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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
13th
Ranking in Enterprise Agile Planning Tools
8th
Average Rating
8.6
Reviews Sentiment
5.7
Number of Reviews
7
Ranking in other categories
Value Stream Management Software (5th)
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
138
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.7%, up from 1.9% compared to the previous year. The mindshare of Microsoft Azure DevOps is 9.8%, down from 14.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Lifecycle Management (ALM) Suites Mindshare Distribution
ProductMindshare (%)
Microsoft Azure DevOps9.8%
Digital.ai Agility2.7%
Other87.5%
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

"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."
"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."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"The most valuable thing is kind of the whole package together."
"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 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."
"It's graphical representation and tools are easy to use."
"Mostly, I have found the source code control pipeline and the pull request governance to be very valuable."
"I would advise someone considering this solution to use Microsoft because it is very user-friendly, it can run on small levels of applications, can be calibrated to the application, it can be scaled to a larger scale, from small scale to larger scale, and it is very stable as long as you increase the resources when you need to scale to a larger scale."
"It becomes a single source of truth for whatever operation is implemented within it."
"The automated bill feature is most valuable. As with most software developers, I can build code on my machine, but if one of my coworkers can't build the same code on theirs, there are always issues in trying to track it down. The automated bill process makes it a lot easier to track down where the issues are and find out what bugs aren't being included for whatever reason."
"Great project management feature and Git-based repository."
"Technical support has been excellent; on that side, Microsoft is very good, and the customer support of Microsoft has really improved this past year, and on the cloud side also we are very satisfied because it offers very good support."
"It is stable. I like Azure a lot. All our guys are Microsoft certified."
 

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."
"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."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"We would like some bidirectional synchronization. It's the requirement if you want to analyze it to software requirements, et cetera. That's something that most of the tools aren't that good at."
"Incorporating security tools directly into DevOps is crucial, as many existing DevOps solutions lack robust security features."
"With an ecosystem that has been up and running for some time, you won't have the full-flexibility that you would have with a new ecosystem."
"Being more technology-agnostic through ease of integration would be beneficial."
"Reporting across multiple projects could be improved."
"Requirements management is an area that can be improved."
"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."
"They could provide clearer guidance on deployment practices for the product."
 

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."
"We do not pay licenses for this solution."
"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."
"It has an annual subscription. It can be cheaper for partners. Many open-source products are available in the market, and it would be great if they can be a little bit more competitive in terms of pricing. A lot of startups are looking for an open-source, free, or cheap solution. If they can accommodate such requirements, it will be good for the product in the long run."
"I find that the pricing is good, and it is competitive with the other vendors in the market."
"Microsoft Azure DevOps is free for up to five users and allows you to track a maximum of three projects."
"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."
"For the basic license, it is around five euros per month."
"The solution costs $5 or $10 per user, per month."
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Insurance Company
12%
Construction Company
9%
Financial Services Firm
9%
Manufacturing Company
14%
Financial Services Firm
9%
Government
7%
Computer Software Company
6%
 

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 Enterprise70
 

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...
Microsoft Azure DevOps: what is your experience regarding pricing and costs ?
I rate Microsoft Azure DevOps price as a one, which means it is a good value.
 

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: August 2026.
908,877 professionals have used our research since 2012.