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Digital.ai Deploy vs Digital.ai Release comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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

Digital.ai Deploy
Ranking in Release Automation
14th
Average Rating
7.4
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Release Automation
10th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (15th), DevSecOps (7th)
 

Mindshare comparison

As of March 2026, in the Release Automation category, the mindshare of Digital.ai Deploy is 1.9%, up from 0.7% compared to the previous year. The mindshare of Digital.ai Release is 1.4%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Mindshare Distribution
ProductMindshare (%)
Digital.ai Release1.4%
Digital.ai Deploy1.9%
Other96.7%
Release Automation
 

Featured Reviews

Dorian Sezen - PeerSpot reviewer
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…
Jeanne-Mari Chandran - PeerSpot reviewer
Software Configuration Specialist at a insurance company with 10,001+ employees
Experience seamless project management and integration with robust tools
The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required. I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software. Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.

Quotes from Members

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

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."
"This product is an innovative market leader in the field of application deployment."
"The product sounds good thanks to its UI, as it is really easy to perform a deployment when things work."
"It has been a key enabler for us to implement Continuous Delivery and DevOps across the organisation, increasing release frequency by a factor of approximately 10 and reducing re-deployments by a factor of 50."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"Quicker and more solid installations."
"For a "from scratch" project, the build pipeline is very easy to create: Jenkins for the continuous integration platform and deployIt for pushing the artefact onto our servers."
"The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
"The solution can apply one template across multiple applications."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"Overall, I would give Digital.ai Release a rating of nine out of ten; there's always room for improvement, but it's really good."
 

Cons

"I’d like better reporting possibilities."
"The basic design is broken, as it computes diffs to perform updates."
"Documentation / initial setup / learning curve."
"Customer service was not very good."
"Customer Service: 3/10. Technical Support: 3/10."
"The tool needs to improve on cloud-native GitOps."
"Some deployables have to be built, it is not quite difficult but not every product is supported by one standard."
"The GUI deserves some improvements."
"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
"The solution is a little bit expensive."
"I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what Digital.ai's cloud capabilities are."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
 

Pricing and Cost Advice

"The product’s pricing is acceptable. We get volume discounts."
"Pricing costs are based on annual subscriptions."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
Marketing Services Firm
10%
Healthcare Company
8%
Financial Services Firm
29%
Computer Software Company
12%
Insurance Company
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise2
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
 

Questions from the Community

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Earn 20 points
What do you like most about Digital.ai Release ?
The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us.
What needs improvement with Digital.ai Release ?
Based on my experience, I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what ...
What is your primary use case for Digital.ai Release ?
My use case for Digital.ai Release is that I work for an insurance company on a very big project that develops multiple different pieces of software. We use Digital.ai Release to move our software ...
 

Also Known As

Deployit, XLDeploy, XebiaLabs XL Deploy
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Find out what your peers are saying about Digital.ai Deploy vs. Digital.ai Release and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.