Automic Continuous Delivery Automation [EOL] vs Digital.ai Deploy 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 81% 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 Deploy

Read 11 Digital.ai Deploy reviews

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2,023 Comparison Views

81% willing to recommend

Automic Continuous Delivery...

Digital.ai Deploy

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Automic Continuous Delivery Automation [EOL] 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: August 2026).

Buyer's Guide

Release Automation

August 2026

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Helped 914,938 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 Deploy

Average Rating

7.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Release Automation (11th)

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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Dorian Sezen

Managing Partner at Kloia

Good solution for heterogeneous enterprise environments that have different workflows

The solution is for heterogeneous enterprise environments that have different workflows like Kubernetes, Linux, Windows, and mainframe The solution creates a manifest file that caps the bridge between the developer and the system admin. The tool needs to improve on cloud-native GitOps. I have…

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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 capability to provide visibility to the stakeholders, to management, is the biggest piece that showcases what the solution is about."

"The IT process automation is the most valuable aspect of this solution."

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

"At the end of the day, at the end of the year, CA offered the best package overall, and that wasn't just from a product standpoint but also a support standpoint."

"I would say our headwind, or our time to market, is reduced considerably. We get more consistent results out of it, because you write one time and once it's automated you expect it to behave the same way every time. And it cut down a lot of re-work for us."

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

"It can support very complex environments and dependencies."

"You can automate everything you want."

More Automic Continuous Delivery Automation [EOL] pros

"For us the flexibility of this product is nice, we can manage several things within one file and by giving parameters to the deployables."

"Jenkins deployment was hard to maintain different environments, different variables, machines etc., now we have it all under one roof."

"The solution creates a manifest file that caps the bridge between the developer and the system admin."

"This product is an innovative market leader in the field of application deployment."

"Customer support is excellent, quick response from product specialists."

"The main quality is still to have a One Click process, then you save precious time."

"The product sounds good thanks to its UI, as it is really easy to perform a deployment when things work."

"Quicker and more solid installations."

More Digital.ai Deploy pros

Cons

"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."

"File transfer is not very efficient. It takes a bit longer than some other methods and when you send the file from one platform to another, especially from the mainframe, the results consumption is quite high compared to other methods."

"We hope that we can integrate the new CD Directive into our portfolio, so we can bring the deployment and release management closer together."

"The first time setup can be very complicated."

"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."

"It would be very beneficial for us to see integrations into cloud environments, especially into the Google Cloud environment because we are heading towards cloud."

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

"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."

More Automic Continuous Delivery Automation [EOL] cons

"The GUI deserves some improvements."

"GUI: uses Adobe Flash which is a bit of a pain (Soon to be replaced by a new GUI with HTML5 and AngularJS)."

"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."

"Documentation / initial setup / learning curve."

"Customer service was not very good."

"I’d like better reporting possibilities."

"The basic design is broken, as it computes diffs to perform updates."

More Digital.ai Deploy cons

Pricing and Cost Advice

"Customers often complain about the price."

"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."

"Pricing costs are based on annual subscriptions."

"The product’s pricing is acceptable. We get volume discounts."

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Top Industries

By visitors reading reviews

Outsourcing Company

16%

Construction Company

14%

Comms Service Provider

11%

Healthcare Company

Outsourcing Company

18%

Construction Company

11%

Financial Services Firm

10%

Manufacturing 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	8
Midsize Enterprise	1
Large Enterprise	2

Comparisons

UrbanCode Deploy vs Automic Continuous Delivery Automation [EOL]

Compared 20% 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 12% of the time

Plutora vs Automic Continuous Delivery Automation [EOL]

Compared 10% of the time

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Clarive vs Digital.ai Deploy

Compared 13% of the time

MidVision RapidDeploy vs Digital.ai Deploy

Compared 11% of the time

Nolio Release Automation vs Digital.ai Deploy

Compared 11% of the time

Basis ActiveControl vs Digital.ai Deploy

Compared 10% of the time

Arcad DROPS vs Digital.ai Deploy

Compared 10% of the time

More Digital.ai Deploy Competitors

Product Reports

Buyer's Guide

Automic Continuous Delivery Automation [EOL]

September 2026

Automic Continuous Delivery Automation [EOL] report

Download Automic Continuous Delivery Automation [EOL] product report

Buyer's Guide

Digital.ai Deploy

September 2026

Download Digital.ai Deploy product report

Also Known As

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

Deployit, XLDeploy, XebiaLabs XL Deploy

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 Deploy streamlines application deployment, ensuring consistent release processes by automating complex deployment tasks to enhance delivery speed and accuracy.

Digital.ai Deploy is designed to automate and scale application release processes, catering to the needs of enterprises seeking to optimize their delivery pipeline. It supports multi-platform environments, providing reliability and flexibility for large-scale deployments. By integrating with existing toolchains, it minimizes disruptions and enhances productivity, helping businesses achieve quicker time-to-market with improved accuracy.

What are the most important features of Digital.ai Deploy?

Automated Deployment: Streamlines complex workflows to reduce manual errors.
Scalable Architecture: Manages large-scale deployments across multiple environments.
Integration Support: Connects seamlessly with current tools to enhance functionality.
Role-based Access Control: Ensures security by defining clear user permissions.
Audit Tracking: Provides comprehensive logs for deployment transparency.

What benefits and ROI should users consider in reviews?

Increased Efficiency: Reduces deployment time, allowing for faster releases.
Cost Savings: Minimizes errors and downtime, reducing operational costs.
Enhanced Security: Protects resources through controlled access and detailed logging.
Flexibility: Adapts to unique business demands, supporting growth and changes.

Digital.ai Deploy is widely implemented in industries like finance, healthcare, and telecommunications. In finance, it ensures secure transaction processes; in healthcare, it supports compliance with regulatory standards; and in telecommunications, it manages large-scale network service deployments.

Digital.ai

Sample Customers

BET365, Charter Communications, TASC

American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA

Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation. Updated: August 2026.

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