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AWS CodeDeploy vs Digital.ai Release comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 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 CodeDeploy
Ranking in Release Automation
4th
Average Rating
7.8
Reviews Sentiment
5.6
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Release Automation
8th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (14th), DevSecOps (8th)
 

Mindshare comparison

As of October 2025, in the Release Automation category, the mindshare of AWS CodeDeploy is 2.5%, up from 2.4% compared to the previous year. The mindshare of Digital.ai Release is 1.1%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Market Share Distribution
ProductMarket Share (%)
AWS CodeDeploy2.5%
Digital.ai Release1.1%
Other96.4%
Release Automation
 

Featured Reviews

Mahadev Metre - PeerSpot reviewer
YAML configuration and cloud integration simplify tasks and enhance AWS resource flexibility
The features and capabilities of AWS CodeDeploy that I have found most valuable are that it is very user-friendly, and the codebase we can use there, specifically the tech stack, is YAML configuration. YAML is quite user-friendly itself, so if you just understand the basic concepts of YAML, then you're good to go. However, people face some problems with the YAML tech stack, as it is very strict with indentation and the placement of attributes. Overall, it's very strict with indentation and how it interprets our input. For example, in a stage where an environment is defined, there should be two spaces followed by an environment key and value. Knowing YAML is essential before working on AWS CodeDeploy, as the YAML file controls the service. AWS CodeDeploy's integration with other AWS services contributes significantly to scaling, monitoring, and security in my deployment processes by requiring IAM permissions. This is the only gateway for it to obtain permission to perform any tasks or triggers. One advantage we have with AWS CodeDeploy is its hassle-free accessibility through IAM roles and permissions. Being an AWS service, it operates on ARNs, which are identifiers. When we refer to these codes in IAM policies, we can give specific permissions while adhering to the least privileges rule of IAM. This makes it quite good and flexible with AWS resources, unlike third-party options.
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

"The product's initial setup phase is easy."
"CodeDeploy is very stable. I rate it a 10 for stability."
"I can integrate it with other AWS services."
"CodeDeploy is quite easy to use within the AWS ecosystem."
"The product is easy to use."
"The most valuable features of AWS CodeDeploy are its integration with other AWS services to deploy applications."
"It is very flexible."
"I would suggest using AWS CodeDeploy if your applications are on AWS cloud platform, as it integrates well with multiple AWS services and automates scalability and infrastructure management."
"The solution can apply one template across multiple applications."
"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 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."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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."
 

Cons

"The support and those things are lacking compared to others."
"Deployment and stability should be improved."
"An improvement for the end users would be easier implementation, especially regarding local testing tools for deployment."
"We have faced some issues and bugs along the way when it comes to stability."
"I faced some stability issues."
"AWS CodeDeploy's lack of ability to use independently without CodePipeline or CodeBuild makes it unstable."
"The documentation could be more detailed, especially for new users."
"An improvement for the end users would be easier implementation, especially regarding local testing tools for deployment."
"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."
"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."
"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."
"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."
 

Pricing and Cost Advice

"The product's price is normal."
"It is costly."
"AWS CodeDeploy has proven to be a cost-effective solution for us, especially considering the benefits we gain from using it. In terms of pricing, AWS is quite affordable, providing excellent value for the features and services it offers."
"Since we are using a dedicated AWS environment, the solution's pricing is fine."
"The product is free with EC2."
"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
Computer Software Company
17%
Financial Services Firm
15%
University
8%
Manufacturing Company
8%
Financial Services Firm
38%
Computer Software Company
16%
Healthcare Company
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise4
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for AWS CodeDeploy?
Evaluating cost, it is important to note that the services provided by CodeDeploy can be expensive to purchase from other cloud platforms. However, depending on the services, it might be worth the ...
What is your primary use case for AWS CodeDeploy?
My usual use cases for AWS CodeDeploy involve utilizing it as an AWS service, which is a subservice of CodePipeline. AWS CodePipeline is a whole package of services which consists of AWS CodeDeploy...
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

No data available
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 CodeDeploy vs. Digital.ai Release and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.