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Digital.ai Agility vs Microsoft Azure DevOps comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 15, 2024

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 Application Lifecycle Management (ALM) Suites
16th
Ranking in Release Automation
12th
Ranking in Enterprise Agile Planning Tools
11th
Average Rating
8.6
Reviews Sentiment
6.1
Number of Reviews
6
Ranking in other categories
Value Stream Management Software (4th)
Microsoft Azure DevOps
Ranking in Application Lifecycle Management (ALM) Suites
2nd
Ranking in Release Automation
1st
Ranking in Enterprise Agile Planning Tools
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
136
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.4%, up from 1.5% compared to the previous year. The mindshare of Microsoft Azure DevOps is 10.3%, down from 19.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Lifecycle Management (ALM) Suites Market Share Distribution
ProductMarket Share (%)
Microsoft Azure DevOps10.3%
Digital.ai Agility2.4%
Other87.3%
Application Lifecycle Management (ALM) Suites
 

Featured Reviews

PM
Lead Consultant at Innovation Roots
Collaboration and setup efficiency stand out, though integration and local support need improvement
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 Scrum teams, it is particularly good and easy to set up. With respect to sprints and getting metrics out, such as velocity and related measurements, the functionality is robust. The Scrum boards are particularly effective. Based on my colleague's exploration and setup, I observed how easily the team was able to use it. The integration with that tool was particularly helpful.
Bharadwaj Deepak Mohapatra - PeerSpot reviewer
DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED
Have built reliable end-to-end pipelines and streamlined cloud provisioning through consistent collaboration practices
I am currently working with open-source tools such as Jenkins for my main CI/CD pipeline, and for enterprise clients, I am using Microsoft Azure DevOps CI/CD pipeline. For other clients, I have also implemented CI/CD YAML pipelines through GitLab CI/CD workflow and GitHub Actions. I am creating the end-to-end CI/CD pipeline from development to deployment and monitoring all of this. Azure Boards is easier than Jira for my understanding because there are very easy points to manage the Agile methodology which we work on. Because it is a GUI, sometimes the process may take a few minutes more than the CLI process since the backend is running the exact CLI, but we are commanding through the GUI. There is definitely a time lag, but it is more secure. Microsoft Azure DevOps pipelines work very seamlessly rather than other CI/CD pipelines, as of my understanding. The downside is that the process may take more time when deploying some clusters, Kubernetes, Azure AKS service, or some vast microservice architecture deployments. There may be a little bit of lag I feel, though I cannot tell very strictly that this is a disadvantage, but sometimes it takes a little more time than other cloud infrastructures. All the major things are done by GUI, which is somewhat a little slow. However, if considering automations, process, monitoring, and provisioning, then it is the best cloud service across all the other service providers. Our implementation is a hybrid cloud. Microsoft Azure DevOps is definitely easily scalable. I have worked on many Kubernetes infrastructures and microservice deployments, and I have seen that replication is very good because it is very easy. The replication process is very straightforward. I definitely advocate for using less code because it is very time-consuming. If using GCP or Amazon Web Service, there is more interaction related to work over the CLI process. In terms of Microsoft Azure DevOps, there are many things done by the GUI, which is the best part.

Quotes from Members

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

Pros

"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 can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"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."
"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."
"You get a complete solution with Azure DevOps. You can do everything in one place, starting from requirement gathering until you release the product. It is a reliable, scalable, and handy product."
"The available Kanban board is the best feature for management decisions."
"Detailed logs allow us to pinpoint the exact cause of any issues, making troubleshooting efficient and accurate."
"Most developers and project managers choose the Microsoft tools to begin with because of familiarity, and these new tools are almost an extension of the tools you're already familiar with. There's a lot of knowledge transfer, which helps, rather than bringing in a new product line."
"I think the most usable thing is that you can follow the whole progress of the development process. This makes it very useful for us."
"I like the cloud infrastructure of Microsoft Azure DevOps."
"The pricing seems to be reasonable."
"Overall, so far we have no major issues to report."
 

Cons

"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."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"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."
"It was not supporting some plugins. We wanted to migrate data that we were already using."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"It should be able to handle the different types. There is ecosystems engineering, and there is software applications engineering. There is a need to bring these teams together, but the disciplines don't integrate very well, and so it won't work."
"I think that they have some menus there that are not very well placed."
"The testing environment and different pipelining concepts can be improved."
"The solution can improve by adding integration with on-premise tools. The only built-in repository options are GitHub and DevOps."
"They have brought a lot of new collaboration features in the latest version. We haven't used those features, but they should continue to expand it more on the collaboration front so that two developers can look at the code and work at the same time. It will be helpful for working from home."
"I can't think of anything I would like to improve, since I don't have complete knowledge of the platform yet. I'm sure that as I gain more experience, I will understand it better. The price could maybe be cheaper, but I'm sure I'll have more ideas as to improvements and additional features once I've used it more."
"Templates could be improved."
"One potential enhancement in Azure DevOps could be integrating more customizable reporting features, particularly for Power BI integration."
 

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 could maybe be cheaper. My organization handled licensing, so I'm not aware of which subscription they have."
"Microsoft Azure DevOps is an expensive solution."
"Licensing cost per user is approximately $11 to $15. We have about 400 users, but not all are active. We have around 200 to 300 active users."
"It's a good tool, quite rich, it has a lot of features, and quite a lot of analytical capabilities which are built on top of it so that you can see how your projects are going and all that stuff. It's a good tool."
"The majority of the components are reasonably priced."
"The solution costs $5 or $10 per user, per month."
"The solution is expensive."
"Most of the things that we need and use are incorporated in the corporate solution — there are no additional costs."
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Top Industries

By visitors reading reviews
Insurance Company
18%
Manufacturing Company
16%
Computer Software Company
10%
Financial Services Firm
8%
Manufacturing Company
14%
Computer Software Company
11%
Government
10%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise27
Large Enterprise69
 

Questions from the Community

What needs improvement with Digital.ai Agility?
It was not supporting some plugins. We wanted to migrate data that we were already using. The migration of data and getting it up and running from the legacy system took some time to get accustomed...
What is your primary use case for Digital.ai Agility?
We were explaining how to set up the project itself, which describes the main use cases for Digital.ai Agility. This includes how to set up the workflow and how to manage and build a Kanban. I want...
What advice do you have for others considering Digital.ai Agility?
Digital.ai Agility has a bigger reach because it has many good integration points. It can be a one-stop solution for different needs, eliminating the need to use multiple pieces of software. Howeve...
Which is better - Jira or Microsoft Azure DevOps?
Jira is a great centralized tool for just about everything, from local team management to keeping track of products and work logs. It is easy to implement and navigate, and it is stable and scalabl...
Which is better - TFS or Azure DevOps?
TFS and Azure DevOps are different in many ways. TFS was designed for admins, and only offers incremental improvements. In addition, TFS seems complicated to use and I don’t think it has a very fri...
What do you like most about Microsoft Azure DevOps?
Valuable features for project management and tracking in Azure DevOps include a portal displaying test results, check-in/check-out activity, and developer/tester productivity.
 

Also Known As

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum
Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps
 

Overview

 

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
Alaska Airlines, Iberia Airlines, Columbia, Skype
Find out what your peers are saying about Digital.ai Agility vs. Microsoft Azure DevOps and other solutions. Updated: December 2025.
879,477 professionals have used our research since 2012.