RapidMiner vs Tableau comparison

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RapidMiner Logo
1,290 views|1,061 comparisons
95% willing to recommend
Tableau Logo
26,131 views|22,454 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between RapidMiner and Tableau based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics.
To learn more, read our detailed Predictive Analytics Report (Updated: May 2024).
772,649 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
"RapidMiner is very easy to use.""The solution is stable.""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.""I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.""It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry.""Using the GUI, I can have models and algorithms drag and drop nodes.""The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

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"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.""Tableau is easy to use.""It is very easy to implement and to use.""Tableau has improved my organization in a variety of ways, one of its uses being that of data analysis. A feature I have found most valuable is the ease of use and straightforwardness, in addition to the flexibility of Tableau.""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.""It has made the reporting stage simple and enabled us to focus mainly on the ETL part""It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it.""Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience."

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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.""I would appreciate improvements in automation and customization options to further streamline processes.""RapidMiner can improve deep learning by enhancing the features.""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.""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.""The price of this solution should be improved."

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"It needs more ETL capabilities, to be able to address the end-to-end BI need.""Tableau could be improved by introducing a data manipulation layer within the tool itself. Currently, data manipulations require using additional tools like Alteryx. If Tableau included these capabilities, it would reduce the need for external dependencies. The tool gets slower when we feed huge amounts of data.""Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited.""To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms.""Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community.""Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation.""I would like to be able to set the parameters in a more specific manner.""I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller."

More Tableau Cons →

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 →

  • "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:RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the data… more »
    Top Answer:One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this… more »
    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
    2nd
    Views
    1,290
    Comparisons
    1,061
    Reviews
    5
    Average Words per Review
    346
    Rating
    8.2
    Views
    26,131
    Comparisons
    22,454
    Reviews
    13
    Average Words per Review
    537
    Rating
    8.7
    Comparisons
    KNIME logo
    Compared 50% of the time.
    Alteryx logo
    Compared 12% of the time.
    Dataiku logo
    Compared 11% of the time.
    IBM SPSS Modeler logo
    Compared 4% of the time.
    Microsoft Power BI logo
    Compared 19% of the time.
    Domo logo
    Compared 10% of the time.
    Amazon QuickSight logo
    Compared 10% of the time.
    SAS Visual Analytics logo
    Compared 5% of the time.
    Databricks logo
    Compared 4% of the time.
    Also Known As
    Tableau Desktop, Tableau Server, Tableau Online
    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.

    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
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    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
    University40%
    Energy/Utilities Company7%
    Educational Organization7%
    Engineering Company7%
    VISITORS READING REVIEWS
    University11%
    Computer Software Company11%
    Educational Organization10%
    Manufacturing Company9%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm12%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business48%
    Midsize Enterprise17%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise66%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise40%
    Large Enterprise46%
    Buyer's Guide
    Predictive Analytics
    May 2024
    Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. RapidMiner is rated 8.6, while Tableau is rated 8.4. The top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". RapidMiner is most compared with KNIME, Alteryx, Dataiku, Microsoft Azure Machine Learning Studio and IBM SPSS Modeler, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, SAS Visual Analytics and Databricks.

    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.