BMC Release Process Management [EOL] vs Digital.ai Deploy comparison

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Executive Summary

We performed a comparison between BMC Release Process Management [EOL] and Digital.ai Deploy based on real PeerSpot user reviews.

Find out what your peers are saying about GitLab, Microsoft, Red Hat and others in Release Automation.
To learn more, read our detailed Release Automation Report (Updated: March 2024).
765,234 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:
Pricing and Cost Advice
Information Not Available
  • "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
    Unranked
    In Release Automation
    15th
    out of 32 in Release Automation
    Views
    585
    Comparisons
    344
    Reviews
    1
    Average Words per Review
    197
    Rating
    8.0
    Comparisons
    Also Known As
    Streamstep, BMC RPM
    Deployit, XLDeploy, XebiaLabs XL Deploy
    Learn More
    Overview

    Release management processes ensure the sound deployment of changes to your business-critical applications. BMC Release Process Management helps you deploy more frequently, at lower cost, and with fewer errors. With lightweight, web-based task coordination and execution, your teams will be more productive than ever.

    • Accelerate deployments by reducing release cycles from weeks to hours.
    • Increase business agility by quickly responding to changing market conditions and competitive threats.
    • Ensure worry-free deployments by leveraging strong collaboration across teams.
    • Reduce costs by eliminating labor-intensive manual and script-based processes.

    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
    Ameritas, ChipRewards, MetaScale
    American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm37%
    Insurance Company12%
    Computer Software Company12%
    Manufacturing Company8%
    Company Size
    No Data Available
    REVIEWERS
    Small Business73%
    Midsize Enterprise9%
    Large Enterprise18%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise9%
    Large Enterprise81%
    Buyer's Guide
    Release Automation
    March 2024
    Find out what your peers are saying about GitLab, Microsoft, Red Hat and others in Release Automation. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    BMC Release Process Management [EOL] doesn't meet the minimum requirements to be ranked in Release Automation while Digital.ai Deploy is ranked 15th in Release Automation with 11 reviews. BMC Release Process Management [EOL] is rated 0.0, while Digital.ai Deploy is rated 7.4. 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". BMC Release Process Management [EOL] is most compared with , 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.