Tableau V/s Power BI – Which one is better?

Power BI and Tableau are two important Business Intelligence (BI) technologies for the collection, integration, analysis, and presentation of business information. They help you perform data analysis, data manipulation, and data visualization to make sense of business data and draw insights. Often learners, practitioners, and researchers come into a dilemma to decide which one of the tools they should learn or use in their work. Let's jump on to the significant differences between Power and Tableau and help you overcome some of the challenges. Power BI is a business analytics service provided by Microsoft that can analyze and visualize data, extract insights, and share it across various departments within your organization. While Tableau is a powerful Business Intelligence tool that manages the data flow and turns data into actionable information. It can create a wide range of different visualization to present the data and showcase insights interactively.

Tableau can handle large amounts of data relatively easily, offers more visualization capabilities, has customizable dashboards, has a larger community, is slightly more complicated to use, requires R programming language knowledge, and is slightly more expensive. On the other hand, Power BI offers pre-built dashboards, real-time dashboard updates; new features added frequently, extensive database connectivity capabilities, quick deployment, and hybrid configuration and are also backed with AI and ML.

While there are fans of both Tableau and Power BI constantly bickering about which one is better, it depends on the user's needs. While Power BI is a more powerful and cost-friendly tool, Tableau offers ease of use and more visualization options.

Tableau and Power BI are both data visualization and business intelligence tools. You can extract data with both tools, visualize the data, analyze it, and turn it into a piece of actionable information. In this article, you will learn what both Power BI and Tableau are in detail. I will also create a factual comparison between the two so you can identify which of them you should use for your project.

What is Tableau?

Tableau became popular in the early 2000s. It is the leading data visualization and business intelligence tool for companies that want to be data-driven. Tableau can integrate with and get data from a wide variety of sources like Microsoft Excel, Microsoft Access, and Google Analytics. It can even integrate with files like JSON, text, statistical and spatial files.

Tableau has great features such as:

·         no code data query

·         drag and drop

·         real-time analysis

·         data filtering

·         mobile view

·         data connectors

·         text editor

·         dashboards

·         team members collaboration, and tons more.

What is Power BI?

Power BI is a suite of data analysis and visualization tools and services that helps you convert data into visually interactive reports. It was made available to the public in 2011. Power BI integrates with various data sources such as Excel workbook, SQL server, PostgreSQL, and Microsoft Access. You can then turn this data into any kind of visualization that pleases you. You can also enter your data manually.

The strong features you have access to with Power BI include:

·         smooth integration with Microsoft products

·         data refreshes

·         mobile app

·         map creation

·         a wide variety of charts

·         custom charts with R and Python

·         integration with Azure machine learning

Features of Power BI and Tableau

There is a wide range of features that Power BI and Tableau provide us. Let us go through them.

Power BI’s features-

Customizable dashboards: In Power BI, a typical dashboard contains numerous tiles and visualizations. A tile is a single graphic or visual that has been made after data has been analyzed. One or more of these Power BI dashboards are combined to create a Power BI report.

Power BI Service: It allows users to share reports or dashboards with other users on both cloud and on-premise servers. With Power BI Service, we can add more connectors, build workspaces where our partners can collaborate on any reports and dashboards, and enable AI tools like Power Query for a smooth data flow, making Power BI projects easier for users.

Data Analysis Expressions (DAX) functions: These are a set of preset codes in Power BI that are used to execute actions on data. The Power BI function library now has over 200 DAX functions that may be utilized to improve the efficiency of business data analysis.

Question box in natural language: Power Q&A is without a doubt one of Power BI’s most useful tools. By asking questions in natural language, Power Q&A allows users to search for data, alter it, and generate graphics. Users must double-click on the dashboard, write down the variable they wish to add, and then select the desired graph or chart name. Power Q&A will then construct the graphic.

Tableau’s features-

Dashboards: Tableau dashboards can exhibit data in the form of stories and offer a range of filters, styles, and formats. They let users apply a custom filter and copy it or its elements from one report to the next.

Data Sources: Tableau has several data sourcing methods for retrieving data from a range of sources, including relational and non-relational databases, data warehouses, on-premises, and on-cloud data, big data, and so on. We may develop graphically interactive reports by establishing a secure link with data sources and obtaining a combined picture of the data.

Data Connectors: Tableau supports a variety of data connectors, including SQL Server, Salesforce, Google Sheets, Presto, Hadoop, Amazon Athena, Cloudera, Dropbox, and many others.

Advanced visuals: Tableau offers several visualizations that users may utilize to customize reports. Basic pie or bar charts to advanced tree maps, boxplots, histograms, motion charts, Gantt charts, bullet charts, donut charts, advanced charts, and more are all available in Tableau.

Conclusion - Power BI or Tableau: Which is the better option?

We learnt and understood both tools in great detail. So, now let us try to understand which of the two can be better and why. Both tools have their own unique characteristics. To choose between the two, consider factors such as who will use the tool (stakeholders or data analysts), what their needs are, the size of the company that will utilize the tool, the volume of data that will be used, and so on. Because Power BI has intuitive features, it is simple to learn. As a result, it can be utilized by stakeholders who don’t have a lot of experience with data analysis but nevertheless want to perform it. In the case of Tableau, the user interface is not very intuitive, making it difficult to learn. As a result, data analysts who are familiar with data science and visualizations can use it. So, Power BI is great for its simplicity, whereas Tableau is better for its speed and additional features.