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Digital.ai Deploy vs Microsoft Azure DevOps comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.8
The software improved operational efficiency, reduced costs, and enhanced project predictability, promising positive ROI within two years.
Sentiment score
6.6
Companies experience up to 50% productivity gains with Azure DevOps, finding it more effective than Excel and well-rated.
There has been a measurable improvement in productivity of around 40 to 50% after implementing Microsoft Azure DevOps, which has allowed more time to be spent on other things.
Senior Automation Engineer at Zellis
On a scale of one to ten, where ten is the best, I would say ROI is an eight.
Associate Director at Grant Thornton (US)
 

Customer Service

Sentiment score
7.0
Digital.ai Deploy support is praised for promptness and knowledge, but some report slow responses and ineffective resolutions.
Sentiment score
6.8
Microsoft Azure DevOps customer service is generally praised for responsiveness and documentation, with occasional delays in unusual cases.
When requirements arise, they are raised and often get fixed within one or two days.
Senior Automation Engineer at Zellis
Resolving issues took time since understanding our unique problems was not always straightforward for support teams.
Project Executive at synergyc
I would rate technical support from Microsoft for Microsoft Azure DevOps an eight out of ten.
Consultant at Yara International ASA
 

Scalability Issues

Sentiment score
5.9
Digital.ai Deploy is user-friendly and adaptable, efficiently scaling deployments despite some concerns about scalability features and potential failures.
Sentiment score
7.4
Microsoft Azure DevOps excels in scalability, supporting diverse projects and teams with seamless collaboration and robust infrastructure.
The scalability has left me pleased, not just for our teams in Europe, the Middle East, and Asia, but as we expanded into North America, Africa, and even Australia.
Project Executive at synergyc
Microsoft Azure DevOps is scalable, with multiple options available to scale up the product as needed, given its Microsoft backing.
Senior Automation Engineer at Zellis
 

Stability Issues

Sentiment score
6.8
Digital.ai Deploy is stable with minimal downtime, though users note performance issues when managing multiple systems or environments.
Sentiment score
7.9
Microsoft Azure DevOps is highly rated for stability and reliability, with responsive support and improved communication on updates.
Its stability might be attributed to its legacy as an on-premise solution that has been in development for more than 25 years.
Software Architect at RedesCDM
There was just one time when there was some infrastructure issue from Microsoft's side, so we faced some glitches for a few minutes only, not for hours or a day.
DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED
Microsoft Azure DevOps is definitely stable, as it is available most of the time, with very few downtimes.
Senior Automation Engineer at Zellis
 

Room For Improvement

Digital.ai Deploy needs an updated interface and documentation, with improved support due to performance issues and plugin challenges.
Microsoft Azure DevOps needs improvements in integration, customization, UI, pricing, documentation, reporting, and customer support for enhanced usability.
One issue noted is that when working on multiple epics, the board or sprint displays tasks only for selected individual projects, so there is no combined dashboard to view all tasks at once.
Senior Automation Engineer at Zellis
Instead of customers having to try many options themselves, they benefit from practitioner recommendations.
Founder & CEO at DevTools
Those processes are a bit difficult for some customers who may not have technical knowledge and don't go through the entire documentation.
Associate Director at Grant Thornton (US)
 

Setup Cost

Digital.ai Deploy's setup costs range from €120k-€170k, with daily maintenance at €500, offering flexible licenses and volume discounts.
Microsoft Azure DevOps offers competitive pricing with cost-effective options for large teams, despite some expensive testing features.
They don't even provide a POC where you can have a sandbox or stuff that you can go through and see how exactly it's costing.
Associate Director at Grant Thornton (US)
Microsoft is investing 200 billion dollars plus more for its security concerns.
DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED
I find it to be expensive.
Project Executive at synergyc
 

Valuable Features

Digital.ai Deploy streamlines complex deployments with "One Click" processes, extensibility, compliance management, and integration with multiple server environments.
Azure DevOps excels in CI/CD, integration, and lifecycle management, enhancing productivity and collaboration with seamless Microsoft tool integration.
Whenever something is created or deployed, it automatically triggers the automated scripts, generates reports, and updates the test cases, providing a seamless end-to-end activity.
Senior Automation Engineer at Zellis
If considering automations, process, monitoring, and provisioning, then it is the best cloud service across all the other service providers.
DevOps Engineer at ENTERPRISE SYSTEM SOLUTIONS LIMITED
Our company organized a training session with a certified Azure expert, which was extremely beneficial for adopting best practices during the initial three months.
Project Executive at synergyc
 

Categories and Ranking

Digital.ai Deploy
Ranking in Release Automation
14th
Average Rating
7.4
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Microsoft Azure DevOps
Ranking in Release Automation
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
137
Ranking in other categories
Application Lifecycle Management (ALM) Suites (2nd), Enterprise Agile Planning Tools (1st)
 

Mindshare comparison

As of January 2026, in the Release Automation category, the mindshare of Digital.ai Deploy is 1.7%, up from 0.7% compared to the previous year. The mindshare of Microsoft Azure DevOps is 31.1%, down from 38.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Market Share Distribution
ProductMarket Share (%)
Microsoft Azure DevOps31.1%
Digital.ai Deploy1.7%
Other67.19999999999999%
Release Automation
 

Featured Reviews

Dorian Sezen - PeerSpot reviewer
Managing Partner at Kloia
Good solution for heterogeneous enterprise environments that have different workflows
The solution is for heterogeneous enterprise environments that have different workflows like Kubernetes, Linux, Windows, and mainframe The solution creates a manifest file that caps the bridge between the developer and the system admin. The tool needs to improve on cloud-native GitOps. I have…
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.
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Insurance Company
14%
Financial Services Firm
10%
Healthcare Company
8%
Manufacturing Company
14%
Government
10%
Financial Services Firm
10%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise2
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise28
Large Enterprise69
 

Questions from the Community

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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

Deployit, XLDeploy, XebiaLabs XL Deploy
Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps
 

Overview

 

Sample Customers

American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
Alaska Airlines, Iberia Airlines, Columbia, Skype
Find out what your peers are saying about Digital.ai Deploy vs. Microsoft Azure DevOps and other solutions. Updated: December 2025.
880,490 professionals have used our research since 2012.