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Digital.ai Release vs GoCD 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 Build Automation
15th
Ranking in Release Automation
10th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
DevSecOps (9th)
GoCD
Ranking in Build Automation
17th
Ranking in Release Automation
11th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Application Lifecycle Management (ALM) Suites (15th)
 

Mindshare comparison

As of June 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.9%, down from 0.9% compared to the previous year. The mindshare of GoCD is 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build 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.
Nishant Narayan Singh - PeerSpot reviewer
Simplifies the pipeline process, but the access control system needs enhancement
One area of product improvement is the access control system. It is difficult to assign different access levels because it relies on separate keys for developer and admin access, which could be simplified. The folder structure is another aspect that could be enhanced, as all jobs are displayed on a single page without the clear organization seen in Jenkins. Implementing a more structured approach to organizing jobs would improve user experience. AI could simplify job creation. For example, instead of manually editing pipelines as code, an AI tool could allow users to input variables and automatically generate the required jobs. It would help reduce human errors, such as issues that arise from incorrect edits in large code files.

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."
"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."
"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 notable aspect is its user interface, which we find to be user-friendly and straightforward for deploying and comprehending pipelines. We have the ability to create multiple pipelines, and in addition to that, the resource consumption is impressive."
"GoCD's open-source nature is valuable."
"Permission separations mean that we can grant limited permissions for each team or team member."
"The UI is colorful."
 

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."
"The aspect that requires attention is the user management component. When integrating with BitLabs and authenticating through GitLab, there are specific features we desire. One important feature is the ability to import users directly from GitLab, along with their respective designations, and assign appropriate privileges based on that information. Allocating different privileges to users is a time-consuming process for us."
"The documentation really should be improved by including real examples and more setup cases."
"It is difficult to assign different access levels because it relies on separate keys for developer and admin access, which could be simplified."
"The tool must be more user-friendly."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
"It's an open-source and free tool."
"This is an open-source solution and it is inexpensive."
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Top Industries

By visitors reading reviews
Educational Organization
34%
Financial Services Firm
27%
Computer Software Company
12%
Government
5%
Computer Software Company
19%
Financial Services Firm
14%
Retailer
12%
Real Estate/Law Firm
7%
 

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 ...
What needs improvement with GoCD?
One area of product improvement is the access control system. It is difficult to assign different access levels because it relies on separate keys for developer and admin access, which could be sim...
 

Comparisons

 

Also Known As

XL Release, XebiaLabs XL Release
Adaptive ALM, Thoughtworks Go
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Ancestry.com, Barclay Card, AutoTrader, BT Financial Group, Gamesys, Nike, Vodafone, Haufe Lexware, Medidata, Hoovers
Find out what your peers are saying about Digital.ai Release vs. GoCD and other solutions. Updated: June 2025.
857,162 professionals have used our research since 2012.