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Digital.ai Release vs LaunchDarkly comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 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 Release
Ranking in Build Automation
14th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (8th), DevSecOps (8th)
LaunchDarkly
Ranking in Build Automation
12th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Build Automation category, the mindshare of Digital.ai Release is 1.3%, up from 0.9% compared to the previous year. The mindshare of LaunchDarkly is 1.0%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Market Share Distribution
ProductMarket Share (%)
LaunchDarkly1.0%
Digital.ai Release1.3%
Other97.7%
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.
Ramya Nallamsetty - PeerSpot reviewer
Enables us to target users and control what needs to be visible on their screens but it sometimes breaks down
We use LaunchDarkly for managing feature flags. It helps manage the keys to control what users view on our screens By managing the feature flags, we can target users and control what needs to be visible on their screens. I like that it offers the ability to control the flags. We need experience…

Quotes from Members

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

Pros

"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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."
"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 solution can apply one template across multiple applications."
"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 setup is easy."
"From the development side, it allows us to manage multiple things."
"It has really helped during the series of product lines and faster deployment and faster development."
"The ability to turn off a flag is crucial when a task is not complete, especially if there is an error in a commit."
"The initial setup is very easy."
"I appreciate that we can release any feature in production and maintain control over it."
"I like that it offers the ability to control the flags."
 

Cons

"The solution is a little bit expensive."
"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 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."
"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."
"I strongly believe they need to develop a strategy for handling situations where LaunchDarkly goes down."
"I have used LaunchDarkly for around two and a half years and I haven't faced any issues with it."
"We need experience to use it, and the initial setup can be difficult. Also, sometimes it has breakdowns."
"When the system has an excessive number of feature flags, managing them can become cumbersome."
"The feature where one feature flag is dependent on another could be explored more for our usage."
"Fetching information about multiple flags in a single action would be beneficial."
"Right now, no improvements are needed."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
38%
Computer Software Company
16%
Healthcare Company
9%
Insurance Company
8%
No data available
 

Company Size

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

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 ?
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 ...
What needs improvement with LaunchDarkly?
We need experience to use it, and the initial setup can be difficult. Also, sometimes it has breakdowns. I would rate LaunchDarkly a seven out of ten.
What is your primary use case for LaunchDarkly?
We use LaunchDarkly for managing feature flags. It helps manage the keys to control what users view on our screens.
 

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
Find out what your peers are saying about Digital.ai Release vs. LaunchDarkly and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.