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AWS CodeDeploy vs Digital.ai Agility 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 Agility
Ranking in Release Automation
18th
Average Rating
8.6
Reviews Sentiment
6.1
Number of Reviews
6
Ranking in other categories
Application Lifecycle Management (ALM) Suites (16th), Enterprise Agile Planning Tools (11th), Value Stream Management Software (9th)
 

Mindshare comparison

As of July 2025, in the Release Automation category, the mindshare of AWS CodeDeploy is 3.0%, up from 2.7% compared to the previous year. The mindshare of Digital.ai Agility is 1.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
Debbie Brey - PeerSpot reviewer
A scalable, full-package solution with a tech support team that bends over backwards to help
There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it. The feature I would like to see is already in their newer licensing structure, and that's the live integration between Agility, Jira and Azure DevOps. That's the piece that I think is really valuable.

Quotes from Members

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

Pros

"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 product's initial setup phase is easy."
"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."
"Customer service was very helpful."
"I can integrate it with other AWS services."
"It is very flexible."
"You can easily integrate AWS CodeDeploy with multiple services."
"The biggest feature of AWS CodeDeploy is its scalability."
"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."
"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."
"It allows my clients to have one central tool to manage their agile projects."
 

Cons

"The documentation could be more detailed, especially for new users."
"There will always be room for improvement, however, I cannot think of any specific improvements at the moment."
"We have faced some issues and bugs along the way when it comes to stability."
"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."
"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."
"AWS should provide its own templates in the console so that I don't need to go anywhere else to get the template for AWS CodeDeploy or AWS CodeBuild."
"It was not supporting some plugins. We wanted to migrate data that we were already using."
"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."
"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."
"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."
"Improve how to create and track releases. Currently, I have to create child projects."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
 

Pricing and Cost Advice

"It is costly."
"The product's price is normal."
"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."
"Comparing the pricing to other products, I think this solution is in the middle."
"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
13%
University
9%
Manufacturing Company
7%
Manufacturing Company
18%
Insurance Company
18%
Computer Software Company
12%
Financial Services Firm
11%
 

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 needs improvement with Digital.ai Agility?
It was not supporting some plugins. We wanted to migrate data that we were already using. The migration of data and getting it up and running from the legacy system took some time to get accustomed...
What is your primary use case for Digital.ai Agility?
We were explaining how to set up the project itself, which describes the main use cases for Digital.ai Agility. This includes how to set up the workflow and how to manage and build a Kanban. I want...
What advice do you have for others considering Digital.ai Agility?
Digital.ai Agility has a bigger reach because it has many good integration points. It can be a one-stop solution for different needs, eliminating the need to use multiple pieces of software. Howeve...
 

Also Known As

No data available
VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines
Find out what your peers are saying about AWS CodeDeploy vs. Digital.ai Agility and other solutions. Updated: July 2025.
862,499 professionals have used our research since 2012.