CloudBees vs Digital.ai Release comparison

CloudBees and Digital.ai are both solutions in the Build Automation category. CloudBees is ranked #6 with an average rating of 8.3, while Digital.ai is ranked #15 with an average rating of 8.0. CloudBees holds a 2.4% mindshare in BA, compared to Digital.ai’s 2.3% mindshare. Additionally, 100% of CloudBees users are willing to recommend the solution, compared to 100% of Digital.ai users who would recommend it.

CloudBees

Read 20 CloudBees reviews

2,032 Views
894 Comparison Views

100% willing to recommend

Digital.ai Release

Read 5 Digital.ai Release reviews

1,094 Views
656 Comparison Views

100% willing to recommend

CloudBees

Digital.ai Release

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 15, 2026

Digital.ai Release and CloudBees are competing in the release management and continuous integration markets. CloudBees appears to have the upper hand due to its comprehensive features, making it a worthwhile investment despite Digital.ai's strong pricing and support.

Features: Digital.ai Release offers automated deployments, scalability, and strong integration capabilities with MS Teams notifications, Bamboo, Flyway, and Jira. CloudBees leverages Jenkins-based automation with flexibility, a robust plugin ecosystem, and advanced security features, supporting multiple vendors and networking components such as Kubernetes and Docker.

Room for Improvement: Digital.ai could enhance its feature set for broader functionality and improve integration with newer tools. Its communication for notifications could be more customizable, and the deployment rollback processes could be streamlined further. CloudBees might improve support consistency, manage version mismatch issues effectively, and could offer enhancements in GUI customization to better cater to enterprise-specific needs.

Ease of Deployment and Customer Service: Digital.ai Release provides a structured and streamlined deployment with efficient customer support to meet enterprise needs. CloudBees allows customizable deployment models, but support quality varies, offering flexibility to handle various deployment scenarios.

Pricing and ROI: Digital.ai Release generally offers lower initial setup costs, making it budget-friendly with a favorable ROI in cost-effective packages. CloudBees, despite a higher initial price, provides significant long-term benefits and potential higher returns over time due to its extensive feature set.

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

Buyer's Guide

CloudBees vs. Digital.ai Release

March 2026

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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

CloudBees

Ranking in Build Automation

6th

Ranking in DevSecOps

5th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Configuration Management (11th), Value Stream Management Software (2nd), AI-Augmented Software-Testing Tools (2nd), Feature Management (1st), AI Software Development (8th)

Digital.ai Release

Ranking in Build Automation

15th

Ranking in DevSecOps

7th

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Release Automation (10th)

Mindshare comparison

As of March 2026, in the Build Automation category, the mindshare of CloudBees is 2.4%, up from 1.0% compared to the previous year. The mindshare of Digital.ai Release is 2.3%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation Mindshare Distribution
Product	Mindshare (%)
CloudBees	2.4%
Digital.ai Release	2.3%
Other	95.3%

Build Automation

Featured Reviews

YashBrahmani

Senior Associate at BNP Paribas CIB

Offers a clear visualization and overview of workflows and helpful in managing CI/CD processes

Improvement in the sense that they can do better in terms of management of logs and stuff like that because the console logs are very extensive, and that causes a lot of storage issues. That is one of the things which is there. Also, with respect to the traditional platform and the modern platform, many things have upgraded, and it has quite improved. But when we talk about the performance of the agents, it’s still very crucial because it’s not up to par. It takes a lot of time to provision the agent and to finish the build because of the SSH connection and the JNLP connection. Due to that, sometimes the agent doesn’t get provisioned. Those are some of the blockers that meet up the time in terms of administering the instance.

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Jeanne-Mari Chandran

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.

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Quotes from Members

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

Pros

"One recent product feature that stands out is the pipeline explorer, which is providing significant value for us right now."

"CloudBees is the Jenkins tool for building and deploying. There's open-source Jenkins, which is free and can be used by any organization, but it offers a different architecture for Jenkins. If your organization is larger, you might choose the architecture. This way, you can have different masters for different applications, and different teams can manage their masters separately. However, a single person can still control all the masters, whoever manages it for the organization."

"CloudBees assists by automating tasks, previously done manually, in the pipeline setup."

"The most valuable features are Java features, microservice communication, payment validation, Jenkins Sonar, management master to CloudBees, Blue Ocean, JobConfig, and support."

"I find the automation feature most valuable. CloudBees is highly scalable and supports both small and large teams. The deployment process is also faster when compared to on-premise."

"The most valuable feature of the solution is that its GUI is quite simple."

"The customer support is good. You get good representatives from CloudBees to help you and understand your requirements."

"CloudBees's user interface is very simple and user-friendly."

More CloudBees pros

"The solution can apply one template across multiple applications."

"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 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 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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."

Cons

"Sometimes, there are performance issues, however, they may be due to our organization's configuration."

"We did face some challenges, particularly with the infrastructure."

"One challenge I'd like to highlight is that with CloudBees CI growing bigger and bigger, there are limitations in terms of managing old plugins and services and upgrading them with time."

"A lot of stability issues are there with CloudBees."

"The setup is somewhat complicated. You need a cloud architect and engineer to set it up properly. The initial setup will take time, so you need a good engineer and architect to handle it."

"To use the tool, you need to be familiar with the tool itself and with how it will be incorporated into the culture."

"We've noticed occasional issues with folder permissions changing unexpectedly. Specifically, permissions sometimes shift from the CloudBees user to the root user. This can cause pipeline failures, as pipelines require the correct CloudBees user permissions to execute properly."

"There could be improvements in the ease of use."

More CloudBees cons

"The solution is a little bit expensive."

"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."

"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 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."

Pricing and Cost Advice

Information not available

"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

Financial Services Firm

19%

Manufacturing Company

11%

Legal Firm

Computer Software Company

Financial Services Firm

28%

Computer Software Company

11%

Insurance Company

10%

Manufacturing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	3
Large Enterprise	17

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

Questions from the Community

What needs improvement with CloudBees?

There are connection issues with CloudBees, specifically between Sybase and CloudBees. We often encounter connection problems, and there are issues with the pipelines.

See all answers

What is your primary use case for CloudBees?

We use CloudBees for deploying the code in higher environments, such as QA, C2, staging, and production.

See all answers

What advice do you have for others considering CloudBees?

I would recommend CloudBees to others because building jobs is much easier than with other solutions.

See all answers

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.

See all answers

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 ...

See all answers

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 ...

See all answers

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Compared 8% of the time

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Compared 8% of the time

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Compared 6% of the time

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Compared 5% of the time

Bamboo vs Digital.ai Release

Compared 5% of the time

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Product Reports

Buyer's Guide

CloudBees

March 2026

Download CloudBees product report

Buyer's Guide

Digital.ai Release

March 2026

Download Digital.ai Release product report

Also Known As

No data available

XL Release, XebiaLabs XL Release

Overview

CloudBees provides a highly scalable and secure platform that supports seamless integration and automation across multiple environments. It excels in managing Jenkins instances and offers flexible deployment options, enhancing efficiency for large teams.

CloudBees is recognized for its integration with Jenkins, SonarQube, and Ansible, allowing companies to leverage its robust automation capabilities for continuous integration and deployment. With its strong support for Docker and Kubernetes, teams benefit from streamlined code management and operational efficiency. Its scalable architecture, real-time feedback, and premium vendor support help manage large-scale applications and microservices. Despite its strengths, users report challenges with pipeline setup, service availability, and GUI accessibility, which suggest room for improvement in these areas.

What are the key features of CloudBees?

User-friendly interface: Simplifies navigation and improves workflow efficiency.
Robust scalability: Supports growth and large-scale application management.
Advanced security: Ensures data security and compliance.
Integration capabilities: Seamlessly integrates with Jenkins, SonarQube, and Ansible.
Flexible deployment: Adapts to different infrastructure needs across environments.

What benefits should users expect in reviews?

Enhanced efficiency: Automation reduces manual workload.
Real-time feedback: Provides immediate insights into pipeline performance.
Vendor support: Offers assistance for troubleshooting and growth.
Scalable architecture: Accommodates business expansion requirements.

In tech and software industries, companies implement CloudBees for managing complex CI/CD pipelines. Its integration with DevOps tools facilitates automation and workflow optimization. Industries with large teams managing thousands of microservices use CloudBees to maintain high availability, streamline processes, and ensure security compliance, driving efficient production workflows.

CloudBees

Automate, orchestrate, and gain visibility into your release pipelines at scale using Digital.ai Release, a release management tool that is designed for enterprises. Control and track releases, standardize processes, and bake compliance and security into your software release pipelines.

Digital.ai

Sample Customers

Capital One, PEGA, vistaprint, HSBC, BOSCH, Starbucks Coffee

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank

Buyer's Guide

CloudBees vs. Digital.ai Release

March 2026

Free Report: CloudBees vs. Digital.ai Release

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