Oracle Analytics Cloud vs SAS Visual Analytics comparison

Why PeerSpot?

Oracle and SAS are both solutions in the Data Visualization category. Oracle is ranked #15 with an average rating of 8.0, while SAS is ranked #16 with an average rating of 9.5. Oracle holds a 2.1% mindshare in DV, compared to SAS’s 1.7% mindshare. Additionally, 77% of Oracle users are willing to recommend the solution, compared to 97% of SAS users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

7,424 Views
3,044 Comparison Views

77% willing to recommend

SAS Visual Analytics

Read 41 SAS Visual Analytics reviews

6,137 Views
2,516 Comparison Views

97% willing to recommend

Oracle Analytics Cloud

SAS Visual Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

SAS Visual Analytics and Oracle Analytics Cloud offer solutions in the data analytics category. Oracle Analytics Cloud seems to have an edge due to its strong integration with AI and machine learning, as well as a more flexible deployment environment.

Features: SAS Visual Analytics provides powerful tools for data analysis, interactive reporting, and a user-friendly interface for non-technical users. It also offers comprehensive data integration, making insights easy to access. Oracle Analytics Cloud focuses on data visualization, dashboarding, and includes predictive analysis and training models. It efficiently handles large data volumes and integrates well with AI technologies for better decision-making.

Room for Improvement: SAS Visual Analytics may be expensive and complex to install. It faces occasional stability issues with large datasets and lacks advanced data preparation and forecasting in reports. Oracle Analytics Cloud struggles with pricing transparency and a complex user interface. Users suggest a need for more versatile visualization options and more interactive dashboards.

Ease of Deployment and Customer Service: SAS Visual Analytics primarily supports on-premises deployment with limited hybrid cloud options, while Oracle Analytics Cloud offers more flexibility with on-premises, private, and public cloud environments. Customer service for SAS varies, while Oracle is known for quick and efficient support, although improvements are suggested.

Pricing and ROI: SAS Visual Analytics is considered high-cost due to its complex licensing and installation. While users find it valuable, cheaper alternatives exist. Oracle Analytics Cloud provides a more cost-effective solution with scalability and fast performance, despite high costs for additional features. Users see it as offering reasonable long-term benefits.

To learn more, read our detailed Oracle Analytics Cloud vs. SAS Visual Analytics Report (Updated: November 2026).

Buyer's Guide

Oracle Analytics Cloud vs. SAS Visual Analytics

November 2026

Download the complete report

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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

Oracle Analytics Cloud

Ranking in Data Visualization

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th)

SAS Visual Analytics

Ranking in Data Visualization

16th

Average Rating

8.2

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Visualization category, the mindshare of Oracle Analytics Cloud is 2.1%, down from 3.2% compared to the previous year. The mindshare of SAS Visual Analytics is 1.7%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Oracle Analytics Cloud	2.1%
SAS Visual Analytics	1.7%
Other	96.2%

Data Visualization

Featured Reviews

DavidMalizia

Head Of Data And Ai at a tech services company with 11-50 employees

Data projects have grown rapidly and support complex analytics and quick dashboard delivery

Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

Read full review

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.

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

"It's great for consolidation and creating one source of truth."

"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."

"The technical support is excellent, and they respond quickly."

"Depending on the needs of business to business, but as far a visualizations are concerned, this is a good product."

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."

"Oracle Analytics Cloud's most valuable feature is its visualization."

"The advanced calculations by the tool are highly effective"

More Oracle Analytics Cloud pros

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

"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."

"The advantage of this tool is its big data handling in seconds and its predefined statistical methods for better data evaluation and understanding."

"It provided the capability to visualize a bunch of data in an organized way."

"SAS Visual Analytics is an excellent platform; the user interface is good, it has a good look and feel, it is simple to use, it integrates well with SAS making it simple and quick for developers, does not require a high level of skill but rather a medium level, and it is very easy and fast to learn so that people who don't know the product can work in a very autonomous manner after one week."

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

"Visual Analytics is very easy to use."

"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."

More SAS Visual Analytics pros

Cons

"This product does not support custom charts in the visualization."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The solution could be more flexible."

"Enterprise customers shy away from purchasing Oracle Analytics Cloud and prefer competing solutions from Tableau and Microsoft."

"When you implement the product on a small scale, it doesn't generate any ROI."

"As with most BI tools, the visualizations can be made much nicer."

"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."

"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

More Oracle Analytics Cloud cons

"SAS Visual Analytics was often prone to crashing. Modules with barely 20 to 30 GB datasets took a lot of time to load even after satisfying necessary software specifications (RAM, etc.)."

"Some capabilities are missing compared to Power BI, especially when working with spreadsheet types."

"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."

"The integration aspects of the solution could be improved."

"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."

"The graphics capabilities of SAS focus on SAS / BASE and SAS / Enterprise Guide and, without considering SAS / Visual Analytics is licensed part, they are pretty fair."

"In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI."

"It takes a lot of effort to stabilize. We need to change some hardware and configurations to stabilize the solution."

More SAS Visual Analytics cons

Pricing and Cost Advice

"A highly cost-effective solution"

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"We pay on a monthly basis and it is $10 per user each month."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"The tool's pricing is not unreasonable or non-competitive."

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

More Oracle Analytics Cloud pricing and cost advice

"It's approximately $114,000 US dollars per year."

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

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

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

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

"Licensing is simple."

"The product is quite expensive."

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

More SAS Visual Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

Manufacturing Company

Government

Construction Company

Financial Services Firm

11%

Outsourcing Company

10%

Construction Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

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

Questions from the Community

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

See all answers

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...

See all answers

What needs improvement with Oracle Analytics Cloud?

See all answers

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...

See all answers

Comparisons

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

TIBCO Spotfire vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Tableau Enterprise vs SAS Visual Analytics

Compared 13% of the time

Microsoft Power BI vs SAS Visual Analytics

Compared 8% of the time

Verix Limelight vs SAS Visual Analytics

Compared 5% of the time

Oracle OBIEE vs SAS Visual Analytics

Compared 5% of the time

SAP BusinessObjects Business Intelligence vs SAS Visual Analytics

Compared 4% of the time

More SAS Visual Analytics Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

October 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

SAS Visual Analytics

October 2026

Download SAS Visual Analytics product report

Also Known As

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

SAS BI

Overview

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

Oracle

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

Sample Customers

Sejong Hospital

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.

Buyer's Guide

Oracle Analytics Cloud vs. SAS Visual Analytics

November 2026

Free Report: Oracle Analytics Cloud vs. SAS Visual Analytics

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