We performed a comparison between Digital.ai Release and GitHub Actions based on real PeerSpot user reviews.
Find out in this report how the two Build Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 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."
"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 most valuable feature of the solution is that it is a good product that offers stability and performance."
"It offers numerous built-in features for pipeline management, release management, and even work item tracking on boards, which makes it a versatile tool that seamlessly integrates with hardware and facilitates optimization."
"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."
"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 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."
"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."
"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 is a part that detects outdated libraries. If that feature could be more intuitive and informative, that would be nice."
"The reporting capabilities are somewhat limited."
"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."
"The solution's integration capabilities and UI are areas of concern where improvement is required to make the product more user-friendly."
"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."
Digital.ai Release is ranked 12th in Build Automation with 4 reviews while GitHub Actions is ranked 7th in Build Automation with 6 reviews. Digital.ai Release is rated 8.2, while GitHub Actions is rated 8.4. The top reviewer of Digital.ai Release writes "Effectively automates deployments and applies one template across applications". On the other hand, the top reviewer of GitHub Actions writes "Facilitates connectivity for developers and allows us to easily collaborate with other developers, regardless of location". Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, IBM Rational Build Forge, GitLab and Bamboo, whereas GitHub Actions is most compared with Tekton, Bamboo, AWS CodePipeline, GitLab and Harness. See our Digital.ai Release vs. GitHub Actions report.
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