Digital.ai Deploy vs Microsoft Azure DevOps comparison

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Digital.ai Logo
563 views|324 comparisons
81% willing to recommend
Microsoft Logo
19,149 views|14,580 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Digital.ai Deploy 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.
To learn more, read our detailed Digital.ai Deploy vs. Microsoft Azure DevOps Report (Updated: May 2024).
771,212 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"This product is an innovative market leader in the field of application deployment.""The solution creates a manifest file that caps the bridge between the developer and the system admin.""The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."

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"It's got something that you won't find in other products.""There are great automation tools.""The most valuable feature is the ease of use and performance.""The most valuable feature is that it's fully integrated, where we have a single place to do everything that we need.""This is an all-in-one, one-stop shop, nothing comes close.""The most valuable features of this solution are the CI/CD pipeline, and the testing automation.""I found the Kanban board to be the most useful for my needs.""The initial setup is quick and easy."

More Microsoft Azure DevOps Pros →

Cons
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release.""The tool needs to improve on cloud-native GitOps.""While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."

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"This product would be improved if the helpdesk were included.""In comparison to JIRA, I believe DevOps has very poor reporting and metrics support.""More features can be included.""Microsoft Azure DevOps should create some training materials.""The solution can improve by adding integration with on-premise tools. The only built-in repository options are GitHub and DevOps.""The solution could work to improve their reporting.""Better integration with the Linux operating system would be an improvement for this solution.""Its UI can be easier and more customer-friendly. The UI can be improved from the project management and agile perspective."

More Microsoft Azure DevOps Cons →

Pricing and Cost Advice
  • "Pricing costs are based on annual subscriptions."
  • "The product’s pricing is acceptable. We get volume discounts."
  • More Digital.ai Deploy Pricing and Cost Advice →

  • "It's a good tool, quite rich, it has a lot of features, and quite a lot of analytical capabilities which are built on top of it so that you can see how your projects are going and all that stuff. It's a good tool."
  • "There is a licensing fee of $6/user per month."
  • "The price is cheaper than Jira and some of the other competing tools."
  • "It is the least expensive product in this class."
  • "I find that the pricing is good, and it is competitive with the other vendors in the market."
  • "Microsoft Azure DevOps is free for up to five users and allows you to track a maximum of three projects."
  • "It is a subscription model and I only pay for what I use."
  • "The price of this solution is fair."
  • More Microsoft Azure DevOps Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution creates a manifest file that caps the bridge between the developer and the system admin.
    Top Answer:The product’s pricing is acceptable. We get volume discounts.
    Top Answer:The tool needs to improve on cloud-native GitOps.
    Top Answer: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 scalable… more »
    Top Answer: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… more »
    Top Answer:We can track everything from the requirements stage to the production stage.
    Ranking
    13th
    out of 32 in Release Automation
    Views
    563
    Comparisons
    324
    Reviews
    1
    Average Words per Review
    197
    Rating
    8.0
    1st
    out of 32 in Release Automation
    Views
    19,149
    Comparisons
    14,580
    Reviews
    21
    Average Words per Review
    597
    Rating
    8.3
    Comparisons
    Also Known As
    Deployit, XLDeploy, XebiaLabs XL Deploy
    Azure DevOps, VSTS, Visual Studio Team Services, MS Azure DevOps
    Learn More
    Overview

    Automate and standardize complex, enterprise-scale application deployments to any environment—from mainframes and middleware to containers and the cloud. Speed up deployments with increased reliability. Enable self-service deployment while maintaining governance and control.

    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.”

    Sample Customers
    American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
    Alaska Airlines, Iberia Airlines, Columbia, Skype
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm37%
    Insurance Company14%
    Computer Software Company12%
    Manufacturing Company9%
    REVIEWERS
    Computer Software Company23%
    Financial Services Firm15%
    Energy/Utilities Company11%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Manufacturing Company11%
    Financial Services Firm11%
    Government9%
    Company Size
    REVIEWERS
    Small Business73%
    Midsize Enterprise9%
    Large Enterprise18%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise9%
    Large Enterprise82%
    REVIEWERS
    Small Business31%
    Midsize Enterprise18%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise68%
    Buyer's Guide
    Digital.ai Deploy vs. Microsoft Azure DevOps
    May 2024
    Find out what your peers are saying about Digital.ai Deploy vs. Microsoft Azure DevOps and other solutions. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    Digital.ai Deploy is ranked 13th in Release Automation with 11 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 127 reviews. Digital.ai Deploy is rated 7.4, while Microsoft Azure DevOps is rated 8.2. The top reviewer of Digital.ai Deploy writes "Besides for the flash GUI which is a pain, it includes all of the features we were looking for". 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 Deploy is most compared with Red Hat Ansible Automation Platform, GitLab and Digital.ai Release , whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management. See our Digital.ai Deploy 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.