Red Hat Insights vs SAS Predictive Analytics comparison

Red Hat and SAS are both solutions in the Predictive Analytics category. Red Hat is ranked #6 with an average rating of 7.5, while SAS is ranked #7. Red Hat holds a 3.2% mindshare in PA, compared to SAS’s 4.7% mindshare. Additionally, 91% of Red Hat users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

Red Hat Insights

Read 12 Red Hat Insights reviews

386 Views
382 Comparison Views

91% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

297 Views
294 Comparison Views

100% willing to recommend

Red Hat Insights

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 6, 2025

SAS Predictive Analytics and Red Hat Insights compete in the realm of data-driven insights. SAS appears stronger in advanced data analysis, while Red Hat stands out in IT infrastructure management due to its feature set.

Features: SAS offers robust statistical analysis, machine learning algorithms, and automated insights, tailored for data-heavy organizations. Red Hat provides proactive maintenance, threat detection, and compliance management, vital for IT infrastructure management.

Ease of Deployment and Customer Service: SAS requires significant setup and customization, supported by dedicated services. Red Hat, with its streamlined deployment integrated into existing Red Hat systems, focuses on system compatibility and performance support, making deployment generally easier.

Pricing and ROI: SAS involves a higher initial investment, aiming for long-term analytical insights and substantial ROI. Red Hat, with lower setup costs, provides quick ROI through improved system efficiency. SAS's price is higher, whereas Red Hat is more cost-effective for IT infrastructure monitoring.

To learn more, read our detailed Red Hat Insights vs. SAS Predictive Analytics Report (Updated: December 2025).

Buyer's Guide

Red Hat Insights vs. SAS Predictive Analytics

December 2025

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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

Red Hat Insights

Ranking in Predictive Analytics

6th

Average Rating

8.8

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Predictive Analytics

Ranking in Predictive Analytics

7th

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Predictive Analytics category, the mindshare of Red Hat Insights is 3.2%, up from 1.3% compared to the previous year. The mindshare of SAS Predictive Analytics is 4.7%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Red Hat Insights	3.2%
SAS Predictive Analytics	4.7%
Other	92.1%

Predictive Analytics

Featured Reviews

VishalSingh15

Head of Business at Variyas Labs Pvt Ltd

Have found limited automation capabilities while configuration has remained complex despite reliable monitoring features

In terms of configuration, Red Hat Insights could use some improvement. When I deploy Red Hat, the installation means a pure vanilla installation where you run and install a product out of the box, but deployment involves configuration plus all necessary tooling to run that product, which requires human input to complete the installation, configurations, and integration. Red Hat Insights has very limited automation; it only detects anomalies and triggers corrective actions for compliance issues, something which I found lacking when compared to other tools I've used.

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it_user1139529

Data Scientist at a tech services company with 1,001-5,000 employees

Drag-and-drop functionality makes the interface easy to use, but the technical support needs to be improved

There are not many people deploying models using this solution, which is a problem. I have done some cross-development and have found that when I am building models with the open-source software, the accuracy is better. For categorical data, the models built by SAS Emailer are very complex compared to those built by the open-source version. Technical support could be improved because they take too long to answer our queries. Models that are created are a block box, and you can't see the details.

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Quotes from Members

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

Pros

"The product is optimized for resource utilization."

"The most valuable feature of Red Hat Insights is that it is dynamic."

"It identifies bugs and security vulnerabilities."

"Red Hat Enterprise Linux has made significant improvements in terms of storage. You can mount an 18 terabyte file system. It also supports NFS shares and the SIP share for the photos. There have been many features added since RHEL 6. It's more user-friendly and graphical."

"We use this product's built-in tracing and monitoring tools such as syslog and SAR (system activity reporter) to provide us with greater insight and visibility into what's going on."

"I have seen a return on investment, especially considering the time taken to resolve the problem where we bought some support from Red Hat."

"RHEL is the most reliable Linux flavor in terms of enterprise governance. I prefer it for its code stability, support, and integration. The lifecycle management features help us maintain compliance and keep the components updated."

"RHEL enables us to deploy applications and emerging workloads across bare-metal and virtualized environments and I find those workloads to be extremely reliable. The reliability is so good that I rarely find myself calling Red Hat support any longer. Support is the first benefit of using RHEL, but the second thing is that the platform is so stable that the need to use support is negligible."

More Red Hat Insights pros

"The most valuable features are forecasting and reporting."

"The most valuable feature is its flexibility and the ability to integrate with SAS."

Cons

"Sometimes, the product has outages that affect the site's ability."

"There is potential for improvement when it comes to ease of use. It has become easier to use over the years but could be better still. Linux, in general, has never been a simple solution. It's usually a more complex solution than something like Windows. If there is a downside, it's that it is more complex than some of the other solutions."

"AIX will be out of support in the next few years, so that is a problem because a lot of the clinical apps use AIX."

"All resources should be available on the website."

"The cockpit server doesn't work and is useless. I don't like the images shown in GCP. I prefer the ones in AWS. It seems like the solution is in tune with what we deploy on the private cloud."

"New products need better documentation. The websites also have a single sign-on to get you from one side to the other. As a partner, I had a problem finding out how I needed to connect and to which side of the solution."

"What could be improved dramatically is the ability to have it used by an enterprise, which means to interlock with Ansible Automation Platform first."

"Red Hat Insights has very limited automation; it only detects anomalies and triggers corrective actions for compliance issues, something which I found lacking when compared to other tools I've used."

More Red Hat Insights cons

"Technical support could be improved because they take too long to answer our queries."

"I think that this solution should be more compatible with other software, including open-source solutions."

Pricing and Cost Advice

"Regarding the prices, the new changes are actually not bad as it works for enterprise solutions."

"This is not a cheap solution but it gets you the support if you ever need it."

"If you have a subscription to Red Hat Enterprise Linux, Red Hat Insights is free."

"RHEL is expensive. We have changed the cloud provider's subscription to a pay-as-you-go model."

"The prices are comparable, and good for what is being provided."

"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."

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Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	9

No data available

Questions from the Community

What needs improvement with Red Hat Insights?

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What is your primary use case for Red Hat Insights?

I did not purchase the product through AWS Marketplace; AWS was primarily used as the platform for workloads. We use basic services within AWS, but I did not use anything from the marketplace becau...

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What advice do you have for others considering Red Hat Insights?

In terms of optimizing risk identification, I would rate Red Hat Insights around five to six on a scale of 1 to 10. I would give Red Hat Insights an overall rating of six on a scale from 1 to 10. I...

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Product Reports

Buyer's Guide

Red Hat Insights

January 2026

Download Red Hat Insights product report

Buyer's Guide

Predictive Analytics

December 2025

Download SAS Predictive Analytics product report

Overview

Red Hat Insights provides highly scalable, prescriptive analytics across complete, hybrid infrastructures. Delivered as a Software-as-a-Service (SaaS) offering, Red Hat Insights takes advantage of Red Hat’s industry expertise as a leader in open source software to generate tailored remediations in real time. Red Hat Insights uses intelligent data to pinpoint technical risks and help IT resolve problems before business is affected. This modern, integrated platform supports operational analytics and automated resolution across physical, virtual, container, and private and public cloud environments.

Red Hat

Information not available

SAS

Sample Customers

Cerner, Government of Nova Scotia

MetLife

Buyer's Guide

Red Hat Insights vs. SAS Predictive Analytics

December 2025

Free Report: Red Hat Insights vs. SAS Predictive Analytics

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