Digital.ai Release vs GitHub Actions comparison

Digital.ai and GitHub are both solutions in the Build Automation category. Digital.ai is ranked #15 with an average rating of 8.0, while GitHub is ranked #4 with an average rating of 8.5. Digital.ai holds a 1.0% mindshare in BA, compared to GitHub’s 11.5% 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

658 Views
441 Comparison Views

100% willing to recommend

GitHub Actions

Read 22 GitHub Actions reviews

2,693 Views
2,693 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: July 2025).

Buyer's Guide

Digital.ai Release vs. GitHub Actions

July 2025

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Helped 864,053 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

15th

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

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

GitHub Actions

Ranking in Build Automation

4th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Build Automation category, the mindshare of Digital.ai Release is 1.0%, up from 0.9% compared to the previous year. The mindshare of GitHub Actions is 11.5%, up from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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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MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

Integration with various environments and cloud providers enhances automation

I use GitHub Actions for CI/CD pipelines. I automate infrastructure, deployment, and all processes. Most companies use CI/CD pipelines, and GitHub Actions is one of the tools available for this purpose The most valuable feature of GitHub Actions is that it is completely free. It can be integrated…

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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 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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."

"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."

"GitHub Actions is a beautiful tool that integrates smoothly with all major tools, reducing CI/CD work by 30% to 40%."

"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."

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

"I am familiar with the entire life cycle of the product."

"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."

"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."

"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 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."

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."

"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 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."

"The solution's integration capabilities and UI are areas of concern where improvement is required to make the product more user-friendly."

"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."

"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."

"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 only issue I have faced is with authorization, particularly when configuring the GitHub token correctly."

"We still use Jenkins for some tasks, which suggests there may be areas for improvement in GitHub Actions."

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

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."

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

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

"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."

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

"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."

"The tool's price is okay and reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

40%

Computer Software Company

16%

Healthcare Company

Government

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

11%

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 ?

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?

Frankly, I cannot imagine something that could be improved in GitHub Actions; there's a lot of capabilities, and the feature set is more advanced than we use. The pricing is high for the advanced s...

See all answers

Comparisons

Jenkins vs Digital.ai Release

Compared 37% of the time

GitLab vs Digital.ai Release

Compared 32% of the time

CloudBees vs Digital.ai Release

Compared 32% of the time

More Digital.ai Release Competitors

Tekton vs GitHub Actions

Compared 33% of the time

Harness vs GitHub Actions

Compared 14% of the time

Bamboo vs GitHub Actions

Compared 14% of the time

TeamCity vs GitHub Actions

Compared 9% of the time

Buildkite vs GitHub Actions

Compared 4% of the time

More GitHub Actions Competitors

Product Reports

Buyer's Guide

Digital.ai Release

July 2025

Download Digital.ai Release product report

Buyer's Guide

GitHub Actions

July 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

July 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: July 2025.

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