Home Uncategorized Power bi vs Tableau - 5 Most valuable differences

Power bi vs Tableau – 5 Most valuable differences

POWER BI VS TABLEAU – 5 Most valuable differences


Power BI is the product of Microsoft, and it provides cloud-based BI services to end-users. Power BI offers data visualization, analytics, and warehousing capabilities utilizing the existing Microsoft platforms and services, such as Azure, SQL, etc. It currently captures 36% of the current BI market share and is a leading business intelligence tool.


Tableau is a popular data visualization and business intelligence tool used for reporting and analyzing vast volumes of data. It helps users create different charts, graphs, maps, dashboards, and stories to visualize and analyze data to help make business decisions. The data generated with Tableau is easy to comprehend for business people of all levels because of its understandable formats. You don’t need to acquire any highly technical skills to create a custom dashboard in Tableau.




Here is the list of Power BI products:

  • Power BI Desktop: It is a free application that allows you to connect to several data sources. The data collected is combined into a data model used to build sharable visuals and reports.
  • Power BI Service: It is a SaaS segment of Power BI, also referred to as Power BI online. It is used to collaborate and distribute Power BI reports.
  • Power BI Mobile: It is a mobile app that brings Power BI to your pocket. You can easily access your up-to-date business information. You can connect to on-premise and cloud data.
  • Power BI Report Builder: It is a tool for creating paginated reports published to Power BI services. Users can modify these reports too.
  • Power BI Report Server: It is an on-premises report server to manage and display reports and KPIs. This tool is available through premium licensing of Power BI.
  • Power BI Embedded: It is a service to embed visuals, reports, and dashboards into an application.

Here is the list of Tableau products:

  • Tableau Prep: This tool helps prepare your data efficiently and intuitively. It provides visuals and helps to combine, shape, and clean the data. It also automates the data prep flows that make your analysis faster.
  • Tableau Desktop: It is a platform that helps in analyzing and identifying valuable insights for any organization. You can explore data with its intuitive interface, which allows for data-driven decision-making.
  • Tableau Server: It is a central repository for users, visualizations, and data sources. It helps to share your data across the entire organization very quickly.
  • Tableau Online: It is an online sharing tool similar to the Tableau server; the only difference is that data is stored on servers hosted in the cloud.
  • Tableau Mobile: You can take your data-driven decisions from anywhere at any time using your iOS or Android device. It becomes easy to access and monitor your dashboards in a go.


In comparison to Tableau, Power BI is simpler to learn. Tableau allows working on pre-processed data itself, but you may add new columns, remove unused columns, amend data, change formats, etc. with it. Users can split columns and change the data type, but they cannot get rid of extra columns.

Power BI puts an emphasis on the “flow” to provide a seamless and reliable user experience. Tableau, on the other hand, concentrates on code to provide you access to fresh visual effects that others produce. While Tableau utilizes MDX for measures and dimensions, Power BI employs DAX to calculate and measure columns. Tableau does not feature Power Pivot dots, but Power BI does, making it easier for users to undertake effective data analysis.


Power BI is less expensive than that from Tableau. Less than $10 is paid per user per month for the Power BI professional version. The yearly membership costs about $100.

Tableau is more expensive, where the pro version of Tableau comes at more than $35 per month per user. The yearly subscription costs around $1000.


According to Google Trends for Power BI and Tableau, Tableau is more well-known and often searched online. Tableau is more popular than Power BI even on YouTube in terms of search volume.

Microsoft has been named a Magic Quadrant Leader in analytics and business intelligence platforms by Gartner for 13 years running. After Microsoft, it has acknowledged Tableau as the leader in business intelligence.



  • Affordability

An important benefit of utilizing Power BI for data analysis and visualization is its affordability and relative low cost. The desktop edition of Power BI is free. You may download and use it on your PC to generate reports and dashboards.

  • Custom Visualizations

Microsoft’s marketplace offers a wide variety of custom visualizations for Power BI. You can create custom dashboards and reports using Power BI custom visuals in addition to the standard set of visualizations.

  • Excel Integration

Power BI allows you to upload and view your data in Excel. Data from a Power BI report or dashboard can be exported to Excel after being selected, filtered, or sliced.

  • Prompt Updates and Innovations

Microsoft releases monthly Power BI updates. Most significantly, Microsoft listens to the user community. It is simple to submit enhancement suggestions.

  • Personal Gateway

A Personal Gateway is a tool that may be used in conjunction with Power BI to authenticate data sources that are located on-premise but outside of the network’s firewall.

  • Data Accessibility

Power BI facilitates easy access to data sources and the data sets you generate while developing reports. All the data you import from data sources and manipulate is kept in a central location. This information is available at any time, from any location, on any device, and as often as you like.


  • The Power BI desktop version is not compatible with iOS.
  • It has a clunky interface filled with many icons that may block the view of reports and dashboards.
  • It does not accept a file size greater than 1GB.
  • Sometimes it becomes difficult to process larger datasets with complex features because Power BI may crash in these situations.



Data Visualization

Tableau is primarily a data visualization application. Consequently, its technology supports complicated computations, data blending, and dashboarding with the goal of creating stunning visualizations that provide insights that cannot be easily gleaned simply by staring at a spreadsheet.

Ease of Implementation

Tableau provides a variety of visualization options that enhance the user experience and facilitate implementation. In addition, Tableau is easier to learn than Python, Business Objects, and Domo; someone without coding experience may simply learn Tableau.

Interactive Visualizations

The greatest benefit of Tableau is that it requires minimal effort to generate attractive dashboards. With the aid of simple drag-and-drop functions, the user can generate numerous interactive reports in a matter of minutes.

Support Multiple Scripting Languages

Users can integrate Python or R with Tableau to overcome performance limitations and execute sophisticated table calculations. Using Python scripts to do data purification activities with packages helps alleviate the burden on the program.

Handle Large Amounts of Data

Tableau can effectively manage millions of rows of data. Large amounts of data can be visualized in a variety of ways without affecting the performance of dashboards. Additionally, there is an option in Tableau that allows users to establish “live” connections to other data sources, such as SQL, etc.


Last on our list of key Tableau perks is the availability of an efficient mobile app for iOS and Android. It provides Tableau customers with mobility and the ability to keep statistics at their fingertips, as well as supports the full capabilities of the desktop and online versions.


  • Tableau does not provide an automatic option for refreshing reports, which increases manual efforts to update data in the back-end.
  • Tableau does not provide you with version control which means you can’t get back to the previous level of data once the reports and dashboards are published.
  • Tableau has a limit of 16 column table display, so users sometimes find difficulty in displaying data for larger tables.
  • Tableau has static parameters, you can only select a single value using a parameter, and whenever the data is changed, these parameters are manually updated and not automatically.

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What are the differences between power bi vs tableau?

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