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Digital.ai Release vs Endor Labs 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 Build Automation
15th
Ranking in DevSecOps
6th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Release Automation (9th)
Endor Labs
Ranking in Build Automation
33rd
Ranking in DevSecOps
14th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Static Application Security Testing (SAST) (35th), Software Composition Analysis (SCA) (19th), Software Supply Chain Security (15th)
 

Mindshare comparison

As of May 2026, in the Build Automation category, the mindshare of Digital.ai Release is 2.7%, up from 0.8% compared to the previous year. The mindshare of Endor Labs is 1.0%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
Digital.ai Release2.7%
Endor Labs1.0%
Other96.3%
Build Automation
 

Featured Reviews

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.
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
10%
Insurance Company
9%
Manufacturing Company
9%
Financial Services Firm
10%
University
9%
Construction Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Release ?
Digital.ai Release is affordable in terms of pricing and setup cost. The integration was easy, and the pricing was good, though not ideal for small teams.
What needs improvement with Digital.ai Release ?
One improvement for Digital.ai Release could be to simplify the user interface for beginners. New users may take time to understand release pipelines and templates, so more guided onboarding tutori...
What is your primary use case for Digital.ai Release ?
Digital.ai Release orchestrates and automates the application release pipelines in our organization. When a new application build is ready, Digital.ai Release coordinates the deployment pipeline au...
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Earn 20 points
 

Comparisons

 

Also Known As

XL Release, XebiaLabs XL Release
No data available
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Information Not Available
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