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: June 2026).

Digital.ai Agility vs. GitLab

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Helped 900,747 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 (6th), Build Automation (2nd), 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 June 2026, in the Release Automation category, the mindshare of Digital.ai Agility is 2.1%, up from 1.4% compared to the previous year. The mindshare of GitLab is 24.3%, down from 30.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Mindshare Distribution
Product	Mindshare (%)
GitLab	24.3%
Digital.ai Agility	2.1%
Other	73.6%

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

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

"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."

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

"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."

"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."

"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."

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

"VersionOne delivers a total ALM solution for whether you are operating a single team, like Scrum and Kanban for IT operations, or implementing an agile enterprise approach, like SAFe."

More Digital.ai Agility pros

"Git hosting has an integration with ACD which is why we liked this solution in the first place."

"It is a speedy platform compared to the others I have used, and I have also enjoyed using the platform as this solution offers a good user experience."

"CI/CD and GitLab scanning are the most valuable features."

"Key features allow creation of well-presented Wiki that includes ideas, development, and domains."

"The solution is valuable for developers because it includes version controlling, pipelines, CI/CD, and integrations."

"The solution makes the CI/CD pipelines easy to execute."

"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."

"I recommend GitLab for DevOps engineers."

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. That presents a huge challenge between their IT groups."

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

"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."

"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."

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

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

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

"In my experience, GitLab is stable; however, sometimes it takes much time to start the runner and gets stuck in a pending situation, possibly due to traffic issues."

"Its security features are very expensive. The Ultimate version is very expensive."

"I don't really like the new Kubernetes integration because it is pretty focused on the on-premise environment, but we're in a hybrid environment."

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

"I've noticed an area for improvement in GitLab, particularly needing to go through many steps to push the code to the repository."

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

"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."

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."

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

"GitLab is an open-source solution."

"We are using its free version, and we are evaluating its Premium version. Its Ultimate version is very expensive."

"GitLab is a free solution to use."

"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."

"As I work in a vast enterprise, I'm unsure about the licensing cost for GitLab. It's the management team that takes care of that."

"My company uses the free version of GitLab, which is GitLab Community Edition. There is a licensed version also available for GitLab."

"In total, I believe we have more than 300 licenses spread over about 100 users, though I can't comment on the costs involved."

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

13%

Insurance Company

12%

Construction Company

10%

Financial Services Firm

14%

Manufacturing Company

11%

Government

Computer Software Company

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	38
Midsize Enterprise	10
Large Enterprise	49

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

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Compared 41% of the time

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Compared 2% of the time

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Compared 2% of the time

Jenkins vs GitLab

Compared 2% of the time

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Compared 2% of the time

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Product Reports

Digital.ai Agility

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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

Digital.ai Agility vs. GitLab