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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
8.6
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Build Automation (15th), DevSecOps (6th)
Microsoft Azure DevOps
Ranking in Release Automation
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
137
Ranking in other categories
Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)
 

Mindshare comparison

As of May 2026, in the Release Automation category, the mindshare of Digital.ai Release is 1.8%, up from 0.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 27.1%, down from 34.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Mindshare Distribution
ProductMindshare (%)
Microsoft Azure DevOps27.1%
Digital.ai Release1.8%
Other71.1%
Release Automation
 

Featured Reviews

Jeanne-Mari Chandran - PeerSpot reviewer
Software Configuration Specialist at a insurance company with 10,001+ employees
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.
Bharadwaj Deepak Mohapatra - PeerSpot reviewer
DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED
Have built reliable end-to-end pipelines and streamlined cloud provisioning through consistent collaboration practices
I am currently working with open-source tools such as Jenkins for my main CI/CD pipeline, and for enterprise clients, I am using Microsoft Azure DevOps CI/CD pipeline. For other clients, I have also implemented CI/CD YAML pipelines through GitLab CI/CD workflow and GitHub Actions. I am creating the end-to-end CI/CD pipeline from development to deployment and monitoring all of this. Azure Boards is easier than Jira for my understanding because there are very easy points to manage the Agile methodology which we work on. Because it is a GUI, sometimes the process may take a few minutes more than the CLI process since the backend is running the exact CLI, but we are commanding through the GUI. There is definitely a time lag, but it is more secure. Microsoft Azure DevOps pipelines work very seamlessly rather than other CI/CD pipelines, as of my understanding. The downside is that the process may take more time when deploying some clusters, Kubernetes, Azure AKS service, or some vast microservice architecture deployments. There may be a little bit of lag I feel, though I cannot tell very strictly that this is a disadvantage, but sometimes it takes a little more time than other cloud infrastructures. All the major things are done by GUI, which is somewhat a little slow. However, if considering automations, process, monitoring, and provisioning, then it is the best cloud service across all the other service providers. Our implementation is a hybrid cloud. Microsoft Azure DevOps is definitely easily scalable. I have worked on many Kubernetes infrastructures and microservice deployments, and I have seen that replication is very good because it is very easy. The replication process is very straightforward. I definitely advocate for using less code because it is very time-consuming. If using GCP or Amazon Web Service, there is more interaction related to work over the CLI process. In terms of Microsoft Azure DevOps, there are many things done by the GUI, which is the best part.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Since using Digital.ai Release, time has been saved, money has been saved, and staffing requirements have been reduced."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"Overall, it's been a good experience."
"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 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."
"Microsoft Azure DevOps has helped the developers a lot and we are deploying process changes very frequently and simultaneously. A lot of my team members that are developers are updating the code in parallel using Git. Additionally, Microsoft Azure DevOps is providing a very good approval mechanism. Overall it is benefiting by creating efficiency in production deployment and applications, our new releases are running well. The security of secured is good."
"What I like the most about this product is that it's free and it's secure."
"The solution is good for everything, including end-to-end planning and its deployment and testing."
"I would recommend this solution; I like Azure DevOps."
"The installation is very straightforward."
"It is stable, and we have had no issues with it."
"What I like the most is that it is easy to comprehend, and it's easy to use."
"Some of the most valuable features are the ease of use and the ability to monitor a lot of things. It has a lot of applications and facilities that meet all the developers' requirements. For example, we can use application insights to get an idea of our application's performance. Since it's cloud-based, it's really good for collaboration and working as a team."
 

Cons

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"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."
"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."
"One improvement for Digital.ai Release could be to simplify the user interface for beginners."
"It is very expensive in comparison to others."
"At times, our development work encounters issues, particularly when executing numerous CI/CD processes."
"Compared to JIRA, I think Azure DevOps is missing some management elements, like some reporting features. It would be helpful if some things were clearer when we're adding attributes. For instance, sometimes we want to add some categories or attributes, and it's not so easy."
"The solution should have fewer updates."
"The price could maybe be cheaper, but I'm sure I'll have more ideas as to improvements and additional features once I've used it more."
"The active directory password system needs some improvement because many times the password for the active directory expires before the set time."
"The UI, the user experience, is challenging for newcomers."
"The price could be lowered. It would be nice if it was cheaper."
 

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."
"The solution costs $5 or $10 per user, per month."
"The majority of the components are reasonably priced."
"There is a license for this solution."
"There is a licensing fee of $6/user per month."
"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."
"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."
"I find that the pricing is good, and it is competitive with the other vendors in the market."
"The price is cheaper than Jira and some of the other competing tools."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
10%
Insurance Company
9%
Manufacturing Company
9%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
By reviewers
Company SizeCount
Small Business43
Midsize Enterprise28
Large Enterprise69
 

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Release ?
Digital.ai Release is affordable in terms of pricing and setup cost. The integration was easy, and the pricing was good, though not ideal for small teams.
What needs improvement with Digital.ai Release ?
One improvement for Digital.ai Release could be to simplify the user interface for beginners. New users may take time to understand release pipelines and templates, so more guided onboarding tutori...
What is your primary use case for Digital.ai Release ?
Digital.ai Release orchestrates and automates the application release pipelines in our organization. When a new application build is ready, Digital.ai Release coordinates the deployment pipeline au...
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 2026.
893,438 professionals have used our research since 2012.