Digital.ai Release vs Microsoft Azure DevOps comparison

Digital.ai and Microsoft are both solutions in the Release Automation category. Digital.ai is ranked #13 with an average rating of 7.0, while Microsoft is ranked #1 with an average rating of 8.2. Digital.ai holds a 0.7% mindshare in RA, compared to Microsoft’s 38.3% mindshare. Additionally, 100% of Digital.ai users are willing to recommend the solution, compared to 95% of Microsoft users who would recommend it.

Digital.ai Release

Read 4 Digital.ai Release reviews

362 Views
199 Comparison Views

100% willing to recommend

Microsoft Azure DevOps

Read 132 Microsoft Azure DevOps reviews

13,021 Views
10,628 Comparison Views

95% willing to recommend

Digital.ai Release

Microsoft Azure DevOps

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Executive SummaryUpdated on Jan 7, 2025

Digital.ai Release and Microsoft Azure DevOps compete in the software delivery and deployment market. Microsoft Azure DevOps may hold an advantage due to its extensive features and integration capabilities.

Features: Digital.ai Release is known for its advanced pipeline orchestration, release automation, and integration with various deployment systems like XLD and batch deployments. Microsoft Azure DevOps offers a comprehensive suite including project management, version control, and CI/CD tools, making it versatile for enterprises with diverse needs.

Room for Improvement: Digital.ai Release could enhance its integration capabilities with more development tools and streamline its user interface. Microsoft Azure DevOps can benefit from decreased complexity, improved niche support for release management, and reduced setup time.

Ease of Deployment and Customer Service: Digital.ai Release provides a smoother deployment experience with specialized customer support focused on release automation. Microsoft Azure DevOps, while offering broader support, might require a steeper learning curve.

Pricing and ROI: Digital.ai Release often presents more competitive pricing structures with a focus on release automation value, leading to favorable ROI for such solutions. Microsoft Azure DevOps, though higher in setup costs, offers a richer ROI through its extensive capabilities catering to various development processes.

To learn more, read our detailed Digital.ai Release vs. Microsoft Azure DevOps Report (Updated: January 2025).

Buyer's Guide

Digital.ai Release vs. Microsoft Azure DevOps

January 2025

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Helped 838,713 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Digital.ai Release

Ranking in Release Automation

13th

Average Rating

8.2

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Build Automation (18th), DevSecOps (12th)

Microsoft Azure DevOps

Ranking in Release Automation

1st

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

132

Ranking in other categories

Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)

Mindshare comparison

As of February 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.7%, down from 0.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 38.3%, up from 36.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation

Featured Reviews

Navanath Gajare

DevOps Tech Lead at a financial services firm with 5,001-10,000 employees

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…

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Ivan Angelov

Project Executive at Synergyc

Facilitates agile transformation with potential for enhanced intuitiveness

What I liked about the solution is that it offers numerous features that are not available by default unless you are agile. Transitioning from the traditional Waterfall model to an agile methodology was challenging for us. Until 2020, our team predominantly worked with the Waterfall approach, using local tools like ServiceNow. We had a few team members who were familiar with Agile ISO, but none had experience with Azure. Therefore, we pursued Azure certification at the AZ-900 level. Our company organized a training session with a certified Azure expert, which was extremely beneficial for adopting best practices during the initial three months. This preparation helped us get accustomed to the new tool, as transitioning to a new system invariably requires time. Managing a pipeline of deliverables became significantly easier with this solution. We utilized it for stories and integrated change management with Azure DevOps. Eventually, everything related to the environment was organized there, enabling us to follow up and track progress with our technical engineers on an hourly, daily, or weekly basis. Reports were automatically generated and sent to management, offering them insights into our progress concerning the predefined roadmap.

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Quotes from Members

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

Pros

"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 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."

"Azure DevOps' collaborative features are good, and it integrates well with other tools in the software development process, like quality testing, documentation, and agile development."

"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."

"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."

"All features are good. Pipelines feature is great, and Boards and Artifacts features are also really good. It is really good at what it does. It is very comprehensive, and it has some really great aspects to it. It is very easy. It is probably one of the easiest to use DevOps tools in the industry, and it is well integrated."

"I like the tracking and that we can monitor our velocity."

"What I like the most about this product is that it's free and it's secure."

"The simplicity is very good and the customer experience is also great."

"What I like most about Azure DevOps is how easy it is to manage projects and control deployments."

More Microsoft Azure DevOps pros

Cons

"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."

"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."

"When we don't have some permissions, we have to research how to get them."

"When you compare with Jira, there is a lack of progress features."

"We are facing a lot of issues in the development of containerized solutions. We are facing a lot of challenges in this area. They could make the process simpler."

"They have brought a lot of new collaboration features in the latest version. We haven't used those features, but they should continue to expand it more on the collaboration front so that two developers can look at the code and work at the same time. It will be helpful for working from home."

"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."

"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."

"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."

"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."

More Microsoft Azure DevOps cons

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."

"The solution costs $5 or $10 per user, per month."

"It is a subscription model and I only pay for what I use."

"For the basic license, it is around five euros per month."

"I am not aware of any licensing subscriptions for the solution."

"The solution is expensive."

"With Azure, you have to pay for every user."

"The price of the solution is expensive."

"There is a licensing fee of $6/user per month."

More Microsoft Azure DevOps pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

55%

Financial Services Firm

21%

Computer Software Company

Healthcare Company

Manufacturing Company

13%

Computer Software Company

13%

Financial Services Firm

12%

Government

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.

See all answers

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...

See all answers

What is your primary use case for Digital.ai Release ?

It helps with creating documentation, release processes, deploying to lower environments, scheduling meetings, and sending emails to stakeholders. The goal is to reduce manual work and save time.

See all answers

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...

See all answers

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...

See all answers

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.

See all answers

Comparisons

Jenkins vs Digital.ai Release

Compared 52% of the time

GitLab vs Digital.ai Release

Compared 23% of the time

More Digital.ai Release Competitors

GitLab vs Microsoft Azure DevOps

Compared 41% of the time

Jira vs Microsoft Azure DevOps

Compared 16% of the time

Rally Software vs Microsoft Azure DevOps

Compared 7% of the time

OpenText ALM / Quality Center vs Microsoft Azure DevOps

Compared 4% of the time

TFS vs Microsoft Azure DevOps

Compared 4% of the time

More Microsoft Azure DevOps Competitors

Product Reports

Buyer's Guide

Digital.ai Release

February 2025

Download Digital.ai Release product report

Buyer's Guide

Microsoft Azure DevOps

February 2025

Download Microsoft Azure DevOps product report

Also Known As

XL Release, XebiaLabs XL Release

Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps

Overview

Automate, orchestrate, and gain visibility into your release pipelines at scale using Digital.ai Release, a release management tool that is designed for enterprises. Control and track releases, standardize processes, and bake compliance and security into your software release pipelines.

Digital.ai

Microsoft Azure DevOps is a cloud service that enables developers to collaborate on code development projects and create and deploy applications quicker than ever before. The service helps unite developers, project managers, and software development experts through a collaborative experience while using the application. For the users' convenience, Azure DevOps offers the user cloud services through Azure DevOps Services or an on-premises service using Azure DevOps Server. In addition, it supports integration with additional services and adding extensions, including the ability for the user to create their own custom extensions.

Azure DevOps provides a variety of unified features that can be accessed through their web browser or IDE client, such as:

Azure Pipelines - Develop and deploy services to support ongoing application integration and delivery. Azure pipelines, which work with almost every project type and most languages, will automatically test code projects in order to make them available to others.
Azure Artifacts - Share packages and integrate package sharing between teams. Packages include NuGet, npm, and Maven, in addition to other private and public sources. Developers can now share and consume packages with other developers from different public registries.
Azure Repos - Offers source control of your code through Team Foundation Version Control (TFVC) or Git repositories. Developers can now keep track of any changes that are made in their code over the course of their project.
Azure Test Plans - Offers continuous and manual/exploratory app testing through several tools. Test Suites, or a collection of Test Cases, are grouped together in a container called a Test Plan.
Azure Boards - Provides a suite of Agile tools to track work, support planning, code defects, and general issues while using Kanban and Scrum software. Teams are in need of tools that are flexible and will help them grow. Azure Boards is a service that helps developers manage their software projects.

Benefits of Microsoft Azure DevOps

Microsoft Azure DevOps offers many benefits, including:

A quick setup and easy deployment
An elastic scale
Exceptional security
No-maintenance operations
Effortless collaboration through domains
The ability to create and deploy products faster than traditional software

Reviews from Real Users

Microsoft Azure DevOps stands out among its competitors for a variety of reasons. Two major ones are its ability to forecast how long each task will take and the ability for users to follow the entire development process.

PeerSpot viewers note the effectiveness of this solution. An executive chief operating officer for a cloud provider notes, “We can forecast tasks and the number of hours a task will take and can compare it with how long a task actually takes.”

Carlos H., a product and system director at SPCM, writes, “I think the most usable thing is that you can follow the whole progress of the development process. This makes it very useful for us.”

Microsoft

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank

Alaska Airlines, Iberia Airlines, Columbia, Skype

Buyer's Guide

Digital.ai Release vs. Microsoft Azure DevOps

January 2025

Free Report: Digital.ai Release vs. Microsoft Azure DevOps

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