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 8.7. 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

6,955 Views
2,921 Comparison Views

77% willing to recommend

SAS Visual Analytics

Read 41 SAS Visual Analytics reviews

5,742 Views
2,354 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: September 2026).

Buyer's Guide

Oracle Analytics Cloud vs. SAS Visual Analytics

September 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 October 2026, in the Data Visualization category, the mindshare of Oracle Analytics Cloud is 2.1%, down from 3.5% compared to the previous year. The mindshare of SAS Visual Analytics is 1.7%, down from 3.4% 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.

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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."

"This solution is not that well known by clients but is a great product to use."

"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."

"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."

"The most valuable features of the solution are dashboarding and data visualization."

"The ability to quickly search for and access relevant data is crucial."

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

"The product is easily customized."

More Oracle Analytics Cloud pros

"Data handling is one of the best features of SAS Visual Analytics."

"SAS VA is an amazing tool for handling complex data models."

"Visual Analytics is very easy to use."

"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."

"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."

"SAS in my opinion is an excellent BI solution if you have the money."

"Overall, I think SAS VA is a great software for interactive reporting, as it is very user friendly and allows people with no statistical or computing background to learn quickly to analyse data across the company."

"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."

More SAS Visual Analytics pros

Cons

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"This solution could be more adaptable in its application."

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

"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."

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

"The scalability has room for improvement."

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

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

More Oracle Analytics Cloud cons

"Many things are missing, including Infomaps, Facebook connection, and better objects, and forecasting, auto-charting, and correlation are only available in exploration but should be available in reports."

"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."

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

"It will be better if SAS can accommodate survey data as some organisations would like to load their survey results and analyse in SAS."

"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.)."

"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."

"The solution is a little weak at the front end."

More SAS Visual Analytics cons

Pricing and Cost Advice

"It is an expensive platform."

"I would rate it a five out of five in terms of the value received for the price charge."

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

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

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

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"A highly cost-effective solution"

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

More Oracle Analytics Cloud pricing and cost advice

"Licensing is simple."

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

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

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

"The product is expensive."

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

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

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

More SAS Visual Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

Government

Manufacturing Company

Construction Company

Financial Services Firm

12%

Outsourcing Company

10%

Construction Company

10%

Government

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

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 5% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Tableau Enterprise vs SAS Visual Analytics

Compared 12% of the time

Microsoft Power BI vs SAS Visual Analytics

Compared 8% 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

Verix Limelight vs SAS Visual Analytics

Compared 5% 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

September 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

September 2026

Free Report: Oracle Analytics Cloud vs. SAS Visual Analytics

Find out what your peers are saying about Oracle Analytics Cloud vs. SAS Visual Analytics and other solutions. Updated: September 2026.

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