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Archera vs CAST AI comparison

 

Comparison Buyer's Guide

Executive Summary

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

Archera
Ranking in Cloud Cost Management
29th
Average Rating
9.6
Reviews Sentiment
6.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
CAST AI
Ranking in Cloud Cost Management
13th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Cloud Cost Management category, the mindshare of Archera is 0.6%, up from 0.1% compared to the previous year. The mindshare of CAST AI is 1.9%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
CAST AI1.9%
Archera0.6%
Other97.5%
Cloud Cost Management
 

Featured Reviews

LJ
Medical professor at University of Lamar
Resource management in neuroscience has become faster and data-driven and now supports better studies
From my experience now, Archera has a very good program and useful tools. It is great, but as I said earlier, you can show more through social networks, sites, or training to help people use these tools. Formation is more specific. How can people such as me study and learn more about your program? Initially, they are very happy with Archera, which I appreciate. But perhaps if we can use the tool with more than one group of people and have shared information, that would be very good. If you understand me, it is about training and allowing more people to use it simultaneously. I see that when they are using it in their department, this group has maybe ten or twelve people who know about it. When I saw that, I thought it was incredible, and I want more information about it. They have given me information, but I want to learn by myself.
DeepakReddy - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Archera is an all-in-one unit; all work is done in one specific way, which is very good for me."
"Using the product is a very smooth process, and they help you every step of the way, so it has been great and will not be hard for anyone to join and start using the product."
"The platform is very user-friendly, and it's helpful to have all the tools readily available without needing to send an email or do extra work."
"CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills, really impacting our organization positively and enabling us to use our cloud better."
"CAST AI's machine learning algorithms that listen to the data generated by the cluster in order to optimize the workloads are among the best features offered."
"In the last Q2 result, because of using CAST AI, we have reduced our manpower, money, and cost by 20 to 30%, which indicates substantial funding reduction."
"In terms of cost savings, we have currently reduced our costs by 30 to 40%, and it saves time while managing infrastructure because it continuously monitors and provides the nodes to the application, so we don't need to do anything ourselves."
"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."
"Since adopting CAST AI, we achieved approximately 30-40% reduction in Kubernetes infrastructure costs."
"Overall, CAST AI has been a valuable addition to our Kubernetes platform operations."
"CAST AI monitors the workloads in the cluster and optimizes the number of nodes needed, their CPU and their memory so that we pay as little as possible."
 

Cons

"Maybe there are some tiny improvements regarding the UI, the configuration aspect, or integration capabilities."
"We don't have issues. We discussed with them that we wanted to have other clouds implemented with us, and they have been very helpful, going step by step in solving that issue."
"From my experience now, Archera has a very good program and useful tools. It is great, but as I said earlier, you can show more through social networks, sites, or training to help people use these tools."
"I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies in CAST AI."
"To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies."
"The limitations of CAST AI include reporting and customization options."
"CAST AI can be improved by managing the role-based access control better."
"The reason I did not give it a perfect score is that I would still prefer to see more advanced cost reporting and workload-level analytics."
"CAST AI can be improved in that automation policies require careful tuning."
"CAST AI could be improved by adding some AI agent capabilities."
"I would like to see CAST AI improved with deeper and more intelligent answers and solutions, along with additional optimization and customization options."
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Top Industries

By visitors reading reviews
Construction Company
33%
Healthcare Company
9%
Outsourcing Company
8%
Comms Service Provider
6%
Outsourcing Company
26%
Energy/Utilities Company
12%
Construction Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise4
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise3
 

Questions from the Community

What needs improvement with Archera?
From my experience now, Archera has a very good program and useful tools. It is great, but as I said earlier, you can show more through social networks, sites, or training to help people use these ...
What is your primary use case for Archera?
Over the past six months, I have had contact with Archera, and other doctors told me about them. In the Department of Science and Research, I discuss the program, and they demonstrate the quality o...
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...
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...
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...
 

Comparisons

No data available
 

Overview

Find out what your peers are saying about Archera vs. CAST AI and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.