AWS CodePipeline vs Digital.ai Release comparison

Amazon Web Services (AWS) and Digital.ai are both solutions in the Build Automation category. Amazon Web Services (AWS) is ranked #4 with an average rating of 8.4, while Digital.ai is ranked #17 with an average rating of 7.0. Amazon Web Services (AWS) holds a 5.6% mindshare in BA, compared to Digital.ai’s 0.8% mindshare. Additionally, 95% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Digital.ai users who would recommend it.

AWS CodePipeline

Read 23 AWS CodePipeline reviews

2,709 Views
2,128 Comparison Views

95% willing to recommend

Digital.ai Release

Read 4 Digital.ai Release reviews

494 Views
258 Comparison Views

100% willing to recommend

AWS CodePipeline

Digital.ai Release

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Executive SummaryUpdated on Mar 5, 2025

Digital.ai Release and AWS CodePipeline are contenders in software release automation. AWS CodePipeline often gains favor due to its comprehensive integrations with AWS services, in contrast to Digital.ai Release's pricing satisfaction and support.

Features: Digital.ai Release integrates with various deployment systems and tools like Jira and Bamboo. Its orchestration capabilities streamline release management. AWS CodePipeline offers extensive integration with AWS services such as CodeDeploy and CodeBuild and supports seamless environment transitions and security management. It also allows cross-account deployments and can be plugged into several CI/CD platforms.

Room for Improvement: Digital.ai Release could benefit from enhancing its cloud-native functionalities and scaling capabilities. It may improve its user interface for more intuitiveness. The integration with non-Atlassian tools could be expanded. AWS CodePipeline might enhance its personalized support and simplify complex deployment scenarios. There is room to enhance non-AWS integration capabilities. Its pricing structure could be made simpler to understand for small businesses.

Ease of Deployment and Customer Service: Digital.ai Release is tailored for large enterprises, offering detailed support and customization options for deployment. AWS CodePipeline, leveraging AWS's infrastructure, provides straightforward deployment processes within the AWS ecosystem but lacks the depth of personalized service.

Pricing and ROI: Digital.ai Release requires higher initial investments but delivers ROI through enterprise licensing and strong support. AWS CodePipeline offers a flexible, usage-based pricing approach, adaptable for scaling with business growth. Despite potential long-term costs, its integration-rich environment often justifies investment, especially for those focusing on AWS infrastructure.

To learn more, read our detailed AWS CodePipeline vs. Digital.ai Release Report (Updated: April 2025).

Buyer's Guide

AWS CodePipeline vs. Digital.ai Release

April 2025

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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

4th

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Digital.ai Release

Ranking in Build Automation

17th

Average Rating

8.2

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Release Automation (12th), DevSecOps (12th)

Mindshare comparison

As of May 2025, in the Build Automation category, the mindshare of AWS CodePipeline is 5.6%, down from 8.4% compared to the previous year. The mindshare of Digital.ai Release is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation

Featured Reviews

Udhay Prakash Pethakamsetty

Data Engineer Manager at Capgemini

A fully managed service with excellent integrations and a flexible architecture

Compared to any other tools, AWS products provide better integrations. We have tools for all our needs. The integrations are good. The product is a fully managed service. We specify the various stages in the CI/CD process. We can do it without any external tools. Going through everything is usually an overhead for developers. It is like a configuration. We need to configure it only once. The integration with other AWS services has helped us. Our life as a developer is easy. We need not focus on the integration manually. If we work with third-party tools, we must consider connectivity, role management, security, authentication, and authorization. In AWS CodePipeline, if we have IAM roles configured and KMS for the credentials, we need not worry about anything else. Everything can be done within the tool. The integrations are the best part. We can track everything. The connectivity and scalability are good. The architecture is also flexible enough. We can add multiple things.

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Navanath Gajare

DevOps Tech Lead at a financial services firm with 5,001-10,000 employees

Effectively automates deployments and applies one template across applications

Our company uses the solution to handle deployments for new releases. Whenever there is a new release, the solution creates a new provision template for deployment. We also orchestrate and manage all users. We integrate with other tools like GitHub, Jenkins, or Digital.ai Deploy to manage…

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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 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."

"AWS CodePipeline's most valuable feature is its seamless integration with other AWS services, making it easier to orchestrate deployment processes."

"The integration with other applications is fabulous."

"AWS CodePipeline offers multiple integrations and it has its own set of features in the area of code scanning and dynamic code testing."

"I prefer using CodePipeline and CodeBuild in AWS due to their integration with AWS services, like directly deploying to ECS using Cloud Deploy."

"The management of CodeBuild and CodeDeploy on a three-point trigger basis is an important feature."

"The integrations are good."

More AWS CodePipeline pros

"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."

"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 solution can apply one template across multiple applications."

Cons

"The migration process from one source code to another needs improvement."

"The tool does not provide automated features for evidence collection."

"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."

"AWS CodePipeline is quite a simple tool mostly for management and creating automation."

"If you're talking about multi-cloud, you can't use it."

"Improved enhancements and features could make it more intuitive."

"One downside in AWS is that when you attempt to push a change in, it misses that part, or it could be because some variables are not set correctly."

"From my perspective, some in-built capabilities could be enhanced."

More AWS CodePipeline cons

"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."

"The solution is a little bit expensive."

"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."

Pricing and Cost Advice

"I would rate the product's pricing a five out of ten."

"The product is quite expensive compared to other solutions."

"AWS offers free business or enterprise support services."

"The price of the product depends on how many times you run it. The tool offers a pay-as-you-go model."

"It is a straightforward approach where you pay for the resources you consume as they offer a subscription-based licensing model."

"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."

"The pricing is manageable."

"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."

More AWS CodePipeline pricing and cost advice

"The solution's license includes all features."

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Government

Manufacturing Company

Educational Organization

45%

Financial Services Firm

24%

Computer Software Company

10%

Healthcare Company

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...

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What do you like most about AWS CodePipeline?

Code deployment is the best feature.

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What is your experience regarding pricing and costs for AWS CodePipeline?

AWS CodePipeline and its associated services do not incur significant additional charges. The cost primarily comes from deploying other AWS resources like EC2 and S3 alongside the pipeline.

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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.

See all answers

What needs improvement with Digital.ai Release ?

There are many areas of improvement. Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, inclu...

See all answers

What is your primary use case for Digital.ai Release ?

It helps with creating documentation, release processes, deploying to lower environments, scheduling meetings, and sending emails to stakeholders. The goal is to reduce manual work and save time.

See all answers

Comparisons

GitLab vs AWS CodePipeline

Compared 63% of the time

Jenkins vs AWS CodePipeline

Compared 11% of the time

GitHub Actions vs AWS CodePipeline

Compared 9% of the time

AWS CodeStar vs AWS CodePipeline

Compared 7% of the time

Tekton vs AWS CodePipeline

Compared 4% of the time

More AWS CodePipeline Competitors

Jenkins vs Digital.ai Release

Compared 59% of the time

GitLab vs Digital.ai Release

Compared 41% of the time

More Digital.ai Release Competitors

Product Reports

Buyer's Guide

AWS CodePipeline

April 2025

Download AWS CodePipeline product report

Buyer's Guide

Digital.ai Release

April 2025

Download Digital.ai Release product report

Also Known As

CodePipeline

XL Release, XebiaLabs XL Release

Overview

AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of your release process every time there is a code change, based on the release model you define. This enables you to rapidly and reliably deliver features and updates. You can easily integrate AWS CodePipeline with third-party services such as GitHub or with your own custom plugin. With AWS CodePipeline, you only pay for what you use. There are no upfront fees or long-term commitments.

Amazon Web Services (AWS)

Automate, orchestrate, and gain visibility into your release pipelines at scale using Digital.ai Release, a release management tool that is designed for enterprises. Control and track releases, standardize processes, and bake compliance and security into your software release pipelines.

Digital.ai

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

Buyer's Guide

AWS CodePipeline vs. Digital.ai Release

April 2025

Free Report: AWS CodePipeline vs. Digital.ai Release

Find out what your peers are saying about AWS CodePipeline vs. Digital.ai Release and other solutions. Updated: April 2025.

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