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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
15th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Release Automation (10th), DevSecOps (9th)
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 June 2025, in the Build Automation category, the mindshare of Digital.ai Release is 0.9%, down from 0.9% compared to the previous year. The mindshare of Tekton is 12.0%, up from 11.0% 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.
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 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."
"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."
"The solution can apply one template across multiple applications."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The ability to scale is valuable."
"The most valuable features of Tekton include the reusability of tasks, the clean UI interface, and the binding of services and secrets."
"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."
"The platform's most valuable feature is its wireless capability, which makes installation easy and sets up the flow."
"Tekton is serverless and runs on OpenShift, and we leverage Tekton to take full advantage of the Kubernetes features such as running and scaling the solution in PaaS."
"The installation process is seamless, requiring fewer resources compared to Jenkins."
"Tekton is a cloud-native solution. It offers optimal resource consumption, allowing tasks to be run more efficiently and at a lower cost."
"When you run a pipeline, all the jobs are called. It is a very valuable feature that enhances job maintenance overall."
 

Cons

"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."
"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 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."
"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."
"Tekton should have more accessibility for some rare use cases so that we can have more references when applying some techniques to our pipeline."
"I'm a bit worried about scaling Tekton from the point of view of big CI/CD processes."
"The product's version update management process needs improvement."
"If you are a beginner, then accessing the flexibility part can be overwhelming. We think the learning curve of the tool is steep, especially for those who are not already familiar with Kubernetes."
"The product's UI could be improved, as there are occasional latency issues. The triggering part, especially the CRD installation needs enhancement."
"Initially, working with YAML configuration can be challenging using the solution."
"It would be beneficial to find case studies or more information on complex implementations."
"Tekton lacks sufficient documentation"
 

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

By visitors reading reviews
Educational Organization
34%
Financial Services Firm
27%
Computer Software Company
12%
Government
5%
Financial Services Firm
22%
Manufacturing Company
13%
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 ?
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?
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: June 2025.
857,162 professionals have used our research since 2012.