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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:
 

ROI

Sentiment score
5.5
Digital.ai Release improved deployment speed and accuracy, reduced staffing needs, and streamlined operations without reducing tools or staff.
Sentiment score
8.5
Jenkins provides excellent ROI by being free, enhancing satisfaction, streamlining deployment, reducing errors, and lowering costs.
The best part is standardizing things, which in the long term will help me reduce costs and improve efficiency.
Application Architect at a insurance company with 1,001-5,000 employees
Digital.ai Release has reduced the error rate up to 80%.
Cloud Platform at Futurescape
 

Customer Service

Sentiment score
6.4
Digital.ai Release offers reliable customer support, ensuring high availability and effective issue resolution for large multinational organizations.
Sentiment score
6.5
Jenkins relies on robust community support for answers, while CloudBees offers varying response times for additional assistance.
Regarding tech support from Digital.ai Release, I would rate them high because as a big multinational company working with people's money, it is crucial to have support, high availability, data integrity, and security, which this product ticks all the boxes.
Software Configuration Specialist at a insurance company with 10,001+ employees
We have a release team to help us with Digital.ai Release.
Application Architect at a insurance company with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
6.2
Digital.ai Release is scalable with some hardware limitations, lacking auto-scaling, yet performs well in diverse deployments.
Sentiment score
7.2
Jenkins is scalable and adaptable, effectively managing many jobs, with enhanced capabilities via Kubernetes and Docker integration.
Digital.ai Release's scalability seems to be adequate.
Application Architect at a insurance company with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.9
Digital.ai Release is stable and reliable, with minor errors often attributed to less stable deployment environments like IBM WebSphere.
Sentiment score
7.1
Jenkins is generally stable with occasional issues, but performance improves significantly with better hardware and recent updates.
My overall impression of the stability of Digital.ai Release is that it is good, although my problem lies with where we deploy to, which is currently not stable at the moment.
Software Configuration Specialist at a insurance company with 10,001+ employees
Digital.ai Release is very stable from my perspective.
Release Manager at a consultancy with 201-500 employees
 

Room For Improvement

Digital.ai Release requires UI improvements, better onboarding, enhanced automation, integration options, and flexible pricing to optimize user experience.
Jenkins requires UI/UX enhancements, plugin stability, better integration, improved documentation, and more effective troubleshooting for user satisfaction.
If we had an API that could be used on the user side, similar to the one in JIRA where we can create a personal token without granting full access to Digital.ai Release, I could have my script automate the process instead of fulfilling the template field by field, which would be excellent.
Release Manager at a consultancy with 201-500 employees
Seeing the logs is challenging because we need to open multiple windows, and it does not display in full screen, which could definitely be improved.
Senior Technology Architect at a tech vendor with 10,001+ employees
I would appreciate standardized training material that would give me hands-on experience.
Application Architect at a insurance company with 1,001-5,000 employees
 

Setup Cost

Jenkins is cost-effective and open-source, with additional costs for infrastructure and an enterprise edition offering extra features.
Digital.ai Release is affordable in terms of pricing and setup cost.
Cloud Platform at Futurescape
 

Valuable Features

Digital.ai Release offers orchestration, automation, template reusability, and integration, enhancing release efficiency with real-time notifications and role-based approvals.
Jenkins excels in automation, integration, and scalability with its robust ecosystem, enhancing collaboration, efficiency, and reliability.
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.
Software Configuration Specialist at a insurance company with 10,001+ employees
Digital.ai Release has positively impacted the organization I currently work for at a very high level, mainly because it has allowed us to automate many tasks that previously required manual intervention.
Senior Technology Architect at a tech vendor with 10,001+ employees
The best part is standardizing things, which in the long term will help me reduce costs and improve efficiency.
Application Architect at a insurance company with 1,001-5,000 employees
 

Categories and Ranking

Digital.ai Release
Ranking in Build Automation
15th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Release Automation (9th), DevSecOps (6th)
Jenkins
Ranking in Build Automation
1st
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 June 2026, in the Build Automation category, the mindshare of Digital.ai Release is 2.8%, up from 0.9% compared to the previous year. The mindshare of Jenkins is 9.1%, down from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
Jenkins9.1%
Digital.ai Release2.8%
Other88.1%
Build Automation
 

Featured Reviews

reviewer1442733 - PeerSpot reviewer
Application Architect at a insurance company with 1,001-5,000 employees
Standardized releases have reduced errors and now streamline our cloud resource management
To improve Digital.ai Release, I think the user interface could be improved. For example, I have a plan phase before my build phase, and sometimes the toggle button is hidden. I have to toggle it before the step can be executed, or it will be skipped. Many people who did not use Digital.ai Release before do not even know there is a toggle button, and the first time when they run into that phase, they will definitely skip that step. Regarding needed improvements, I did not do extensive reading on documentation or training material directly from Digital.ai Release. My knowledge comes from the team who has been using it. However, I would appreciate standardized training material that would give me hands-on experience.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
9%
Computer Software Company
9%
Insurance Company
9%
Financial Services Firm
19%
Manufacturing Company
13%
Construction Company
7%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise15
Large Enterprise58
 

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Release ?
Digital.ai Release is affordable in terms of pricing and setup cost. The integration was easy, and the pricing was good, though not ideal for small teams.
What needs improvement with Digital.ai Release ?
One improvement for Digital.ai Release could be to simplify the user interface for beginners. New users may take time to understand release pipelines and templates, so more guided onboarding tutori...
What is your primary use case for Digital.ai Release ?
Digital.ai Release orchestrates and automates the application release pipelines in our organization. When a new application build is ready, Digital.ai Release coordinates the deployment pipeline au...
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 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.
What needs improvement with Jenkins?
I do not have any notes for improvement.
 

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: June 2026.
900,747 professionals have used our research since 2012.