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Digital.ai Release vs Split 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
11th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
12
Ranking in other categories
Release Automation (6th), DevSecOps (5th)
Split
Ranking in Build Automation
21st
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 August 2026, in the Build Automation category, the mindshare of Digital.ai Release is 3.3%, up from 0.9% compared to the previous year. The mindshare of Split is 0.6%, 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 Release3.3%
Split0.6%
Other96.1%
Build Automation
 

Featured Reviews

Merit Ronald - PeerSpot reviewer
Senior Software Engineer at Absa Bank Uganda
Automated release workflows have reduced manual coordination and improve deployment consistency
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 compared to others, especially when setting up more advanced release flows. A cleaner and more intuitive interface would make it easier to get started and begin using it. I would also like to see stronger reporting and analytics to help track releases, progress, and have ready-to-use reports around deployment success rates. Another area is integration, as Digital.ai Release connects with many DevOps tools, but some integrations can require configurations and maintenance, making the work hectic. If those connections could be made more straightforward, it would save time.
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

"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."
"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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"Since using Digital.ai Release, time has been saved, money has been saved, and staffing requirements have been reduced."
"The impact of adopting Digital.ai Release has been quite measurable, with the average time spent coordinating releases reduced by about seventy percent, deployment time reduced by roughly thirty percent, and deployment-related errors reduced by about twenty-five percent because the same automated steps are performed consistently."
"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."
"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."
"Split has positively impacted my organization by improving both developer experience and customer experience."
"Split facilitated a culture of data-driven decision-making, allowing us to validate our ideas and providing measurable outcomes for decisions."
"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."
"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."
 

Cons

"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."
"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."
"One improvement for Digital.ai Release could be to simplify the user interface for beginners."
"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."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"A few challenges have been encountered, and from my experience, Digital.ai Release should improve the user interface."
"I feel that it could be more user-friendly, as the UI feels a bit old and not very appealing."
"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."
"Additionally, we tend to move towards other issues related to Split due to flickering issues, which we observed because of latency."
"There are areas where Split can be improved, particularly around advanced reporting and visualization capabilities."
"The UI of split.io can be improved."
"Initially, I had difficulty finding analytics and understanding setup."
 

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
23%
Manufacturing Company
18%
Insurance Company
9%
Construction Company
8%
No data available
 

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 ?
The pricing, setup cost, and licensing for Digital.ai Release are a little expensive when I look at it, especially the enterprise-level licenses. However, since I have not worked with licensing dir...
What needs improvement with Digital.ai Release ?
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 b...
What is your primary use case for Digital.ai Release ?
My main use case for Digital.ai Release is to release Azure-related cloud resources like Azure Key Vault and Application Insights to support any cloud integration on the Azure side. A specific exam...
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...
 

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: August 2026.
909,725 professionals have used our research since 2012.