SAP BusinessObjects Business Intelligence Platform vs SAS Visual Analytics vs Tableau comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAP BusinessObjects Business Intelligence Platform, SAS Visual Analytics, and Tableau based on real PeerSpot user reviews.

Find out what your peers are saying about Oracle, SAP, IBM and others in Legacy BI Tools.
To learn more, read our detailed IBM Cognos vs. SAP BusinessObjects Business Intelligence Platform Report (Updated: March 2024).
765,234 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 development using SAP BusinessObjects Business Intelligence Platform is very good.""The ability to merge dimensions in a report is great.""The solution is stable.""This reporting and broadcasting solution has a lot of flexibilities and can connect to multiple source systems.""The setup is pretty easy. It's not hard at all.""The scheduling and publication features are very useful.""Business analytics are the most valuable features of this solution; I don't have experience with the other functional features offered.""SAP BusinessObjects Business Intelligence Platform's most valuable features are it has a great presentation layer. We can develop the presentation layer with drag-and-drop capabilities. For end-users and for our interns in the company can create reports and do their data analysis processes or works by using the objects that we created on the presentation layer by themselves."

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"Simplifies report designs and quickly displays tables and graphs.""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.""We've found the product to be stable and reliable.""Data handling is one of the best features of SAS Visual Analytics.""The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed.""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.""It's quite easy to learn and to progress with SAS from an end-user perspective."

More SAS Visual Analytics Pros →

"The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it.""The data blending capabilities is a huge factor for our team.""I really like the interactivity of the dashboards.""The Web Editing capabilities allow us to grant end users enough capabilities for them to do self-serve discovery without the added cost of needing to get everyone desktop licenses.""Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us.""It gives us a new dimension to the way that we analyse our data.""Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on.""There are already connectors to almost every single major database and service that you can possibly think of."

More Tableau Pros →

Cons
"The solution is not good for self-services, they can improve in this area.""The solution could be less expensive. It's a bit pricey now.""Its price should be better. It is expensive and not cost-effective. It should also be improved in terms of end-user experience. It requires further improvements for usability and ease of use. It should have more dashboarding metrics and much faster integration with ERP so that when you double click, you can instantly see the scenario-based result.""I would like to see their data visualization products enhanced and made more robust and easier to implement.""The SAP BusinessObjects Business Intelligence Platform has always struggled with dashboarding.""​This product could be improved with Cloud Integrations and Predictive Analytics functions integration.""SAP BusinessObjects Business Intelligence Platform should be made easier for the end-users and the performance could be improved.""It would be good if they could integrate the possibility for end users to create end models for themselves that they can use, especially for site operators, and if they could provide the end user not only the self-service BI, but also the self-service analytics, based on a predefined model, the same way that Oracle did."

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"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help.""The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive.""The solution is a little weak at the front end.""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 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 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.""A bit more flexibility in the temperatization will be helpful.""Colours used on report objects"

More SAS Visual Analytics Cons →

"The data processing in Tableau is pathetic compared to Qlik.""We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable.""When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers.""With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved.""It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager.""The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet.""The solution could improve the scalability, it is difficult to make changes.""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
  • "Just work with SAP to make sure you have enough licenses but don't go overboard."
  • "​It is not an expensive platform. The licensing is for a package of users starting at 10 users."
  • "It has an option of a Cloud Platform (SAP Analytics Cloud) which has a lower price than the on-premise platform, and you can buy individual licences per user.​"
  • "Depending on your size, try to stick with SAP BusinessObjects BI Edge. Most people tend to overthink the licensing. Remember that one concurrent user means that one person can be performing a task at a given time. That does not mean that only one user can be on the system at a time, it means that only one person can be refreshing a report or designing a dashboard. There are tons of ways you can access your data or reports without consuming a license. I've seen cases where five concurrent licenses support thousands of users."
  • "There's no additional charge for a Development environment license, so build an additional development server."
  • "Its price is fair."
  • "It is not cost-effective. It is expensive."
  • "I have always found SAP BI to be expensive. It is expensive even when you compare SAP BI Cloud with Microsoft Power BI. Power BI is probably around $9.99 per month, and the cheapest SAP BI is around $20, which is double. In terms of price, Power BI is definitely a lot better. If you have budget issues, you may want to go for Power BI."
  • More SAP BusinessObjects Business Intelligence Platform 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:There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would… 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:What I like the most about SAP BusinessObjects BI Platform is that it has significantly improved our decision-making… 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: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 »
    Top Answer:The platform's most important feature is predictive analysis.
    Ranking
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    Also Known As
    SAP BusinessObjects BI Platform, SAP BusinessObjects, Business Objects
    SAS BI
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    SAP BusinessObjects Business Intelligence Platform is a versatile and flexible solution for reporting and dashboards, focusing on analytics and ad hoc reporting. It can be deployed on-premise or in the cloud. The solution includes tools such as Web Intelligence, Crystal Reports, SAP Lumira, and Analytical Cloud and is primarily used for comprehensive business intelligence reporting.

    The most valuable features include excellent reporting features, good technical support, scalability, and the ability to translate database data into business language. The solution has helped organizations by providing analytics, monitoring KPIs, and making important decisions as a financial business.

    SAP BusinessObjects Business Intelligence Key Features

    • Central management: Access all your BI from a single, central launchpad that can be customized to meet user-specific needs. The launchpad provides business users with access to all their BI tools, reports, notifications, and applications in a single place. This includes the ability to launch SAP Analytics Cloud.

    • Data visualization and analytics: Create powerful visualizations, dashboards, and applications to assess risk, improve efficiency, identify opportunities, and enable users to analyze developments and data. Business insights can be shared with colleagues across enterprises.

    • Integration with Microsoft Office: Integrate with SAP Business Warehouse and SAP HANA to power real-time analytics. For large-scale data analysis, you can integrate with Microsoft Excel to discover in-depth business insights and forecasts. Data analytics information can also be embedded into Microsoft PowerPoint presentations.

    • Cloud support: Extend and expand your BI on the cloud. SAP Analytics Cloud connects your BI to the cloud and offers enterprise planning and advanced analytics from a single online solution.

    Reviews from Real Users

    SAP BusinessObjects BI stands out among its competitors for a number of reasons. Several major ones are its user-friendly dashboard, its impressive reporting and analytic features, and its ability to integrate with multiple solutions.

    A managing partner at a tech services company writes, "One of the most valuable features of SAP BusinessObjects is that it's not a dashboarding solution. It's a real product. You can create operational reports and publish it to anyone. You can create schedules. You can create a Universe, semantic layers. There's also a security configuration. It's a huge product, so if there is a business need, SAP BusinessObjects can cover it."

    An associate manager at a consultancy notes, "It provides flexibility for creating reports. It is very good for creating highly complex reports. I like this solution because when I buy BusinessObjects, it comes with many components, such as reporting, dashboard, and data visualization tools. Its performance is good. It is running on top of SAP BW and SAP HANA."

    A manager of data analytics and interfaces at a healthcare company says, "It has got great flexibility. As a reporting tool, it has a great deal of flexibility for numerous data resources that you can bring into it. It allows you to write your SQL query directly within the product. It has great visualization. 

    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
    SRAM, Kennametal, Fairfax Water, British American Tobacco, Velux, and FedEx.
    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
    Manufacturing Company18%
    Healthcare Company11%
    Energy/Utilities Company9%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company12%
    Manufacturing Company9%
    Government8%
    REVIEWERS
    Government21%
    Insurance Company16%
    Financial Services Firm16%
    Pharma/Biotech Company5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    Insurance Company6%
    REVIEWERS
    Computer Software Company12%
    Financial Services Firm12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization34%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise16%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business31%
    Midsize Enterprise20%
    Large Enterprise49%
    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%