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AWS CodeBuild vs Digital.ai Release comparison

 

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
15th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Release Automation (9th), DevSecOps (6th)
 

Mindshare comparison

As of June 2026, in the Build Automation category, the mindshare of AWS CodeBuild is 2.3%, up from 1.2% compared to the previous year. The mindshare of Digital.ai Release is 2.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
AWS CodeBuild2.3%
Digital.ai Release2.8%
Other94.9%
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

"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 is a good feature."
"It works seamlessly with AWS Elastic Container Registry (ECR)."
"The initial setup of CodeBuild is easy."
"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."
"Scalability is a great feature with AWS CodeBuild, because after deploying applications the service automatically scales up and down according to our AWS needs using load balancing, which makes managing applications much easier without significant interruptions."
"A valuable feature is the support for third-party repositories such as Bitbucket, GitLab, or GitHub."
"AWS CodeBuild reduces wait time and optimizes workflows."
"The solution can apply one template across multiple applications."
"Since using Digital.ai Release, time has been saved, money has been saved, and staffing requirements have been reduced."
"Digital.ai Release offers the best features such as good integration between multiple tools and flexible options for usage; while I have not configured the template myself, I use existing templates and find that anything can be accomplished using the workflows and integrations."
"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."
"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."
"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."
 

Cons

"We had integration issues with a tool called Octopus Deploy while using CodeBuild. AWS support helped us resolve it, however, it could be better."
"The deployment fails sometimes."
"For improvement, I'd suggest more build instance-type options. There's a big jump from 15 gigabytes of RAM to 150, and I'd like something in between as the larger option is too expensive for our needs."
"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."
"They can further improve the integration of the Bitbucket for CodeBuild."
"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."
"There have been times when CodeBuild has shown some instability, like bugs or breakdowns."
"To improve Digital.ai Release, I think the user interface could be improved."
"One improvement for Digital.ai Release could be to simplify the user interface for beginners."
"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."
"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."
"I feel that it could be more user-friendly, as the UI feels a bit old and not very appealing."
"Sometimes it can be tedious when fulfilling multiple different packages with their key and value pairs."
 

Pricing and Cost Advice

"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."
"Despite the cost, it is worth the investment."
"The solution's license includes all features."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
12%
Media Company
9%
Healthcare Company
7%
Financial Services Firm
24%
Manufacturing Company
9%
Computer Software Company
9%
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 Enterprise2
Large Enterprise7
 

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 ?
Digital.ai Release is affordable in terms of pricing and setup cost. The integration was easy, and the pricing was good, though not ideal for small teams.
What needs improvement with Digital.ai Release ?
One improvement for Digital.ai Release could be to simplify the user interface for beginners. New users may take time to understand release pipelines and templates, so more guided onboarding tutori...
What is your primary use case for Digital.ai Release ?
Digital.ai Release orchestrates and automates the application release pipelines in our organization. When a new application build is ready, Digital.ai Release coordinates the deployment pipeline au...
 

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: June 2026.
900,644 professionals have used our research since 2012.