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Chef 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

Chef
Ranking in Build Automation
20th
Ranking in Release Automation
12th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
19
Ranking in other categories
Configuration Management (18th)
Digital.ai Release
Ranking in Build Automation
15th
Ranking in Release Automation
10th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
DevSecOps (9th)
 

Mindshare comparison

As of June 2025, in the Build Automation category, the mindshare of Chef is 0.5%, down from 0.7% compared to the previous year. The mindshare of Digital.ai Release is 0.9%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Build Automation
 

Featured Reviews

Aaron  P - PeerSpot reviewer
Easy configuration management, optimization abilities, and complete infrastructure and application automation
In terms of improvement, Chef could get better by being more widely available, adapting to different needs, and providing better documentation. There is also an issue with shared resources like cookbooks lacking context, which could lead to problems when multiple companies use them. Chef should aim for wider availability, better flexibility, clearer documentation, and improved management of shared resources to prevent conflicts. Many companies are now moving to Ansible, so I would recommend better documentation, easier customer use, and simpler integration. I have concerns about the complexity of migrating to different servers and would prefer a simpler process.
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

"It streamlined our deployments and system configurations across the board rather than have us use multiple configurations or tools, basically a one stop shop."
"You set it and forget it. You don't have to worry about the reliability or the deviations from any of the other configurations."
"We have had less production issues since using Chef to automate our provisioning."
"The most valuable feature is its easy configuration management, optimization abilities, complete infrastructure and application automation, and its superiority over other similar tools."
"Automation is everything. Having so many servers in production, many of our processes won't work nor scale. So, we look for tools to help us automate the process, and Chef is one of them."
"This solution has improved my organization in the way that deployment has become very quick and orchestration is easy. If we have thousands of servers we can easily deploy in a small amount of time. We can deploy the applications or any kind of announcements in much less time."
"The scalability of the product is quite nice."
"Chef recipes are easy to write and move across different servers and environments."
"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."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
 

Cons

"There appears to be no effort to fix the command line utility functionality, which is definitely broken, provides a false positive for a result when you perform the operation, and doesn't work."
"In the future, Chef could develop a docker container or docker images."
"Since we are heading to IoT, this product should consider anything related to this."
"The time that it takes in terms of integration. Cloud integration is comparatively easy, but when it comes to two-link based integrations - like trying to integrate it with any monitoring tools, or maybe some other ticketing tools - it takes longer. That is because most of the out-of-the-box integration of the APIs needs some revisiting."
"The solution could improve in managing role-based access. This would be helpful."
"They could provide more features, so the recipes could be developed in a simpler and faster way. There is still a lot of room for improvement, providing better functionalities when creating recipes."
"There is a slight barrier to entry if you are used to using Ansible, since it is Ruby-based."
"Vertical scalability is still good but the horizontal, adding more technologies, platforms, tools, integrations, Chef should take a look into that."
"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 solution is a little bit expensive."
"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."
 

Pricing and Cost Advice

"The price is always a problem. It is high. There is room for improvement. I do like purchasing on the AWS Marketplace, but I would like the ability to negotiate and have some flexibility in the pricing on it."
"We are using the free, open source version of the software, which we are happy with at this time."
"We are able to save in development time, deployment time, and it makes it easier to manage the environments."
"The price per node is a little weird. It doesn't scale along with your organization. If you're truly utilizing Chef to its fullest, then the number of nodes which are being utilized in any particular day might scale or change based on your Auto Scaling groups. How do you keep track of that or audit it? Then, how do you appropriately license it? It's difficult."
"Purchasing the solution from AWS Marketplace was a good experience. AWS's pricing is pretty in line with the product's regular pricing. Though instance-wise, AWS is not the cheapest in the market."
"Pricing for Chef is high."
"Chef is priced based on the number of nodes."
"I wasn't involved in the purchasing, but I am pretty sure that we are happy with the current pricing and licensing since it never comes up."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
15%
University
7%
Healthcare Company
6%
Educational Organization
34%
Financial Services Firm
27%
Computer Software Company
12%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Chef?
Chef is a great tool for an automation person who wants to do configuration management with infrastructure as a code.
What needs improvement with Chef?
Chef does not support the containerized things of Chef products. In the future, Chef could develop a docker container or docker images.
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 ...
 

Comparisons

 

Also Known As

No data available
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

Facebook, Standard Bank, GE Capital, Nordstrom, Optum, Barclays, IGN, General Motors, Scholastic, Riot Games, NCR, Gap
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Find out what your peers are saying about Chef vs. Digital.ai Release and other solutions. Updated: June 2025.
857,162 professionals have used our research since 2012.