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Digital.ai Agility vs Digital.ai Release 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 Agility
Ranking in Release Automation
9th
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
5
Ranking in other categories
Application Lifecycle Management (ALM) Suites (14th), Enterprise Agile Planning Tools (9th), Value Stream Management Software (5th)
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)
 

Mindshare comparison

As of June 2025, in the Release Automation category, the mindshare of Digital.ai Agility is 1.4%, up from 0.5% compared to the previous year. The mindshare of Digital.ai Release is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

Debbie Brey - PeerSpot reviewer
A scalable, full-package solution with a tech support team that bends over backwards to help
There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it. The feature I would like to see is already in their newer licensing structure, and that's the live integration between Agility, Jira and Azure DevOps. That's the piece that I think is really valuable.
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.

Quotes from Members

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

Pros

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"It allows my clients to have one central tool to manage their agile projects."
"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."
"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."
"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."
"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."
"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 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 solution can apply one template across multiple applications."
 

Cons

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."
"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."
"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."
"Improve how to create and track releases. Currently, I have to create child projects."
"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 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."
"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 solution is a little bit expensive."
 

Pricing and Cost Advice

"Comparing the pricing to other products, I think this solution is in the middle."
"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
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Top Industries

By visitors reading reviews
Manufacturing Company
19%
Insurance Company
17%
Computer Software Company
13%
Financial Services Firm
11%
Financial Services Firm
29%
Educational Organization
29%
Computer Software Company
14%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

Ask a question
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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 ...
 

Also Known As

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Find out what your peers are saying about Digital.ai Agility vs. Digital.ai Release and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.