Try our new research platform with insights from 80,000+ expert users

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 (9th), DevSecOps (8th)
 

Mindshare comparison

As of August 2025, in the Build Automation category, the mindshare of AWS CodePipeline is 5.0%, down from 8.0% compared to the previous year. The mindshare of Digital.ai Release is 1.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

Istiyak Ahmed - PeerSpot reviewer
Streamlined deployment through excellent integration with a straightforward setup
Our primary use case for CodePipeline involves deploying the different services, such as hosting a website on ECS or EC2 and deploying source code on container services or EC2 instances. We configure the source code with remote repositories like GitHub or Bitbucket, build the code, and store images…
Jeanne-Mari Chandran - PeerSpot reviewer
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

"AWS CodePipeline has valuable integration features."
"The solution's technical support responds whenever you have an issue, especially whenever you need something sorted out from their side."
"In AWS, the Cloud DevOps is a managed service from CodeCommit and this has removed the need for a lot of manual steps."
"The product is cost-effective and integrates well with the AWS environment."
"The integration with other applications is fabulous."
"It helps develop CI/CD implementations with centralized management of code building, deployment, and version control."
"The best thing about AWS CodePipeline is that we don't have to manage agents."
"Another big advantage is observability."
"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."
"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."
 

Cons

"The documentation for AWS CodePipeline is lacking and makes it difficult to find information due to its complexity. It would be helpful to have examples in the documentation for different project types like Laravel or Django."
"The migration process from one source code to another needs improvement."
"The support team’s response time must be improved."
"AWS CodePipeline works effectively, and I haven't identified any specific areas needing improvement as it has been quite satisfying in terms of deployment needs."
"There could be a possibility of deploying tag-based conditions for different environments using the same code base."
"I would appreciate if we don't have to install any agents, even for EC2, to deploy using CodeDeploy into EC2 servers. It would help if AWS allows application deployment without requiring the Fortify agent installation."
"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."
"In the next release, I would like to see fewer timeout errors."
"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."
"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."
"The solution is a little bit expensive."
"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."
 

Pricing and Cost Advice

"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."
"AWS offers free business or enterprise support services."
"Compared to other cloud services, AWS CodePipeline falls a bit more on the pricey side. I see that the price of the product has been increasing for the past few years."
"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 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 price of the product depends on how many times you run it. The tool offers a pay-as-you-go model."
"The pricing is manageable."
"I would rate the product's pricing a five out of ten."
"The solution's license includes all features."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
report
Use our free recommendation engine to learn which Build Automation solutions are best for your needs.
865,384 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Government
8%
Manufacturing Company
6%
Financial Services Firm
36%
Computer Software Company
18%
Government
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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: July 2025.
865,384 professionals have used our research since 2012.