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Today’s world, everything is running on data. Whether small or large, every organization needs to analyze the data for better growth and make quick decisions. Business Intelligence tools are must-have tools to build new strategies, discover potential insights, and streamline decision-making. 

Power BI and Tableau are two popular Business Intelligence tools for collecting, integrating, analyzing, and presenting business data. Both tools possess a dominant position in the Business Analytics and Data Science Firm. But choosing one is to learn for tremendous career growth is not a simple task. This blog explains the difference between tools, including the usage and scope of learning each tool to help you choose the best.

What is Power Bi?

Power BI is a business analytics tool organized by Microsoft to make analyzing and visualizing data, extracting insights, and sharing the results with different departments of any organization easier. 

Features of Power Bi

  • Rich, interactive, customizable dashboards
  • Easy sharing of reports and collaboration
  • Accurate, efficient, and pocket-friendly BI tool
  • Self-service and enterprise data analytics
  • Real-time analytics and visuals

What is Tableau?

Tableau is a powerful Business Intelligence tool used to manage a vast amount of data and turn it into actionable information. The tool creates detailed visualization of enormous data to show the insights more straightforwardly.

Features of Tableau

  • Quick, interactive, and intuitive tool
  • Hassle-free enterprise-level scalability
  • Self-service BI tool, easy-to-use
  • Responsive design and mobile-friendly dashboards
  • Supports various data sources
  • End-to-end analytics platform

Difference Between Power Bi and Tableau

Explaining some of the critical differences between Power Bi and Tableau that are important to keep in mind while choosing the one:-

Performance – Power BI Vs. Tableau

The performance of both tools is highly dependent on the amount of data you need to analyze. Powe Bi is a consideration if the data is less. But, when the amount of data increases, the tool starts lagging behind the visualizations. While on the other hand, Tableau performs fast and is efficient to use when you have a large number of data. 

Products Under Power BI and Tableau

Power BI and Tableau have released a variety of data analytics and business intelligence software. The following is a list of the products available under each platform:

Power BI Products 

  • Power BI Report Server
  • Power BI Pro and Power BI Premium
  • Power BI Desktop
  • Power BI Mobile

Tableau Products

  • Tableau Online
  • Tableau Prep
  • Tableau Server
  • Tableau Reader
  • Tableau Mobile
  • Tableau Desktop

Data Sources – Power BI Vs. Tableau

In comparison to Tableau, Power BI offers a variety of data sources but has restricted access to other databases and servers. Examples are MS Excel, Folders, MS SQL Server, IBM DB2, Access DB, Text/CSV, Oracle Database, etc.

Tableau Software offers access to various data sources and servers, including Excel, Text PDF, Dropbox, JSON, File, statistical files, Cloudera Hadoop, Google Analytics, Amazon Redshift, Google Drive, and Google Sheets.

Data Visualization – Power BI Vs. Tableau 

Both Power BI and Tableau tools follow different techniques of visualizing the data. While Power BI focuses on manipulating, reporting, and predictive modeling data, Tableau aims to visualize the data in a simplified form so that analysts can prepare a report by comparing, analyzing, and adjusting the data accordingly. Power BI is more like a manipulating data tool than a visualization tool. You can access visualizations easily in Tableau, and it is more likely a query-based tool.

Power BI vs. Tableau Cost Comparison

Power BI tool is affordable compared to Tableau, and it is cost-effective and efficient for corporate users, particularly those who are already familiar with Microsoft products. In contrast to Tableau, Power BI is a low-cost BI solution, even if we choose a monthly subscription or scaled premium service. However, the cost is subjective and depends on the number of users, scalability, and upkeep. 

Tableau is relatively expensive, based on the principle that the more you pay, the more you can access. Tableau’s data visualization, data interpretation, and connection with scripting languages like R and Python make it a favourite among data analysts, regardless of price.

Scope of Learning Power Bi and Tableau

Business intelligence and data visualization are two fields with promising career prospects in today’s data-driven world. As data visualization is the future of business, Power BI and Tableau will be essential learning tools for ambitious candidates.

When it comes to job opportunities, Data scientists, Product Managers, Software Engineers, Business Intelligence Developers, and Business Analysts are just a few of the jobs available with Microsoft Power BI. Tableau offers a choice of career categories to pick such as Tableau Consultant, Data Analyst, Business Analyst, Business Intelligence Analyst and Business Intelligence Developer are some of the most popular job titles for Tableau Professionals.


So, here are some of the differences stated between Power BI and Tableau tools. Both the tools have equal demands in the job market. You can get better job opportunities after learning any of the tools, and you can choose one according to your interest and preferences.

You can also enroll for Business Analytics Course and advance your business analysis career or join our Data Science course to understand the tool of your choice.

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