No more typing reviews! Try our Samantha, our new voice AI agent.

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
15th
Ranking in Release Automation
12th
Ranking in Enterprise Agile Planning Tools
9th
Average Rating
8.6
Reviews Sentiment
5.7
Number of Reviews
7
Ranking in other categories
Value Stream Management Software (6th)
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
137
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.7%, up from 1.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 9.5%, down from 16.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Lifecycle Management (ALM) Suites Mindshare Distribution
ProductMindshare (%)
Microsoft Azure DevOps9.5%
Digital.ai Agility2.7%
Other87.8%
Application Lifecycle Management (ALM) Suites
 

Featured Reviews

Abhishek Kumar Singh - PeerSpot reviewer
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…
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

"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."
"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."
"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."
"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."
"You can use Digital.ai Agility for automating your tasks and creating your dashboard."
"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."
"Version control practices have been perfect for us. It maintains a detailed history and is integrated with GitHub, which is also a Microsoft product. It is quite a game-changer."
"The product is easy to use...It is a stable solution."
"Our customers use Microsoft Azure DevOps for their business needs when it comes to DevSecOps and scalability."
"The installation is very straightforward."
"It is a cloud-based system. So, it is stable and scalable."
"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."
"We can forecast tasks and the number of hours a task will take and can compare it with how long a task actually takes."
"The installation is straightforward. We can create a whole new organization in less than a day."
 

Cons

"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."
"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."
"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."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"The solution can improve by adding integration with on-premise tools."
"The solution could work to improve their reporting."
"With Microsoft, I would prefer to have more test plans. It's very difficult to find individual test plan module training."
"Those processes are a bit difficult for some customers who may not have technical knowledge and don't go through the entire documentation."
"The solution can be improved by having better integration with other cloud platforms."
"One area of Microsoft Azure DevOps that has room for improvement is business service level metrics and visibility, which we were trying to achieve but couldn't."
"Reporting across multiple projects could be improved."
"I would like to see new features added."
 

Pricing and Cost Advice

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."
"Comparing the pricing to other products, I think this solution is in the middle."
"It is relatively inexpensive compared to other solutions that necessitate servers and physical hardware."
"The licensing structure is good."
"The reason that customers are going to the cloud is that it provides the ability to reduce the license cost. For example, when purchasing Office 365 it is bundled with Word, Excel, PowerPoint, Access, and many other applications. In the past, purchasing a license was approximately $600. Today it's only $35 or $45 per customer, per client, or per user, plus the storage. It's less expensive for companies today, to use something, such as Microsoft Azure DevOps, and provide the software to all the employees needing a license. It's better to go with the cloud than just to buy the licenses by themselves."
"As the cost structure is per user, I would recommend paying the cost structure based on the amount of data you use rather than the number of users."
"There is a license for this solution."
"This product could maybe be cheaper. My organization handled licensing, so I'm not aware of which subscription they have."
"Microsoft Azure DevOps is free for up to five users and allows you to track a maximum of three projects."
"The main agile features are very expensive."
report
Use our free recommendation engine to learn which Application Lifecycle Management (ALM) Suites solutions are best for your needs.
894,998 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
15%
Insurance Company
14%
Financial Services Firm
9%
Construction Company
7%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise5
By reviewers
Company SizeCount
Small Business43
Midsize Enterprise28
Large Enterprise69
 

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.
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: May 2026.
894,998 professionals have used our research since 2012.