We performed a comparison between Digital.ai Release and Microsoft Azure DevOps based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 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."
"Before using this solution, we had to deploy our applications, from pre-production to production, manually."
"The solution is good for everything, including end-to-end planning and its deployment and testing."
"Typically the sprints themselves and managing the tasks have essentially eliminated our need for reporting."
"The tool's most efficient feature is the integration of its services in one place. It is an easy-to-use product that improves productivity. Microsoft Azure DevOps is also user-friendly. Its documentation is clear and can be found on Google."
"In Microsoft Azure DevOps, you have a one shop to get everything."
"Monitoring is most valuable."
"It is good for the purpose it is designed for. It is good for maintaining a repository of application code, creating pipelines for deploying the code, building the code, and deploying the code. It can be easily used by developers. There are no issues."
"It's very user-friendly, and the documentation is good. The most valuable feature is backlog item creation, where we pick features and other things. The burndown chart created for projects to be maintained by the development teams is also useful."
"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."
"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."
"I can't think of any specific things at the moment, but I've run into things that I didn't like. I came across something that I wanted to be changed in DevOps, but I can't remember what it was. It was a particular feature I was looking for that I couldn't find."
"When you compare with Jira, there is a lack of progress features."
"The test management section needs to be improved."
"The installation time of this solution depends on the environment it is being implemented in. We had a couple of projects that took around two weeks of implementation. This included the whole integration of the DevOps and everything together."
"In comparison to JIRA, I believe DevOps has very poor reporting and metrics support."
"We did have some brief performance issues, however, that was due to putting everything on one epic instead of breaking a project up."
"The UI, the user experience, is challenging for newcomers."
"It should have security features for scanning the code and checking it for vulnerability and security. Currently, I am using other tools for this. It should also have integration with other tools to improve security."
Digital.ai Release is ranked 10th in Release Automation with 4 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 127 reviews. Digital.ai Release is rated 8.2, while Microsoft Azure DevOps is rated 8.2. 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 Microsoft Azure DevOps writes "Allows us to deploy code to production without releasing certain features immediately and agile project management capabilities offer resource-leveling". Digital.ai Release is most compared with Jenkins, IBM Rational Build Forge, GitLab, Bamboo and Digital.ai Deploy, whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management. See our Digital.ai Release vs. Microsoft Azure DevOps report.
See our list of best Release Automation vendors.
We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
