If you want to know the difference between Tableau and Power BI, then keep reading the article to find the perfect answer to your queries.
You will find a lot of different data analytics and visualization tools on the internet. These help you in business intelligence tools allow you to ease the work with data and present the same in a better and more understandable way. Moreover, if your organization is indulged in or wants to make decisions related to data, then these tools are the best way to do that.
Amongst the major advantages of using business intelligence tools is that you get a better understanding of present trends. Additionally, you can identify the type or pattern flowing with the data as well. This, in turn, allows you to use the best of your skills to make the desired or the best decision for your organization according to the visual data available.
However, two of the best such business intelligence tools are Power BI and Tableau. Both of these tools, although help you with the same task, are quite different from each other. However, sometimes, the users get confused and think that both of these tools are the same or offer the same features to you.
Hence, to clear the differences between Power BI and Tableau, we are providing a full-fledged competition between Tableau and Power BI. When the difference between Tableau and Power BI is clear to you, you can make a better decision about which of the tools you want to use as a business intelligence tool for your organization to help you with data analytics and visualization. So, let’s dive into the definitions of Tableau and Power BI first and then head over to the differences.
The first thing you should know is “What is Tableau”? So, as stated earlier, Tableau is one of the best business intelligence tools. This is the most powerful data analytics and visualization growing faster than ever. Moreover, with the help of the tool, you can present a set of data in images (or any other presentable format) for better understanding.
The app uses different data to present or visualize the data in the form of worksheets, workbooks, or dashboards as required.
Next comes the Power BI tool. Just like Tableau, Power BI is also a member of the best business intelligence tools. However, with the help of this tool, you can present huge sets of data into BI reports and/or easy-to-understand dashboards. With the help of the tool, you can also connect various apps and software to a single platform.
Provided by Microsoft, Power BI has a clean integration process. Additionally, with the tool, you can enter and manage data from different sources and get the best and most understandable visualization for the same. Moreover, the tool provides a unique feature as well that helps you create an Ad Hoc report from the data provided.
But, now that the definitions of Tableau and Power BI are clear, let’s know how both are different from each other.
Now, let’s have a look at the major points of difference between Tableau and Power BI. These will help you analyze which of the products is better and best suited to use for your organization. The table below will help you get a better understanding of the differences.
|Cost of the Product||Tableau is more expensive than Power BI and its price starts at $35/month.||Power BI is cheaper than Tableau and its price starts at $9.99/month.|
|Desktop, Server, Online, Vizable, Public, and Reader.||Desktop, Service, Mobile Apps, Gateway, and Report Server|
|User Interface||Smart interface with a customizable dashboard.||Easy to use interface that can be integrated with other Microsoft apps.|
|Performance||Performs better even if the data volumes are huge.||Performs better with fewer data volumes.|
|Data Source Support||Tableau supports data from Excel, Amazon Redshift, PDF, Text File, JSON, and more.||Power BI supports data from Microsoft Excel, Oracle Database, MS SQL Server, Text/CSV, Folders, Access DB, and more|
|Ease of Using||Complicated to use||Easy to use|
|Visualization||Offers 24 different visualization options.||Offers over 3500 points for data visualizations.|
|Programming Support||Better R language support without add-on. Additionally, it supports Java, C, C++, and Python.||Supports M language and Data Analysis Expression for data visualization (R language with an add-on).|
|Customer Support||Great customer support options and forums.||Customer support through free accounts only.|
|Machine Learning||Supports Python machine learning.||Microsoft business analytics with SQL machine learning.|
|Information Storage||Can store data online using a server.||Can not store data online.|
|Analytical Processing Method||Uses MultiDimensional eXpressions (MDX)||Uses Data Analysis Expressions (DAX)|
|Features||Less intuitive features||More intuitive features|
|Organizational Suitability||Perfect for medium and large scale enterprises||Perfect for small, medium, and large scale enterprises|
|Ease of Embedding Report||Tough||Easy|
|Integrations and Keys||Customizable integrations with a lot of enterprise tools.||Some integrated and pre-designed dashboards.|
|Level of User||Best for advanced users and data analytics||Best for basic users and stakeholders|
So, above were the major points of difference between Tableau and Power BI. We hope that after going through the definitions and differences of Tableau and Power BI, you got all the information you needed about the two.
Additionally, now you can make an informed decision about whether you want to use Tableau or Power BI for data visualization. We suggest you use the Microsoft Power BI app if you are a beginner at data creation and handling. However, if you have any questions or suggestions, get to us using the comments section below. We will connect with and reply to you as soon as possible.
September 27, 2021