AWS CodeDeploy vs Digital.ai Agility comparison

Amazon Web Services (AWS) and Digital.ai are both solutions in the Release Automation category. Amazon Web Services (AWS) is ranked #4 with an average rating of 7.8, while Digital.ai is ranked #12 with an average rating of 7.0. Amazon Web Services (AWS) holds a 1.9% mindshare in RA, compared to Digital.ai’s 1.7% mindshare. Additionally, 82% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 75% of Digital.ai users who would recommend it.

AWS CodeDeploy

Read 15 AWS CodeDeploy reviews

771 Views
771 Comparison Views

82% willing to recommend

Digital.ai Agility

Read 6 Digital.ai Agility reviews

1,378 Views
372 Comparison Views

75% willing to recommend

AWS CodeDeploy

Digital.ai Agility

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

Digital.ai Agility and AWS CodeDeploy compete in software deployment and management. Digital.ai Agility attracts buyers with cost-effective solutions despite AWS CodeDeploy's stronger feature set.

Features: Digital.ai Agility provides advanced project management, seamless collaboration, and real-time reporting. It integrates with various tools to enhance workflow processes. AWS CodeDeploy supports automated deployment, flexibility, and scalability across diverse environments.

Room for Improvement: Digital.ai Agility could improve its deployment automation and elasticity. It might also expand integration capabilities. AWS CodeDeploy could simplify its setup process, reduce its learning curve, and improve configuration options for complex deployments.

Ease of Deployment and Customer Service: Digital.ai Agility offers straightforward deployment with comprehensive support for quick onboarding. AWS CodeDeploy integrates smoothly with AWS but requires more expertise due to complex functions. Its support is robust but may incur extra costs.

Pricing and ROI: Digital.ai Agility offers competitive pricing with low setup costs and high ROI. AWS CodeDeploy presents higher initial costs but offers long-term ROI for AWS-focused organizations through deployment efficiency.

To learn more, read our detailed AWS CodeDeploy vs. Digital.ai Agility Report (Updated: February 2026).

Buyer's Guide

AWS CodeDeploy vs. Digital.ai Agility

February 2026

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Helped 881,928 peers since 2012

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

5.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Digital.ai Agility

Ranking in Release Automation

12th

Average Rating

8.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Application Lifecycle Management (ALM) Suites (16th), Enterprise Agile Planning Tools (11th), Value Stream Management Software (5th)

Mindshare comparison

As of February 2026, in the Release Automation category, the mindshare of AWS CodeDeploy is 1.9%, down from 2.4% compared to the previous year. The mindshare of Digital.ai Agility is 1.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Market Share Distribution
Product	Market Share (%)
AWS CodeDeploy	1.9%
Digital.ai Agility	1.7%
Other	96.4%

Release Automation

Featured Reviews

Harsh Shrivastava

Senior Software Engineer at Thomson Reuters

Automated deployments have reduced downtime and now deliver faster, consistent releases

AWS CodeDeploy offers several valuable features, including deployment to fleets of EC2 servers, on-premises servers deployed to data center infrastructure, AWS Lambda for serverless function updates, and Amazon ECS for containerized applications. The feature I use most frequently is deployment to Amazon EC2 instances, where I deploy backend services to EC2 servers, enabling zero-downtime deployment. AWS CodeDeploy supports rolling updates, blue-green deployments, and canary deployments to minimize or eliminate downtime. Additional standout features include consistent deployments across environments, the ability to deploy to development, staging, and production environments, centralized control, integration with CI/CD pipelines, and automatic rollback. AWS CodeDeploy has positively impacted my organization by significantly reducing deployment times to achieve zero downtime during deployments. Generally, it takes very little time for backend services to be deployed to EC2 instances.

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PrashantM

Lead Consultant at Innovation Roots

Collaboration and setup efficiency stand out, though integration and local support need improvement

The solution is excellent for collaboration. From the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively. For Scrum teams, it is particularly good and easy to set up. With respect to sprints and getting metrics out, such as velocity and related measurements, the functionality is robust. The Scrum boards are particularly effective. Based on my colleague's exploration and setup, I observed how easily the team was able to use it. The integration with that tool was particularly helpful.

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Quotes from Members

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

Pros

"It's just like every other AWS resource I use. It gets the job done."

"The product is easy to use."

"CodeDeploy is quite easy to use within the AWS ecosystem."

"I appreciate the feature for automating the deployment of code to the server."

"The biggest feature of AWS CodeDeploy is its scalability."

"I can integrate it with other AWS services."

"CodeDeploy is very stable. I rate it a 10 for stability."

"One advantage we have with AWS CodeDeploy is its hassle-free accessibility through IAM roles and permissions, allowing us to give specific permissions while adhering to the least privileges rule of IAM."

More AWS CodeDeploy pros

"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."

"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."

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."

"It allows my clients to have one central tool to manage their agile projects."

"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."

"The solution is excellent for collaboration; from the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively."

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."

"The documentation could be more detailed, especially for new users."

"The support and those things are lacking compared to others."

"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."

"I faced some stability issues."

"The documentation could be more detailed, especially for new users."

More AWS CodeDeploy cons

"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."

"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."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

"It was not supporting some plugins. We wanted to migrate data that we were already using."

"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."

"Improve how to create and track releases. Currently, I have to create child projects."

Pricing and Cost Advice

"It is costly."

"The product's price is normal."

"Since we are using a dedicated AWS environment, the solution's pricing is fine."

"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."

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."

"Comparing the pricing to other products, I think this solution is in the middle."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Comms Service Provider

10%

University

Manufacturing Company

16%

Insurance Company

16%

Computer Software Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	5

No data available

Questions from the Community

What do you like most about AWS CodeDeploy?

Automation of Deployments

See all answers

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 ...

See all answers

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...

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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...

See all answers

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...

See all answers

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...

See all answers

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Compared 13% of the time

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Compared 12% of the time

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Compared 25% of the time

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Compared 12% of the time

Jira Align vs Digital.ai Agility

Compared 12% of the time

Rally Software vs Digital.ai Agility

Compared 8% of the time

OpenText Software Delivery Management vs Digital.ai Agility

Compared 6% of the time

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Product Reports

Buyer's Guide

AWS CodeDeploy

February 2026

Download AWS CodeDeploy product report

Buyer's Guide

Digital.ai Agility

February 2026

Download Digital.ai Agility product report

Also Known As

No data available

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum

Overview

AWS CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and instances running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate deployments, eliminating the need for error-prone manual operations, and the service scales with your infrastructure so you can easily deploy to one instance or thousands.

Amazon Web Services (AWS)

Enterprise business agility rests on agile planning that scales and has the flexibility needed to meet the needs of customers and the market. Digital.ai Agility enables organizations to scale up agile from the team level across the product portfolio, improve collaboration and efficiency, and deliver software that provides more value.

Digital.ai

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

Buyer's Guide

AWS CodeDeploy vs. Digital.ai Agility

February 2026

Free Report: AWS CodeDeploy vs. Digital.ai Agility

Find out what your peers are saying about AWS CodeDeploy vs. Digital.ai Agility and other solutions. Updated: February 2026.

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