You can use Digital.ai Agility for automating your tasks and creating your dashboard. I would rate this product an 8.

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...

Jira vs Digital.ai Agility

Comparisons

Compared 15% of the time

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Compared 7% of the time

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Compared 7% of the time

TFS vs Digital.ai Agility

Compared 7% of the time

Jira Align vs Digital.ai Agility

Compared 7% of the time

More Digital.ai Agility Competitors

Microsoft Azure DevOps vs GitLab

Compared 45% of the time

Tekton vs GitLab

Compared 2% of the time

SonarQube vs GitLab

Compared 2% of the time

TeamCity vs GitLab

Compared 2% of the time

Jenkins vs GitLab

Compared 2% of the time

More GitLab Competitors

Product Reports

Download Digital.ai Agility product report

Digital.ai Agility

May 2026

Download GitLab product report

May 2026

Also Known As

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum

Fuzzit

Overview

Digital.ai Agility provides powerful visualization, automation, multiple planning levels, and integration capabilities, promoting efficient task management and organizational alignment.

Digital.ai Agility efficiently supports development tasks, facilitating agile frameworks like Scrum, Kanban, and SAFe. It offers strong collaboration features, automation capabilities, and seamless integrations. While it could improve its machine learning and analytics integration, it enables planning release automation and backlog management, assisting in strategic theme definition and linking portfolio items. Its sprint functionality, value stream creation, and team velocity calculations stand out for users.

What critical features does Digital.ai Agility offer?

Visualization: Robust tools to create clear development roadmaps.
Automation: Reduces manual effort and enhances workflow efficiency.
Integration: Supports integration with tools like Jira and Azure DevOps.
Planning Levels: Manages multiple iteration plans and "what if" scenarios.

What benefits should users expect?

Team Productivity: Supports agile frameworks and reduces plugin needs.
Goal Alignment: Links development tasks with strategic objectives.
Collaboration: Enhances teamwork with effective Scrum boards.
Flexibility: Facilitates transitions from other platforms.

Digital.ai Agility is widely used across industries for deployment standardization and release automation. It helps organizations manage backlogs and create intuitive dashboards, enabling them to adapt to different project management methodologies, suitable for both software and non-software teams.

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

Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines

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