Digital.ai Release vs GitHub Actions comparison

Digital.ai and GitHub are both solutions in the Build Automation category. Digital.ai is ranked #13 with an average rating of 8.0, while GitHub is ranked #3 with an average rating of 8.4. Digital.ai holds a 1.6% mindshare in BA, compared to GitHub’s 9.2% 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 5 Digital.ai Release reviews

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471 Comparison Views

100% willing to recommend

GitHub Actions

Read 23 GitHub Actions reviews

2,899 Views
2,899 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: December 2025).

Buyer's Guide

Digital.ai Release vs. GitHub Actions

December 2025

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Helped 879,259 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

13th

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Release Automation (8th), DevSecOps (9th)

GitHub Actions

Ranking in Build Automation

3rd

Average Rating

8.4

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2025, in the Build Automation category, the mindshare of Digital.ai Release is 1.6%, up from 0.8% compared to the previous year. The mindshare of GitHub Actions is 9.2%, down from 10.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation Market Share Distribution
Product	Market Share (%)
GitHub Actions	9.2%
Digital.ai Release	1.6%
Other	89.2%

Build Automation

Featured Reviews

Jeanne-Mari Chandran

Software Configuration Specialist at a insurance company with 10,001+ employees

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.

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Bharadwaj Deepak Mohapatra

DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED

Has supported repository management and demonstrates potential in workflow flexibility

While GitHub Actions offers a range of functionalities, it is newer compared to more established tools such as Jenkins and Azure DevOps. There is still room for improvement, especially in areas concerning deeper capabilities akin to those provided by Jenkins and Azure DevOps. Given the evolving nature of technology, there are potential improvements GitHub Actions can focus on, including enhancing support and reliability to match its competitors.

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 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 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 solution can apply one template across multiple applications."

"It is a very stable solution as we have not faced any issues."

"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."

"GitHub Actions can be easily configured, especially for environment variables and secrets. The UI is understandable and user-friendly for setting up CI/CD pipelines. I prefer tools like GitLab, where the pipeline starts quickly and is accessible near the commits for easy access. However, many CI/CD tools are interchangeable due to similar features of GitHub Actions and other similar tools."

"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 improves efficiency as it involves no downtime and is managed by GitHub."

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

"We can trigger files manually or automate processes."

"The level of automation achievable is really good. So, the custom workflow creation and Marketplace Actions improved our project's efficiency."

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."

"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."

"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."

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

"GitHub Actions lacks a feature for automating the build process for mobile applications."

"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."

"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."

"In terms of improvements, I think better logging for debugging purposes would be helpful, especially for complex workflows."

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

"The UI could be better."

"While GitHub Actions offers a range of functionalities, it is newer compared to more established tools such as Jenkins and Azure DevOps. There is still room for improvement, especially in areas concerning deeper capabilities akin to those provided by Jenkins and Azure DevOps."

More GitHub Actions cons

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."

"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 cost for GitHub Actions may be around $45 dollars per user."

"For our basic usage, we didn't have to pay."

"The product is slightly more expensive than some alternatives."

"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 tool's price is okay and reasonable."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Computer Software Company

14%

Insurance Company

11%

Healthcare Company

Financial Services Firm

18%

Manufacturing Company

12%

Computer Software Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	11

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 ?

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 ...

See all answers

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 ...

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 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.

See all answers

What needs improvement with GitHub Actions?

See all answers

Comparisons

IBM Rational Build Forge vs Digital.ai Release

Compared 21% of the time

Jenkins vs Digital.ai Release

Compared 18% of the time

CloudBees vs Digital.ai Release

Compared 18% of the time

GitLab vs Digital.ai Release

Compared 16% of the time

Red Hat Ansible Automation Platform vs Digital.ai Release

Compared 14% of the time

More Digital.ai Release Competitors

Tekton vs GitHub Actions

Compared 24% of the time

Harness vs GitHub Actions

Compared 14% of the time

Bamboo vs GitHub Actions

Compared 9% of the time

TeamCity vs GitHub Actions

Compared 9% of the time

Buildkite vs GitHub Actions

Compared 7% of the time

More GitHub Actions Competitors

Product Reports

Buyer's Guide

Digital.ai Release

December 2025

Download Digital.ai Release product report

Buyer's Guide

GitHub Actions

December 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

December 2025

Free Report: Digital.ai Release vs. GitHub Actions

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