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Digital.ai Release vs Microsoft Azure DevOps comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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 Release
Ranking in Release Automation
10th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (15th), DevSecOps (9th)
Microsoft Azure DevOps
Ranking in Release Automation
1st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
133
Ranking in other categories
Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)
 

Mindshare comparison

As of June 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.8%, up from 0.6% compared to the previous year. The mindshare of Microsoft Azure DevOps is 33.2%, down from 40.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

Jeanne-Mari Chandran - PeerSpot reviewer
Experience seamless project management and integration with robust tools
The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required. I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software. Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.
Ivan Angelov - PeerSpot reviewer
Facilitates agile transformation with potential for enhanced intuitiveness
What I liked about the solution is that it offers numerous features that are not available by default unless you are agile. Transitioning from the traditional Waterfall model to an agile methodology was challenging for us. Until 2020, our team predominantly worked with the Waterfall approach, using local tools like ServiceNow. We had a few team members who were familiar with Agile ISO, but none had experience with Azure. Therefore, we pursued Azure certification at the AZ-900 level. Our company organized a training session with a certified Azure expert, which was extremely beneficial for adopting best practices during the initial three months. This preparation helped us get accustomed to the new tool, as transitioning to a new system invariably requires time. Managing a pipeline of deliverables became significantly easier with this solution. We utilized it for stories and integrated change management with Azure DevOps. Eventually, everything related to the environment was organized there, enabling us to follow up and track progress with our technical engineers on an hourly, daily, or weekly basis. Reports were automatically generated and sent to management, offering them insights into our progress concerning the predefined roadmap.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution can apply one template across multiple applications."
"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
"Overall, I would give Digital.ai Release a rating of nine out of ten; there's always room for improvement, but it's really good."
"It's a pretty problem-free solution."
"The product is easy to use and very stable."
"The installation is very straightforward."
"It is possible to add third-party extensions to increase the usability of the product."
"The user interface is very friendly."
"The reviewing and everything is very good in Azure DevOps."
"I like the tracking and that we can monitor our velocity."
"This solution works with other Microsoft solutions pretty easily. It was easy to integrate everything into all the other tools that we were using. It integrates very seamlessly."
 

Cons

"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
"The solution is a little bit expensive."
"I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what Digital.ai's cloud capabilities are."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"Requirements management is an area that can be improved."
"Some things like project management, tasks, progress, and having work progress views require us to use some external tools, or to create our own internal tools. These are not native to DevOps. It would be ideal if, instead of searching for third-party solutions, they had these feature sets or capabilities included under DevOps."
"Microsoft Azure DevOps should create some training materials."
"Microsoft Azure DevOps could improve by providing better integration with other tools. It is very easy to integrate with Azure, but when you need to integrate with other solutions, such as Amazon Web Services, is difficult."
"As for room for improvement, more features need to be added to the classic pipeline. The build and release pipelines are present, but there has not been much improvement there."
"The ability to integrate Microsoft Azure DevOps with other platforms and Microsoft products can be improved."
"I would like to see a bit more project tracking."
"Not all companies use the same methodology which could limit the use of this solution."
 

Pricing and Cost Advice

"The solution's license includes all features."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"For Microsoft, it can get expensive when you need heavy-duty machines."
"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 pay a monthly license for Microsoft Azure DevOps."
"The price is reasonable, but of course, you can find others that are cheaper such as Atlassian."
"There are other solutions available that are open source and free, such as GitLab."
"The price is cheaper than Jira and some of the other competing tools."
"The price is reasonable for the solution."
"When compared to other vendors, it is cheaper."
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Top Industries

By visitors reading reviews
Educational Organization
34%
Financial Services Firm
27%
Computer Software Company
12%
Government
5%
Manufacturing Company
13%
Computer Software Company
13%
Financial Services Firm
12%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Digital.ai Release ?
The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us.
What needs improvement with Digital.ai Release ?
Based on my experience, I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what ...
What is your primary use case for Digital.ai Release ?
My use case for Digital.ai Release is that I work for an insurance company on a very big project that develops multiple different pieces of software. We use Digital.ai Release to move our software ...
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

XL Release, XebiaLabs XL Release
Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Alaska Airlines, Iberia Airlines, Columbia, Skype
Find out what your peers are saying about Digital.ai Release vs. Microsoft Azure DevOps and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.