We performed a comparison between Chef and Digital.ai Deploy based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."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 most valuable feature is its easy configuration management, optimization abilities, complete infrastructure and application automation, and its superiority over other similar tools."
"The most important thing is it can handle a 100,000 servers at the same time easily with no time constraints."
"The scalability of the product is quite nice."
"The most valuable feature is automation."
"Chef is a great tool for an automation person who wants to do configuration management with infrastructure as a code."
"Chef recipes are easy to write and move across different servers and environments."
"It has been very easy to tie it into our build and deploy automation for production release work, etc. All the Chef pieces more or less run themselves."
"This product is an innovative market leader in the field of application deployment."
"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"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."
"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."
"Support and pricing for Chef could be improved."
"Third-party innovations need improvement, and I would like to see more integration with other platforms."
"The AWS monitoring, AWS X-Ray, and some other features could be improved."
"Chef could get better by being more widely available, adapting to different needs, and providing better documentation."
"There is a slight barrier to entry if you are used to using Ansible, since it is Ruby-based."
"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 tool needs to improve on cloud-native GitOps."
"While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
Chef is ranked 12th in Release Automation with 18 reviews while Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews. Chef is rated 8.0, while Digital.ai Deploy is rated 7.4. The top reviewer of Chef writes "Useful for large infrastructure, reliable, but steep learning cureve". On the other hand, the top reviewer of Digital.ai Deploy writes "Besides for the flash GUI which is a pain, it includes all of the features we were looking for". Chef is most compared with Jenkins, AWS Systems Manager, Microsoft Azure DevOps, BigFix and Microsoft Configuration Manager, whereas Digital.ai Deploy is most compared with Microsoft Azure DevOps, Red Hat Ansible Automation Platform, GitLab and Digital.ai Release .
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We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
