Digital.ai Deploy vs Digital.ai Release comparison

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Digital.ai Logo
570 views|329 comparisons
81% willing to recommend
Digital.ai Logo
524 views|284 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Digital.ai Deploy and Digital.ai Release based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation.
To learn more, read our detailed Release Automation Report (Updated: April 2024).
768,857 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
"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.""This product is an innovative market leader in the field of application deployment."

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"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that.""The solution can apply one template across multiple applications.""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."

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Cons
"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.""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."

More Digital.ai Deploy Cons →

"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.""The solution is a little bit expensive.""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."

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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 →

  • "Overall, the price is just too high; especially considering we're in the middle of a pandemic."
  • "The solution's license includes all features."
  • More Digital.ai Release 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:The solution can apply one template across multiple applications.
    Top Answer:The solution's license includes all features. I have not compared pricing to other tools, but feel the solution is a little expensive.
    Top Answer:The solution is a little bit expensive.
    Ranking
    14th
    out of 32 in Release Automation
    Views
    570
    Comparisons
    329
    Reviews
    1
    Average Words per Review
    197
    Rating
    8.0
    9th
    out of 32 in Release Automation
    Views
    524
    Comparisons
    284
    Reviews
    2
    Average Words per Review
    621
    Rating
    9.0
    Comparisons
    Also Known As
    Deployit, XLDeploy, XebiaLabs XL Deploy
    XL Release, XebiaLabs XL Release
    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.

    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.

    Sample Customers
    American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
    3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm37%
    Insurance Company13%
    Computer Software Company13%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Educational Organization45%
    Financial Services Firm20%
    Computer Software Company10%
    Insurance Company4%
    Company Size
    REVIEWERS
    Small Business73%
    Midsize Enterprise9%
    Large Enterprise18%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise9%
    Large Enterprise81%
    VISITORS READING REVIEWS
    Small Business6%
    Midsize Enterprise49%
    Large Enterprise46%
    Buyer's Guide
    Release Automation
    April 2024
    Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation. Updated: April 2024.
    768,857 professionals have used our research since 2012.

    Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews while Digital.ai Release is ranked 9th in Release Automation with 4 reviews. Digital.ai Deploy is rated 7.4, while Digital.ai Release 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 Digital.ai Release writes "Effectively automates deployments and applies one template across applications". Digital.ai Deploy is most compared with Microsoft Azure DevOps, Red Hat Ansible Automation Platform and GitLab, whereas Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, Bamboo, IBM Rational Build Forge and GitLab.

    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.