Digital.ai Agility vs GitLab comparison

Read 91 GitLab reviews

25,686 Views
9,247 Comparison Views

97% willing to recommend

Digital.ai Agility

Comparison Buyer's Guide

Download the report

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: September 2026).

Digital.ai Agility vs. GitLab

Download the complete report

Helped 914,351 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

7th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Application Lifecycle Management (ALM) Suites (14th), Value Stream Management Software (4th)

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 (8th), Build Automation (3rd), 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 September 2026, in the Release Automation category, the mindshare of Digital.ai Agility is 2.2%, up from 1.7% compared to the previous year. The mindshare of GitLab is 21.4%, down from 28.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Mindshare Distribution
Product	Mindshare (%)
GitLab	21.4%
Digital.ai Agility	2.2%
Other	76.4%

Release Automation

Featured Reviews

JaiBharath Boithi

Data Scientist at a tech vendor with 51-200 employees

Agile planning has improved daily coordination but reporting and dashboards still need more flexibility

I would like to see more advanced reporting and analytics customization. The existing dashboards are useful for tracking velocity, backlog, and delivery, but deeper real-time insights would improve decision-making. I would also like simpler integrations and more flexibility, especially across large teams and complex projects. Another improvement I would like is more flexible reporting and dashboard customization, especially for creating organization-specific metrics. More intuitive visualizations would also help. Digital.ai Agility can be improved mainly by making reporting and dashboard customization more flexible and intuitive. I would also like simpler integrations with third-party tools and easier configurations of automated workflows. Better dependency visualizations and real-time alerts for delivery risk would help large teams identify blockers earlier. The user interface could also be simplified to make it easier for new users. Overall, these improvements would make day-to-day planning, reporting, and cross-team coordination more efficient. There are a few areas where improvements are needed. I would like to see further improvements in user experience and navigation, especially making commonly used features easier to access for new users. More intuitive dashboard customization, better dependency visualization, and simpler third-party integrations would also help.

Read full review

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.

Read full review

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."

"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."

"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."

"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."

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

"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."

"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."

More Digital.ai Agility pros

"Git merging allows us to track the details of how and who has done what; this is the best feature which is useful for all companies."

"Of all available products, it was the easiest to use and easy to install."

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

"The scalability is good."

"For us, Gitlab's most valuable feature is the integration with Cypress. We're using Cypress as an automation tool, so we're using GitLab as a tool for running in parallel."

"We like the automatic deployment for different environments."

"This is a scalable solution. We had around 200 users working with it."

"GitLab's best features are maintenance, branch integration, and development infrastructure."

More GitLab pros

Cons

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

"The user interface could also be simplified to make it easier for new users."

"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."

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

"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 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."

"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 could be faster."

"The documentation in GitLab could be improved a bit."

"We would like to have easier tutorials. Their tutorials are too technical for a user to understand. They should be more detailed but less technical."

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

"GitLab could improve the patch repository. It does not have support for Conan patch version regions. Additionally, better support for Kubernetes deployment is needed as part of the package."

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

"At this point, I think the features are declining."

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."

"It seems reasonable. Our IT team manages the licenses."

"We are using the free version of GitLab."

"I'm not aware of the licensing costs because those were covered by the customer."

"The solution's pricing is acceptable."

"The price is okay."

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

"This is an open-source solution."

"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."

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.

See recommendations

914,351 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

13%

Insurance Company

10%

Construction Company

Outsourcing Company

Financial Services Firm

13%

Manufacturing Company

11%

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
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?

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

I primarily use Digital.ai Agility for Agile project management, sprint planning, backlog management, and tracking team progress and deliveries. We use Digital.ai Agility for Agile project and port...

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

I can advise others to use Digital.ai Agility for organizations. It is good for enterprise-level Agile planning across multiple teams and portfolios. Before implementing it, I would suggest startin...

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 12% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

Jira Align vs Digital.ai Agility

Compared 5% of the time

More Digital.ai Agility Competitors

Microsoft Azure DevOps vs GitLab

Compared 30% of the time

SonarQube vs GitLab

Compared 2% of the time

Jenkins vs GitLab

Compared 2% of the time

Veracode vs GitLab

Compared 2% of the time

Snyk vs GitLab

Compared 2% of the time

More GitLab Competitors

Product Reports

Digital.ai Agility

Download Digital.ai Agility product report

Download GitLab product report

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