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Digital.ai Release vs GitHub Actions 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 (9th)
GitHub Actions
Ranking in Build Automation
4th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.9%, down from 0.9% compared to the previous year. The mindshare of GitHub Actions is 11.5%, up from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

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.
MohamedMostafa1 - PeerSpot reviewer
Handles scalability well, automatically managing execution infrastructure without requiring additional configurationsThe automation feature of GitHub Actions is
I find the automation feature of GitHub Actions most valuable for our building processes. It integrates seamlessly with GitHub, so there's no extra configuration needed, making the building process easy and efficient. GitHub Actions handles scalability well, automatically managing execution infrastructure without requiring additional configurations. We haven't yet explored GitHub Actions' support for AI projects, as we haven't used its AI capabilities.

Quotes from Members

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

Pros

"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."
"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 solution can apply one template across multiple applications."
"The most valuable features of GitHub Actions include its seamless integration within GitHub, which simplifies the CI/CD pipeline setup. The scalability of using different types of runners—both public and private runners—enhances deployment flexibility."
"It is a very stable solution as we have not faced any issues."
"I am familiar with the entire life cycle of the product."
"The main benefit is collaboration. It allows us to easily collaborate with other developers, regardless of location. For example, we can collaborate with both our African and German colleagues seamlessly. It's platform-agnostic, so it is flexible and not tied to any OS, so we can work on Linux, Windows, web, and even Oracle applications. It's flexible, reliable, and overall an excellent tool for our needs."
"The most valuable feature of GitHub Actions is the ability to automate various tasks, such as backups and deployments, to ease the development workflow."
"Creating workflows in YAML format is straightforward and easy to comprehend. This includes both understanding and writing workflows. Additionally, the downloading aspect for third-party instances can also be easily done. It's worth noting that vulnerability analysis and similar tasks should be part of our automation through data workflows. Furthermore, we can break down our processes step by step, starting from building, then moving on to analysis, testing, and finally deploying in production and the clear environment. All of these tasks can be efficiently managed within this platform."
"GitHub Actions is a beautiful tool that integrates smoothly with all major tools, reducing CI/CD work by 30% to 40%."
"It offers numerous built-in features for pipeline management, release management, and even work item tracking on boards, which makes it a versatile tool that seamlessly integrates with hardware and facilitates optimization."
 

Cons

"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."
"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."
"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."
"My company would want to see some AI features in the tool as it can add value to the product."
"Switching between hosted and self-hosted agents can be a bit complex, as self-hosted agents need to be provisioned in platforms like Azure or AWS."
"The main improvement would be to add support for more programming languages and frameworks."
"We can leverage this database tool to manage everything within our environment and data burners, allowing for customization and execution. An additional advantage is the capability to modify aspects like file size, making processes more efficient and faster across the pipelines. Regarding improvements or implementations, I believe there should be enhancements made to the deployment tool. It should be integrated as part of the solution. Infrastructure-wise, we already have tools like GitHub and RobSpot, and data enables us to automate various processes, which is quite beneficial. As for further enhancements, I'm uncertain. I've shared everything I know. However, if there's something specific you'd like to see in future releases, a feature that may not exist yet but would be desirable, I can't provide any input on that matter."
"The primary area for improvement I see is in artifact management, especially for saving screenshots or videos from failed tests or data-driven actions. Currently, the configuration for saving these artifacts is complex."
"The minor drawback of GitHub Actions is the management of the dashboard and pipeline runs, which needs improvement. The dashboard for running pipelines could be better."
"Sometimes it is quite complex to commit code from our local system to the GitHub repository; creating a folder in GitHub can be tedious."
"The main challenge I've experienced is with integration, particularly uploading to OneDrive, which was more complex compared to Google Drive or AWS S3 bucket."
 

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 product is slightly more expensive than some alternatives."
"The tool's price is okay and reasonable."
"Price-wise, GitHub Actions is okay. If I want to use the product's advanced features, then I need to pay the licensing charges for the solution."
"It is free and open platform, so I would rate it 1 out of 10."
"It's low-priced. Not high, but definitely low."
"Regarding cost, as an enterprise, we negotiate our license and expenses, so I can't provide a specific rating for that."
"For our basic usage, we didn't have to pay."
"The cost for GitHub Actions may be around $45 dollars per user."
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Top Industries

By visitors reading reviews
Educational Organization
34%
Financial Services Firm
27%
Computer Software Company
12%
Government
5%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 ...
What do you like most about GitHub Actions?
I have optimized job execution time by running test scripts in parallel and creating multiple pipelines; we've significantly reduced execution times. What could take 50 minutes can be cut down to j...
What is your experience regarding pricing and costs for GitHub Actions?
I would rate pricing a seven, which leans toward the expensive side. However, there is still value for money, and that's why we continue using it.
What needs improvement with GitHub Actions?
I would need to check with my team about specific shortcomings. We still use Jenkins ( /products/jenkins-reviews ) for some tasks, which suggests there may be areas for improvement in GitHub Actions.
 

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
Information Not Available
Find out what your peers are saying about Digital.ai Release vs. GitHub Actions and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.