Digital.ai Release vs Jenkins comparison

Read 93 Jenkins reviews

10,714 Views
10,500 Comparison Views

88% willing to recommend

Digital.ai Release

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 5, 2025

Jenkins and Digital.ai Release are two competing products in the continuous integration and release management space. Digital.ai Release seems to have the upper hand due to its advanced control and oversight functionalities, appealing to enterprise-level demands.

Features: Jenkins offers extensive plugin support, integration capabilities, and customization options, making it flexible and versatile in various environments. Digital.ai Release provides advanced release orchestration, analytics, and compliance management, which cater to structured and regulated deployment processes in enterprises.

Room for Improvement: Jenkins could enhance its user interface experience and address the complexity of manual configurations. Additionally, improving out-of-the-box analytics features would make it more appealing. Digital.ai Release could enhance its adaptability for smaller organizations, improve pricing flexibility, and expand its open-source community engagement.

Ease of Deployment and Customer Service: Jenkins offers a straightforward installation process, supported by an active community, but often requires manual configuration for optimal use. Digital.ai Release delivers a streamlined deployment experience with dedicated customer support and professional services, providing a smoother path for enterprises to set up and maintain their systems.

Pricing and ROI: Jenkins benefits from lower initial costs by being open source, relying on community support for cost-effectiveness. In contrast, Digital.ai Release incurs higher costs due to licensing but justifies these with significant ROI improvements by streamlining release cycles and enhancing reliability, particularly in large-scale enterprise environments.

To learn more, read our detailed Digital.ai Release vs. Jenkins Report (Updated: September 2026).

Digital.ai Release vs. Jenkins

September 2026

Download the complete report

Helped 917,433 peers since 2012

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

5.9

Digital.ai Release enhances efficiency with reduced manual effort, errors, deployment time, saving costs, and improving rollback and QA time.

Sentiment score

8.5

Implementing Jenkins boosted productivity, cut costs and deployment time, enhanced security, and yielded up to 90% ROI.

Digital.ai Release has reduced the error rate up to 80%.

Cloud Platform at Futurescape

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

This means four to five hours saved for one QA on each release, and with multiple QAs doing multiple releases across our three or four different brands, we are saving days within a week.

For more quotes and insights, download the Digital.ai Release report

Test Manager at a manufacturing company with 501-1,000 employees

Now, with Jenkins, they can focus on coding, push code, and Jenkins automatically manages the process, ensuring security and efficiency, thus improving productivity and decreasing shipping time.

For more quotes and insights, download the Jenkins report

Cloud Architect at a outsourcing company with 51-200 employees

Customer Service

Sentiment score

6.5

Digital.ai Release offers responsive, knowledgeable customer service, praised for comprehensive support options and high availability across time zones.

Sentiment score

6.5

Jenkins users rely on responsive community support and online resources for troubleshooting due to its lack of native support.

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.

Jeanne-Mari Chandran

Software Configuration Specialist at a insurance company with 10,001+ employees

Our finance team and our infrastructure team reached out to their team members, and they responded within a few hours.

Test Manager at a manufacturing company with 501-1,000 employees

We have a release team to help us with Digital.ai Release.

For more quotes and insights, download the Digital.ai Release report

Application Architect at a insurance company with 1,001-5,000 employees

Jenkins is a community-managed tool, so there is no native support.

For more quotes and insights, download the Jenkins report

Cloud Architect at a outsourcing company with 51-200 employees

Scalability Issues

Sentiment score

6.7

Digital.ai Release excels in scalable enterprise orchestration, efficiently managing diverse deployments and user groups, but lacks auto-scaling features.

Sentiment score

7.1

Jenkins scales with master-slave architecture and integrates with Kubernetes and Docker, needing manual intervention for optimization.

Digital.ai Release's scalability is very good, as we can add any number of users and expand it organization-wide or to a handful of teams.

Test Manager at a manufacturing company with 501-1,000 employees

Digital.ai Release's scalability seems to be adequate.

For more quotes and insights, download the Digital.ai Release report

Application Architect at a insurance company with 1,001-5,000 employees

It does not operate on a master-slave architecture that allows for automatic failover.

For more quotes and insights, download the Jenkins report

Cloud Architect at a outsourcing company with 51-200 employees

Stability Issues

Sentiment score

8.0

Digital.ai Release is rated highly reliable by users, executing workflows smoothly with minor issues mostly tied to deployment environments.

Sentiment score

7.1

Jenkins is widely stable, though some users report minor stability issues, particularly in high-demand or complex environments.

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.

Jeanne-Mari Chandran

Software Configuration Specialist at a insurance company with 10,001+ employees

Digital.ai Release is very stable from my perspective.

Victor Bilouro

Release Manager at a consultancy with 201-500 employees

For more quotes and insights, download the Digital.ai Release report

No quotes available

For more quotes and insights, download the Jenkins report

Room For Improvement

Digital.ai Release needs improved simplicity, better integration, enhanced troubleshooting, intuitive design, expanded options, and competitive pricing to satisfy users.

Jenkins needs updates in plugin management, UI, documentation, cloud integration, security, scripting support, and large-scale performance.

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.

Victor Bilouro

Release Manager at a consultancy with 201-500 employees

New users may take time to understand release pipelines and templates, so more guided onboarding tutorials and documentation would help them adapt easily.

Cloud Platform at Futurescape

I would appreciate standardized training material that would give me hands-on experience.

For more quotes and insights, download the Digital.ai Release report

Application Architect at a insurance company with 1,001-5,000 employees

Better plugin maintainability is needed, and given the AI advancements today, AI support in Jenkins would be beneficial.

For more quotes and insights, download the Jenkins report

Cloud Architect at a outsourcing company with 51-200 employees

Setup Cost

Digital.ai Release targets large enterprises, offering high ROI through automation but can be expensive depending on user needs.

Enterprise buyers prefer Jenkins' open-source version for cost-effectiveness, incurring costs mainly from infrastructure and maintenance.

Digital.ai Release is affordable in terms of pricing and setup cost.

Cloud Platform at Futurescape

The pricing, setup cost, and licensing for Digital.ai Release are a little expensive when I look at it, especially the enterprise-level licenses.

For more quotes and insights, download the Digital.ai Release report

Test Manager at a manufacturing company with 501-1,000 employees

While Jenkins is stable and can run on minimal resources, larger environments might incur higher costs due to the need for high-end VMs to run build agents.

For more quotes and insights, download the Jenkins report

Cloud Architect at a outsourcing company with 51-200 employees

Valuable Features

Digital.ai Release streamlines the release process with automation, integration, and analytics, enhancing efficiency and predictability while reducing manual tasks.

Jenkins offers customizable integration with plugins, supporting CI/CD automation and collaboration, enhancing deployment speed for DevOps teams.

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.

Jeanne-Mari Chandran

Software Configuration Specialist at a insurance company with 10,001+ employees

Digital.ai Release standardizes the release process across teams.

For more quotes and insights, download the Digital.ai Release report

Cloud Platform at Futurescape

Involving both infrastructure and application teams in the same pipeline has genuinely helped my process, as we have one specific person starting the pipeline, another approving it, and another coordinating as DevOps or monitoring all processes from the infrastructure side, providing excellent assistance because we have different and clearly separated responsibilities.

Victor Bilouro

Release Manager at a consultancy with 201-500 employees

For more quotes and insights, download the Jenkins report

Cloud Architect at a outsourcing company with 51-200 employees

Categories and Ranking

Digital.ai Release

Ranking in Build Automation

9th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Release Automation (6th), DevSecOps (5th)

Jenkins

Ranking in Build Automation

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Build Automation category, the mindshare of Digital.ai Release is 3.3%, up from 1.3% compared to the previous year. The mindshare of Jenkins is 10.5%, up from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation Mindshare Distribution
Product	Mindshare (%)
Jenkins	10.5%
Digital.ai Release	3.3%
Other	86.2%

Build Automation

Featured Reviews

Standardized releases have reduced errors and now streamline our cloud resource management

Application Architect at a insurance company with 1,001-5,000 employees

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.

Read full review

Automated pipelines have halved deployment time and allow developers to focus only on coding

Cloud Architect at a outsourcing company with 51-200 employees

The best features that Jenkins offers me are high customizability along with the support of Groovy language, which allows me to write my own functions and logic to deploy applications and configure the pipeline according to my use case. Its high integration capability with many plugins is also a significant advantage. For example, we have certain cloud functions running on Google Cloud Run, and we deploy those in the form of containers. Jenkins is highly integratable with Docker through plugins, so we installed those plugins in Jenkins and provided the credentials and logic for execution. Additionally, we have a Bitbucket environment and AWS deployments where we also use Jenkins' strong AWS plugins to deploy resources effectively. Thanks to these plugins, it's easy to deploy rather than creating custom logic. I have covered pretty much everything about the features of Jenkins.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Build Automation solutions are best for your needs.

See recommendations

917,433 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Manufacturing Company

16%

Outsourcing Company

13%

Insurance Company

Financial Services Firm

16%

Manufacturing Company

13%

Outsourcing Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	14
Large Enterprise	58

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Release ?

In terms of pricing, Digital.ai Release is more of an enterprise-level investment. It is not a low-cost tool, and the actual cost depends on factors such as the number of users, deployment needs, a...

What needs improvement with Digital.ai Release ?

A few challenges have been encountered, and from my experience, Digital.ai Release should improve the user interface. It has a lot of functionality, but some areas can be a little too complicated c...

What is your primary use case for Digital.ai Release ?

Digital.ai Release is used primarily to manage and automate the release process across software environments. Instead of having developers, testers, and operation teams coordinating every deploymen...

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?

We are using a community version of Jenkins and did not purchase it through the AWS Marketplace. The main cost for using Jenkins is related to the server it is hosted on and the allocated capacity....

What needs improvement with Jenkins?

Jenkins has many outdated plugins, and several are paid, which can be unnecessary. Better plugin maintainability is needed, and given the AI advancements today, AI support in Jenkins would be benef...

Endor Labs vs Digital.ai Release

Comparisons

Compared 9% of the time

CloudBees vs Digital.ai Release

Compared 8% of the time

GitLab vs Digital.ai Release

Compared 7% of the time

GitHub Actions vs Digital.ai Release

Compared 6% of the time

Plutora vs Digital.ai Release

Compared 5% of the time

More Digital.ai Release Competitors

GitLab vs Jenkins

Compared 6% of the time

Bamboo vs Jenkins

Compared 5% of the time

Harness vs Jenkins

Compared 5% of the time

Travis CI vs Jenkins

Compared 5% of the time

Buildkite vs Jenkins

Compared 3% of the time

More Jenkins Competitors

Product Reports

Download Digital.ai Release product report

Digital.ai Release

October 2026

Download Jenkins product report

October 2026

Also Known As

XL Release, XebiaLabs XL Release

No data available

Overview

Digital.ai Release enhances deployment pipelines, integrating with tools like GitHub and Jenkins. It enables coordination across development, testing, and production while reducing manual efforts, making it ideal for large projects.

Digital.ai Release is designed to automate and orchestrate application deployments, offering features like email approvals, deployment notifications, and system communication with XLD. It supports integration with tools such as Bamboo, Jira, and MS Teams to create standardized deployment processes. While needing a simpler interface for newcomers, it provides efficient handling of environment-specific configurations and process oversight with metrics and data retention. Challenges include the high cost and complexity, with demands for improved mainframe migration support, automated deployment instructions, differentiated pricing by roles, enhanced cloud capabilities, and additional plugins.

What are the key features of Digital.ai Release?

Orchestration: Streamlines coordination across deployment stages.
Automated Workflows: Reduces manual documentation and efforts.
Pipeline Templates: Ensures standardized deployment processes.
Reliable Rollbacks: Facilitates seamless process reversals.
Tool Integrations: Connects with Jira, Bamboo, and MS Teams.
Deployment Notifications: Communicates updates efficiently with systems like XLD.

What benefits should users consider in reviews?

Reduced Manual Effort: Automates processes, saving time and resources.
Consistent Deployment: Ensures repeatable, reliable deployment practices.
Process Oversight: Enhances visibility with metrics and data retention.
Efficient Communication: Improves stakeholder engagement through notifications.

Digital.ai Release has found robust implementation in industries managing large-scale deployments, such as software development and IT services. It assists in orchestrating SQL database upgrades, server deployments, and user orchestration while enhancing release documentation and cross-team communication. This makes it valuable for teams requiring integration and logging through tools like Jira in complex projects like artifact installation and continuous delivery environments.

Digital.ai

Jenkins is an open-source automation server known for its extensive plugin ecosystem and seamless integration with a broad range of tools, enhancing CI/CD processes.

As an automation server, Jenkins streamlines development workflows by managing continuous integration and deployment with powerful pipeline support and distributed build capabilities. Its strong community backbone and ease of use contribute to its ongoing appeal. While highly versatile, Jenkins can encounter scalability and plugin management issues, with areas like cloud integration and security needing attention. It supports automation for build, test, and deployment, ensuring smoother software delivery and infrastructure management across environments.

What are Jenkins's key features?

Extensive Plugin Ecosystem: Allows seamless tool integration.
Open-Source Nature: Backed by a strong community.
CI/CD Optimization: Streamlines development workflows.
Pipeline Support: Facilitates complex scripting.
Distributed Build Management: Efficiently handles multiple environments.

What benefits and ROI should users look for in reviews?

Automation Capabilities: Reduces manual effort.
Scalability: Adapts to growing project needs.
Integration Versatility: Works well with tools like Git.
Community Support: Offers practical solutions and resources.
Ease of Use: Simplifies complex automation processes.

Jenkins is implemented in industries focused on continuous software delivery and infrastructure management, including technology firms, finance sectors needing robust deployment pipelines, and enterprise environments requiring complex workflow automation. Companies leverage its automation to enhance productivity and minimize errors in development processes.

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