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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

"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 allows my clients to have one central tool to manage their agile projects."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"You can use Digital.ai Agility for automating your tasks and creating your dashboard."
"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."
"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."
"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."
"I like a lot of the features in Azure DevOps, including the creation of test plans, the reporting features such as charts and progress reporting, and the user-friendly interface."
"The solution offers great features including the project management feature and the Git-based repository, and there is also the Azure pipelines and release artifact so you have all the functionality in one tool."
"The most valuable feature is automation with version control."
"There has been a measurable improvement in productivity of around 40 to 50% after implementing Microsoft Azure DevOps, which has allowed more time to be spent on other things."
"This platform provides a large span of tools and technologies."
"What I like the most about this product is that it's free and it's secure."
"There are a lot of helpful features available for tracking dependencies."
"The most important improvement was to provide continuous delivery with high-quality software."
 

Cons

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"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."
"The user interface can be improved by adding Save button 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."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"One issue noted is that when working on multiple epics, the board or sprint displays tasks only for selected individual projects, so there is no combined dashboard to view all tasks at once."
"I think that the integration is to some extent, immature."
"Azure DevOps is set up more for development and less for testing. If it is set up correctly, everyone can use it better, but it was set up from a development point of view, which means it is lacking in what I need from a testing perspective."
"Reporting across multiple projects could be improved."
"We are facing some problems because the capacity can only be measured within a project. It cannot be measured across multiple projects."
"The solution could be made faster because it can be a little unnerving to browse through too many pages and press too many buttons."
"It is very difficult to integrate the product with third-party tools."
"Microsoft Azure DevOps should create some training materials."
 

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 pricing is very competitive because of the whole development cycle by Azure DevOps. You don't have to buy and integrate several different tools."
"When compared to other vendors, it is cheaper."
"We do not pay licenses for this solution."
"There is a licensing fee of $6/user per month."
"The price of the solution is expensive."
"The cost is quite affordable."
"The majority of the components are reasonably priced."
"I find that the pricing is good, and it is competitive with the other vendors in the market."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Insurance Company
14%
Financial Services Firm
9%
Transportation Company
7%
Manufacturing Company
13%
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.
893,164 professionals have used our research since 2012.