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Digital.ai Release vs Tekton comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 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

Digital.ai Release
Ranking in Build Automation
17th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Release Automation (12th), DevSecOps (12th)
Tekton
Ranking in Build Automation
2nd
Average Rating
7.6
Reviews Sentiment
7.2
Number of Reviews
36
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.8%, down from 1.0% compared to the previous year. The mindshare of Tekton is 12.0%, up from 10.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

Navanath Gajare - PeerSpot reviewer
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…
AjayKrishna - PeerSpot reviewer
If you're dealing with many applications and need a reliable, scalable, and efficient system, I'd recommend this solution
Tekton's most important feature is its cloud-native nature. Unlike Jenkins, which may not scale as efficiently, Tekton's CI pipeline can automatically scale up to handle increased workload demands without needing manual adjustments. Another important aspect is the level of customization offered by Tekton. Each task in the CI pipeline can be customized independently, allowing developers to write code in various languages like shell scripting, Java, or Python and incorporate them into the pipeline as needed. This level of abstraction and customization greatly benefits developers in creating efficient CI pipelines. Also, it can be challenging to understand the logs and troubleshoot issues without clear guidance. It's not always easy to reach technical support and get immediate answers. In my opinion, improvement in this area would be beneficial.

Quotes from Members

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

Pros

"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."
"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."
"I like the branching and visualization tools for the pipeline."
"When you run a pipeline, all the jobs are called. It is a very valuable feature that enhances job maintenance overall."
"Its seamless integration with Kubernetes, being built on top of it and utilizing Custom Resource Definitions, ensures a smooth experience within Kubernetes environments exclusively."
"Tekton is a cloud-native solution. It offers optimal resource consumption, allowing tasks to be run more efficiently and at a lower cost."
"Tekton is a stable product."
"The platform's most valuable feature is its cloud-native and Kubernetes-ready design."
"We just have some configuration files, and it will handle the deployments smoother and faster compared to CI/CD 2.0."
"It enables enterprises to build a flexible framework atop Tekton, making it easier to define workflows with standard inputs and outputs."
 

Cons

"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."
"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 product's documentation is an area of concern, making it an area where improvements are required."
"Some of the tool's cons include its minimalistic dashboard, which lacks detailed information and control compared to other tools like Jenkins or GitLab. Additionally, it's primarily used by Japanese companies."
"Tekton should include many features to integrate event-driven pipelines."
"The stability issues can be there."
"Improvement is needed in the documentation and the overall integration process."
"The product's version update management process needs improvement."
"The product's scalability can be challenging when multiple users access it simultaneously."
"When we started with Tekton around 2021 or early 2022, the community support was somewhat limited, which posed challenges when dealing with issues or debugging. We had to rely on Red Hat OpenShift support to overcome these challenges. However, I believe that these issues will naturally improve over timeas the developer community grows stronger. From a technical perspective, I haven't had the opportunity to deeply evaluate the product end-to-end, especially in the past year or so, when I've been less involved with it."
 

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."
"Tekton is an open-source tool."
"The solution is open-source."
"The tool is open-source and free to use."
"The product is free and open-source."
"It is entirely open source and free of charge."
"The product is free of cost."
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Top Industries

By visitors reading reviews
Educational Organization
45%
Financial Services Firm
24%
Computer Software Company
10%
Healthcare Company
5%
Financial Services Firm
24%
Manufacturing Company
12%
Computer Software Company
12%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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 ?
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...
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.
How does Tekton compare with Jenkins?
When you are evaluating tools for automating your own GitOps-based CI/CD workflow, it is important to keep your requirements and use cases in mind. Tekton deployment is complex and it is not very e...
What do you like most about Tekton?
Its seamless integration with Kubernetes, being built on top of it and utilizing Custom Resource Definitions, ensures a smooth experience within Kubernetes environments exclusively.
What needs improvement with Tekton?
Regarding areas for improvement in Tekton, I have not encountered significant issues. It works well for our use case. However, incorporating AI could be a potential enhancement in the future.
 

Comparisons

 

Also Known As

XL Release, XebiaLabs XL Release
No data available
 

Overview

 

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
The Home Depot, PayPal, Target, HSBC, McKesson, Oncology Venture
Find out what your peers are saying about Digital.ai Release vs. Tekton and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.