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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
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."
"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."
"You can use Digital.ai Agility for automating your tasks and creating your dashboard."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"The most valuable thing is kind of the whole package together."
"It allows my clients to have one central tool to manage their agile projects."
"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."
"One of the main features is the user interface is very good."
"The pricing seems to be reasonable."
"It is easy to use, we are able to generate many different types of reports from Azure, it connects well to PowerBI, and the performance is good."
"It is stable. I like Azure a lot. All our guys are Microsoft certified."
"It's graphical representation and tools are easy to use."
"The most valuable feature of Microsoft Azure DevOps is its capacity to cover all the phases of a developer team."
"We use all the DevOps features and services, like reports, Boards, Pipelines, Artifactory, etc. The interface is interactive and intuitive."
"We can eliminate some of the middleman processes."
 

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."
"The response from Digital.ai Agility is a little bit slow and could be faster."
"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 button 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."
"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."
"Templates could be improved."
"The test management section needs to be improved."
"The installation time of this solution depends on the environment it is being implemented in. We had a couple of projects that took around two weeks of implementation. This included the whole integration of the DevOps and everything together."
"Some of the queries, the way they're built, need to be looked at. We need better query tools."
"There is room for improvement on the UI side, especially with merge requests. If we compare Azure DevOps to GitLab when it comes to branches and PRs (pull requests), GitLab has a better interface."
"Information to make it easier to choose items from the marketplace (like MS verified), etc. Otherwise, every item requires a full InfoSec review."
"We are facing a lot of issues in the development of containerized solutions. We are facing a lot of challenges in this area."
"The tool was developed for Agile project methodology, but I've noticed that there has also been a try to incorporate what is typically done in MS Project, which is for more sequential Waterfall projects. The problem with that is that it is half-baked for Waterfall projects."
 

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."
"Its pricing is reasonable for the number of features that you get and the functionality that you can utilize for the agile delivery, which is what we are using it for. I found it extremely cost-effective."
"The price is reasonable, but of course, you can find others that are cheaper such as Atlassian."
"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."
"We do not pay licenses for this solution."
"We purchase the solution on an annual basis."
"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 licensing structure is good."
"The price is reasonable for the solution."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Insurance Company
14%
Financial Services Firm
9%
Transportation Company
7%
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
Computer Software Company
8%
 

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 Enterprise68
 

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: April 2026.
892,487 professionals have used our research since 2012.