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AWS CodeBuild vs Digital.ai Release comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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

AWS CodeBuild
Ranking in Build Automation
12th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Build Automation
10th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Release Automation (4th), DevSecOps (5th)
 

Mindshare comparison

As of September 2026, in the Build Automation category, the mindshare of AWS CodeBuild is 2.3%, up from 1.7% compared to the previous year. The mindshare of Digital.ai Release is 3.4%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
Digital.ai Release3.4%
AWS CodeBuild2.3%
Other94.3%
Build Automation
 

Featured Reviews

SomdipRoy - PeerSpot reviewer
Solution Architect at Skillnetinc
Has enabled automated deployments through continuous integration and supports multi-environment delivery
My recommendation for AWS CodeBuild to make it better for the next release would be something within AWS CodeBuild which can support the repository functions as well. It may not be as powerful as GitHub Actions, but it provides a very competitive price compared to GitHub Actions. GitHub Actions, if you want to use the YML CI/CD pipeline, gives a free tier of around three thousand hours per month. AWS CodeBuild is a little more expensive than that. However, if it supports the repository function as well along with it, then it will be a complete package. Everything would be in AWS, including the code versioning, code commit to the code infrastructure, to the code database, to the networking, and how the applications are accessed. Everything would be in one place, which would be very helpful. I believe AWS CodeBuild is a bit expensive because GitHub provides around three thousand minutes free, plus it has the free repository function as well. At the enterprise level, it charges maybe around nineteen dollars per user, though I do not remember exactly. In terms of AWS CodeBuild, I believe it is a bit expensive because it is providing only the deployment features. It is not providing the repository. In that comparison, I would say it is a little bit expensive.
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.

Quotes from Members

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

Pros

"AWS CodeBuild's support for popular languages and tools has enhanced my productivity; it supports the three most popular stacks that are in the world: the Python stack, the Node.js stack or framework, and the Java framework, along with other technology stacks such as Ruby on Rails."
"AWS CodeBuild's support for a wide range of programming languages and build environments benefits development teams significantly in terms of productivity and ease of use."
"The most important thing is that it's self-contained in an AWS account, and it's all linked to the customer's AWS account."
"It works seamlessly with AWS Elastic Container Registry (ECR)."
"The initial setup of CodeBuild is easy."
"AWS CodeBuild reduces wait time and optimizes workflows."
"The tool is used to build and test code. I find its biggest advantages are elasticity and reliability. We can easily assign as many computing resources as needed to build our code, which is much simpler than traditional methods that require server upgrades. It's a serverless tool, so it's very flexible and elastic."
"The integration with other AWS services has streamlined our workflow."
"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 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."
"Since we started using the manual testing module from Digital.ai, I have seen a positive impact on my organization as our test management has improved significantly."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"Overall, it's been a good experience."
"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."
 

Cons

"There is no persistent storage or preservation of workspace between the builds."
"The deployment fails sometimes."
"While working on building images for multiple applications within a single script, I encountered an issue where looping functionality was not supported as expected."
"The front-end interface and the management are somewhat challenging, and there's a lot of space for improvement."
"One of the main challenges is that if the environment is not set up properly, it will result in issues such as image errors."
"The servers used for macOS and iOS builds are limited in availability, operating only in US East 1 and East 2, and US West 1 and West 2. This geographical limitation causes latency issues and extended build times for regions such as India, impacting production efficiency."
"Notifications could be added, or SNS integration could be included so that notifications can be received on every build, whether the build fails or succeeds."
"Multiple clients have faced issues with pricing. After migrating from Azure to EC2, they were unexpectedly charged 100,000 rupees because the pricing details were not clearly visible."
"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."
"To improve Digital.ai Release, I think the user interface could be improved."
"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."
"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."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
 

Pricing and Cost Advice

"Despite the cost, it is worth the investment."
"AWS CodeBuild is free. We only pay for our code's compute resources during the build process. For example, if our code takes ten minutes to build, we only pay for those ten minutes of computing time. CodeDeploy and CodePipeline are free because they're serverless and don't require computing resources. CodeCommit has minimal costs for storing code."
"We pay a monthly licensing fee."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Outsourcing Company
12%
Financial Services Firm
9%
Comms Service Provider
8%
Financial Services Firm
21%
Manufacturing Company
16%
Outsourcing Company
13%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise4
Large Enterprise2
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise5
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for AWS CodeBuild?
The cost structure is affordable for most builds except macOS servers. Standard builds can utilize AWS EC2 servers for background operations. However, macOS or iOS builds require physical servers m...
What needs improvement with AWS CodeBuild?
My recommendation for AWS CodeBuild to make it better for the next release would be something within AWS CodeBuild which can support the repository functions as well. It may not be as powerful as G...
What is your primary use case for AWS CodeBuild?
My use of AWS CodeBuild is focused on the CI/CD part, which stands for continuous integration and continuous deployment. Basically, we write the code and then commit it into a repository, which cou...
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...
 

Comparisons

 

Also Known As

CodeBuild
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Find out what your peers are saying about AWS CodeBuild vs. Digital.ai Release and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.