Chef vs Digital.ai Agility comparison

Why PeerSpot?

Progress Software and Digital.ai are both solutions in the Release Automation category. Progress Software is ranked #8 with an average rating of 7.6, while Digital.ai is ranked #12 with an average rating of 7.3. Progress Software holds a 3.1% mindshare in RA, compared to Digital.ai’s 2.3% mindshare. Additionally, 93% of Progress Software users are willing to recommend the solution, compared to 80% of Digital.ai users who would recommend it.

Chef

Read 26 Chef reviews

6,460 Views
1,680 Comparison Views

93% willing to recommend

Digital.ai Agility

Read 8 Digital.ai Agility reviews

3,827 Views
1,148 Comparison Views

80% willing to recommend

Chef

Digital.ai Agility

Comparison Buyer's Guide

Download the report

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: November 2026).

Buyer's Guide

Chef vs. Digital.ai Agility

November 2026

Download the complete report

Helped 920,769 peers since 2012

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

8th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Build Automation (14th), Configuration Management (8th)

Digital.ai Agility

Ranking in Release Automation

12th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Application Lifecycle Management (ALM) Suites (13th), Enterprise Agile Planning Tools (9th), Value Stream Management Software (5th)

Mindshare comparison

As of November 2026, in the Release Automation category, the mindshare of Chef is 3.1%, up from 1.4% compared to the previous year. The mindshare of Digital.ai Agility is 2.3%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Mindshare Distribution
Product	Mindshare (%)
Chef	3.1%
Digital.ai Agility	2.3%
Other	94.6%

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.

Read full review

JaiBharath Boithi

Data Scientist at a tech vendor with 51-200 employees

Agile planning has improved daily coordination but reporting and dashboards still need more flexibility

I would like to see more advanced reporting and analytics customization. The existing dashboards are useful for tracking velocity, backlog, and delivery, but deeper real-time insights would improve decision-making. I would also like simpler integrations and more flexibility, especially across large teams and complex projects. Another improvement I would like is more flexible reporting and dashboard customization, especially for creating organization-specific metrics. More intuitive visualizations would also help. Digital.ai Agility can be improved mainly by making reporting and dashboard customization more flexible and intuitive. I would also like simpler integrations with third-party tools and easier configurations of automated workflows. Better dependency visualizations and real-time alerts for delivery risk would help large teams identify blockers earlier. The user interface could also be simplified to make it easier for new users. Overall, these improvements would make day-to-day planning, reporting, and cross-team coordination more efficient. There are a few areas where improvements are needed. I would like to see further improvements in user experience and navigation, especially making commonly used features easier to access for new users. More intuitive dashboard customization, better dependency visualization, and simpler third-party integrations would also help.

Read full review

Quotes from Members

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

Pros

"We have seen a lot of ROI, our customers really enjoy the tool, and we are able to save in development time and deployment time, making it easier to manage the environments."

"It streamlined our deployments and system configurations across the board rather than have us use multiple configurations or tools, basically a one stop shop."

"It has decreased a lot of man-hours that we were previously spending doing stuff which we now manage with Chef, decreased the time to fix production issues, and reduced the number of production issues since using Chef to automate our provisioning."

"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."

"Part of the reason why we have stuck with it is that it managed to effectively scale with us and stay stable at the same time."

"The solution is easy to use and learn, and it easily automates all the code and infrastructure."

"Deployment has become quick and orchestration is now easy."

"The most important thing is it can handle a 100,000 servers at the same time easily with no time constraints."

More Chef pros

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."

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

"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."

"Overall, the biggest benefits have been better delivery visibility, improved planning, faster decision-making, and reduced administrative effort."

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

"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."

"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

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

"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."

"Third-party innovations need improvement, and I would like to see more integration with other platforms."

"However, if you are on-premise, it may not be the best solution."

"I would like to see more security features for Chef and more automation."

"The agent on the server sometimes acts finicky."

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

"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."

More Chef cons

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

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

"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."

"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."

"The user interface could also be simplified to make it easier for new users."

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

"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."

Pricing and Cost Advice

"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."

"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."

"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 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."

"Pricing for Chef is high."

"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."

More Chef pricing and cost advice

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

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

See which vendors are best for you

Use our free recommendation engine to learn which Release Automation solutions are best for your needs.

See recommendations

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Outsourcing Company

13%

Comms Service Provider

11%

Manufacturing Company

Financial Services Firm

Manufacturing Company

11%

Insurance Company

10%

Outsourcing Company

Construction Company

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	3
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...

See all answers

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 ...

See all answers

What needs improvement with Digital.ai Agility?

See all answers

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

I primarily use Digital.ai Agility for Agile project management, sprint planning, backlog management, and tracking team progress and deliveries. We use Digital.ai Agility for Agile project and port...

See all answers

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

I can advise others to use Digital.ai Agility for organizations. It is good for enterprise-level Agile planning across multiple teams and portfolios. Before implementing it, I would suggest startin...

See all answers

Comparisons

Red Hat Ansible Automation Platform vs Chef

Compared 9% of the time

Jenkins vs Chef

Compared 7% of the time

AWS CloudFormation vs Chef

Compared 6% of the time

GitHub Actions vs Chef

Compared 5% of the time

Microsoft Azure DevOps vs Chef

Compared 5% of the time

More Chef Competitors

Jira vs Digital.ai Agility

Compared 12% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

OpenText Application Quality Management vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

More Digital.ai Agility Competitors

Product Reports

Buyer's Guide

Chef

October 2026

Download Chef product report

Buyer's Guide

Digital.ai Agility

October 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

November 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: November 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

See our Chef vs. Digital.ai Agility report.

See our list of best Release Automation vendors.

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.