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Digital.ai Release vs Plutora comparison

 

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

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)
Plutora
Ranking in Release Automation
17th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Test Management Tools (29th), Value Stream Management Software (7th)
 

Mindshare comparison

As of May 2025, in the Release Automation category, the mindshare of Digital.ai Release is 0.7%, up from 0.6% compared to the previous year. The mindshare of Plutora is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

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.
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Top Industries

By visitors reading reviews
Educational Organization
43%
Financial Services Firm
25%
Computer Software Company
10%
Healthcare Company
5%
Computer Software Company
15%
Financial Services Firm
13%
Insurance Company
8%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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.
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Comparisons

 

Also Known As

XL Release, XebiaLabs XL Release
Plutora Release Management, Plutora Release, Plutora Test Environment Management
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
eBay, United Energy and Multinet Gas (UE & MG), Service NSW, AMP, Accident Compensation Corporation (ACC)
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation. Updated: May 2025.
851,604 professionals have used our research since 2012.