No more typing reviews! Try our Samantha, our new voice AI agent.
PerfectScale Logo

PerfectScale Reviews

Vendor: PerfectScale
4.7 out of 5

What is PerfectScale?

Featured PerfectScale reviews

PerfectScale mindshare

As of May 2026, the mindshare of PerfectScale in the Cloud Cost Management category stands at 1.4%, up from 0.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
PerfectScale1.4%
IBM Turbonomic6.1%
Cloudability5.8%
Other86.7%
Cloud Cost Management
 
 
Key learnings from peers
Last updated Mar 27, 2026

Valuable Features

Room for Improvement

Top industries

By visitors reading reviews
Insurance Company
32%
Construction Company
27%
Healthcare Company
7%
Comms Service Provider
6%
Outsourcing Company
5%
Financial Services Firm
4%
Transportation Company
4%
University
3%
Religious Institution
3%
Computer Software Company
2%
Educational Organization
2%
Manufacturing Company
2%
Newspaper
1%
Government
1%
Retailer
1%
Real Estate/Law Firm
1%
Consumer Goods Company
1%

Compare PerfectScale with alternative products

Learn more about PerfectScale

Related questions

 
PerfectScale Reviews Summary
Author infoRatingReview Summary
DevOps & FinOps Engineer at a tech vendor with 501-1,000 employees4.0I've used PerfectScale for 1.5 years to optimize Kubernetes clusters, reduce costs, and improve resource management, though it could benefit from real-time scaling and better graph visualizations. Support has been helpful and responsive.
Sr Cloud engineer at a consultancy with 11-50 employees5.0I used PerfectScale to gain Kubernetes cost savings by optimizing resource allocation and getting workload insights. While initial support had issues, I found it much easier than Prometheus and recommend trying it for automated resource optimization.
Technical Product Manager at a tech vendor with 201-500 employees5.0I've used PerfectScale for under a year to optimize Kubernetes, and it quickly reduced cloud costs and improved performance. It's easy to use, offers great insights, and I especially value its automated resource adjustments across clusters.