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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 solution can apply one template across multiple applications."
"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 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 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."
"We can forecast tasks and the number of hours a task will take and can compare it with how long a task actually takes."
"We are able to generate many different types of reports from Azure."
"It is a well-integrated product in terms of the development lifecycle."
"The most valuable features of Microsoft Azure DevOps are high-level protection. The protection is very important to the customers to prevent eavesdropping. eavesdropping is when a hacker tries to get into the solution. With this solution is it difficult for them to do it."
"It is good for monitoring purposes. We are using the build pipelines of Microsoft Azure. They are also valuable."
"There are a lot of helpful features available for tracking dependencies."
"Typically the sprints themselves and managing the tasks have essentially eliminated our need for reporting."
 

Cons

"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 solution is a little bit expensive."
"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."
"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 main issue that I have is the connection speed. Sometimes, the response is too slow. I am based in Taiwan, and I am not sure if it is because of broadband or something else. Its initial configuration is also a little bit difficult."
"The tool was developed for Agile project methodology, but I've noticed that there has also been a try to incorporate what is typically done in MS Project, which is for more sequential Waterfall projects. The problem with that is that it is half-baked for Waterfall projects. If you're going to do it, then either go all the way and allow us to use the tool for both or don't do it at all."
"It's too technical sometimes because it's meant for network developers. The CI/CD pipelines are not very easy to manage because it requires a lot of input. So it could be easier to manage."
"Better integration with the Linux operating system would be an improvement for this solution."
"There are certain features, and reporting that can only be used in PowerBI, but not directly in DevOps."
"The solution is generally stable but not entirely issue-free."
"The test management section needs to be improved."
"I would like to see better interoperability with the agile scaling frameworks."
 

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."
"I don't have a problem with the pricing."
"The price is cheaper than Jira and some of the other competing tools."
"It is the least expensive product in this class."
"When compared to other vendors, it is cheaper."
"The price is reasonable for the solution."
"With Azure, you have to pay for every user."
"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."
"The majority of the components are reasonably priced."
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Top Industries

By visitors reading reviews
Educational Organization
52%
Financial Services Firm
22%
Computer Software Company
9%
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: March 2025.
845,040 professionals have used our research since 2012.