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Bazel vs Digital.ai Release 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

Bazel
Ranking in Build Automation
19th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Build Automation
15th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (9th), DevSecOps (8th)
 

Mindshare comparison

As of August 2025, in the Build Automation category, the mindshare of Bazel is 2.8%, down from 3.0% compared to the previous year. The mindshare of Digital.ai Release is 1.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build 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
Manufacturing Company
21%
Financial Services Firm
18%
Computer Software Company
17%
Comms Service Provider
9%
Financial Services Firm
36%
Computer Software Company
18%
Government
8%
Healthcare Company
8%
 

Company Size

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

Comparisons

 

Also Known As

No data available
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

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