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Digital.ai Release vs UrbanCode Deploy 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
10th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (15th), DevSecOps (9th)
UrbanCode Deploy
Ranking in Release Automation
6th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
27
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.8%, up from 0.6% compared to the previous year. The mindshare of UrbanCode Deploy is 5.9%, up from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
CT
A handy interface that includes buttons or drag-and-drop options for all functionality
Our company uses the solution for standard, blue-green, and complex deployments. We have 250 users throughout our company.  The solution handles complex deployments very efficiently.  The user interface includes buttons or drag-and-drop options for all functionality. It is easy to create component…

Quotes from Members

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

Pros

"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."
"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."
"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."
"It is very easy to make a software release. It used to take us at least a couple of hours to make a release, now we went to production with a new one last night. This new release took me five minutes."
"The most valuable functionality is the ability to define the deployment process, schedule the deployment and automatically execute the deployments to different environments."
"Stable solution that's good for automating the CI/CD pipeline: from development to production."
"The most valuable feature is the snapshot functionality, which allows us to access previous versions of the artifacts."
"The solution handles complex deployments very efficiently."
"The stability is good. I haven't experienced any issues."
 

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 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."
"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."
"The interface allows access in a number of ways but that can be confusing."
"The technical support of the solution could definitely be improved as PMRs take long to resolve."
"I would like to have the agent up and running at all times, as opposed to only while it is in the DevOps pipeline."
"I certainly would like to have a better way to pass information between deployment steps using UrbanCode Deploy because that's really difficult to do."
"The scalability of this application needs improvement. Changes and variations in the application become bottlenecks as they need to be more seamless and comfortable."
"I would like to see more reporting for container architecture."
 

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 licensing fees for this solution are based on the number of servers that are being deployed and the number of agents that you have."
"Considering COVID-19, the price is too high."
"The cost of the solution is high but it offers great ROI."
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Top Industries

By visitors reading reviews
Educational Organization
33%
Financial Services Firm
28%
Computer Software Company
13%
Government
5%
Educational Organization
44%
Financial Services Firm
26%
Insurance Company
7%
Computer Software Company
4%
 

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 ?
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 ...
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Also Known As

XL Release, XebiaLabs XL Release
uDeploy
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
As policy, IBM does not release customer names on non-IBM web sites.  However, public DevOps and UrbanCode Deploy case studies can be found here. IBM's UrbanCode Deploy customers span Small-Medium Businesses to Fortune 500 companies across all industries worldwide.
Find out what your peers are saying about Digital.ai Release vs. UrbanCode Deploy and other solutions. Updated: June 2025.
857,585 professionals have used our research since 2012.