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Digital.ai Release vs Split comparison

Why PeerSpot?
 

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
9th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Release Automation (6th), DevSecOps (5th)
Split
Ranking in Build Automation
20th
Average Rating
8.2
Reviews Sentiment
4.9
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Build Automation category, the mindshare of Digital.ai Release is 3.3%, up from 1.3% compared to the previous year. The mindshare of Split is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
Digital.ai Release3.3%
Split0.6%
Other96.1%
Build Automation
 

Featured Reviews

reviewer1442733 - PeerSpot reviewer
Application Architect at a insurance company with 1,001-5,000 employees
Standardized releases have reduced errors and now streamline our cloud resource management
To improve Digital.ai Release, I think the user interface could be improved. For example, I have a plan phase before my build phase, and sometimes the toggle button is hidden. I have to toggle it before the step can be executed, or it will be skipped. Many people who did not use Digital.ai Release before do not even know there is a toggle button, and the first time when they run into that phase, they will definitely skip that step. Regarding needed improvements, I did not do extensive reading on documentation or training material directly from Digital.ai Release. My knowledge comes from the team who has been using it. However, I would appreciate standardized training material that would give me hands-on experience.
PM
Senior Decision Scientist at Tesco
Data-driven experiments have transformed feature rollouts and now validate business impact
I feel that overall my experience with Split has been positive regarding necessary improvements, particularly around user experience and enhancements to the user interface, especially for larger teams. As experimentation programs grow, users must navigate many feature flags and different environments, so making discovery, organization, and lifecycle management more intuitive would be beneficial. While Split integrates well with many tools, additional connectivity with analytics and BI reporting platforms could provide a more seamless experience for organizations. There are areas where Split can be improved, particularly around advanced reporting and visualization capabilities. While the platform manages experiments and feature rollouts effectively, having more robust, out-of-the-box reporting options would allow business stakeholders to interpret results without relying on external tools. Additionally, as organizations grow, managing and overseeing feature flags becomes more challenging, so enhancing governance capabilities would be beneficial. In terms of user experience and integrations, I think the platform could enhance those areas as well. Users often need to navigate through a large number of feature flags as experimentation programs scale, so improvements to the user interface that simplify discovery, organization, and lifecycle management would be valuable, especially for larger teams. While Split integrates effectively with many tools, increasing connectivity with analytics and BI reporting could help organizations enhance their operations.

Quotes from Members

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

Pros

"Since using Digital.ai Release, one of the benefits is standardizing the way I release to my Azure environment, which in the long term will help me reduce costs and improve efficiency."
"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."
"The solution can apply one template across multiple applications."
"Digital.ai Release has made my work easier and simpler by automating many actions, so I do not have to verify too many points; the tool does it automatically."
"Overall, it's been a good experience."
"Since using Digital.ai Release, time has been saved, money has been saved, and staffing requirements have been reduced."
"Involving both infrastructure and application teams in the same pipeline has genuinely helped my process, as we have one specific person starting the pipeline, another approving it, and another coordinating as DevOps or monitoring all processes from the infrastructure side, providing excellent assistance because we have different and clearly separated responsibilities."
"Split facilitated a culture of data-driven decision-making, allowing us to validate our ideas and providing measurable outcomes for decisions."
"Split is a great way to handle the config based on checks and in a dynamic way if you want to control your software without doing any deployment."
"Split has positively impacted my organization by improving both developer experience and customer experience."
"Split has increased some of our CVR; for example, in a recent pop-up model experiment, our conversion was around 15% and once we started the experiment, the on-variant won by increasing the CVR up to 35%, making it a really good tool for determining which particular feature would deliver the expected CVR."
 

Cons

"The solution is a little bit expensive."
"Digital.ai Release can be improved by reducing the number of tasks that need to be completed before starting a release, as there are too many tasks to get done."
"To improve Digital.ai Release, I think the user interface could be improved."
"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."
"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 feel that it could be more user-friendly, as the UI feels a bit old and not very appealing."
"Digital.ai Release could be improved, particularly because the automated test capabilities are not that strong compared to some major tools like UIPath, Tosca, or SmartBear TestComplete."
"Sometimes it can be tedious when fulfilling multiple different packages with their key and value pairs."
"Initially, I had difficulty finding analytics and understanding setup."
"Additionally, we tend to move towards other issues related to Split due to flickering issues, which we observed because of latency."
"The UI of split.io can be improved."
"There are areas where Split can be improved, particularly around advanced reporting and visualization capabilities."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
16%
Outsourcing Company
13%
Insurance Company
9%
University
57%
Retailer
8%
Outsourcing Company
8%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business7
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Release ?
In terms of pricing, Digital.ai Release is more of an enterprise-level investment. It is not a low-cost tool, and the actual cost depends on factors such as the number of users, deployment needs, a...
What needs improvement with Digital.ai Release ?
A few challenges have been encountered, and from my experience, Digital.ai Release should improve the user interface. It has a lot of functionality, but some areas can be a little too complicated c...
What is your primary use case for Digital.ai Release ?
Digital.ai Release is used primarily to manage and automate the release process across software environments. Instead of having developers, testers, and operation teams coordinating every deploymen...
What needs improvement with Split?
I feel that overall my experience with Split has been positive regarding necessary improvements, particularly around user experience and enhancements to the user interface, especially for larger te...
What is your primary use case for Split?
I have used Split to perform AB tests, controlled releases, and measure business outcomes. While my focus has been on analytics and the decision-making side, I have also used this platform for admi...
 

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
Find out what your peers are saying about Digital.ai Release vs. Split and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.