SAS Visual Analytics vs XLCubed comparison

The compared SAS and Fluence Technologies solutions aren't in the same category. SAS is ranked #12 in DV , with an average rating of 8.8, and holds a 1.6% mindshare in the category. Fluence Technologies is ranked #30 in RT , and holds a 1.1% mindshare. Additionally, 97% of SAS users are willing to recommend the solution, compared to 50% of Fluence Technologies users who would recommend it.

SAS Visual Analytics

Read 41 SAS Visual Analytics reviews

4,526 Views
1,720 Comparison Views

97% willing to recommend

XLCubed

Read 2 XLCubed reviews

935 Views
711 Comparison Views

50% willing to recommend

SAS Visual Analytics

XLCubed

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAS Visual Analytics and XLCubed based on real PeerSpot user reviews.

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To learn more, read our detailed Data Visualization Report (Updated: June 2026).

Buyer's Guide

Data Visualization

June 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

SAS Visual Analytics

Average Rating

8.2

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Data Visualization (12th)

XLCubed

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Reporting (30th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. SAS Visual Analytics is designed for Data Visualization and holds a mindshare of 1.6%, down 3.5% compared to last year.
XLCubed, on the other hand, focuses on Reporting, holds 1.1% mindshare, up 0.4% since last year.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
SAS Visual Analytics	1.6%
Tableau Enterprise	10.1%
Qlik Sense	4.9%
Other	83.4%

Data Visualization

Reporting Mindshare Distribution
Product	Mindshare (%)
XLCubed	1.1%
Tableau Enterprise	14.6%
Microsoft Power BI	13.5%
Other	70.8%

Reporting

Featured Reviews

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Interactive dashboards have transformed clinical reporting and now support real time decisions

The best features of SAS Visual Analytics include performing data manipulation. I would characterize this as making data ready, transforming data, and making new variables through code while utilizing low-code and no-code facilities. In my experience, low-code features in SAS Visual Analytics help when I need to create a new variable. For instance, I can extract a date through the data roll step, and with no-code features, I can perform report creation by simply using drag and drop functionality. After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.

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it_user1391316

Head of Finance Systems at NHS

Cost effective with great capability, performance, flexibility and visuals

In general, we're happy with the solution but we're always looking to see what else is out there. The thing we've struggled with is our partnership with Tagetik UK, the consultants, and the issue we had gaining access to consultants to develop the solution on our behalf. Thankfully we connected directly with XLCubed and now have a pretty close and good relationship with them so the earlier problem we had of actually getting resources to help us develop has now been solved. One of the things that we've been asking for and would like as an additional feature is a sort of benchmarking functionality. The ability to be able to benchmark, directly against the company digital corporate numbers. That said, there seems to be improved functionality within the latest release that could help us develop that further.

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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

"It's very good. Very good. For our use, it is better than Qlik."

"After implementation of SAS Visual Analytics, we overcome the prediction of future business and we were able to plan the future business, who are our premium customers, where we can cross-sell our products more, etc."

"The product is stable, reliable, and scalable."

"In short it is a powerful analytical tool display, which is an interesting option for companies without having to make a large initial investment, want to start making analytical, with the ability to scale and grow into other tools."

"We've found the product to be stable and reliable."

"The features I found most valuable were the quick visualizations and the ease with which one could explore data sets."

"It's an easy to use solution, it's relatively simple to create basic dashboards and reports."

"The visualization capabilities and the email functionality are most beneficial."

More SAS Visual Analytics pros

"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."

"The solution has great capability, performance, flexibility, visuals, everything, and we also have a very good relationship with the consultants and the solution is also very cost effective."

Cons

"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."

"There is a need for coding when it comes to digital reporting which can be intimidating."

"SAS Visual Analytics could improve by making it more accessible for users outside the organization."

"I don't think the return on investment is high when I factor in the cost of additional components like text mining and machine learning."

"Data preparation and data management need work, as without Enterprise Guide, if you use SAS/VA alone (not SAS/VA pro), it will be hard to do the data preparation."

"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."

"Regarding performance, they have some issues. They have always had some issues there."

"There are a lot of technicalities in setting up the product."

More SAS Visual Analytics cons

"There should be a better or an easier way to establish that connection to external sources."

"It's quite a stable solution although we sometimes encounter issues internally within our IT department with regard to the structure."

"Would like the ability to be able to benchmark."

"At this time, I cannot recommend this solution to others because I cannot connect."

Pricing and Cost Advice

"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."

"SAS Visual Analytics is expensive, as is the rest of the platform."

"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."

"Licensing is simple."

"$10,000 per annum for an enterprise license."

"It was licensed for corporate use, and its licensing was on a yearly basis."

"The cost of the solution can be expensive. There is an additional cost for users."

"The product is expensive."

More SAS Visual Analytics pricing and cost advice

"I am still using the two-week trial, but at first sight, the price is reasonable."

"14,000 Pounds per year for licensing."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

10%

Construction Company

10%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	10
Large Enterprise	19

No data available

Questions from the Community

What is your experience regarding pricing and costs for SAS Visual Analytics?

My experience with pricing, setup costs, and licensing was positive, and I am happy with it.

See all answers

What needs improvement with SAS Visual Analytics?

SAS Visual Analytics offers many options, and new users unfamiliar with SAS might face some difficulties. Training on SAS Visual Analytics is required to help overcome these issues.

See all answers

What is your primary use case for SAS Visual Analytics?

My main use case for SAS Visual Analytics is making visual reports such as graphs, gauge plots, outlier plots, geomaps, and presenting my clinical data into a report or an interactive dashboard whi...

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Comparisons

Tableau Enterprise vs SAS Visual Analytics

Compared 13% of the time

Microsoft Power BI vs SAS Visual Analytics

Compared 9% of the time

Oracle OBIEE vs SAS Visual Analytics

Compared 5% of the time

SAP BusinessObjects Business Intelligence vs SAS Visual Analytics

Compared 5% of the time

More SAS Visual Analytics Competitors

Tableau Enterprise vs XLCubed

Compared 28% of the time

Microsoft Power BI vs XLCubed

Compared 20% of the time

QlikView vs XLCubed

Compared 10% of the time

SAP Crystal Reports vs XLCubed

Compared 9% of the time

Panorama Necto vs XLCubed

Compared 5% of the time

More XLCubed Competitors

Product Reports

Buyer's Guide

SAS Visual Analytics

June 2026

Download SAS Visual Analytics product report

Buyer's Guide

Reporting

July 2026

Download XLCubed product report

Also Known As

SAS BI

No data available

Overview

SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.

SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.

What are the most significant features of SAS Visual Analytics?

Rapid Data Processing: Efficiently handles large volumes of data for swift insights.
Interactive Reporting: Allows exploration of data through dynamic visuals.
Advanced Forecasting: Offers sophisticated prediction and analysis capabilities.
Scalable Integration: Seamlessly connects with diverse data sources.
Automation: Streamlines processes for enhanced productivity.

What benefits should users consider when evaluating?

Scalability: Ability to grow and adapt to expanding data needs.
Enhanced Insights: Delivers comprehensive report generation and visualization.
Data-driven Decisions: Empowers analytical decision-making with structured data presentation.
Flexibility: Supports integration beyond standard BI tools for broader functionality.

SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.

SAS

XLCubed enhances data analytics by offering seamless integration with Microsoft Excel. Its flexibility provides users with advanced data visualization, facilitating efficient business intelligence.

XLCubed stands out in the data analytics landscape by empowering Excel users with sophisticated capabilities for data visualization and analysis. It enables users to create interactive dashboards directly in Excel, bridging the gap between data sources and actionable insights. With XLCubed, decision-makers can easily access critical data in real-time, improving the pace and quality of decision-making processes.

What are the most important features of XLCubed?

Interactive Dashboards: Craft dynamic and interactive dashboards that bring data to life seamlessly within Excel.
Direct Data Access: Connect directly to data sources like SQL and OLAP, ensuring real-time insights without redundant data transfers.
Advanced Charting: Utilize a wide array of chart types to represent data compellingly, allowing for nuanced data interpretation.
Slicer Support: Use Excel’s slicers for intuitive filtering and drill-down capabilities within reports.
Rapid Report Creation: Facilitate the swift creation of complex reports that are easy to share and refresh.

What benefits or ROI should users consider?

Increased Productivity: Save time by leveraging Excel’s familiar environment, reducing the learning curve for advanced analytics.
Enhanced Decision-Making: Seamless data integration enhances the speed and accuracy of business decisions.
Cost Efficiency: Minimize additional software costs by leveraging existing Excel infrastructure.
Scalable Insights: Support growing data needs without extensive overhauls to existing systems.

XLCubed is often implemented by industries that rely heavily on data-driven strategies, such as finance, retail, and healthcare. In finance, it enables real-time portfolio monitoring and risk assessment. Retail industries utilize it for sales analysis and demand forecasting, while healthcare benefits from the timely presentation of patient and clinical data insights.

Fluence Technologies

Sample Customers

Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.

Marshalls Ltd, BP Exploration and Production, Thorntons, Ted Baker, Bristol-Myers, Rank Group, ING Bank Genve, Cargill Value Investment, Chloride Power, Auchan, Erste, UEFA, Novartis, Porsche Informatik, Raiffeisen Bank International

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