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 902,456 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

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

"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."

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

"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."

"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."

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

"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

"The solution's most valuable features are pipelines."

"The most valuable features of Gitlab are integration with CIE and the ability to rapidly deploy solutions, projects, and applications. It is very easy to use, and there are no complaints."

"We compared this solution with Atlassian, which has Bitbucket, and we felt GitLab is a little easier to use."

"We have seen a couple of merge requests or pull requests raised in GitLab. I see the interface, the way it shows the difference between the two source codes, that it is easy for anyone to do the review and then accept the request; the pull request is the valuable feature."

"We also found the straightforward setup, stability, and scalability of GitLab valuable."

"GitLab's source control is excellent."

"GitLab has positively impacted my organization by being faster than other platforms and providing the best user interface and features."

"GitLab has better support, and its features are superior compared to Jenkins."

More GitLab pros

Cons

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

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

"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."

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

"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."

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

"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."

"While GitLab is a great tool for developers, it lacks project planner features. Roadmaps and Gantt charts in GitLab are not as advanced as in Jira, and changing start and end dates is more laborious in GitLab."

"It would be really good if they integrated more features in application security."

"Atlassian offers more products than GitLab. GitLab offers source control management, version control and collaboration between developers. Atlassian offers features on top of this as well as more integration points for developers."

"Their RBAC is role-based access, which is fine but not very good."

"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 GitLab processes get slower."

"From the DevOps perspective, the way we deploy applications is too complicated. It needs to be simplified."

"GitLab can improve the integration with third-party applications. It could be made easier. Additionally, having API control from my application could be helpful."

"As GitLab is not perfect, what needs improvement in the solution is the Wiki feature of the groups or the repertories because currently, it's not searchable by default. You'll need an indexing service such as Elasticsearch to make it searchable, and that requires too much work, so for me, it's the main feature that should be improved in GitLab. In the next version of the solution, from the top of my head, the documentation could be improved. Besides the Wiki, it would be good if there's documentation that would be automatically generated based on the code repository. In other words, there should be some tutorials from GitLab for developers in the next release."

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 subscription model and is reasonably priced."

"GitLab is cheap."

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

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

"We are using the free version of GitLab."

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

"GitLab's pricing is good compared to others on the market."

"GitLab is a free solution to use."

More GitLab pricing and cost advice

See which vendors are best for you

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 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