Automic Continuous Delivery Automation [EOL] vs Digital.ai Agility comparison

Why PeerSpot?

Broadcom and Digital.ai are both solutions in the Release Automation category. Additionally, 86% of Broadcom users are willing to recommend the solution, compared to 80% of Digital.ai users who would recommend it.

Automic Continuous Delivery...

Read 13 Automic Continuous Delivery Automation [EOL] reviews

86% willing to recommend

Digital.ai Agility

Read 8 Digital.ai Agility reviews

3,596 Views
1,079 Comparison Views

80% willing to recommend

Automic Continuous Delivery...

Digital.ai Agility

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Automic Continuous Delivery Automation [EOL] and Digital.ai Agility 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: October 2026).

Buyer's Guide

Release Automation

October 2026

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Helped 916,582 peers since 2012

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

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Digital.ai Agility

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Application Lifecycle Management (ALM) Suites (14th), Release Automation (12th), Enterprise Agile Planning Tools (6th), Value Stream Management Software (5th)

Featured Reviews

reviewer895359

Principal Project Engineer at a computer software company with 501-1,000 employees

Automatic installation for complex deployments and environments, with good workflow support

I like that really complex deployments are possible with it. It's very good. You have everything you need. You can design your workflows for your needs. You can do so much more, it's not just an automatic installation tool. It's a real deployment tool. I can do the complete deployment with everything that is possible.

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JaiBharath Boithi

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.

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Quotes from Members

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

Pros

"The metrics gathered after deployment, for example, the rate of success versus the rate of failure."

"I think on a day-to-day basis, it has increased the capacity to deploy. We don't have to wait for someone to do something."

"The main benefit is you can deploy everything with it."

"It can support very complex environments and dependencies."

"Self-service for developers, because they are able to deploy to development departments on their own, without needing people from operations."

"You can design your workflows for your needs."

"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."

"What we like about the product is that it is more or less an umbrella system that allows us to integrate many different systems into our heterogeneous environment."

More Automic Continuous Delivery Automation [EOL] pros

"It allows my clients to have one central tool to manage their agile projects."

"The most valuable thing is kind of the whole package together."

"Overall, the biggest benefits have been better delivery visibility, improved planning, faster decision-making, and reduced administrative effort."

"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."

"The solution is excellent for collaboration; from the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively."

"You can use Digital.ai Agility for automating your tasks and creating your dashboard."

"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."

"Digital.ai Agility helped our organization define the Enterprise Value Streams, and in the tool you can derive all user stories, features, and epics from the top-level portfolio items and value streams so any work that is done must contribute to the value streams, otherwise it should be questioned why that effort is being executed."

More Digital.ai Agility pros

Cons

"key thing is support for cloud-based deployment. That is lacking."

"Stability-wise I think it still needs to be improved; performance-wise. It crashes from time to time."

"We're a WebSphere shop so I would like to see more support for WebSphere, only because it's the platform that they seem to want to use the most."

"I would like to see more support for WebSphere."

"GUI for mobile phones: Availability to approve and start deployment through mobile phones."

"The first time setup can be very complicated."

"One of the biggest features I've been asked by my team to put in there is opening more scripting languages to be part of the platform. There is a little bit of a learning curve in learning how to code some of the workflows in Automic at this time. If widely used languages like Perl and Python were integrated, on top of what's already there, the proprietary language, it would make it easier to on-board new resources."

"Not a perfect ten because the user interface is brand new and it needs improvement."

More Automic Continuous Delivery Automation [EOL] cons

"It was not supporting some plugins. We wanted to migrate data that we were already using."

"Improve how to create and track releases. Currently, I have to create child projects."

"The user interface could also be simplified to make it easier for new users."

"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."

"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."

"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."

"The response from Digital.ai Agility is a little bit slow and could be faster."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

Pricing and Cost Advice

"I can save time and money more quickly."

"Customers often complain about the price."

"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."

"We increased our quality and reduced our time costs."

"Comparing the pricing to other products, I think this solution is in the middle."

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."

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Top Industries

By visitors reading reviews

Outsourcing Company

15%

Construction Company

13%

Comms Service Provider

11%

Healthcare Company

Manufacturing Company

13%

Insurance Company

10%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	5

Questions from the Community

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Earn 20 points

What needs improvement with Digital.ai Agility?

See all answers

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...

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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...

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Comparisons

UrbanCode Deploy vs Automic Continuous Delivery Automation [EOL]

Compared 19% of the time

Nolio Release Automation vs Automic Continuous Delivery Automation [EOL]

Compared 16% of the time

Chef vs Automic Continuous Delivery Automation [EOL]

Compared 11% of the time

Plutora vs Automic Continuous Delivery Automation [EOL]

Compared 10% of the time

Red Hat Ansible Automation Platform vs Automic Continuous Delivery Automation [EOL]

Compared 9% of the time

More Automic Continuous Delivery Automation [EOL] Competitors

Jira vs Digital.ai Agility

Compared 12% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

OpenText Deployment Automation vs Digital.ai Agility

Compared 5% of the time

More Digital.ai Agility Competitors

Product Reports

Buyer's Guide

Automic Continuous Delivery Automation [EOL]

October 2026

Automic Continuous Delivery Automation [EOL] report

Download Automic Continuous Delivery Automation [EOL] product report

Buyer's Guide

Digital.ai Agility

October 2026

Download Digital.ai Agility product report

Also Known As

CA Continuous Delivery Automation, Automic Release Automation, Automic ONE Automation, UC4 Automation Platform

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum

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.

Broadcom

Digital.ai Agility provides powerful visualization, automation, multiple planning levels, and integration capabilities, promoting efficient task management and organizational alignment.

Digital.ai Agility efficiently supports development tasks, facilitating agile frameworks like Scrum, Kanban, and SAFe. It offers strong collaboration features, automation capabilities, and seamless integrations. While it could improve its machine learning and analytics integration, it enables planning release automation and backlog management, assisting in strategic theme definition and linking portfolio items. Its sprint functionality, value stream creation, and team velocity calculations stand out for users.

What critical features does Digital.ai Agility offer?

Visualization: Robust tools to create clear development roadmaps.
Automation: Reduces manual effort and enhances workflow efficiency.
Integration: Supports integration with tools like Jira and Azure DevOps.
Planning Levels: Manages multiple iteration plans and "what if" scenarios.

What benefits should users expect?

Team Productivity: Supports agile frameworks and reduces plugin needs.
Goal Alignment: Links development tasks with strategic objectives.
Collaboration: Enhances teamwork with effective Scrum boards.
Flexibility: Facilitates transitions from other platforms.

Digital.ai Agility is widely used across industries for deployment standardization and release automation. It helps organizations manage backlogs and create intuitive dashboards, enabling them to adapt to different project management methodologies, suitable for both software and non-software teams.

Digital.ai

Sample Customers

BET365, Charter Communications, TASC

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: October 2026.

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