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 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 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 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."
"Some of the most valuable features are the ease of use and the ability to monitor a lot of things. It has a lot of applications and facilities that meet all the developers' requirements. For example, we can use application insights to get an idea of our application's performance. Since it's cloud-based, it's really good for collaboration and working as a team."
"The initial setup process is easy."
"The most valuable features of Microsoft Azure DevOps are high-level protection. The protection is very important to the customers to prevent eavesdropping. eavesdropping is when a hacker tries to get into the solution. With this solution is it difficult for them to do it."
"Provides agile management of projects."
"Detailed logs allow us to pinpoint the exact cause of any issues, making troubleshooting efficient and accurate."
"It has a good GUI, and it's very user-friendly."
"Before using this solution, we had to deploy our applications, from pre-production to production, manually."
"It's graphical representation and tools are easy to use."
"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."
"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."
"Testing is very important. Microsoft Azure DevOps tests very well. However, DevOps teams need to be aware of what they are impacting when someone updates anything on the system."
"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."
"The optimization feature in Microsoft Azure DevOps needs improvement. Control over multiple projects could also be improved."
"I think Azure DevOps could improve the traceability or business intelligence about the execution of DevOps processes."
"The price could be lowered. It would be nice if it was cheaper."
"Azure has not yet advanced to the performance level of the other major competitors and is missing integration with important technologies."
"There are certain areas in Azure DevOps that are better in other products."
"When converting to DevOps, it was difficult to map."
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.
