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."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."
"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 valuable feature is the language that it uses: Ruby."
"The most important thing is it can handle a 100,000 servers at the same time easily with no time constraints."
"Deployment has become quick and orchestration is now easy."
"Stable and scalable configuration management and automation tool. Installing it is easy. Its most valuable feature is its compliance, e.g. it's very good."
"The scalability of the product is quite nice."
"Manual deployments came to a halt completely. Server provisioning became lightning fast. Chef-docker enabled us to have fewer sets of source code for different purposes. Configuration management was a breeze and all the servers were as good as immutable servers."
"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."
"This product is an innovative market leader in the field of application deployment."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"The agent on the server sometimes acts finicky."
"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."
"Vertical scalability is still good but the horizontal, adding more technologies, platforms, tools, integrations, Chef should take a look into that."
"I would like them to add database specific items, configuration items, and migration tools. Not necessarily on the builder side or the actual setup of the system, but more of a migration package for your different database sets, such as MongoDB, your extenders, etc. I want to see how that would function with a transition out to AWS for Aurora services and any of the RDBMS packages."
"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."
"I would rate this solution a nine because our use case and whatever we need is there. Ten out of ten is perfect. We have to go to IOD and stuff so they should consider things like this to make it a ten."
"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."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"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 tool needs to improve on cloud-native GitOps."
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, Microsoft Configuration Manager and BigFix, 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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