No more typing reviews! Try our Samantha, our new voice AI agent.

Automic Continuous Delivery for IBM Z [EOL] vs Digital.ai Agility comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Automic Continuous Delivery...
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Digital.ai Agility
Average Rating
8.4
Reviews Sentiment
6.0
Number of Reviews
8
Ranking in other categories
Application Lifecycle Management (ALM) Suites (14th), Release Automation (12th), Enterprise Agile Planning Tools (7th), Value Stream Management Software (4th)
 

Featured Reviews

Use Automic Continuous Delivery for IBM Z [EOL]?
Leave a review
JaiBharath Boithi - PeerSpot reviewer
Data scientist at a tech vendor with 51-200 employees
Agile planning has improved daily coordination but reporting and dashboards still need more flexibility
I would like to see more advanced reporting and analytics customization. The existing dashboards are useful for tracking velocity, backlog, and delivery, but deeper real-time insights would improve decision-making. I would also like simpler integrations and more flexibility, especially across large teams and complex projects. Another improvement I would like is more flexible reporting and dashboard customization, especially for creating organization-specific metrics. More intuitive visualizations would also help. Digital.ai Agility can be improved mainly by making reporting and dashboard customization more flexible and intuitive. I would also like simpler integrations with third-party tools and easier configurations of automated workflows. Better dependency visualizations and real-time alerts for delivery risk would help large teams identify blockers earlier. The user interface could also be simplified to make it easier for new users. Overall, these improvements would make day-to-day planning, reporting, and cross-team coordination more efficient. There are a few areas where improvements are needed. I would like to see further improvements in user experience and navigation, especially making commonly used features easier to access for new users. More intuitive dashboard customization, better dependency visualization, and simpler third-party integrations would also help.
report
Use our free recommendation engine to learn which Release Automation solutions are best for your needs.
913,349 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Manufacturing Company
13%
Insurance Company
11%
Construction Company
9%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Large Enterprise5
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Digital.ai Agility?
I would like to see more advanced reporting and analytics customization. The existing dashboards are useful for tracking velocity, backlog, and delivery, but deeper real-time insights would improve...
What is your primary use case for Digital.ai Agility?
I primarily use Digital.ai Agility for Agile project management, sprint planning, backlog management, and tracking team progress and deliveries. We use Digital.ai Agility for Agile project and port...
What advice do you have for others considering Digital.ai Agility?
I can advise others to use Digital.ai Agility for organizations. It is good for enterprise-level Agile planning across multiple teams and portfolios. Before implementing it, I would suggest startin...
 

Comparisons

No data available
 

Also Known As

No data available
VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum
 

Overview

 

Sample Customers

eviivo
Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation. Updated: August 2026.
913,349 professionals have used our research since 2012.