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SAS Visual Analytics vs Tableau comparison

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Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAS Visual Analytics vs. Tableau report (Updated: September 2022).
633,184 professionals have used our research since 2012.
Q&A Highlights
Question: Does Tableau have any limitations compared to SAS Visual Analytics?
Answer: There are platforms available that enable bridge between technologies. Tableau/Qlik is great visualization from performance and user interface as compared to SAS - #askginie.ai
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.""Data handling is one of the best features of SAS Visual Analytics.""It's quite easy to learn and to progress with SAS from an end-user perspective.""It provided the capability to visualize a bunch of data in an organized way.""We've found the product to be stable and reliable.""It integrates well with SAS, making it simple and quick for developers.""Great for handling complex data models.""It's a stable, reliable product."

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"The ease of presenting findings is very helpful.""The ability to create complex calculations.""Its ease of use and ability to convert drag and drop gestures into queries.""The solution has a lot of customization when comparing to Microsoft BI.""It is easy to use, and it can handle a large amount of data.""Business insights are shared across various departments.""The solution makes for very productive and really informative decision making. It can lead the whole business and build a strategy across whole working departments.""One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."

More Tableau Pros →

Cons
"I haven't come across any missing features.""There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else.""The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive.""The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy.""There is a need for coding when it comes to digital reporting which can be intimidating.""There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance.""The solution is a little weak at the front end.""A bit more flexibility in the temperatization will be helpful."

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"Other tools are more competitively priced.""In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI.""I think Tableau could be improved with cheaper or more flexible licensing, though this is a generic improvement and applies for any product. It would be better if they had more flexible payment and licensing plans so that they could suit small- and mid-sized organizations.""The customization in the front end is a bit difficult.""Whenever it comes to specialized visualization, Tableau is an absolute failure.""What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features.""From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases.""I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."

More Tableau Cons →

Pricing and Cost Advice
  • "$10,000 per annum for an enterprise license."
  • "The cost of the solution can be expensive. There is an additional cost for users."
  • "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."
  • "It's approximately $114,000 US dollars per year."
  • "It was licensed for corporate use, and its licensing was on a yearly basis."
  • More SAS Visual Analytics Pricing and Cost Advice →

  • "The cost of the solution should be improved."
  • "It is reasonable and cheap as compared to other major tools. It has a good price, and people go for it because of its pricing."
  • "Pricing is not bad. It's competitive."
  • "At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."
  • "The professional version of Tableau is quite expensive."
  • "It is a bit difficult for some people when they hear $70.00 per month, as some solutions are available for less than $10.00 or for free."
  • "The solution is very expensive. If you have many users then it is going to cost your company a lot of money."
  • "The price of Tableau is high, although there are different types of licenses available."
  • More Tableau Pricing and Cost Advice →

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    Comparison Review
    Guillermo (Bill) Cabiro
    I do use both Tableau and QlikView. Although very different, I really like both solutions. They belong to the new BI generation known as Interactive Visual Analytics. In my opinion, QlikView has a more intuitive interface for regular users or executives that are not technical experts but the development side is a little more complex. Up to version 12 QlikView did not provide drag & drop features. If a user wanted to see something not included in the application the new object had to be created by a power user or developer because Qlikview's scripting has somewhat of a learning curve. On the positive side, QlikView's scripting is a great asset as it functions as an ETL allowing the integration of hundreds of different data sources into the same visual app. Another feature that’s extremely useful is Qlik’s proprietary Associative Model that allows the users to visualize data relationships that exist as well as those that do not. Tableau on the other hand is a lot easier to use for developers, analysts or power users who need to connect, manipulate and visualize data rather quickly. While this makes Tableau a better fit for the more analytical crowd, it may not be as appealing or intuitive to the regular or casual business users as QlikView is. Tableau has full pivot, drag & drop and drill down capabilities that are great for developers or power users. They can rotate measures and dimensions and graph them instantly using visualization best practices as suggested by… Read more →
    Answers from the Community
    Kim Nachazel
    Hessa Motah - PeerSpot reviewerHessa Motah
    User

    It totally depends on what SAS licensing are in place. Tableau provides integration with R as far as I know.

    reviewer1268517 - PeerSpot reviewerreviewer1268517 (Head of BI at a tech services company with 51-200 employees)
    Real User

    These products all do more or less the same things but often in a very different way. The differences that I am able to report are mainly:
    -Look and feel and here Tableau is definitely superior.
    -Usability, both on the user and developer side and here the products are not very far apart, I would say Tableau a little better.
    -Managed data volumes and here SAS is unmatched (in Unicredit I have seen an installation that serves about 11000 users).

    RaviLagu - PeerSpot reviewerRaviLagu
    Real User

    Tableau is a great tool for visual analytics but when it comes to statistical analysis, it has limited features. You can find basic descriptive statistics like mean, median, mode, SD, Skewness, Kurtosis, etc but for advanced statistical analysis, you can have machine learning models too along with advanced forecasting. If your work does not involve advanced statistical analysis then Tableau is a great tool for basic statistical analysis. In case you have further doubts, please feel free to ask.

    Questions from the Community
    Top Answer:Great for handling complex data models.
    Top Answer:I don't directly deal with licensing. I can't speak to the exact price of the product.
    Top Answer:The solution is a little weak at the front end.
    Top Answer:It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos… more »
    Top Answer:Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it… more »
    Top Answer:Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies… more »
    Ranking
    4th
    out of 58 in Data Visualization
    Views
    8,565
    Comparisons
    6,894
    Reviews
    13
    Average Words per Review
    550
    Rating
    8.3
    1st
    out of 58 in Data Visualization
    Views
    41,297
    Comparisons
    32,367
    Reviews
    98
    Average Words per Review
    592
    Rating
    8.1
    Comparisons
    Also Known As
    SAS BI
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.

    SAS Visual Analytics Features

    SAS Visual Analytics has many valuable key features. Some of the most useful ones include:

    • Data
    • Interactive data discovery
    • Augmented analytics
    • Chat-enabled analytics
    • Sharing and collaboration
    • Visual analytics apps
    • Embedded insights
    • Location analytics
    • Security and administration
    • In-memory engine

    SAS Visual Analytics Benefits

    There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:

    • Machine learning and natural language: SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand and explain. This enables you to find out why something happened, examine all options, and uncover opportunities hidden deep in your data.
    • Easy and efficient reporting: With SAS Visual Analytics, you can create interactive reports and dashboards so you can quickly summarize key performance metrics and share them via the web and mobile devices.
    • Easy to use: SAS Visual Analytics was designed to be easy to use. Its easy-to-use predictive analytics enables even business analysts to assess possible outcomes, which also helps organizations make smarter, data-driven decisions.
    • Self-service data: Self-service data preparation gives users the ability to import their own data, join tables, create calculated columns, apply data quality functions, and more. In turn, the solution empowers users to access, combine, clean, and prepare their own data in an agile way, which helps facilitate faster, broader adoption of analytics for your entire organization.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.

    A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.

    PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.

    Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”

    Tableau helps people and organizations become more data-driven as the trusted leader in analytics.

    The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.

    People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation

    Evaluation Guide: How to choose the right BI & analytics platform

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    Offer
    Learn more about SAS Visual Analytics
    Learn more about Tableau
    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.
    Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
    Top Industries
    REVIEWERS
    Insurance Company19%
    Financial Services Firm19%
    Government13%
    Retailer6%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm14%
    Government11%
    Comms Service Provider10%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company10%
    Healthcare Company8%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm14%
    Comms Service Provider9%
    Government7%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    SAS Visual Analytics vs. Tableau
    September 2022
    Find out what your peers are saying about SAS Visual Analytics vs. Tableau and other solutions. Updated: September 2022.
    633,184 professionals have used our research since 2012.

    SAS Visual Analytics is ranked 4th in Data Visualization with 13 reviews while Tableau is ranked 1st in Data Visualization with 102 reviews. SAS Visual Analytics is rated 8.4, while Tableau is rated 8.2. The top reviewer of SAS Visual Analytics writes "Easy to learn and use with good scalability potential". On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". SAS Visual Analytics is most compared with Microsoft BI, Databricks, Qlik Sense, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas Tableau is most compared with Microsoft BI, Amazon QuickSight, SAP Analytics Cloud, MicroStrategy and Qlik Sense. See our SAS Visual Analytics vs. Tableau report.

    See our list of best Data Visualization vendors.

    We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.