Oracle Business Intelligence Cloud Service vs SAS Visual Analytics vs Tableau comparison

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3,388 views|2,758 comparisons
96% willing to recommend
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26,326 views|22,778 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Oracle Business Intelligence Cloud Service, SAS Visual Analytics, and Tableau based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools.
To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: April 2024).
768,740 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
"The solution effectively integrates with third-party products.""Initial setup was straightforward.""The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities.""Its ease of use and the ability to drill down into detail are the most valuable. Executive dashboarding features are the most commonly used ones."

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"It integrates well with SAS, making it simple and quick for developers.""The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed.""It provided the capability to visualize a bunch of data in an organized way.""I use Visual Analytics for enterprise reporting.""Great for handling complex data models.""The speed to display charts and react to users' choices is great.""The flexibility of the configuration is valuable to me.""Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."

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"The product’s performance is better than other tools.""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.""It is very easy to implement and to use.""I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it.""The product has the best features for analytical views and filters.""Better interaction and less time spent with end users.""The data blending capabilities is a huge factor for our team.""Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."

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Cons
"The dashboard could be improved and include additional features.""Quality of support varies.""In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience.""When looking at web-based BI or cloud-based BI vendors, there should be abilities for power users to build deep analysis. If they are not data science tools, they are not for power users."

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"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool.""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 solution is a little weak at the front end.""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.""The product is expensive and needs the integration of more languages.""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 solution should improve its graphics.""Colours used on report objects"

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"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment.""The performance could be better.""Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx.""Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved.""The data preparation could integrate better with Tableau.""Tableau is difficult to scale because of the cost, which makes it difficult to scale.""The charting is overly complex in comparison with Power BI's""When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."

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Pricing and Cost Advice
  • "Oracle products are always going to be on the higher end of your price scale. You have to kind of accept that going in."
  • "The solution's pricing is reasonable compared to other products."
  • More Oracle Business Intelligence Cloud Service 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 →

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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 valuable features are user-friendly and self-service tools. Users can define their reports based on available… more »
    Top Answer:The solution's pricing is reasonable compared to other products. We have all Oracle products at the hardware and… more »
    Top Answer:In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set… more »
    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 »
    Ranking
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    636
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    Average Words per Review
    777
    Rating
    7.5
    7th
    out of 70 in Data Visualization
    Views
    3,388
    Comparisons
    2,758
    Reviews
    8
    Average Words per Review
    393
    Rating
    8.5
    Views
    26,326
    Comparisons
    22,778
    Reviews
    14
    Average Words per Review
    534
    Rating
    8.5
    Comparisons
    Also Known As
    SAS BI
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    Oracle Business Intelligence Cloud Service enables all users to tap into the most pertinent data, whenever and wherever they need it. With BI Cloud Service, robust analysis is accessible to everyone, from individuals to large workgroups, across the enterprise.

    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.

    Sample Customers
    Grant Thornton, FORTH, Anthem
    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
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Comms Service Provider14%
    Computer Software Company13%
    Healthcare Company7%
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Transportation Company5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    REVIEWERS
    Computer Software Company12%
    Financial Services Firm12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise14%
    Large Enterprise73%
    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 Enterprise39%
    Large Enterprise47%
    Buyer's Guide
    BI (Business Intelligence) Tools
    April 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
    768,740 professionals have used our research since 2012.