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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
12th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Build Automation (17th), DevSecOps (12th)
Microsoft Azure DevOps
Ranking in Release Automation
1st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
132
Ranking in other categories
Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)
 

Mindshare comparison

As of April 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.7%, up from 0.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 36.4%, down from 38.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

Navanath Gajare - PeerSpot reviewer
Effectively automates deployments and applies one template across applications
Our company uses the solution to handle deployments for new releases. Whenever there is a new release, the solution creates a new provision template for deployment. We also orchestrate and manage all users. We integrate with other tools like GitHub, Jenkins, or Digital.ai Deploy to manage…
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 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 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."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The solution can apply one template across multiple applications."
"It is a really easy way to define all of the features that you need to deliver. You can link those features to epics and break them down into user stories. You can also assign the user stories into sprints for doing your product improvement planning."
"One of the main features is the user interface is very good."
"Fields can be customized and the reporting is good."
"Azure DevOps is complete and meets all of your expectations. You can develop your own plugins to customize it however you want, so it's highly flexible. We develop personalized plugins or use ones that other programmers create for the Azure Marketplace."
"It is stable. I like Azure a lot. All our guys are Microsoft certified."
"The creation of test plans is valuable and I like the reporting features."
"It's a complete solution that has everything you need."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
 

Cons

"The solution is a little bit expensive."
"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."
"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."
"Better integration with the Linux operating system would be an improvement for this solution."
"Its UI can be easier and more customer-friendly. The UI can be improved from the project management and agile perspective."
"The testing environment and different pipelining concepts can be improved."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"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."
"There are certain areas in Azure DevOps that are better in other products."
"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."
"The portfolio is one area where DevOps has room for improvement. Built-in reporting and visualization also could be better. We're using Power BI and Tableau to compile more complex reports and dashboards. Azure DevOps has some out-of-the-box reporting capabilities, but they're very simple. It's usually okay on the team level, but if you have to run a complex report, it's difficult and insufficient, so we use Power BI as an extension."
 

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."
"We purchase the solution on an annual basis."
"This product could maybe be cheaper. My organization handled licensing, so I'm not aware of which subscription they have."
"There is a licensing fee of $6/user per month."
"The price of this solution is fair."
"It's a good tool, quite rich, it has a lot of features, and quite a lot of analytical capabilities which are built on top of it so that you can see how your projects are going and all that stuff. It's a good tool."
"The cost is quite affordable."
"There are additional costs for some functionality, such as increased scalability."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
48%
Financial Services Firm
23%
Computer Software Company
10%
Healthcare Company
4%
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 ?
There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...
What is your primary use case for Digital.ai Release ?
It helps with creating documentation, release processes, deploying to lower environments, scheduling meetings, and sending emails to stakeholders. The goal is to reduce manual work and save time.
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: April 2025.
849,190 professionals have used our research since 2012.