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AWS Amplify 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 Amplify
Ranking in Release Automation
5th
Average Rating
7.4
Reviews Sentiment
7.4
Number of Reviews
7
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 Amplify is 2.6%, down from 2.7% 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

Krishna Vishwakarma - PeerSpot reviewer
Has good documentation but takes time for a beginner to learn
The only tricky part I experienced was during the initial installation. I followed the documentation, but it wasn't working for some reason. I had to modify some local files in the CLI-generated folder to get it to work. I had to dig deep to find the issue, and it wasn't mentioned in the docs. So, some issues could be better highlighted in the AWS CLI documentation, which would help developers integrate other services more easily. AWS needs to improve its support.
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 only tricky part I experienced was during the initial installation. I followed the documentation, but it wasn't working for some reason. I had to modify some local files in the CLI-generated folder to get it to work. I had to dig deep to find the issue, and it wasn't mentioned in the docs. So, some issues could be better highlighted in the AWS CLI documentation, which would help developers integrate other services more easily. AWS needs to improve its support."
"The most valuable feature is user management, which includes authentication and authorization."
"I didn't host my application but have used their backend as a service. It was a complete package with authentication, AWS AppSync, DynamoDB, and GraphQL. AWS Amplify is great if you don't know backend development and don't want to struggle with other backend services like MongoDB. You don't have to worry about what backend language or database to use. If you're confused, enroll with AWS Amplify. I also recommend Google Firebase for similar purposes."
"The most valuable feature of AWS Amplify is authentication."
"The link with Figma is very nice. You can create your design in Figma, and then you can import it into AWS Amplify and use it. You can link it to your data source and data bindings."
"One of the things I like best about AWS Amplify is its ease of use and strong integration with other AWS services, which enhances efficiency."
"Typically, whenever we make changes and need to switch environments (e.g., dev to production), it's easy for our developers to maintain the state of each environment and make customizations as needed. They don't necessarily need to involve the cloud team for basic management."
"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."
"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."
 

Cons

"I like AWS Amplify's documentation. It's comprehensive and includes many examples, so you don't need to ask for help much - you can refer to the docs. It's easy to use. I also appreciate the cost structure. You only pay for what you use. For example, if you use 100 GB, you're charged for that, but if you don't use it, you pay the maintenance cost."
"Its capability to handle big projects needs to be improved. If you generate a user interface in Figma and import everything where all components are in one directory, currently, it is complicated. It isn't able to cope with that. For small projects, it is not an issue, but if you have big projects and you want to use AWS Amplify, then it gets more difficult. That is the most important point for me. It should be improved to cope better with bigger projects."
"AWS can implement multiple web applications, and cross-platform applications, like iOS."
"AWS Amplify could improve in the deployment. It would be beneficial to have more methods, such as automation."
"AWS Amplify can be improved in some areas, particularly in providing more robust documentation and easier customization options."
"I don't think there are major issues, but there is room for improvement in the UI/UX of AWS Amplify. The UI still needs to be more polished and user-friendly. It's currently a bit like drag-and-drop initially, but there should be more options to customize the UI based on our needs."
"The documentation needs improvement, as it is not user-friendly and can be challenging for novices."
"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."
"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 solution is a little bit expensive."
"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

"When you're just starting, it is free. You have to pay only when you reach a certain amount of usage. I'm still at the early stage. So, I don't have to pay a lot. At the moment, it is not too expensive for me. It is worth the money."
"The pricing depends on what your use case is and whether you're an existing AWS customer. It's a pay-as-you-go model, so not expensive."
"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
Computer Software Company
16%
Financial Services Firm
10%
Construction Company
9%
Healthcare 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
No data available
 

Questions from the Community

How to estimate whether using the AWS services is worthwhile for saving time and money for manufacturing at a retailer company?
Estimating the cost-effectiveness of using AWS services for manufacturing at a retailer company involves a comprehensive analysis. To make an informed decision, you should consider factors like the...
What do you like most about AWS Amplify?
Typically, whenever we make changes and need to switch environments (e.g., dev to production), it's easy for our developers to maintain the state of each environment and make customizations as need...
What is your experience regarding pricing and costs for AWS Amplify?
I find the pricing of AWS Amplify reasonable, considering the value it provides, although opinions may vary based on usage.
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 Amplify vs. Digital.ai Release and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.