Digital.ai Release vs GitHub Actions comparison

Digital.ai and GitHub are both solutions in the Build Automation category. Digital.ai is ranked #17 with an average rating of 7.0, while GitHub is ranked #5 with an average rating of 8.5. Digital.ai holds a 0.8% mindshare in BA, compared to GitHub’s 11.1% mindshare. Additionally, 100% of Digital.ai users are willing to recommend the solution, compared to 100% of GitHub users who would recommend it.

Digital.ai Release

Read 4 Digital.ai Release reviews

494 Views
258 Comparison Views

100% willing to recommend

GitHub Actions

Read 21 GitHub Actions reviews

2,330 Views
2,011 Comparison Views

100% willing to recommend

Digital.ai Release

GitHub Actions

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 5, 2025

Digital.ai Release and GitHub Actions compete in the CI/CD space. GitHub Actions has the upper hand due to its seamless integration with the GitHub ecosystem and flexible automation.

Features: Digital.ai Release is recognized for its detailed release orchestration, robust deployment capabilities, and integration with tools like XLD and Bamboo. It also boasts comprehensive management features that support multi-environment processes. GitHub Actions stands out for its easy automation setup, strong integration with GitHub, and flexibility in configuring CI/CD workflows through YAML files, enhancing developer productivity.

Room for Improvement: Digital.ai Release could enhance user interface intuitiveness and simplify complex configurations for less technical users. Improving scalability and user community engagement would also be beneficial. GitHub Actions might benefit from expanded support for proprietary software, improved error reporting, and more comprehensive documentation to assist new users in navigating advanced features.

Ease of Deployment and Customer Service: Digital.ai Release is tailored for large organizations with complex deployment needs, offering robust support for multi-cloud and on-premises operations. GitHub Actions provides a simpler deployment model within the GitHub platform, supported by a large community that offers intuitive support for developers familiar with GitHub, streamlining deployment in continuous integration environments.

Pricing and ROI: Digital.ai Release incurs higher initial costs, offering potentially higher ROI for large-scale implementations with enterprise-grade functionalities and extensive support. GitHub Actions is more cost-effective for smaller teams, with lower setup costs and a pay-as-you-go model that aligns with usage, providing better ROI for teams invested in the GitHub ecosystem.

To learn more, read our detailed Digital.ai Release vs. GitHub Actions Report (Updated: March 2025).

Buyer's Guide

Digital.ai Release vs. GitHub Actions

March 2025

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Helped 845,406 peers since 2012

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

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

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

DevOps Tech Lead at a financial services firm with 5,001-10,000 employees

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…

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Muzammil Riaz

Senior Test Engineer at 10Pearls

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.

Read full review

Quotes from Members

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

Pros

"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 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."

"We can trigger files manually or automate processes."

"GitHub Actions helps automate the deployment process, eliminating manual copying and testing, which saves time and minimizes errors."

"GitHub Actions is valuable for its ease of use and integration."

"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."

"The product's most beneficial feature is the ability to create workflows within the solution."

"It is user-friendly, with clear and organized processes, making it easy to navigate and work with."

"It is easy to use, especially if you are accustomed to using GitHub."

More GitHub Actions pros

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."

"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 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."

"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 UI could be better."

"There could be more integration options with different platforms."

"My company would want to see some AI features in the tool as it can add value to the product."

"GitHub sometimes makes it difficult to debug actions."

"The main improvement would be to add support for more programming languages and frameworks."

"Improvements could be made in terms of time-saving capabilities and resolving potential complexities in centralized workflows."

More GitHub Actions cons

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 tool's price is okay and reasonable."

"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."

"It's low-priced. Not high, but definitely low."

"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

52%

Financial Services Firm

22%

Computer Software Company

Healthcare Company

Financial Services Firm

18%

Computer Software Company

12%

Manufacturing Company

12%

Comms Service Provider

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.

See all answers

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...

See all answers

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.

See all answers

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...

See all answers

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.

See all answers

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.

See all answers

Comparisons

Jenkins vs Digital.ai Release

Compared 65% of the time

GitLab vs Digital.ai Release

Compared 35% of the time

More Digital.ai Release Competitors

Tekton vs GitHub Actions

Compared 36% of the time

Bamboo vs GitHub Actions

Compared 16% of the time

Harness vs GitHub Actions

Compared 11% of the time

TeamCity vs GitHub Actions

Compared 11% of the time

CircleCI vs GitHub Actions

Compared 4% of the time

More GitHub Actions Competitors

Product Reports

Buyer's Guide

Digital.ai Release

March 2025

Download Digital.ai Release product report

Buyer's Guide

GitHub Actions

March 2025

Download GitHub Actions product report

Also Known As

XL Release, XebiaLabs XL Release

No data available

Overview

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

GitHub Actions streamlines CI/CD processes with an intuitive YAML workflow and robust automation, enhancing efficiency and integration with third-party tools and cloud providers.

GitHub Actions automates development pipelines, supports scalable public and private runners, and manages secure secrets. This tool integrates seamlessly with platforms like AWS, Kubernetes, Google Cloud, and Databricks. It enhances DevOps workflows with reliable task automation. Users note areas for UI and deployment tool improvements, artifact management simplification, and additional programming language support. Debugging complexity and hosting agent transitions pose challenges, along with integration enhancements for tools like OneDrive.

What are GitHub Actions' key features?

YAML Workflow Creation: Simplifies configuration with intuitive YAML.
CI/CD Integration: Provides seamless integration within DevOps pipelines.
Automation Capabilities: Automates tasks with minimal manual intervention.
Third-Party Tool Compatibility: Works well with diverse tools and platforms.
Secure Secrets Management: Protects sensitive information effectively.

What benefits do users find in GitHub Actions?

Enhanced Performance: Boosts task execution speed and reliability.
Scalability: Supports growth with flexible runner options.
Improved Release Cycles: Ensures consistent updates and deployments.
Workflow Efficiency: Reduces manual tasks, increasing operational efficiency.

Companies in tech and software development frequently utilize GitHub Actions for integrating, deploying, and versioning projects. It is often employed for deploying applications to cloud environments like AWS and Kubernetes, managing extensive CI/CD workflows, and automating test and security operations, thereby streamlining production cycles across industries.

GitHub

Sample Customers

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

Information Not Available

Buyer's Guide

Digital.ai Release vs. GitHub Actions

March 2025

Free Report: Digital.ai Release vs. GitHub Actions

Find out what your peers are saying about Digital.ai Release vs. GitHub Actions and other solutions. Updated: March 2025.

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