

Chef and Digital.ai Deploy are competing products in infrastructure automation and application deployment. Chef has the upper hand in pricing and support flexibility, whereas Digital.ai Deploy is favored for its extensive feature set.
Features: Chef's strengths include automating infrastructure tasks, scalability, and integration with various platforms. Digital.ai Deploy is notable for its sophisticated deployment tools, integration capabilities with multiple DevOps frameworks, and advanced orchestration.
Room for Improvement: Chef could enhance its deployment capabilities, improve rollback efficiency, and bolster third-party integrations further. Digital.ai Deploy may benefit from clearer error messages, improved UI responsiveness, and expanded out-of-the-box plugin options.
Ease of Deployment and Customer Service: Chef offers a streamlined setup process with robust customer support. Digital.ai Deploy emphasizes deployment ease with intuitive processes and a strong service framework that efficiently manages complex deployments.
Pricing and ROI: Chef is positioned as a cost-effective solution with a flexible pricing structure and moderate setup costs. Digital.ai Deploy, with its higher setup cost, offers long-term ROI with comprehensive deployment capabilities and integration efficiency.
The return has been far more hours saved than spent.
Chef has provided a return on investment, particularly in needing fewer employees, as the tool significantly reduces the amount of human work required for many tasks.
We have seen significant improvement in the time and the way we make changes to the infrastructure.
We usually work with the Chef teams and community support, who are always willing to assist.
We leverage both to achieve the best option possible for scaling.
Chef's scalability handles a large number of nodes easily, allowing us to manage hundreds of servers consistently using the same set of cookbooks.
Chef's scalability is evident as the public sector organization I work at serves a population of 5 million, and we have had no problems with scaling.
It is a good tool to work with, offering a strong developer experience and community support.
Chef is stable.
In my experience, Chef is quite stable most of the time.
On support, I think there should be more focus on how we can achieve AI automations in answering questions for beginners and addressing deep concerns without general manual management.
Self-healing infrastructure continuously verifies that the system matches the desired state and can auto-correct configuration changes during the next run.
To improve Chef, making an interface with another language such as Python or Java that is well understood, as capable as Ruby, and even more widely adopted would demystify it a bit.
Licensing looks reasonable compared to the manual work of managing whole data centers with even 10,000 servers.
My experience with pricing, setup cost, and licensing is that we sidestepped it by using Cinc because none of the functionality that is exclusive to the paid version was actually in use in the organization.
Security is a key aspect that Chef can automate, monitor new features that are available, and even do patches without you getting involved.
Chef can manage hundreds or thousands of servers effortlessly, allowing for easy rollout of a single cookbook change to all machines.
When you have infrastructure as code and you already have everything apart from the environment-specific config, which you can specify in variables, then it is not only more repeatable and reliable, it is faster.
| Product | Market Share (%) |
|---|---|
| Chef | 1.5% |
| Digital.ai Deploy | 1.7% |
| Other | 96.8% |


| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 7 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 2 |
Chef, is the leader in DevOps, driving collaboration through code to automate infrastructure, security, compliance and applications. Chef provides a single path to production making it faster and safer to add value to applications and meet the demands of the customer. Deployed broadly in production by the Global 5000 and used by more than half of the Fortune 500, Chef develops 100 percent of its software as open source under the Apache 2.0 license with no restrictions on its use. Chef Enterprise Automation Stack™, a commercial distribution, is developed solely from that open source code and unifies security, compliance, infrastructure and application automation with observability. Chef provides an unequaled developer experience for the Coded Enterprise by enabling users to express infrastructure, security policies and the application lifecycle as code, modernizing development, packaging and delivery of any application to any platform. For more information, visit http://chef.io and follow @chef.
Automate and standardize complex, enterprise-scale application deployments to any environment—from mainframes and middleware to containers and the cloud. Speed up deployments with increased reliability. Enable self-service deployment while maintaining governance and control.
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