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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 June 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.7%, up from 1.8% compared to the previous year. The mindshare of Microsoft Azure DevOps is 9.5%, down from 16.0% 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 most valuable thing is kind of the whole package together."
"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."
"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."
"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."
"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."
"It allows my clients to have one central tool to manage their agile projects."
"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."
"We use this solution for continuous integration, strategic analysis, and to create and deploy virtual machines, and soon there will be more than 200 of us using this solution."
"Most developers and project managers choose the Microsoft tools to begin with because of familiarity, and these new tools are almost an extension of the tools you're already familiar with. There's a lot of knowledge transfer, which helps, rather than bringing in a new product line."
"Some of the valuable features are the interface and the workflows are easy to learn and to manage."
"Some of the valuable features are the functionality and the wide range of capabilities."
"Microsoft Azure DevOps has helped the developers a lot and we are deploying process changes very frequently and simultaneously. A lot of my team members that are developers are updating the code in parallel using Git. Additionally, Microsoft Azure DevOps is providing a very good approval mechanism. Overall it is benefiting by creating efficiency in production deployment and applications, our new releases are running well. The security of secured is good."
"I like the CD pipeline; it's the most valuable feature for us, as it's so easy to integrate into the CD/CI environment and the initial setup is quick and easy."
"My team likes the integration that Microsoft Azure DevOps has with GitHub and Microsoft Teams, and the solution is well integrated with other Microsoft tools in one place, it is very good."
 

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."
"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. That presents a huge challenge between their IT groups."
"The response from Digital.ai Agility is a little bit slow and could be faster."
"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."
"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."
"It should be able to handle the different types. There is ecosystems engineering, and there is software applications engineering. There is a need to bring these teams together, but the disciplines don't integrate very well, and so it won't work."
"Not all companies use the same methodology which could limit the use of this solution."
"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."
"The tool has a logical link between epic feature, user story, and task, but when you try to generate a report to show the delivery progress against a feature, it is not easy. To see the percentage completion for a feature or progress of any delivery, it is not easy to draw a report."
"The active directory password system needs some improvement because many times the password for the active directory expires before the set time."
"Microsoft Azure DevOps should create some training materials."
"The initial three months were particularly challenging, and without the help of an external consultant, adapting to the change in work processes would have been difficult."
"The dashboard could be improved. Although there is flexibility in configuring it, there are some metrics that we have to configure ourselves."
 

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."
"As a Microsoft Partner, you get a discount on the pricing. Licensing costs are around $80 a month for DevOps, but for Azure, it is about $200 a month."
"The licensing costs are reasonable."
"The solution's deployment and licensing costs are very cheap compared to those of its competitors."
"The price is reasonable for the solution."
"The licensing structure is good."
"When compared to other vendors, it is cheaper."
"The price of the solution is expensive."
"With Azure, you have to pay for every user."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Insurance Company
13%
Construction Company
9%
Financial Services Firm
8%
Manufacturing Company
15%
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...
Microsoft Azure DevOps: what is your experience regarding pricing and costs ?
Pricing experience is limited, as I am a user of this product and not involved in the pricing aspects. There has definitely been a lot of return on investment from using Microsoft Azure DevOps due ...
 

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.
899,125 professionals have used our research since 2012.