CAST AI vs Harness comparison

CAST AI and Harness are both solutions in the Cloud Cost Management category. CAST AI is ranked #13 with an average rating of 8.6, while Harness is ranked #6 with an average rating of 8.1. CAST AI holds a 1.9% mindshare in CCM, compared to Harness’s 2.1% mindshare. Additionally, 100% of CAST AI users are willing to recommend the solution, compared to 100% of Harness users who would recommend it.

CAST AI

Read 8 CAST AI reviews

1,650 Views
1,650 Comparison Views

100% willing to recommend

Harness

Read 11 Harness reviews

5,461 Views
1,256 Comparison Views

100% willing to recommend

CAST AI

Harness

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between CAST AI and Harness based on real PeerSpot user reviews.

Find out in this report how the two Cloud Cost Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed CAST AI vs. Harness Report (Updated: August 2026).

Buyer's Guide

CAST AI vs. Harness

August 2026

Download the complete report

Helped 909,725 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:

ROI

Sentiment score

7.4

Organizations saved 20-40% on cloud costs with CAST AI, enhancing efficiency and reallocating funds to high-priority tasks.

Sentiment score

7.3

Harness enhanced deployment efficiency and error reduction, yielding significant ROI through automation and AI-driven cost-saving strategies.

I have seen a return on investment, and the ROI was visible within a few months through cloud cost reduction alone.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

The ROI was visible within a few months through cloud cost reduction alone.

DeepPujara

Siem Engineer at a tech services company with 11-50 employees

CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills.

DeepakReddy

Sr.Devops engineer at Scaler

For more quotes and insights, download the CAST AI report

The AI features that they have and with which we can rewrite the pipeline and troubleshoot issues significantly saved time.

Harsh Goenka

Cloud Architect at a outsourcing company with 51-200 employees

By adopting templates and various different pipelines across our own IDP platform, we have saved upwards of 30 to 40% of development time.

Manav Kanduri

Technical Associate at ZS

With Harness, the release process decreased from three or four hours to one or two hours, making deployments much quicker.

Linwei Yuan

Software Engineer at Citi

For more quotes and insights, download the Harness report

Customer Service

Sentiment score

8.1

CAST AI's customer service is praised for responsiveness, expertise, effective guidance, and high satisfaction in Kubernetes environments.

Sentiment score

7.7

Harness offers reliable, responsive customer service and well-structured documentation, providing efficient issue resolution and high user satisfaction.

I would rate the customer support 10 out of 10.

Udit Parekh

DevOps Engineer at Veefin

The governance and security of CAST AI are solid, providing sufficient visibility into cluster changes and optimization actions.

HarshShah2

DevOps Engineer at Veefin Solutions Ltd.

Response times are reasonable and the team is knowledgeable.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

For more quotes and insights, download the CAST AI report

We have rarely faced issues with Harness tech support.

Saurab Gnagurde

IT Analyst | Aws Cloud Ops | Dev Ops | Fin Ops at Tata Consultancy

We have not faced any customer support issues, with tickets resolved in less than a four-day SLA.

reviewer2787339

Quality Engineering Lead at a logistics company with 51-200 employees

There was an instance when I faced issues with third-party plugins, and after raising a support ticket, they responded in a few hours with a documentation link that resolved my issue.

Akashkhurana Hirana

Senior Software Engineer 2 at Porch

For more quotes and insights, download the Harness report

Scalability Issues

Sentiment score

6.8

CAST AI offers robust scalability, efficiently managing dynamic Kubernetes environments and workloads without performance bottlenecks, ensuring automatic adaptability.

Sentiment score

7.5

Harness effectively scales SaaS environments, supports complex workflows, but may face stability issues with simultaneous service integrations.

It is a SaaS platform that will scale automatically.

Udit Parekh

DevOps Engineer at Veefin

CAST AI's scalability is very good; it scales effectively with cluster growth and increasing workload complexity.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

It scales effectively with cluster growth and increasing workload complexity.

DeepPujara

Siem Engineer at a tech services company with 11-50 employees

For more quotes and insights, download the CAST AI report

Our entire organization uses it with hundreds of applications, and it supports this scale effectively.

Ravi Hanok

Senior Software Engineer at a financial services firm with 10,001+ employees

It is able to work on our infrastructure side, which is EKS, and we are able to handle our organization growth effectively for an enterprise use case.

Manav Kanduri

Technical Associate at ZS

When I integrated Harness to more than 20 applications in one place, it becomes less stable.

Linwei Yuan

Software Engineer at Citi

For more quotes and insights, download the Harness report

Stability Issues

Sentiment score

9.0

CAST AI reliably excels in Kubernetes environments, with no downtime, effectively implementing user-approved optimization suggestions consistently.

Sentiment score

8.1

Harness is considered stable and reliable, although integration with many applications may occasionally affect stability.

In most cases, the optimization suggestions are practical and effective.

HarshShah2

DevOps Engineer at Veefin Solutions Ltd.

CAST AI has proven to be stable and reliable in production environments.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

For more quotes and insights, download the CAST AI report

Harness is completely stable, and we are using it in production without facing any stability issues at all.

reviewer2787339

Quality Engineering Lead at a logistics company with 51-200 employees

We have rarely faced issues with Harness tech support.

Saurab Gnagurde

IT Analyst | Aws Cloud Ops | Dev Ops | Fin Ops at Tata Consultancy

Harness is decently stable.

Manav Kanduri

Technical Associate at ZS

For more quotes and insights, download the Harness report

Room For Improvement

CAST AI needs improvements in documentation, interface, customization, reporting, cost insights, automation, governance, and cloud integration for Kubernetes.

Simplify configuration, improve UI, expand features, clarify pricing, and enhance security to improve accessibility and functionality for smaller teams.

There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing.

DeepakReddy

Sr.Devops engineer at Scaler

More detailed documentation and deeper visibility into certain optimization decisions would also be helpful.

Udit Parekh

DevOps Engineer at Veefin

To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies.

HarshShah2

DevOps Engineer at Veefin Solutions Ltd.

For more quotes and insights, download the CAST AI report

There is not a lot of good support for pipeline as code, and I often find myself not using pipeline as code the way other platforms such as GitHub Actions or Jenkins integrate pipeline as code.

Manav Kanduri

Technical Associate at ZS

Improved documentation and onboarding tutorials would help accelerate adoption.

Samruddhi Patil

Cloud Platform at Futurescape

Harness can be improved by providing more clarity on the credits it issues for Harness Cloud, as it has a tiered pricing structure involving license and credit costs, which can get confusing.

reviewer2787339

Quality Engineering Lead at a logistics company with 51-200 employees

For more quotes and insights, download the Harness report

Setup Cost

Enterprise users commend CAST AI for its cost-effective, usage-based pricing, enhancing savings and operational efficiency for large Kubernetes environments.

Harness pricing is higher than open-source but justified by benefits, with room for improvement in licensing cost noted.

In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment.

Udit Parekh

DevOps Engineer at Veefin

I have not found the price to be too high for the features it provides.

reviewer2858520

Cloud Architect at a tech vendor with 10,001+ employees

Pricing was reasonable considering the cost savings achieved

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

For more quotes and insights, download the CAST AI report

From what I understand with respect to Harness, licensing and setup costs were relatively low for an enterprise, and the pricing was more catered toward enterprises who would invest in the technology.

Manav Kanduri

Technical Associate at ZS

The licensing cost is a little bit too high.

Harsh Goenka

Cloud Architect at a outsourcing company with 51-200 employees

For more quotes and insights, download the Harness report

Valuable Features

CAST AI optimizes Kubernetes with automated scaling, cost efficiency, resource management, and recommendations, enhancing performance and reducing expenses.

Harness simplifies CI/CD automation with AI-driven processes, enhancing deployment speed and reliability while reducing risks and manual effort.

CAST AI has had a positive impact on my organization through cost reduction. On average, I think the savings are between 15 and 20 percent, and for certain workloads, these savings can be even higher.

reviewer2858520

Cloud Architect at a tech vendor with 10,001+ employees

CAST AI has positively impacted our organization by reducing cloud costs, improving resource utilization, and allowing our engineering team to spend less time managing infrastructure and more time on platform improvements.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

With CAST AI, nodes are added or removed automatically as workloads change, helping us maintain application performance while reducing unnecessary cloud costs.

DeepPujara

Siem Engineer at a tech services company with 11-50 employees

For more quotes and insights, download the CAST AI report

Harness uses AI to suggest errors in case of deployment failures.

Ravi Hanok

Senior Software Engineer at a financial services firm with 10,001+ employees

The platform also supports cloud-native environments and Kubernetes deployments, making pipeline management easier, and its automation capabilities significantly improve speed and reliability.

Samruddhi Patil

Cloud Platform at Futurescape

If something goes wrong, I can use AI troubleshooting to build or test my fails and analyze the logs, suggesting the fixes.

Harsh Goenka

Cloud Architect at a outsourcing company with 51-200 employees

For more quotes and insights, download the Harness report

Categories and Ranking

CAST AI

Ranking in Cloud Cost Management

13th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Harness

Ranking in Cloud Cost Management

6th

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Build Automation (5th), Static Application Security Testing (SAST) (7th), Feature Management (2nd)

Mindshare comparison

As of August 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.9%, down from 2.0% compared to the previous year. The mindshare of Harness is 2.1%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Cost Management Mindshare Distribution
Product	Mindshare (%)
Harness	2.1%
CAST AI	1.9%
Other	96.0%

Cloud Cost Management

Featured Reviews

DeepakReddy

Sr.Devops engineer at Scaler

Automated cost controls have cut cloud waste and free our team to focus on new projects

CAST AI can be improved in that automation policies require careful tuning. Sometimes it can be confusing for non-technical people or managers who are not familiar with technical details. However, it is good for technical people who are already into DevOps or cloud engineering. Spot strategies may need adjustment for sensitive workloads. The reporting and UI part can be somewhat better. Technical support can also be improved. Documentation is somewhat unclear sometimes, but not everywhere. There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing. These features are very good for our organization because they reduce a lot of cost and reduce a lot of manual effort. However, some things can be improved, such as automation policies that require careful tuning and may need somewhat more help. Spot strategies can be improved, and some UI and documentation can also be improved.

Read full review

Manav Kanduri

Technical Associate at ZS

Templatized pipelines have improved efficiency while limitations in code-based development remain

Harness UI can do a lot of good things. Harness's UI should not feel very complicated. At the current stage, it feels very commercialized and compared to other platforms such as Argo CD or Jenkins, which feel much more lively and much more simple. Infrastructure as code or pipeline as code is something that Harness severely lacks. There is not a lot of good support for pipeline as code, and I often find myself not using pipeline as code the way other platforms such as GitHub Actions or Jenkins integrate pipeline as code. Pipeline as code is definitely one of the disadvantages when it comes to Harness. Additionally, the entire platform feels very commercialized, which is something that a lot of developers, especially open-source enthusiasts, might not appreciate even within the organization. One of the very important key factors I observed was that there is no way to execute nested pipelines, which means that we cannot execute child pipelines within child pipelines and child pipelines even within those child pipelines. There is no way to execute nested pipeline execution, which may or may not be required based on the use case, but it is definitely one of those features that I wish the platform had.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Cost Management solutions are best for your needs.

See recommendations

909,725 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Outsourcing Company

26%

Energy/Utilities Company

12%

Construction Company

Educational Organization

Financial Services Firm

25%

Outsourcing Company

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	3
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?

My experience with pricing, setup cost, and licensing was that the proposal they shared with us included an ongoing monthly cost. There was a one-time setup cost as well, but all that we spent with...

See all answers

What needs improvement with CAST AI?

CAST AI can be improved by managing the role-based access control better. I think it would be better for CAST AI to improve how access permissions are handled for developers. That would be a benefi...

See all answers

What is your primary use case for CAST AI?

My main use case was to migrate development and staging environments to Kubernetes using CAST AI, and with them, we created these environments. We moved them from virtual machines to Kubernetes clu...

See all answers

What needs improvement with Harness?

There are some UI components that can be improved. The needed UI improvements include more graphs, more history, the ability to create pipelines through the UI, and more interactions, with UI compo...

See all answers

What is your primary use case for Harness?

My main use case for Harness is to create pipelines, deploy applications, and manage security pipelines. I use Harness to deploy applications to EC2 instances and Kubernetes instances, and I create...

See all answers

What advice do you have for others considering Harness?

My advice for others looking into using Harness is to use AI capabilities, create pipelines, and then use it to deploy. Harness is a good tool. I would rate this review a nine out of ten.

See all answers

Comparisons

Turbo360 (Formerly Serverless360) vs CAST AI

Compared 21% of the time

IBM Turbonomic vs CAST AI

Compared 14% of the time

Spot by Flexera vs CAST AI

Compared 11% of the time

Apptio Cloudability vs CAST AI

Compared 10% of the time

VMWare Tanzu CloudHealth vs CAST AI

Compared 9% of the time

More CAST AI Competitors

GitHub Actions vs Harness

Compared 9% of the time

Jenkins vs Harness

Compared 8% of the time

GitLab vs Harness

Compared 6% of the time

CloudBees vs Harness

Compared 5% of the time

AWS CodePipeline vs Harness

Compared 4% of the time

More Harness Competitors

Product Reports

Buyer's Guide

CAST AI

August 2026

Download CAST AI product report

Buyer's Guide

Harness

August 2026

Download Harness product report

Also Known As

No data available

Armory

Overview

CAST AI is revered for its powerful cloud optimization capabilities, notably in cost reduction, performance enhancement, and security strengthening. It automates resource management and scales operations efficiently, leading to significant organizational improvements in efficiency, cost savings, and smoother cloud integration and management.

CAST AI

Harness offers a comprehensive toolset for automating deployment processes and enhancing software update efficiency. It's lauded for its CI/CD capabilities, feature flagging, and real-time deployment monitoring. Key features include an intuitive UI, secret management, and robust rollback functionalities, all contributing to improved productivity and reduced errors in DevOps environments.

Harness

Sample Customers

Information Not Available

Linedata, Openbank, Home Depot, Advanced

Buyer's Guide

CAST AI vs. Harness

August 2026

Free Report: CAST AI vs. Harness

Find out what your peers are saying about CAST AI vs. Harness and other solutions. Updated: August 2026.

DOWNLOAD NOW

909,725 professionals have used our research since 2012.

See our CAST AI vs. Harness report.

See our list of best Cloud Cost Management vendors.

We monitor all Cloud Cost Management 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.