#Tableau prep vs desktop series#

Tableau Prep: Data processing or analyzing in Tableau Prep would be faster because it uses its hyper data engine whenever possible. But, in comparison to Tableau Prep, Alteryx doesnвЂ™t provide an option to input вЂњtdeвЂќ files.

Tableau Prep: At present, Tableau Prep provides the feature to connect to 18 different file/database types including вЂњtdeвЂќ files as well and can generate the output in вЂњtdeвЂќ, вЂњhyperвЂќ or вЂњcsvвЂќ format onlyДЄlteryx: Alteryx provides the feature to connect almost all type of files or databases ( more than 34 types). Learn advanced techniques with Tableau for Data Science Data Connections: Tableau is now advancing towards a full-service tool with Tableau Prep. The go-to tool for many analysts has been Alteryx. My biggest headache with Tableau was the need to pre-process the data in a separate tool prior to Tableau visualization. Tableau Prep has jumped into that data prep and data cleansing market with a boom. These tools are available in the tool bar under вЂњTime SeriesвЂќ There are various types of tool available like вЂњARIMAвЂќ, вЂњTS ForecastвЂќ, вЂњTS PlotвЂќ etc.

#Tableau prep vs desktop series#

But, on the other side, Alteryx provides a lot of different tools to perform time series analysis. Time Series Analysis: The major disadvantage of using tableau desktop or tableau prep is that it doesnвЂ™t provide any feature to perform time series analysis.

In Alteryx, a user can use a вЂњTransposeвЂќ tool to pivot the data in the required format.ДЄ feature that is present only Alteryx but not in Tableau Prep For example, if the different yearsвЂ™ data is present in different columns, in that case, using pivot option, a user can transform the data and put the years in the rows instead of in columns.Tableau prep also provides a direct option to вЂњpivotвЂќ the data with the required fields Pivot for database tables: There can be different used cases where the user needs to pivot the data. In the example below, Sales and Profit is grouped by Year and Country Using this tool, users can select the required fields and measures for which they would like to do aggregation. In the example below Discount, Profit, Quantity, and Sales is grouped by Year of Sales, Region and City.ДЄlteryx, also provides a direct tool named as вЂњSummarizeвЂќ, which performs all types of aggregation. A user can add a step to aggregate the data and simply drag and drop the required field for aggregation. Tableau prep provides an option to do a quick aggregation of data to store in the data source or tableau data extract (tde). In Alteryx, вЂњBrowseвЂќ tool is used to preview the data.

This feature provides the easy way to validate the data after the transformation stepДЄlteryx, also provides the option to preview and validate the data after performing any type of transformation. This can be very useful feature for evaluating join conditions and validating data.ДЇeatures that are common to both вЂњTableau PrepвЂќ and вЂњAlteryxвЂќДata preview:В In Tableau Prep, after performing the data transformation step, the user can use the вЂњPreview in Tableau DesktopвЂќ option to look at the data in tableau desktop. In tableau prep, a user gets вЂњSummary of Join ResultsвЂќ option that shows unmatched values. When we do join or union in Tableau, the result is shown in the bottom Data Source tabД«ut, often it happens that the user wants to see that based on the join conditions what data is joined or what didnвЂ™t. Join and Union: As we all know, Tableau Desktop provides the ability to the user to join or union multiple data sources directly.

Objective: In this article to do a comparison between Tableau Prep and Alteryx, I am going to mention the features of both Tableau Prep and Alteryx in the following ways:ДЎ.)A feature that is present only Tableau Prep but not in AlteryxДЈ.)A feature that is available in Alteryx but not in Tableau Prep A feature that is present only Tableau Prep but not in Alteryx