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Digital.ai Release vs Microsoft Azure DevOps vs Red Hat Ansible Automation Platform comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

As of April 2026, in the Release Automation category, the mindshare of Digital.ai Release is 1.4%, up from 0.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 30.7%, down from 37.6% compared to the previous year. The mindshare of Red Hat Ansible Automation Platform is 4.2%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Mindshare Distribution
ProductMindshare (%)
Microsoft Azure DevOps30.7%
Red Hat Ansible Automation Platform4.2%
Digital.ai Release1.4%
Other63.7%
Release Automation
 

Featured Reviews

Jeanne-Mari Chandran - PeerSpot reviewer
Software Configuration Specialist at a insurance company with 10,001+ employees
Experience seamless project management and integration with robust tools
The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required. I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software. Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.
Bharadwaj Deepak Mohapatra - PeerSpot reviewer
DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED
Have built reliable end-to-end pipelines and streamlined cloud provisioning through consistent collaboration practices
I am currently working with open-source tools such as Jenkins for my main CI/CD pipeline, and for enterprise clients, I am using Microsoft Azure DevOps CI/CD pipeline. For other clients, I have also implemented CI/CD YAML pipelines through GitLab CI/CD workflow and GitHub Actions. I am creating the end-to-end CI/CD pipeline from development to deployment and monitoring all of this. Azure Boards is easier than Jira for my understanding because there are very easy points to manage the Agile methodology which we work on. Because it is a GUI, sometimes the process may take a few minutes more than the CLI process since the backend is running the exact CLI, but we are commanding through the GUI. There is definitely a time lag, but it is more secure. Microsoft Azure DevOps pipelines work very seamlessly rather than other CI/CD pipelines, as of my understanding. The downside is that the process may take more time when deploying some clusters, Kubernetes, Azure AKS service, or some vast microservice architecture deployments. There may be a little bit of lag I feel, though I cannot tell very strictly that this is a disadvantage, but sometimes it takes a little more time than other cloud infrastructures. All the major things are done by GUI, which is somewhat a little slow. However, if considering automations, process, monitoring, and provisioning, then it is the best cloud service across all the other service providers. Our implementation is a hybrid cloud. Microsoft Azure DevOps is definitely easily scalable. I have worked on many Kubernetes infrastructures and microservice deployments, and I have seen that replication is very good because it is very easy. The replication process is very straightforward. I definitely advocate for using less code because it is very time-consuming. If using GCP or Amazon Web Service, there is more interaction related to work over the CLI process. In terms of Microsoft Azure DevOps, there are many things done by the GUI, which is the best part.
Manas Kashyap - PeerSpot reviewer
DevOps Engineer at Elevenxcapital
Automation has transformed server patching and has reduced months of work to minutes
The best features that Red Hat Ansible Automation Platform offers is that it does not require any additional resources inside the servers. Python is the only requirement, and since Python is already present inside the servers, we can run it from our location and it automatically deploys things and does the work for us. The minimal requirements and easy deployment have definitely impacted my daily work and my team's efficiency. Red Hat Ansible Automation Platform is one of the best features that we depend on. We have evaluated other options, but Red Hat Ansible Automation Platform was the best choice because it has saved us a tremendous amount of time. We do not need to manually intervene in the servers or install third-party software to maintain these things. It is very easy to write playbooks for Red Hat Ansible Automation Platform. Ansible Galaxy contains many playbooks that are readily available and ready to be used. It is highly configurable with Jinja templating, making it easy to maintain. Red Hat Ansible Automation Platform has positively impacted my organization. Previously, we needed to go into the servers and maintain them manually, which used to take a lot of time. For 200 to 300 servers, the maintenance took about one to two months. New patches would arrive and we would have to repeat the process. Now, it is a one-night work or a 10 to 15 minutes task. We write a playbook, maintain an inventory, and roll out the updates and it starts working for us. Red Hat Ansible Automation Platform uses conditional clauses and has rollback options, functioning like a standard coding language that is simple to use. There is definitely a reduction in errors with Red Hat Ansible Automation Platform because we have playbooks written with all the necessary clauses and rollback options. Manual work automatically creates more errors, whereas in automation, we have written sets that we do not forget every time we run it. We have protected written sets that we execute consistently.

Quotes from Members

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

Pros

"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"Since using Digital.ai Release, time has been saved, money has been saved, and staffing requirements have been reduced."
"Overall, I would give Digital.ai Release a rating of nine out of ten; there's always room for improvement, but it's really good."
"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."
"Overall, it's been a good experience."
"The solution can apply one template across multiple applications."
"Some of the valuable features are the functionality and the wide range of capabilities."
"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."
"The solution is good for everything, including end-to-end planning and its deployment and testing."
"We can track everything from the requirements stage to the production stage."
"It is stable, and we have had no issues with it."
"What I like the most is that it is easy to comprehend, and it's easy to use."
"Overall, this is a good product and one that I recommend."
"I found the Kanban board to be the most useful for my needs."
"One of the most valuable features is automation. We are doing automation infrastructure, which allows us to automate regular tasks. This solution provides us with a service catalog, like building new services and automating daily tasks."
"It saves time; it cut our configuration time; it is very easy to use, and there is less room for error."
"It increases our company's efficiency, automating all the simple tasks which used to take hours of somebody's time."
"It was easy to read and learn. It is a YAML-based syntax, which makes it easily understand and pick up."
"The setup is pretty straightforward."
"It does not require staff for deployment and maintenance. It just works."
"The most valuable feature of the solution is that we don’t need an agent for it to work."
"The solution is very simple to use."
 

Cons

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"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."
"One improvement for Digital.ai Release could be to simplify the user interface for beginners."
"The solution is a little bit expensive."
"I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what Digital.ai's cloud capabilities are."
"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 UI, the user experience, is challenging for newcomers."
"I think Azure DevOps could improve the traceability or business intelligence about the execution of DevOps processes."
"They do very frequent releases, there's a complete change in UI kind of stuff. Sometimes it feels like they change it too often."
"I would like to see better integration and collaboration between tools."
"The initial setup of this solution was complex. Every part of the implementation was difficult."
"Something that could be improved is the initial setup with the integration of ReadyAPI."
"However, the process of this transfer is not straightforward, and it could be a lot easier. Microsoft hasn't provided the maturity for migration tools."
"It is essential that you get buy-in from the top management down to everyone in the pipeline."
"We are very satisfied with what we have. From a management point of view, whatever makes it easier for my team to help customers write their own playbooks would be something very beneficial. Everything is going as a service. Creating playbooks can become much more consumer-oriented so that customers do not need to contact us to write their own playbooks."
"The documentation for the installation step of deployment, OpenStack, etc., and these things have to be a bit more detailed."
"The support could be better."
"Additional features could be added."
"There have been some differences between the operating systems that we have noticed. It could be down to cryptographic policies, but we have noticed some speed issues. They should work on the speed of deployment on different operating systems."
"We would like support for the post-integration of this product before cloud frameworks because right now their approach is to avoid using on-premises activities and move everything to the cloud."
"One problem that I'm facing right now is the mismatch between the new version of Python and Ansible."
"From Red Hat Insights point of view, the product is not on top as it is not responding as per the demand...Like on cloud platforms, you can see the main parts of Red Hat Insights, along with the inventory of all your apps. So, that is missing in Red Hat Ansible Automation Platform."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
"It is the least expensive product in this class."
"It has an annual subscription. It can be cheaper for partners. Many open-source products are available in the market, and it would be great if they can be a little bit more competitive in terms of pricing. A lot of startups are looking for an open-source, free, or cheap solution. If they can accommodate such requirements, it will be good for the product in the long run."
"The solution is expensive."
"The main agile features are very expensive."
"I don't know the pricing of DevOps. It would be much cheaper than ALM because ALM came out as a software product initially. Now they are moving into a cloud and subscription model. In that case, Microsoft is coming from Azure and the cloud and DevOps and software as a service, so it would be much cheaper, but the catch would be that they are trying to get money on all the sides, like an operating system, Microsoft Office, or Microsoft Azure DevOps."
"There is a license for this solution."
"It is a subscription model and I only pay for what I use."
"As a Microsoft Partner, you get a discount on the pricing. Licensing costs are around $80 a month for DevOps, but for Azure, it is about $200 a month."
"Ansible Tower is pretty expensive."
"The cost is determined by the number of endpoints."
"Ansible Tower is free. Until they lower the cost, we are holding off on purchasing the product."
"Like many Red Hat products, they have a no-cost version of the web application (AWX, formerly Ansible Tower), but you are on your own to install and it is a little more complicated than just installing Ansible."
"The cost is high, but it still works well."
"The pricing for us is huge because we use twenty thousand nodes, so that is a huge infrastructure, but if someone is using a small infrastructure, then the pricing is not so much."
"I am using the community edition of the solution which is free."
"Red Hat Ansible Automation Platform is an expensive solution. There may be additional fees to use advanced features."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
13%
Financial Services Firm
10%
Government
9%
Computer Software Company
8%
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise28
Large Enterprise69
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise8
Large Enterprise48
 

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...
What needs improvement with Digital.ai Release ?
Based on my experience, I would like to improve Digital.ai Release by exploring its cloud capabilities as we are curr...
What is your primary use case for Digital.ai Release ?
My use case for Digital.ai Release is that I work for an insurance company on a very big project that develops multip...
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 a...
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 improvement...
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...
What is the difference between Red Hat Satellite and Ansible?
Red Hat Satellite has proven to be a worthwhile investment for me. Both its patch management and license management h...
How does Ansible compare to Microsoft Endpoint Configuration Manager (SCCM)?
Microsoft Endpoint Configuration Manager takes knowledge and research to properly configure. The length of time that ...
What is your experience regarding pricing and costs for Red Hat Ansible Automation Platform?
My experience with pricing, setup cost, and licensing for Red Hat Ansible Automation Platform was very simple. There ...
 

Also Known As

XL Release, XebiaLabs XL Release
Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps
Ansible, Red Hat Ansible Automation Platform Subscription on AWS
 

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
HootSuite Media, Inc., Cloud Physics, Narrative, BinckBank
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation. Updated: March 2026.
885,376 professionals have used our research since 2012.