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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
12th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Build Automation (17th), DevSecOps (12th)
UrbanCode Deploy
Ranking in Release Automation
10th
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 May 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.7%, up from 0.6% compared to the previous year. The mindshare of UrbanCode Deploy is 5.4%, up from 3.5% 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…
it_user587571 - PeerSpot reviewer
It offers OOTB plugins for middleware.
By standardizing the automated deployment application process, reducing the amount of errors due to manual steps and by providing visibility into the release cycles of various teams/applications, we've improved our global efficiency by at least 25% and still counting, since we've only used the product for a short period of time.

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 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."
"Stable solution that's good for automating the CI/CD pipeline: from development to production."
"The solution handles complex deployments very efficiently."
"The stability is good. I haven't experienced any issues."
"The most valuable functionality is the ability to define the deployment process, schedule the deployment and automatically execute the deployments to different environments."
"The most valuable feature is the snapshot functionality, which allows us to access previous versions of the artifacts."
 

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 technical support of the solution could definitely be improved as PMRs take long to resolve."
"The interface allows access in a number of ways but that can be confusing."
"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."
"I would like to see more reporting for container architecture."
"The scalability of this application needs improvement. Changes and variations in the application become bottlenecks as they need to be more seamless and comfortable."
 

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 cost of the solution is high but it offers great ROI."
"Considering COVID-19, the price is too high."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
45%
Financial Services Firm
24%
Computer Software Company
10%
Healthcare Company
5%
Educational Organization
57%
Financial Services Firm
21%
Insurance Company
6%
Computer Software Company
3%
 

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.
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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: April 2025.
850,028 professionals have used our research since 2012.