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Finout vs PerfectScale 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

Finout
Ranking in Cloud Cost Management
21st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
PerfectScale
Ranking in Cloud Cost Management
23rd
Average Rating
9.4
Reviews Sentiment
1.7
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Cloud Cost Management category, the mindshare of Finout is 1.2%, down from 1.4% compared to the previous year. The mindshare of PerfectScale is 1.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
Finout1.2%
PerfectScale1.8%
Other97.0%
Cloud Cost Management
 

Featured Reviews

HarshShah2 - PeerSpot reviewer
DevOps Engineer at Veefin Solutions Ltd.
Centralized cost governance has enabled accurate Kubernetes and SaaS spend allocation
The best features in my experience with Finout are the MegaBill, combining multiple cloud providers and SaaS tools into the consolidated dashboard. Virtual Tagging, Kubernetes cost allocation, cost anomaly detection, and custom dashboards are all valuable features. Virtual Tagging paired with the MegaBill concept completely resolved our historic tagging gaps. If a legacy resource lacks physical AWS tags, we can virtually tag it in seconds inside Finout to fix our cost attribution immediately. The governance capabilities of Finout are very solid. Virtual tagging rules allow us to enforce strict cost boundaries. From a security standpoint, it connects using secure, read-only IAM roles and digests AWS cost and usage reports, meaning it does not pose an operational risk to our live application environments.
reviewer2750058 - PeerSpot reviewer
DevOps & FinOps Engineer at a tech vendor with 501-1,000 employees
Gain visibility into Kubernetes clusters and optimize resource allocation based on historical data
I think they should focus more on Kubernetes features that allow on-the-fly resource allocation without the need to restart services. They should implement this in their autoscaler to make it more useful in scenarios that require immediate scaling up or down. They should also offer more options for visualizing graphs in different ways, such as tabular views.

Quotes from Members

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

Pros

"Finout paid for itself within the first quarter by exposing several forgotten high-compute database instances and misconfigured data pipelines that were draining budget needlessly."
"In terms of money saved, organizations could very easily save anywhere from ten to thirty percent of their cloud costs."
"We have achieved a twenty to thirty percent reduction in total cloud and SaaS waste by identifying orphan resources and optimizing underutilized third-party licenses."
"We have achieved a twenty to thirty percent reduction in total cloud and SaaS waste by identifying orphaned resources and optimizing underlying third-party licenses, and we also saved hours of engineering time previously spent manually building cost allocation spreadsheets every month."
"PerfectScale made our Kubernetes optimization effortless; it found wasted resources, lowered our cloud costs, and improved performance almost instantly."
"Automated resource optimization using different policies based on the environment enabled the organization to achieve infrastructure cost savings."
"The cluster and workload autoscaler gives us the ability to have control over all the workloads' resources instead of managing them one by one."
 

Cons

"While its visibility features are top-tier, I would appreciate seeing more actionable, automated remediations and guardrails similar to tools that can actively scale down infrastructure automatically."
"The right sizing feature is okay. It could be used, but I feel its functionality isn't as strong as the cloud-native solutions, so GCP, AWS, and Azure."
"While the visibility features are top-notch, I would like to see more actionable, automated cost optimization recommendations, and I would also love to see more advanced cost forecasting models."
"Finout's user interface is dense with data, which is great for power users, but simplifying the dashboard creation wizard for non-technical team managers would speed up adoption across the company."
"At the beginning, the support was not very impressive."
"With their in-place optimisations, stateful set optimisation would be a great addition."
"I think they should focus more on Kubernetes features that allow on-the-fly resource allocation without the need to restart services."
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909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Insurance Company
30%
Construction Company
26%
Comms Service Provider
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Finout?
While the visibility features are top-notch, I would like to see more actionable, automated cost optimization recommendations, and I would also love to see more advanced cost forecasting models. Fi...
What is your primary use case for Finout?
Our primary use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to the pod and namespace level, and merging our AWS infrastructure cost with third-par...
What advice do you have for others considering Finout?
We heavily rely on Finout to democratize cost data, as it allows our finance team and engineering managers to log into the same platform and see identical, clear metrics without requiring finance t...
What needs improvement with PerfectScale?
With their in-place optimisations, stateful set optimisation would be a great addition.
 

Comparisons

 

Overview

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