Automic Continuous Delivery Automation vs Digital.ai Deploy comparison

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Executive Summary

We performed a comparison between Automic Continuous Delivery Automation and Digital.ai Deploy 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).
768,740 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
"Gives people insight into what's happening during the deployment.""Self-service for developers, because they are able to deploy to development departments on their own, without needing people from operations.""The capability to provide visibility to the stakeholders, to management, is the biggest piece that showcases what the solution is about.""The event monitor is very good. You can monitor when the file is created so you can pick up the file once it's done.""Deployment workflow (WF) can be designed this way, so that it is not necessary to provide all applications (systems) artifacts of which an application consists.""The most valuable feature is the ability to see which problems have been resolved from deployment.""You can design your workflows for your needs.""It provides a wonderful user interface which is easy to use."

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"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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Cons
"There is an issue with the stability in the tool. The process of agent will stop, then the monitoring agent can't be recognized because the process is running, but you can talk with the system.""I would like to see more support for WebSphere.""We hope that we can integrate the new CD Directive into our portfolio, so we can bring the deployment and release management closer together.""At the moment, the version that we are using (version 12.0), the environment is complex with multiple installations. Therefore, the monitoring is not scalable, but this should be improved in 12.1 and 12.2.""There needs to be better error handling and error descriptions. It should be more clear what the errors are and what we can do to fix them.""If you have a technical problem and need development of the tool, the support team is terrible, because they cannot help with the technical details.""key thing is support for cloud-based deployment. That is lacking.""The stability of the solution can be improved."

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"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.""The solution currently has a bug that causes performance issues. They need to resolve this in a future release."

More Digital.ai Deploy Cons →

Pricing and Cost Advice
  • "We increased our quality and reduced our time costs."
  • "I can save time and money more quickly."
  • "If you have a fixed contract, it has limits to spreading out. If you have a flexible enterprise license contract, then you have a lot of scalability for this tool."
  • "Customers often complain about the price."
  • More Automic Continuous Delivery Automation 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 →

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    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.
    Ranking
    17th
    out of 32 in Release Automation
    Views
    367
    Comparisons
    299
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    out of 32 in Release Automation
    Views
    570
    Comparisons
    329
    Reviews
    1
    Average Words per Review
    197
    Rating
    8.0
    Comparisons
    Also Known As
    CA Continuous Delivery Automation, Automic Release Automation, Automic ONE Automation, UC4 Automation Platform
    Deployit, XLDeploy, XebiaLabs XL Deploy
    Learn More
    Overview

    Deliver apps at pace with agile development and let customer satisfaction soar. 

    Today, the pressure is on to transform how you deliver applications to market. Get release agility and speed without compromising quality and stability with CA Continuous Delivery Automation. Deliver apps reliably on demand from development through production—mobile to mainframe. Agilely scale as the cadence, volume and complexity of your apps grow. It’s DevOps-ready release management and automation for your dynamic enterprise.

    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.

    Sample Customers
    BET365, Charter Communications, TASC
    American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
    Top Industries
    REVIEWERS
    Financial Services Firm36%
    Computer Software Company27%
    Energy/Utilities Company9%
    Transportation Company9%
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company12%
    Insurance Company9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm37%
    Insurance Company13%
    Computer Software Company13%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business15%
    Midsize Enterprise15%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise8%
    Large Enterprise80%
    REVIEWERS
    Small Business73%
    Midsize Enterprise9%
    Large Enterprise18%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise9%
    Large Enterprise81%
    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.
    768,740 professionals have used our research since 2012.

    Automic Continuous Delivery Automation is ranked 17th in Release Automation while Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews. Automic Continuous Delivery Automation is rated 8.0, while Digital.ai Deploy is rated 7.4. The top reviewer of Automic Continuous Delivery Automation writes "Reduces our time to market considerably with automated and consistent results". On the other hand, 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". Automic Continuous Delivery Automation is most compared with UrbanCode Deploy, Nolio Release Automation and Microsoft Azure DevOps, whereas Digital.ai Deploy is most compared with Microsoft Azure DevOps, Red Hat Ansible Automation Platform, GitLab and Digital.ai Release .

    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.