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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
8th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (14th), DevSecOps (9th)
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 October 2025, in the Release Automation category, the mindshare of Digital.ai Release is 1.1%, up from 0.6% compared to the previous year. The mindshare of Microsoft Azure DevOps is 31.2%, down from 40.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Market Share Distribution
ProductMarket Share (%)
Microsoft Azure DevOps31.2%
Digital.ai Release1.1%
Other67.7%
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."
"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 solution can apply one template across multiple applications."
"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."
"I definitely like the pipelines and the ease of management once you're in an enterprise."
"Most of the features are very valuable for us, especially the source code control and task management."
"The product is easy to use and very stable."
"The product is easy to use...It is a stable solution."
"The initial setup process is easy."
"If someone is considering developing and deploying the infrastructure in this solution, then using this tool is perfect because it's fully integrated with the pipelines and with a server core repository."
"It's very user-friendly, and the documentation is good. The most valuable feature is backlog item creation, where we pick features and other things. The burndown chart created for projects to be maintained by the development teams is also useful."
"It is possible to add third-party extensions to increase the usability of the product."
 

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."
"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."
"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."
"They could provide clearer guidance on deployment practices for the product."
"Integration and plugins for other tools could better. Like if you want to integrate the DevOps with other tools that are in the market. This could be for the engineering tools to check code quality, application security tools, and DevOps dashboard tools."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"When you compare with Jira, there is a lack of progress features."
"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."
"I think that the integration is to some extent, immature."
"Microsoft Azure DevOps should create some training materials."
"Its price can also be reduced. It would be great if they are a little bit more competitive in terms of pricing because many open-source products are currently available in the market."
 

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."
"It is the least expensive product in this class."
"We do not pay licenses for this solution."
"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 is reasonable for the solution."
"As a Microsoft Partner, you get a discount on the pricing. Licensing costs are around $80 a month for DevOps, but for Azure, it is about $200 a month."
"We purchase the solution on an annual basis."
"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."
"The price of the solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
38%
Computer Software Company
16%
Healthcare Company
9%
Insurance Company
8%
Manufacturing Company
14%
Computer Software Company
12%
Financial Services Firm
11%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise26
Large Enterprise69
 

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: September 2025.
868,706 professionals have used our research since 2012.