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Digital.ai Release vs GitHub Actions comparison

 

Comparison Buyer's Guide

Executive Summary

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
18th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Release Automation (13th), DevSecOps (12th)
GitHub Actions
Ranking in Build Automation
5th
Average Rating
8.6
Number of Reviews
20
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.8%, down from 1.1% compared to the previous year. The mindshare of GitHub Actions is 10.7%, up from 2.7% 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 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 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."
"I am familiar with the entire life cycle of the product."
"The level of automation achievable is really good. So, the custom workflow creation and Marketplace Actions improved our project's efficiency."
"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."
"GitHub Actions is a beautiful tool that integrates smoothly with all major tools, reducing CI/CD work by 30% to 40%."
"The product's most beneficial feature is the ability to create workflows within the solution."
"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."
"It is user-friendly, with clear and organized processes, making it easy to navigate and work with."
"The most valuable feature of the solution is that it is a good product that offers stability and performance."
 

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."
"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."
"The solution is a little bit expensive."
"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 UI could be better."
"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."
"The solution's integration capabilities and UI are areas of concern where improvement is required to make the product more user-friendly."
"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."
"The reporting capabilities are somewhat limited."
"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."
"GitHub sometimes makes it difficult to debug actions."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
"The cost for GitHub Actions may be around $45 dollars per user."
"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."
"It is free and open platform, so I would rate it 1 out of 10."
"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."
"It's low-priced. Not high, but definitely low."
"For our basic usage, we didn't have to pay."
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Top Industries

By visitors reading reviews
Educational Organization
55%
Financial Services Firm
21%
Computer Software Company
8%
Healthcare Company
4%
Financial Services Firm
18%
Computer Software Company
13%
Manufacturing Company
12%
Comms Service Provider
6%
 

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: January 2025.
838,713 professionals have used our research since 2012.