RapidMiner vs SAS Visual Analytics comparison

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RapidMiner Logo
1,384 views|1,098 comparisons
95% willing to recommend
SAS Logo
3,388 views|2,758 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics.
To learn more, read our detailed Predictive Analytics Report (Updated: April 2024).
768,578 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
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive.""RapidMiner for Windows is an excellent graphical tool for data science.""The documentation for this solution is very good, where each operator is explained with how to use it.""What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool.""I've been using a lot of components from the Strategic Extension and Python Extension.""The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.""The best part of RapidMiner is efficiency.""We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."

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"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.""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.""It's quite easy to learn and to progress with SAS from an end-user perspective.""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.""Great for handling complex data models.""It provided the capability to visualize a bunch of data in an organized way.""The product is stable, reliable, and scalable."

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Cons
"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there.""RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.""In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner.""The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive.""In the Mexican or Latin American market, it's kind of pricey.""The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade.""A great product but confusing in some way with regard to the user interface and integration with other tools.""RapidMiner isn't cheap. It's a complete solution, but it's costly."

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"A bit more flexibility in the temperatization will be helpful.""In Brazil, there are few documents, courses, and other resources for studying and implementing the tool.""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 installation process can be a bit complex.""The licensing ends up being more expensive than other options.""The solution is a little weak at the front end.""It is not as mature as competitors such as Tableau and QlikView.""SAS Visual Analytics could be more user-friendly."

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Pricing and Cost Advice
  • "I used an educational license for this solution, which is available free of charge."
  • "Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."
  • "The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
  • "For the university, the cost of the solution is free for the students and teachers."
  • More RapidMiner 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 →

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    Questions from the Community
    Top Answer:What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool.
    Top Answer:I would appreciate improvements in automation and customization options to further streamline processes. Additionally, it can be challenging to structure formulas and access certain metrics, requiring… more »
    Top Answer: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… more »
    Top Answer:The product is expensive and needs the integration of more languages.
    Ranking
    2nd
    Views
    1,384
    Comparisons
    1,098
    Reviews
    5
    Average Words per Review
    346
    Rating
    8.2
    7th
    out of 70 in Data Visualization
    Views
    3,388
    Comparisons
    2,758
    Reviews
    8
    Average Words per Review
    393
    Rating
    8.5
    Comparisons
    Also Known As
    SAS BI
    Learn More
    Overview

    RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

    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.”

    Sample Customers
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    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.
    Top Industries
    REVIEWERS
    University46%
    Energy/Utilities Company8%
    Educational Organization8%
    Engineering Company8%
    VISITORS READING REVIEWS
    University11%
    Computer Software Company10%
    Educational Organization10%
    Manufacturing Company9%
    REVIEWERS
    Government21%
    Insurance Company16%
    Financial Services Firm16%
    Educational Organization5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    Company Size
    REVIEWERS
    Small Business50%
    Midsize Enterprise20%
    Large Enterprise30%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise67%
    REVIEWERS
    Small Business31%
    Midsize Enterprise20%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Predictive Analytics
    April 2024
    Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    RapidMiner is ranked 2nd in Predictive Analytics with 19 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. RapidMiner is rated 8.6, while SAS Visual Analytics is rated 8.0. The top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Microsoft Azure Machine Learning Studio, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.

    We monitor all Predictive Analytics 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.