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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
17th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Release Automation (12th), DevSecOps (12th)
GitHub Actions
Ranking in Build Automation
5th
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 April 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.8%, down from 1.0% compared to the previous year. The mindshare of GitHub Actions is 11.1%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

Navanath Gajare - PeerSpot reviewer
Effectively automates deployments and applies one template across applications
Our company uses the solution to handle deployments for new releases. Whenever there is a new release, the solution creates a new provision template for deployment. We also orchestrate and manage all users. We integrate with other tools like GitHub, Jenkins, or Digital.ai Deploy to manage…
Muzammil Riaz - PeerSpot reviewer
Offers version control, automated script execution and reduces manual efforts
Its integration and deployment are quite easy. You need to create a YAML file in your project, detailing configurations within this file. It integrates itself, requiring you to specify titles, descriptions, parameters, and a trigger scheduler if needed. Apart from that, it's just a simple YAML file, so there's no need for complex configurations. In one project, I used GitHub to automate an application related to email marketing, focusing on actions for data scraping. This required running scripts daily, sometimes even twice or thrice a day. Manually executing these scripts is inefficient and overly reliant on individual team members. However, by integrating the project with GitHub Actions, we automated script execution. Triggers were set up to initiate the pipeline automatically with every new commit or push to a branch. Additionally, we implemented schedulers to run pipelines at predetermined times, like 9 PM or 2 PM. Another enhancement was executing five tests in parallel through data actions, making the process more robust. GitHub Actions also offers stepwise execution details, greatly aiding in understanding and managing workflows. 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 just 8 to 10 minutes through these optimizations.

Quotes from Members

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

Pros

"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."
"The solution can apply one template across multiple applications."
"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 the solution is that it is a good product that offers stability and performance."
"The product's most beneficial feature is the ability to create workflows within the solution."
"The level of automation achievable is really good. So, the custom workflow creation and Marketplace Actions improved our project's efficiency."
"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."
"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 helps automate the deployment process, eliminating manual copying and testing, which saves time and minimizes errors."
"It is easy to use, especially if you are accustomed to using GitHub."
"It improves efficiency as it involves no downtime and is managed by GitHub."
 

Cons

"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."
"The solution is a little bit expensive."
"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."
"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."
"In terms of improvements, I think better logging for debugging purposes would be helpful, especially for complex workflows."
"Sometimes it is quite complex to commit code from our local system to the GitHub repository; creating a folder in GitHub can be tedious."
"There is a part that detects outdated libraries. If that feature could be more intuitive and informative, that would be nice."
"GitHub sometimes makes it difficult to debug actions."
"The UI could be better."
"Improvements could be made in terms of time-saving capabilities and resolving potential complexities in centralized workflows."
"Sometimes incremental steps should be taken during deployment instead of trying to execute all tasks simultaneously, particularly when dealing with AWS EKS clusters and Helm charts."
"In our company, procedures or rules need to be completed, which is not a problem with GitHub Actions but with our process."
 

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

By visitors reading reviews
Educational Organization
49%
Financial Services Firm
23%
Computer Software Company
9%
Healthcare Company
5%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
12%
Healthcare Company
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 ?
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.
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 pay approximately five dollars per developer per month. I created a GitHub organization for managing users.
What needs improvement with GitHub Actions?
GitHub Actions lacks a feature for automating the build process for mobile applications. I currently rely on GitHub Actions for web applications but have to use another tool for mobile apps.
 

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: April 2025.
847,862 professionals have used our research since 2012.