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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
13th
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 March 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.7%, down from 0.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 37.7%, up from 37.9% 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 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."
"Setting up Azure DevOps was straightforward. It's easy to use the default templates. Everything is under our control, so it's simple to implement new requirements."
"Stable and scalable solution for work planning and code collaboration. It's fast, and it offers a good user experience."
"The solution is scalable."
"Some of the valuable features are the interface and the workflows are easy to learn and to manage."
"Azure DevOps is highly valued for being an all-in-one solution."
"I really like the Microsoft DevOps survey."
"Azure DevOps' collaborative features are good, and it integrates well with other tools in the software development process, like quality testing, documentation, and agile development."
"The product is easy to use...It is a stable solution."
 

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."
"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."
"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 communication could work better, especially for the development team."
"There are certain features, and reporting that can only be used in PowerBI, but not directly in DevOps."
"Requirements management is an area that can be improved."
"There is only one key area of improvement for me. The new imaging thing is that there is DevOps, where security is important because it is always lasting. So, to integrate security in our DevOps, that would be nice."
"Templates could be improved."
"Azure has not yet advanced to the performance level of the other major competitors and is missing integration with important technologies."
"We would like some bidirectional synchronization. It's the requirement if you want to analyze it to software requirements, et cetera. That's something that most of the tools aren't that good at."
"The price could be lowered. It would be nice if it was cheaper."
 

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."
"There are other solutions available that are open source and free, such as GitLab."
"The solution's deployment and licensing costs are very cheap compared to those of its competitors."
"The price is reasonable, but of course, you can find others that are cheaper such as Atlassian."
"The licensing structure is good."
"The price is reasonable for the solution."
"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."
"I don't know the pricing of DevOps. It would be much cheaper than ALM because ALM came out as a software product initially. Now they are moving into a cloud and subscription model. In that case, Microsoft is coming from Azure and the cloud and DevOps and software as a service, so it would be much cheaper, but the catch would be that they are trying to get money on all the sides, like an operating system, Microsoft Office, or Microsoft Azure DevOps."
"The price of this solution is fair."
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Top Industries

By visitors reading reviews
Educational Organization
54%
Financial Services Firm
22%
Computer Software Company
8%
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.
841,004 professionals have used our research since 2012.