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CloudBees vs Digital.ai Release 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

CloudBees
Ranking in Build Automation
6th
Ranking in DevSecOps
5th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
20
Ranking in other categories
Configuration Management (11th), Value Stream Management Software (3rd)
Digital.ai Release
Ranking in Build Automation
19th
Ranking in DevSecOps
12th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (12th)
 

Mindshare comparison

As of May 2025, in the Build Automation category, the mindshare of CloudBees is 1.2%, up from 0.1% compared to the previous year. The mindshare of Digital.ai Release is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

YashBrahmani - PeerSpot reviewer
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.
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.

Quotes from Members

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

Pros

"The initial setup is easy."
"Scalability largely depends on how the tool is set up within your infrastructure"
"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."
"It can manage multiple Jenkins instances."
"CloudBees operates seamlessly. Deploying to a cluster is straightforward—just one click, and the job is done."
"It’s a very good tool for auditing your project pipelines as well."
"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."
"The solution's most valuable feature is its flexibility."
"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 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."
"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."
 

Cons

"If you're logged in and working for about thirty minutes and then go idle for five to ten minutes, Jenkins will prompt you to re-authenticate."
"The platform could integrate better with other tools and support external tools directly."
"I would like to see improved speed and availability."
"The user interface of CloudBees is good but could be even more intuitive. Improving the user-friendliness of the interface and having simpler setup configurations would greatly benefit new users."
"I think a preview of the errors would be good just at the point where the error occurs."
"There could be improvements in the ease of use."
"To use the tool, you need to be familiar with the tool itself and with how it will be incorporated into the culture."
"I noticed that CloudBees runs too slowly because some applications run more than 50 pipelines."
"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 solution is a little bit expensive."
"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 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
"The solution's license includes all features."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Manufacturing Company
14%
Legal Firm
11%
Computer Software Company
9%
Educational Organization
43%
Financial Services Firm
25%
Computer Software Company
10%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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.
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.
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.
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 ?
There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...
What is your primary use case for Digital.ai Release ?
It helps with creating documentation, release processes, deploying to lower environments, scheduling meetings, and sending emails to stakeholders. The goal is to reduce manual work and save time.
 

Comparisons

 

Also Known As

No data available
XL Release, XebiaLabs XL Release
 

Overview

 

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
Find out what your peers are saying about CloudBees vs. Digital.ai Release and other solutions. Updated: April 2025.
851,604 professionals have used our research since 2012.