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Digital.ai Release vs Jenkins comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 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
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (10th), DevSecOps (7th)
Jenkins
Ranking in Build Automation
4th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Build Automation category, the mindshare of Digital.ai Release is 2.0%, up from 0.8% compared to the previous year. The mindshare of Jenkins is 7.2%, down from 11.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Market Share Distribution
ProductMarket Share (%)
Jenkins7.2%
Digital.ai Release2.0%
Other90.8%
Build 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.
JI
Principal Software Engineer at a financial services firm with 5,001-10,000 employees
Efficient resource allocation and robust workflow with autoscaling capabilities
In Kubernetes, we use node-based architecture with nodes and pods and follow practices like RBAC and rollback. Multiple pods can run concurrently. We benefit from Kubernetes' ability to autoscale pods and use horizontal pod autoscalers to adjust the number of pods based on metrics like CPU or memory usage, ensuring efficient resource allocation and stability under load.

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."
"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 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 initial setup is pretty simple."
"Distributed execution of build and test jobs."
"The most valuable aspect of this solution is that there are multiple features. We can abstract certain variables and then build our deployment routine while being able to do some abstraction onto the SSH connections."
"Jenkins is particularly valuable since it saves time by automating manual tasks."
"Has a good interface, is reliable and saves time."
"The most valuable feature of Jenkins is its continuous deployment. We can deploy to multi-cluster and multi-regions in the cloud."
"It is easy to use."
"The automated elements are easy to use and you can put them into your server."
 

Cons

"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."
"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."
"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."
"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 enterprise version is less stable than the open-source version."
"Jenkins relies on the old version of interface for configuration management. This needs improvement."
"We sometimes face challenges during version upgrades, such as failures when migrating Kubernetes versions."
"Jenkins takes a long time to create archive files."
"The documentation on plugin development could be better: more examples. ​"
"We need more licensed product integrations."
"Jenkins could improve by adding the ability to edit test automation and make time planning better because it is difficult. It should be easier to do."
"Jenkins can be improved, but it's difficult for me to explain. The initial setup could be more straightforward. If you connect Jenkins with bookings and lockouts, it can be challenging."
 

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 is one of the lowest costs compared to competitors."
"Jenkins is a free solution, it is open source."
"The tool is open-source."
"The solution is open source."
"It is an open source."
"Jenkins is an open-source platform."
"There is no cost. It is open source."
"Jenkins is open-source, so it is free."
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Comparison Review

it_user184734 - PeerSpot reviewer
Systems Administrator at Facebook
Jan 22, 2015
I generally find TeamCity a lot more intuitive than Jenkins.
Moving to TeamCity from Jenkins At work, we’re slowly migrating from Jenkins to TeamCity in the hope of ending some of our recurring problems with continuous integration. My use of Jenkins prior to this job has been almost strictly on a personal basis, although I pretty much only use Travis…
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
12%
Insurance Company
12%
Healthcare Company
10%
Financial Services Firm
19%
Manufacturing Company
14%
Computer Software Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise15
Large Enterprise56
 

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 ...
How does Tekton compare with Jenkins?
When you are evaluating tools for automating your own GitOps-based CI/CD workflow, it is important to keep your requirements and use cases in mind. Tekton deployment is complex and it is not very e...
What do you like most about Jenkins?
Jenkins has been instrumental in automating our build and deployment processes.
What is your experience regarding pricing and costs for Jenkins?
Jenkins is used in many companies to save money, especially within R&D divisions, by avoiding the expenses of proprietary tools.
 

Comparisons

 

Also Known As

XL Release, XebiaLabs XL Release
No data available
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Airial, Clarus Financial Technology, cubetutor, Metawidget, mysocio, namma, silverpeas, Sokkva, So Rave, tagzbox
Find out what your peers are saying about Digital.ai Release vs. Jenkins and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.