Try our new research platform with insights from 80,000+ expert users

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
15th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (9th), DevSecOps (8th)
Tekton
Ranking in Build Automation
2nd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Build Automation category, the mindshare of Digital.ai Release is 1.0%, up from 0.9% compared to the previous year. The mindshare of Tekton is 11.5%, up from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

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.
Prasad Gupta - PeerSpot reviewer
Efficient CI/CD management with significant cost reduction and a user-friendly setup
One area for improvement is the number of CRDs created during installation. Tekton currently creates 10 to 11CRDs, which can be overwhelming. Instead, it would be better to have just one CRD that can handle all the information and create other necessary components automatically. Additionally, more integration capabilities for security, such as DAST, SAST, and IAST, should be directly built into Tekton to facilitate easier implementation of security features.

Quotes from Members

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

Pros

"The solution can apply one template across multiple applications."
"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 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."
"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."
"I find it beneficial to show data from Tekton to another GitHub or Bitbucket pipeline."
"The platform's most valuable feature is its cloud-native and Kubernetes-ready design."
"Tekton is a stable product."
"Tekton is highly customizable, with Kubernetes, we can customize on our own and create custom builders."
"I would say the customization ability that Tekton provides is good."
"The most valuable features of Tekton include the reusability of tasks, the clean UI interface, and the binding of services and secrets."
"One of the best things I appreciate is that Tekton runs on the Kubernetes platform. This is very useful when working on a project with other team members. For instance, suppose we have a very big project that requires building a large amount of source code or running many unit tests. During the build and unit test phases, Tekton on Kubernetes allows us to have a scalable machine to handle these tasks. This scalability is the most useful aspect for me."
"The product's best feature is its ease of implementation."
 

Cons

"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 solution is a little bit expensive."
"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."
"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 product's version update management process needs improvement."
"Initially, working with YAML configuration can be challenging using the solution."
"Configuring Tekton requires a deep understanding of Kubernetes, which can be difficult for developers."
"Tekton should have more accessibility for some rare use cases so that we can have more references when applying some techniques to our pipeline."
"The tool should improve in terms of output flexibility. It runs on a specific Kubernetes machine, and the persistent memory storage is on a single partition. Improving this aspect could make analyzing logs and toolchain outputs from external tools easier."
"It would be beneficial to find case studies or more information on complex implementations."
"One area where Tekton can improve is log management."
"The question of pipeline scalability remains unclear."
 

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
"It is entirely open source and free of charge."
"The product is free of cost."
"Tekton is an open-source tool."
"The product is free and open-source."
"The tool is open-source and free to use."
"The solution is open-source."
report
Use our free recommendation engine to learn which Build Automation solutions are best for your needs.
865,384 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
36%
Computer Software Company
18%
Government
8%
Healthcare Company
8%
Financial Services Firm
21%
Manufacturing Company
13%
Computer Software Company
10%
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 ?
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 ...
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?
I didn't get the intention of scalability. Scalability means based on the load, it will automatically gain resources and run. The question of pipeline scalability remains unclear. It's quite easy t...
 

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: July 2025.
865,384 professionals have used our research since 2012.