Small businesses with limited financial and developer resources should start out with Power BI, especially if they already invest in Microsoft products. Power BI wins for ease of use, but Tableau wins in speed and capabilities. Those with data analysis experience will have less trouble cleaning and transforming data into visualizations, but those just getting their feet wet will likely feel overwhelmed with the uphill battle to learn some data science before making visualizations. Tableau is similarly powerful, but the interface isn’t quite as intuitive, which makes it a more difficult to use and learn. It’s a great addition to any team that needs data analysis but without getting a degree in data analysis first. The interface relies more on drag and drop and intuitive features to help teams build their visualizations. Power BI is built for the common stakeholder, not necessarily a data analyst. When comparing Microsoft Power BI vs Tableau, you really have to think about who will be using these tools. This feature can be useful to look at seasonal or monthly trends, regardless of year. For example, you can easily group all Q4’s, regardless of year. Tableau has discrete or continuous dates. In Power BI you can group by year, quarter or month. Overall display and functionality are better in Power BI Desktop.īasic data modeling (joins/relationships, UNION, ALL, etc.) can be done in Tableau Desktop’s Data Source tab, but it is limited. In Power BI there is an option to drag-and-drop, to build joins (relationships) under the Modeling tab or by choosing the data diagram icon (on the far left of the Power BI Desktop screen). Tableau’s Ask Data uses natural language to ask questions about your data. The Q&A feature is available in both Power BI Desktop and Power BI service. Power BI’s Q&A also provides the ability to type natural language questions about a dataset and get responses in the form of visualizations. Tableau provides dashboard actions that can filter data in multiple ways. You can also set drill-through filters in Power BI. You can employ slicers and use filter icons on visualizations. Power BI offers multiple ways to add filters to reports or pages. The downside is that Tableau Prep is a separate tool from Tableau Desktop. Or, you can use Tableau Prep for more complex transformations. In Tableau you can use the Data Source tab or calculated fields to do limited transformations. You can transform data before loading it by clicking Get Data on the Power BI Desktop, selecting a data source and choosing Transform. Power BI provides different ways to transform data. Python machine learning capacities are inbuilt with Tableau, making it efficient for performing ML operations over the datasets. Power BI is integrated with Microsoft Azure, it helps in analyzing the data and understanding the trends and patterns of the product/business. Tableau is the business intelligence and data analytics tool for generating reports and data visualization with high flexibility. Power BI is the business data analytics tool to analyze the business and derive insights from it.
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