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

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
7.0
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Digital.ai Release
Ranking in Release Automation
10th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (15th), DevSecOps (9th)
 

Mindshare comparison

As of June 2025, in the Release Automation category, the mindshare of AWS CodeDeploy is 3.2%, up from 2.9% compared to the previous year. The mindshare of Digital.ai Release is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

MuhammadBilal7 - PeerSpot reviewer
Effective communication with seamless integration improves deployment but tool diversity raises usability questions
There are many tools in the market that cover different aspects, such as the GitOps methodology of deployment. I have not used CodeDeploy with EKS, although I have used it with ECS. I am not sure if CodeDeploy can be used with EKS, and I see this as a deficiency for end users. Easier implementation would be beneficial.
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

"CodeDeploy is very stable. I rate it a 10 for stability."
"I appreciate the feature for automating the deployment of code to the server."
"It is very flexible."
"The product is easy to use."
"AWS CodeDeploy operates on an on-demand basis. This means that you only pay for the exact duration of the deployment process. Whether it takes one minute, two minutes, or even longer, you're only charged for the time it takes to complete the deployment. You're not locked into paying for dedicated servers."
"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."
"You can easily integrate AWS CodeDeploy with multiple services."
"I found the default settings of AWS CodeDeploy to be highly beneficial for my deployment workflows. For instance, when deploying a Node.js application, I manually installed the necessary components on my AWS instance, such as the web server required by developers. Then, I created deployment scripts for starting and stopping instances and performing the deployment itself. These scripts were stored alongside my code in GitHub, ensuring they executed seamlessly with the CI/CD pipeline. Since the project wasn't overly complex, I opted for the default settings, which proved to be efficient and straightforward for deployment."
"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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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

"There will always be room for improvement, however, I cannot think of any specific improvements at the moment."
"AWS CodeDeploy's lack of ability to use independently without CodePipeline or CodeBuild makes it unstable."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"Deployment and stability should be improved."
"An improvement for the end users would be easier implementation, especially regarding local testing tools for deployment."
"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."
"The documentation could be more detailed, especially for new users."
"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 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."
"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

"Since we are using a dedicated AWS environment, the solution's pricing is fine."
"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."
"The product is free with EC2."
"The product's price is normal."
"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 Release Automation solutions are best for your needs.
859,129 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
13%
University
11%
Manufacturing Company
7%
Financial Services Firm
29%
Educational Organization
29%
Computer Software Company
14%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
I remember it was a Node.js API that I deployed to some EC2 instances. I was trying to use PM2, a process manager, to deploy the application to the end users.
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: June 2025.
859,129 professionals have used our research since 2012.