SAS Visual Analytics vs Tableau vs XLCubed comparison

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Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization.
To learn more, read our detailed Data Visualization Report (Updated: April 2024).
769,976 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data.""The technical support services are good.""The flexibility of the configuration is valuable to me.""The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed.""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.""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.""It integrates well with SAS, making it simple and quick for developers.""I use Visual Analytics for enterprise reporting."

More SAS Visual Analytics Pros →

"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been.""We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used.""Technical support has been responsive.""From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like.""Our customers love the visual capabilities on top of it and the ability to explain and get the required data. There is no other product like Tableau in the business intelligence and analytics space.""The most valuable feature is the interface, which is user-friendly and intuitive.""This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases).""It allows us to basically understand and evaluate our numbers in an expedient manner."

More Tableau Pros →

"Great capability, performance, flexibility, visuals, and the solution is also very cost effective.""I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."

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Cons
"It is not as mature as competitors such as Tableau and QlikView.""SAS Visual Analytics could be more user-friendly.""There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance.""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 licensing ends up being more expensive than other options.""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.""The installation process can be a bit complex.""The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."

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"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great.""When it comes to large datasets, the data should be extracted faster.""We would like a report model, because currently there is no schema that we can create in the tool.""The performance could be better.""Licensing and pricing options could be made better so that more users would be able to use it.""If they could add global filters in the stories, more chart types, and default colours, it would help.""An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization.""Tableau is a company that does not respect partners."

More Tableau Cons →

"Would like the ability to be able to benchmark.""There should be a better or an easier way to establish that connection to external sources."

More XLCubed Cons →

Pricing and Cost Advice
  • "Licensing is simple."
  • "$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."
  • "The product is expensive."
  • More SAS Visual Analytics Pricing and Cost Advice →

  • "For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
  • "Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
  • "Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
  • "Buy 50 at a time. Project your use base every three months, and project your requirements forward."
  • "Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
  • "I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
  • "The cost is high."
  • "Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
  • More Tableau Pricing and Cost Advice →

  • "14,000 Pounds per year for licensing."
  • "I am still using the two-week trial, but at first sight, the price is reasonable."
  • More XLCubed Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer:The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced… more »
    Top Answer:The product is expensive and needs the integration of more languages.
    Top Answer:It depends on the Data architecture and the complexity of your requirement Some great tools in the market are Qlik… more »
    Top Answer:Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been… 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… more »
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    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 is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights. 

    Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

    Tableau has many valuable key features:

    • Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
    • Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards. 
    • Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions. 
    • Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data. 
    • Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries. 
    • Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

    Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

    Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

    Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.

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    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.
    Marshalls Ltd, BP Exploration and Production, Thorntons, Ted Baker, Bristol-Myers, Rank Group, ING Bank Genve, Cargill Value Investment, Chloride Power, Auchan, Erste, UEFA, Novartis, Porsche Informatik, Raiffeisen Bank International
    Top Industries
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Transportation Company5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company12%
    Healthcare Company7%
    University7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company13%
    Comms Service Provider7%
    Energy/Utilities Company6%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    Data Visualization
    April 2024
    Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
    769,976 professionals have used our research since 2012.