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AWS CodePipeline vs Digital.ai Release 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

AWS CodePipeline
Ranking in Build Automation
5th
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
23
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Build Automation
15th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (10th), DevSecOps (7th)
 

Mindshare comparison

As of February 2026, in the Build Automation category, the mindshare of AWS CodePipeline is 3.2%, down from 6.2% compared to the previous year. The mindshare of Digital.ai Release is 2.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation Market Share Distribution
ProductMarket Share (%)
AWS CodePipeline3.2%
Digital.ai Release2.0%
Other94.8%
Build Automation
 

Featured Reviews

JR
Head of Development at Abyss
Employs advanced deployment strategies and manages CI/CD workflow efficiently
Blue-green deployment has been incredibly beneficial for handling complex deployments in AWS CodePipeline. It allows me to test changes in an isolated environment before deploying them to the entire user base. Additionally, the CI/CD support provided by AWS simplifies the integration process by adding YAML files to projects, enabling AWS to manage the entire CI/CD workflow.
Jeanne-Mari Chandran - PeerSpot reviewer
Software Configuration Specialist at a insurance company with 10,001+ employees
Experience seamless project management and integration with robust tools
The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required. I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software. Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.

Quotes from Members

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

Pros

"I prefer using CodePipeline and CodeBuild in AWS due to their integration with AWS services, like directly deploying to ECS using Cloud Deploy."
"CodePipeline allows integration with any source code and facilitates deployment to EC2 or ECS, which is highly valuable."
"It's a perfect solution if you are just using AWS."
"It helps develop CI/CD implementations with centralized management of code building, deployment, and version control."
"The product is cost-effective and integrates well with the AWS environment."
"The tool's recent version helps us to run pipelines in parallel. The integration with other AWS services has greatly impacted our use of AWS CodePipeline. It made tasks such as integrating with Jira and provisioning instances much easier."
"I find performance to be the most valuable CodePipeline feature. It works perfectly and smoothly."
"Another big advantage is observability."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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 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 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

"AWS CodePipeline is quite a simple tool mostly for management and creating automation."
"It would be a much better tool if it could be made compatible with other cloud services as well since this is an area the product currently lacks."
"AWS CodePipeline doesn't offer much room for customization."
"It would be best if AWS CodePipeline provided multiple integration options directly by providing some URLs."
"The tool does not provide automated features for evidence collection."
"If you're talking about multi-cloud, you can't use it."
"In the next release, I would like to see fewer timeout errors."
"Improved enhancements and features could make it more intuitive."
"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."
"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."
"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 solution is a little bit expensive."
"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."
 

Pricing and Cost Advice

"I would rate the product's pricing a five out of ten."
"The product is quite expensive compared to other solutions."
"AWS charges you based on the number of pipelines you have and how active they are, and I also think that the root account user knows about all the price-related metrics."
"The price of the product depends on how many times you run it. The tool offers a pay-as-you-go model."
"AWS CodePipeline is quite affordable. I've been running around four pipelines and the cost is around one dollar per month. It rarely exceeds two dollars."
"The pricing of this solution is dependent upon your needs including how many jobs you daily and how many times the developer will be changing codes and completing deployments."
"AWS offers free business or enterprise support services."
"It is a straightforward approach where you pay for the resources you consume as they offer a subscription-based licensing model."
"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
15%
Computer Software Company
11%
Government
8%
Educational Organization
7%
Financial Services Firm
26%
Computer Software Company
12%
Insurance Company
12%
Healthcare Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise7
No data available
 

Questions from the Community

Which AWS solution would you choose - CodeStar or CodePipeline?
Both AWS solutions deliver solid options, with uniquely different features. AWS CodeStar allows for quick development, building, and deployments of apps. It also provides web application and web se...
What is your experience regarding pricing and costs for AWS CodePipeline?
AWS CodePipeline's pricing is reasonable, and it is not too expensive. I estimated it costs around $5 monthly. On a scale from one to ten, where one is very cheap and ten is very expensive, I would...
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 ?
Based on my experience, 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 ...
What is your primary use case for Digital.ai Release ?
My use case for Digital.ai Release is that I work for an insurance company on a very big project that develops multiple different pieces of software. We use Digital.ai Release to move our software ...
 

Also Known As

CodePipeline
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 CodePipeline vs. Digital.ai Release and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.