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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
15th
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
12th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (19th), DevSecOps (12th)
 

Mindshare comparison

As of May 2025, in the Release Automation category, the mindshare of Digital.ai Deploy is 0.8%, up from 0.7% compared to the previous year. The mindshare of Digital.ai Release is 0.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

Dorian Sezen - PeerSpot reviewer
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
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

"This product is an innovative market leader in the field of application deployment."
"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"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."
"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."
"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."
 

Cons

"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."
"The tool needs to improve on cloud-native GitOps."
"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."
"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 solution is a little bit expensive."
"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 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."
 

Pricing and Cost Advice

"Pricing costs are based on annual subscriptions."
"The product’s pricing is acceptable. We get volume discounts."
"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
41%
Computer Software Company
18%
Insurance Company
9%
Healthcare Company
5%
Educational Organization
43%
Financial Services Firm
25%
Computer Software Company
10%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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 ?
There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...
What is your primary use case for Digital.ai Release ?
It helps with creating documentation, release processes, deploying to lower environments, scheduling meetings, and sending emails to stakeholders. The goal is to reduce manual work and save time.
 

Comparisons

No data available
 

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: April 2025.
851,604 professionals have used our research since 2012.