Chef vs Digital.ai Agility comparison

Progress Software and Digital.ai are both solutions in the Release Automation category. Progress Software is ranked #5 with an average rating of 7.6, while Digital.ai is ranked #13 with an average rating of 7.5. Progress Software holds a 2.7% mindshare in RA, compared to Digital.ai’s 2.1% mindshare. Additionally, 93% of Progress Software users are willing to recommend the solution, compared to 77% of Digital.ai users who would recommend it.

Chef

Read 26 Chef reviews

5,067 Views
1,216 Comparison Views

93% willing to recommend

Digital.ai Agility

Read 7 Digital.ai Agility reviews

3,066 Views
920 Comparison Views

77% willing to recommend

Chef

Digital.ai Agility

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

Chef and Digital.ai Agility compete in the software development and automation category, with Chef often having an edge in automation capabilities, while Digital.ai Agility excels in comprehensive project management features.

Features: Chef offers robust automation capabilities, a strong focus on infrastructure as code, and seamless integration with third-party tools using Ohai inventory. Digital.ai Agility provides superior project management capabilities, including team room features, "what if" forecasting, and multiple planning levels adaptable for enterprise needs.

Room for Improvement: Chef could improve in handling rollbacks and enhancing its user interface experience as it heavily relies on command line interactions. Digital.ai Agility could benefit from reducing its initial learning curve and optimizing the cost of its comprehensive package to be more competitive.

Ease of Deployment and Customer Service: Chef enables efficient deployment with an active support community that aids users in resolving issues. Digital.ai Agility offers a structured deployment model that pairs well with strong customer service, ensuring seamless project execution with enterprise-level features.

Pricing and ROI: Chef provides a strategic costing model designed for quick returns on automation-focused projects, making it attractive for budget-conscious teams. Digital.ai Agility, with higher initial setup costs, justifies its investment with extensive features and integration possibilities that lead to promising long-term returns.

To learn more, read our detailed Chef vs. Digital.ai Agility Report (Updated: August 2026).

Buyer's Guide

Chef vs. Digital.ai Agility

August 2026

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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 Release Automation

5th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Build Automation (14th), Configuration Management (12th)

Digital.ai Agility

Ranking in Release Automation

13th

Average Rating

8.6

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Application Lifecycle Management (ALM) Suites (15th), Enterprise Agile Planning Tools (8th), Value Stream Management Software (5th)

Mindshare comparison

As of August 2026, in the Release Automation category, the mindshare of Chef is 2.7%, up from 1.2% compared to the previous year. The mindshare of Digital.ai Agility is 2.1%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Mindshare Distribution
Product	Mindshare (%)
Chef	2.7%
Digital.ai Agility	2.1%
Other	95.2%

Release Automation

Featured Reviews

G Srivastava

Senior Cloud Engineer at a tech services company with 201-500 employees

Agent setup and complexity have limited automation benefits but have reduced manual patching work

There are other automation tools, configuration management tools in the market, which offer many good functionalities compared to Chef. For Chef, we need to install those agents, the Chef client, on all those nodes. That is another heinous task to perform on those nodes. Compared with other tools, they do not require any agent; they simply push configurations to all the clients. Chef needs to improve on this agent installation on all those nodes. I would say that the agent configuration is required, and we need to manage the workstation, the Chef server, and then the Chef client. These two or three things are very difficult. It is a time-taking task compared with other configuration management tools. They need to compete with other tools, such as Ansible or Terraform. They should work on their agent part. If they can remove the agent installation on the nodes and combine both the Chef server and workstation into one server, that will provide a significant benefit in cost for the clients. They should aim for an agentless architecture rather than an agent-based architecture, which will help other customers. That is a very difficult thing because I have stopped using Chef. If you have very good developers who are skilled in Ruby language and can write codes in the Chef recipe, then those developers should start using Chef.

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Abhishek Kumar Singh

Workload Automation at nab

Automating dashboards has saved time and now supports prompt-driven task workflows

My main use case for Digital.ai Agility is learning to create a dashboard and prompt engineering. I am trying to automate my tasks by automating the dashboard The best feature Digital.ai Agility offers me so far is that I write a prompt and receive the result for that. I see the time saving with…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Using Chef for automating infrastructure and applications in my organization has helped us reduce manual tasks by more than forty percent, thereby saving significant revenue for the client."

"I wanted to monitor a hybrid cloud environment, one using AWS and Azure. If I have to provision/orchestrate between multiple cloud platforms, I can use Chef as a one-stop solution, to broker between those cloud platforms and orchestrate around them, rather than going directly into each of the cloud-vendors' consoles."

"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 most valuable feature is its easy configuration management, optimization abilities, complete infrastructure and application automation, and its superiority over other similar tools."

"Chef has given us an easy time doing all that automation, security, and monitoring by automating the processes across all those servers so that we don't do manual work, going one place at a time to install updates."

"The scalability of the product is quite nice."

"The most valuable feature is the language that it uses: Ruby."

"The scalability of the product is quite nice; we have deployed it across six to seven organizations."

More Chef pros

"The most valuable thing is kind of the whole package together."

"The solution is excellent for collaboration; from the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively."

"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."

"VersionOne delivers a total ALM solution for whether you are operating a single team, like Scrum and Kanban for IT operations, or implementing an agile enterprise approach, like SAFe."

"You can use Digital.ai Agility for automating your tasks and creating your dashboard."

"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."

"It allows my clients to have one central tool to manage their agile projects."

"Digital.ai Agility helped our organization define the Enterprise Value Streams, and in the tool you can derive all user stories, features, and epics from the top-level portfolio items and value streams so any work that is done must contribute to the value streams, otherwise it should be questioned why that effort is being executed."

More Digital.ai Agility pros

Cons

"The agent on the server sometimes acts finicky."

"Chef has a very steep learning curve, especially for beginners."

"I chose a rating of seven because Chef is a great tool, but sometimes resource consumption is quite large, and it requires server-side setup, which is not required but should be considered if you are using server-client plus server."

"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."

"I think it can be costly considering the advantages and disadvantages of Chef."

"There is a slight barrier to entry if you are used to using Ansible, since it is Ruby-based."

"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."

"I would also like to see more analytics and reporting features. Currently, the analytics and reporting features are limited. I'll have to start building my own custom solution with Power BI or Tableau or something like that. If it came with built-in analytics and reporting features that would be great."

More Chef cons

"Improve how to create and track releases. Currently, I have to create child projects."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."

"It was not supporting some plugins. We wanted to migrate data that we were already using."

"The response from Digital.ai Agility is a little bit slow and could be faster."

"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."

"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."

Pricing and Cost Advice

"Pricing for Chef is high."

"We are able to save in development time, deployment time, and it makes it easier to manage the environments."

"We are using the free, open source version of the software, which we are happy with at this time."

"When we're rolling out a new server, we're not using the AWS Marketplace AMI, we're using our own AMI, but we are paying them a licensing fee."

"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."

"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."

"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."

More Chef pricing and cost advice

"Comparing the pricing to other products, I think this solution is in the middle."

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."

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Top Industries

By visitors reading reviews

Comms Service Provider

12%

Outsourcing Company

Construction Company

Financial Services Firm

Manufacturing Company

13%

Insurance Company

12%

Construction Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	9
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	5

Questions from the Community

What is your experience regarding pricing and costs for Chef?

The licensing cost is zero for Chef if you are using the free version. They have developed other versions, such as SaaS-based and self-managed. For the SaaS-based version, it is $59 per node per ye...

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What needs improvement with Chef?

See all answers

What is your primary use case for Chef?

We used Chef, the automation tool, as an Infrastructure as Code tool for configuration deployment, such as deploying patches on numerous servers, first on the development box, then on QA, and then ...

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What needs improvement with Digital.ai Agility?

The response from Digital.ai Agility is a little bit slow and could be faster.

See all answers

What is your primary use case for Digital.ai Agility?

My main use case for Digital.ai Agility is learning to create a dashboard and prompt engineering. I am trying to automate my tasks by automating the dashboard.

See all answers

What advice do you have for others considering Digital.ai Agility?

You can use Digital.ai Agility for automating your tasks and creating your dashboard. I would rate this product an 8.

See all answers

Comparisons

Jenkins vs Chef

Compared 8% of the time

AWS CloudFormation vs Chef

Compared 7% of the time

Red Hat Ansible Automation Platform vs Chef

Compared 6% of the time

GitHub Actions vs Chef

Compared 6% of the time

Red Hat Satellite vs Chef

Compared 6% of the time

More Chef Competitors

Jira vs Digital.ai Agility

Compared 13% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

Jira Align vs Digital.ai Agility

Compared 6% of the time

More Digital.ai Agility Competitors

Product Reports

Buyer's Guide

Chef

August 2026

Download Chef product report

Buyer's Guide

Digital.ai Agility

August 2026

Download Digital.ai Agility product report

Also Known As

No data available

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum

Overview

Chef is a powerful automation tool designed for efficient infrastructure management across varied environments. With its environment-as-code model, Chef provides predictability and reliability in deployments, enhancing security compliance and reducing manual intervention.

Chef focuses on automating deployments and configurations, ensuring server consistency, managing scalable environments, and orchestrating service deployments. Its versatile recipe-writing and Ruby-based flexibility cater to large-scale operational needs. Chef’s integration with services like AWS and Azure enhances its versatility, while its idempotent deployments assure reliability. Despite its prowess, Chef requires improvements in feature offerings, especially regarding container orchestration and cloud technologies.

What are Chef's Key Features?

Automation: Streamlines infrastructure management across diverse environments.
Environment-as-Code: Offers predictability and efficiency in management.
Idempotency: Ensures reliable deployments by maintaining the same outcome no matter how often applied.
Cloud Integration: Seamlessly integrates with AWS and Azure.
Security Compliance: Enhances security measures across infrastructures.
Ruby-Based Flexibility: Provides versatile recipe-writing and flexible configurations.
Scalability: Suitable for large-scale operational needs.

What Benefits Should Users Consider?

Consistency: Automated deployments reduce errors and manual efforts.
Efficiency: Decrease in manual intervention enhances team productivity.
Reliability: Idempotent deployments ensure consistent outcomes.
Scalability: Supports expanding infrastructures effectively.
Security: Maintains compliance with enhanced security features.

Chef is implemented across industries to automate application deployments, manage CI/CD pipelines, provision infrastructure, and maintain compliance. Its recipes and cookbooks streamline workflows in application deployment, system updates, and orchestration of services, reducing errors and manual intervention in a variety of sectors.

Progress Software

Digital.ai Agility provides powerful visualization, automation, multiple planning levels, and integration capabilities, promoting efficient task management and organizational alignment.

Digital.ai Agility efficiently supports development tasks, facilitating agile frameworks like Scrum, Kanban, and SAFe. It offers strong collaboration features, automation capabilities, and seamless integrations. While it could improve its machine learning and analytics integration, it enables planning release automation and backlog management, assisting in strategic theme definition and linking portfolio items. Its sprint functionality, value stream creation, and team velocity calculations stand out for users.

What critical features does Digital.ai Agility offer?

Visualization: Robust tools to create clear development roadmaps.
Automation: Reduces manual effort and enhances workflow efficiency.
Integration: Supports integration with tools like Jira and Azure DevOps.
Planning Levels: Manages multiple iteration plans and "what if" scenarios.

What benefits should users expect?

Team Productivity: Supports agile frameworks and reduces plugin needs.
Goal Alignment: Links development tasks with strategic objectives.
Collaboration: Enhances teamwork with effective Scrum boards.
Flexibility: Facilitates transitions from other platforms.

Digital.ai Agility is widely used across industries for deployment standardization and release automation. It helps organizations manage backlogs and create intuitive dashboards, enabling them to adapt to different project management methodologies, suitable for both software and non-software teams.

Digital.ai

Sample Customers

Facebook, Standard Bank, GE Capital, Nordstrom, Optum, Barclays, IGN, General Motors, Scholastic, Riot Games, NCR, Gap

Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines

Buyer's Guide

Chef vs. Digital.ai Agility

August 2026

Free Report: Chef vs. Digital.ai Agility

Find out what your peers are saying about Chef vs. Digital.ai Agility and other solutions. Updated: August 2026.

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