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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 (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
137
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.4%, up from 1.4% compared to the previous year. The mindshare of Microsoft Azure DevOps is 10.3%, down from 19.0% 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

"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 can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"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."
"The tool's most efficient feature is the integration of its services in one place. It is an easy-to-use product that improves productivity. Microsoft Azure DevOps is also user-friendly. Its documentation is clear and can be found on Google."
"I like the tracking and that we can monitor our velocity."
"The most valuable feature is the complete integration between test cases, pipelines, and issue management."
"Provides us with user histories."
"The installation is very straightforward."
"It's graphical representation and tools are easy to use."
"The most valuable feature is that we can run integrations with DevOps. From a QA perspective and a testing perspective, we can run those tests and integrate automation tools. Then we can run those tests as part of the deployment process. Every time we are deploying something, it automatically runs all the tests."
"The reports have been most valuable. We have created some dashboards allowing us to be able to check our teams, their progress, and mission plans."
 

Cons

"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."
"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."
"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."
"If they could build up requirement traceability metrics, then it would be great."
"At times, our development work encounters issues, particularly when executing numerous CI/CD processes."
"There are some areas that need improvement such as tracking."
"Integration and plugins for other tools could better. Like if you want to integrate the DevOps with other tools that are in the market. This could be for the engineering tools to check code quality, application security tools, and DevOps dashboard tools."
"While reporting in Azure DevOps is a robust capability, there's always room for enhancement, particularly in providing more granular reports."
"All of the tests of the applications are done on the mobile or web interface and it could be improved."
"I can't think of any specific things at the moment, but I've run into things that I didn't like. I came across something that I wanted to be changed in DevOps, but I can't remember what it was. It was a particular feature I was looking for that I couldn't find."
"They have to add more features such as schedules and more flexibility in the platform."
 

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."
"There are other solutions available that are open source and free, such as GitLab."
"I find that the pricing is good, and it is competitive with the other vendors in the market."
"The solution's deployment and licensing costs are very cheap compared to those of its competitors."
"When compared to other vendors, it is cheaper."
"It is relatively inexpensive compared to other solutions that necessitate servers and physical hardware."
"The majority of the components are reasonably priced."
"There is a license for this solution."
"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."
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Top Industries

By visitors reading reviews
Manufacturing Company
17%
Insurance Company
16%
Computer Software Company
9%
Financial Services Firm
8%
Manufacturing Company
14%
Financial Services Firm
10%
Government
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise28
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: January 2026.
882,886 professionals have used our research since 2012.