We performed a comparison between Digital.ai Release and Tekton 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 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."
"Tekton is an orchestrator. It provides seamless integration for our pipelines. It offers robust support for executing tasks within the pipeline, allowing us to set up and run pipelines quickly."
"Tekton is serverless and runs on OpenShift, and we leverage Tekton to take full advantage of the Kubernetes features such as running and scaling the solution in PaaS."
"Its seamless integration with Kubernetes, being built on top of it and utilizing Custom Resource Definitions, ensures a smooth experience within Kubernetes environments exclusively."
"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."
"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."
"There might be occasional issues with storage or cluster-level logging, which can affect production."
"It tends to occupy a significant amount of disk space on the node, which could potentially pose challenges."
"Configuring Tekton requires a deep understanding of Kubernetes, which can be difficult for developers."
Digital.ai Release is ranked 10th in Build Automation with 4 reviews while Tekton is ranked 3rd in Build Automation with 3 reviews. Digital.ai Release is rated 8.2, while Tekton is rated 6.4. 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 Tekton writes "Provides seamless integration for pipelines, allowing easy setup and execution of tasks but working with YAML files in Tekton can be challenging to modify ". Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, Bamboo, IBM Rational Build Forge and Digital.ai Deploy, whereas Tekton is most compared with GitLab, GitHub Actions, Harness, Travis CI and Jenkins. See our Digital.ai Release vs. Tekton report.
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