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Digital.ai Release vs Microsoft Azure DevOps comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Digital.ai Release
Ranking in Release Automation
9th
Average Rating
8.2
Reviews Sentiment
7.9
Number of Reviews
4
Ranking in other categories
Build Automation (15th)
Microsoft Azure DevOps
Ranking in Release Automation
1st
Average Rating
8.2
Reviews Sentiment
7.6
Number of Reviews
130
Ranking in other categories
Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)
 

Mindshare comparison

As of November 2024, in the Release Automation category, the mindshare of Digital.ai Release is 0.6%, down from 0.8% compared to the previous year. The mindshare of Microsoft Azure DevOps is 39.6%, up from 34.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

Navanath Gajare - PeerSpot reviewer
Effectively automates deployments and applies one template across applications
Our company uses the solution to handle deployments for new releases. Whenever there is a new release, the solution creates a new provision template for deployment. We also orchestrate and manage all users. We integrate with other tools like GitHub, Jenkins, or Digital.ai Deploy to manage…
Akshat Prakash - PeerSpot reviewer
Allows us to deploy code to production without releasing certain features immediately and agile project management capabilities offer resource-leveling
My company has experienced benefits from using it or from recent updates in Azure Pipelines. For instance, we can manage different code versions from the same repository across different environments. We also use feature flags; the code is deployed, but the feature can be made visible to the end user at a later time. Additionally, as part of the deployment, we integrate automated and regression testing, which stops the deployment if testing fails, thus preventing regression bugs. This saves time and increases productivity by reducing the need for manual testing. Lastly, it integrates with the project management aspects, allowing us to link code deployments with project milestones. Azure DevOps supported our shift towards DevOps culture or practices. We shifted to the cloud environment and started migrating from our data centers about eight or nine years back. It has been a long journey. However, we have used Azure DevOps for almost five to six years in every project. We also use automation testing in Azure, so we have an integrated test suite that allows us to perform functional and regression testing effectively via the Azure DevOps system.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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 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 solution can apply one template across multiple applications."
"The solution is easy to implement and easy to use."
"Some of the valuable features are the interface and the workflows are easy to learn and to manage."
"The user interface is very friendly."
"Before using this solution, we had to deploy our applications, from pre-production to production, manually."
"The product is easy to use and very stable."
"The automated bill feature is most valuable. As with most software developers, I can build code on my machine, but if one of my coworkers can't build the same code on theirs, there are always issues in trying to track it down. The automated bill process makes it a lot easier to track down where the issues are and find out what bugs aren't being included for whatever reason."
"The most valuable feature is the ease of use and performance."
"All of the features related to release management are very good."
 

Cons

"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."
"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."
"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."
"I can't think of anything I would like to improve, since I don't have complete knowledge of the platform yet. I'm sure that as I gain more experience, I will understand it better. The price could maybe be cheaper, but I'm sure I'll have more ideas as to improvements and additional features once I've used it more."
"The UI, the user experience, is challenging for newcomers."
"The solution's roadmap and Gantt charts could be improved."
"Not all companies use the same methodology which could limit the use of this solution."
"The optimization feature in Microsoft Azure DevOps needs improvement. Control over multiple projects could also be improved."
"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."
"I would like to see a bit more project tracking."
"I would like to see better interoperability with the agile scaling frameworks."
 

Pricing and Cost Advice

"The solution's license includes all features."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"This product could maybe be cheaper. My organization handled licensing, so I'm not aware of which subscription they have."
"I don't know what we pay, but I do know what I've seen online. If we switched to JIRA, we will basically have to double our costs because we still have to pay for the DevOps licensing. We're probably spending $100 a month on it. It has only standard licensing fees."
"We do not pay licenses for this solution."
"For the basic license, it is around five euros per month."
"We have an MPN subscription for Microsoft Azure DevOps, and it's all included."
"For Microsoft, it can get expensive when you need heavy-duty machines."
"Microsoft Azure DevOps is an expensive solution."
"It is the least expensive product in this class."
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Top Industries

By visitors reading reviews
Educational Organization
53%
Financial Services Firm
21%
Computer Software Company
8%
Insurance Company
4%
Manufacturing Company
13%
Computer Software Company
12%
Financial Services Firm
12%
Government
9%
 

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.
What is your experience regarding pricing and costs for Digital.ai Release ?
The solution's license includes all features. I have not compared pricing to other tools, but feel the solution is a little expensive.
What needs improvement with Digital.ai Release ?
There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...
Which is better - Jira or Microsoft Azure DevOps?
Jira is a great centralized tool for just about everything, from local team management to keeping track of products and work logs. It is easy to implement and navigate, and it is stable and scalabl...
Which is better - TFS or Azure DevOps?
TFS and Azure DevOps are different in many ways. TFS was designed for admins, and only offers incremental improvements. In addition, TFS seems complicated to use and I don’t think it has a very fri...
What do you like most about Microsoft Azure DevOps?
Valuable features for project management and tracking in Azure DevOps include a portal displaying test results, check-in/check-out activity, and developer/tester productivity.
 

Also Known As

XL Release, XebiaLabs XL Release
Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Alaska Airlines, Iberia Airlines, Columbia, Skype
Find out what your peers are saying about Digital.ai Release vs. Microsoft Azure DevOps and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.