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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
17th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Release Automation (12th), DevSecOps (12th)
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 May 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.8%, down from 1.0% compared to the previous year. The mindshare of LaunchDarkly is 0.4%. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

Navanath Gajare - PeerSpot reviewer
Effectively automates deployments and applies one template across applications
Our company uses the solution to handle deployments for new releases. Whenever there is a new release, the solution creates a new provision template for deployment. We also orchestrate and manage all users. We integrate with other tools like GitHub, Jenkins, or Digital.ai Deploy to manage…
James Bayhylle - PeerSpot reviewer
Provides risk-free releases with control access and A/B testing
It allowed us to deploy faster. Despite having a rigorous code review process that slowed things down, once the code was reviewed, LaunchDarkly enabled safe deployments. If there was ever an issue, we could easily roll back a particular release by simply turning off the feature flag. When configuring and setting this up, begin with feature sets that are relatively small in scope. This helps build the necessary skills to leverage the product effectively while maintaining control over the blast radius, thus reducing risk to your customers and application in case of misconfiguration. As you gain more experience with the solution, it's crucial to have a process to manage feature flag sprawl, as mentioned earlier. Implementing a life cycle management system for your feature flags is essential. Overall, I rate the solution a nine out of ten because of its intuitiveness and ease of use.

Quotes from Members

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

Pros

"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 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 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."
"The setup is easy."
"It has really helped during the series of product lines and faster deployment and faster development."
"From the development side, it allows us to manage multiple things."
"The initial setup is very easy."
"The ability to turn off a flag is crucial when a task is not complete, especially if there is an error in a commit."
"I like that it offers the ability to control the flags."
"I appreciate that we can release any feature in production and maintain control over it."
 

Cons

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

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
Educational Organization
45%
Financial Services Firm
24%
Computer Software Company
10%
Healthcare Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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.
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: April 2025.
850,028 professionals have used our research since 2012.