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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
9th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (15th), DevSecOps (8th)
Microsoft Azure DevOps
Ranking in Release Automation
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
135
Ranking in other categories
Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)
 

Mindshare comparison

As of August 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 33.0%, down from 40.5% 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 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."
"The solution can apply one template across multiple applications."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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."
"It is good for monitoring purposes. We are using the build pipelines of Microsoft Azure. They are also valuable."
"The product is easy to use and very stable."
"The one thing that really stands out to me is how you can filter and how you can do your reporting and filter the tasks and everything by user."
"The solution is scalable."
"The CI/CD pipeline setup is more user-friendly. You can manage various stages, and there are over 400+ plugins available for each stage."
"We can forecast tasks and the number of hours a task will take and can compare it with how long a task actually takes."
"The user interface is very friendly."
"We can track everything from the requirements stage to the production stage."
 

Cons

"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."
"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."
"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."
"I have not been able to use the integration with automation features, such as test management automation, with a framework that is written in Java."
"I think that the integration is to some extent, immature."
"Requirements management is an area that can be improved."
"The communication could work better, especially for the development team."
"Azure has not yet advanced to the performance level of the other major competitors and is missing integration with important technologies."
"Another area is the Azure monitoring agent for Citrix machines. There's room for improvement there too."
"The solution could work to improve their reporting."
"One area of Microsoft Azure DevOps that has room for improvement is business service level metrics and visibility, which we were trying to achieve but couldn't."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
"With Azure, you have to pay for every user."
"This product could maybe be cheaper. My organization handled licensing, so I'm not aware of which subscription they have."
"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."
"There is a license for this solution."
"Microsoft Azure DevOps is an expensive solution."
"The majority of the components are reasonably priced."
"We purchase the solution on an annual basis."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
36%
Computer Software Company
18%
Government
8%
Healthcare Company
8%
Manufacturing Company
13%
Computer Software Company
12%
Financial Services Firm
11%
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: July 2025.
865,164 professionals have used our research since 2012.