Red Hat Lightspeed vs SAS Predictive Analytics comparison

Red Hat and SAS are both solutions in the Predictive Analytics category. Red Hat is ranked #5 with an average rating of 7.5, while SAS is ranked #8. Red Hat holds a 5.2% mindshare in PA, compared to SAS’s 4.4% 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 Lightspeed

Read 12 Red Hat Lightspeed reviews

1,861 Views
1,842 Comparison Views

91% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

560 Views
554 Comparison Views

100% willing to recommend

Red Hat Lightspeed

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 7, 2026

SAS Predictive Analytics and Red Hat Lightspeed compete in data analytics. SAS has the edge in extensive support and cost-effectiveness, while Red Hat Lightspeed is preferred for robust features and performance.

Features: SAS Predictive Analytics comes with advanced statistical capabilities, seamless integration with business applications, and comprehensive data-driven decision-making tools. Red Hat Lightspeed excels in real-time data processing, cloud-based scalability for agility, and provides modern solutions over traditional ones.

Ease of Deployment and Customer Service: SAS Predictive Analytics includes traditional on-premise and cloud options, requiring specialized expertise. Its customer service offers extensive support resources. Red Hat Lightspeed focuses on a streamlined cloud deployment, rapid integration, and minimal technical barriers, with prompt and efficient customer assistance enhancing ease of deployment.

Pricing and ROI: SAS Predictive Analytics is more affordable with lower initial costs, appealing for organizations seeking predictable ROI. Red Hat Lightspeed, although with higher setup costs, offers superior long-term returns due to enhanced capabilities.

To learn more, read our detailed Red Hat Lightspeed vs. SAS Predictive Analytics Report (Updated: April 2026).

Buyer's Guide

Red Hat Lightspeed vs. SAS Predictive Analytics

April 2026

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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 Lightspeed

Ranking in Predictive Analytics

5th

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

8th

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Predictive Analytics category, the mindshare of Red Hat Lightspeed is 5.2%, up from 1.9% compared to the previous year. The mindshare of SAS Predictive Analytics is 4.4%, up from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Mindshare Distribution
Product	Mindshare (%)
Red Hat Lightspeed	5.2%
SAS Predictive Analytics	4.4%
Other	90.4%

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.

Read full review

Quotes from Members

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

Pros

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

"The tool is simple and easy to use. It has good support and doesn't have many outages due to the OS."

"Red Hat support is very good; their response regarding SLAs has improved significantly in India, and I have no complaints about the support I continue to receive."

"It identifies bugs and security vulnerabilities."

"The most valuable features of Red Hat Enterprise Linux are the mobile applications and getting real-time notifications."

"Red Hat support is very good; their response regarding SLAs has improved significantly in India, and I have no complaints about the support I continue to receive."

"The product is optimized for resource utilization."

"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."

More Red Hat Lightspeed pros

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

"The most valuable features are forecasting and reporting."

Cons

"I would like to see improvements made to the subscriptions and management of them."

"I also want the co-pilot to provide more granular control and more features in the GUI, so we can have one configuration from the GUI itself. It would be helpful to have a feature similar to the one in Windows where we can manage all the net flows from one console in a single pane of glass and install it on-premises like an admin center. It would be great if Red Hat had some kind of admin center to manage all the RHEL boxes without using an additional product like Satellite or something, we could use the co-pilot on all the systems to monitor the dashboard."

"The improvements, in my opinion, have to be done in the infrastructure of the Red Hat Satellite, it is very complex."

"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."

"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."

More Red Hat Lightspeed cons

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

"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."

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

Pricing and Cost Advice

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

"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."

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

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

"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?

See all answers

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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Comparisons

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Compared 18% of the time

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Compared 17% of the time

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Compared 16% of the time

PredicSis vs Red Hat Lightspeed

Compared 15% of the time

Tango Analytics vs Red Hat Lightspeed

Compared 14% of the time

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Compared 14% of the time

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Compared 14% of the time

DataRobot vs SAS Predictive Analytics

Compared 14% of the time

Altair RapidMiner vs SAS Predictive Analytics

Compared 13% of the time

SAP Business Data Cloud vs SAS Predictive Analytics

Compared 13% of the time

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Product Reports

Buyer's Guide

Red Hat Lightspeed

April 2026

Download Red Hat Lightspeed product report

Buyer's Guide

Predictive Analytics

April 2026

Download SAS Predictive Analytics product report

Also Known As

Red Hat Insights

No data available

Overview

Red Hat Lightspeed is designed for seamless enterprise workload management. With user-friendly operations and robust security through OSCAP profiles, it ensures reliable lifecycle management and strong support.

Red Hat Lightspeed is engineered to enhance performance with automation capabilities like Ansible, proactive monitoring via Insights, and flexible infrastructure adaptability. Its features geared towards smart management using Satellite and comprehensive application deployment enhance stability. An intuitive dashboard streamlines real-time issue identification, promoting resource efficiency and reliability in governance. Improvements are needed in cockpit server functionality, GUI, and OSCAP profile integration, indicating a need for enriched documentation and better ease of use. Users suggest adding a status page due to site outages and prioritizing the enhancement of Ansible integration, as well as security compliance.

What are the key features of Red Hat Lightspeed?

Ease of Use: Simplified operations and management tasks.
Built-in Security: Enhanced security with OSCAP profiles.
Automation with Ansible: Streamlines repetitive tasks.
Insights Monitoring: Proactive system health checks.
Smart Management: Facilitates stability with Satellite.
Real-time Dashboard: Quick issue identification.

How does Red Hat Lightspeed deliver ROI?

Performance Enhancement: Boosts operational efficiency.
Security Assurance: Strong compliance measures.
Infrastructure Flexibility: Adapts to on-premises and cloud.
Patching Efficiency: Maintains system integrity.

Industries leverage Red Hat Lightspeed for running robust applications and databases, efficiently handling transaction servers and virtualization tasks. It supports both on-premises and cloud deployments, with common applications like Oracle databases and SAP solutions. By facilitating automation and security assessments, it aids in patch management and is instrumental for companies in executing cloud migrations, enabling predictive analytics, and ensuring system health to proactively tackle vulnerabilities.

Red Hat

SAS Predictive Analytics is a comprehensive tool for advanced data analysis, offering businesses innovative ways to forecast and optimize their operations effectively.

It stands out in its ability to process large datasets and integrate seamlessly with existing systems, providing insights that drive strategic decision-making. Its flexible framework allows diverse industries to customize analytics solutions tailored to specific demands, enhancing operational efficiency and accuracy.

What are the key features of SAS Predictive Analytics?

Data Mining: Extract valuable patterns from data to guide strategic initiatives.
Machine Learning: Automate complex analytical processes to improve accuracy and speed.
Model Management: Efficiently manage and deploy predictive models for consistent results.
Interactive Visualization: Present data insights through dynamic visual formats for easy interpretation.

What benefits should users consider?

Improved Decision-Making: Provides data-driven insights that enhance strategic planning.
Cost Efficiency: Reduces analysis time and resources, maximizing budget allocation.
Scalability: Adaptable to growing data needs, ensuring long-term utility.

SAS Predictive Analytics has been implemented effectively across industries such as retail for demand forecasting, in healthcare for patient outcome predictions, and in finance for risk assessment models, making it a valuable asset for improving business performance and decision-making accuracy.

SAS

Sample Customers

Cerner, Government of Nova Scotia

MetLife

Buyer's Guide

Red Hat Lightspeed vs. SAS Predictive Analytics

April 2026

Free Report: Red Hat Lightspeed vs. SAS Predictive Analytics

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