Advantages and Disadvantages of Tableau

As we are talking about Tableau there is some benefits and drawback also. So here we are discuss some advantages and disadvantages of Tableau.

Followings are:-


  • Tableau is a data visualization tool that allows for sophisticated data processing, data integrating, and data warehousing in order to create visually appealing data visualizations.
  • Developers can build a powerful interactive visual using Tableau’s drag-and-drop functionality.
  • Tableau offers a wide range of visualization options, which improves the customer experience. Tableau is much easier to learn than Python. Those who are unfamiliar with programming could also learn very quickly Tableau.
  • Tableau is capable of managing huge amounts of rows of data with simplicity. A massive quantity of data can be used to generate various types of visualisation without interfering with the efficiency of the control panels. In addition, there is a ‘live’ alternative in Tableau in which the visitor can communicate data from different sources such as SQL, etc.
  • Users can use Python or R to prevent quality issues and involve multiple table analyses in Tableau. By improving information cleansing activities with bundles, the customer can reduce the load on the web application by using Python Script. Python, on the other hand, is not a native code editor supported by Tableau. You can therefore import several of the packages or visual effects.
  • Tableau Dashboard has a service quality on customer satisfaction functionality that enables users to create the dashboard for unique devices such as mobile phones or laptop computers. Tableau automatically detects which platform the user is using to display the report and makes changes to ensure that the correct report is placed in appropriate machine.

Disadvantages of Tableau

  • Tableau does not support automatic report scheduling. As a result, whenever the customer requires to update the information inside the back end, a few manual initiative has always been needed.
  • Many tools, including such Power BI, allow a developers to develop custom visual effects which can be seamlessly migrated into Tableau, allowing any innovative visual effects to be recreated before being extracted, but Tableau would not be a fully open tool.
  • Tableau’s formatting, as well as its restricted 16-column table, are highly inconvenient for customers. Furthermore, there really is no way for customers to actively integrate the same template in various disciplines. Users must do this manual process for each, which takes a long time.
  • Tableau parameters are fixed, but it always chooses a specific value as a variable. So when data changes, these parameters must be continually updated each time. Because there’s no other alternative for customers to simplify measurement updates.
  • If somehow the Tableau development firm display resolution differs from the customer screen resolution, the dashboard template is divided up.

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