Tableau and Power BI both are excellent visualization tools in recent time. Tableau has established itself as the market leader for data analytics and BI tools.
Power BI is the closest competitor for the Tableau. Both the visualization tools have their strengths and specialties, and each will used in business as per requirements.
Tableau offers a visualization tool to make data easily understandable for all the users at any level in companies.
Power BI serves to small businesses and offers an easy way to use interface with the ability to create powerful dashboards.
Tableau and Power BI both tools offer advanced reporting and visualization capabilities.

Tableau

Tableau offers a robust BI tool to enhance data visualization and discovery for all types of business and organizations users. Tableau has a simple drag and drop features, and users can analyze critical data quickly. Users can share critical insights across the enterprise and create innovative visualization and reports in Tableau.
Tableau allows embedding dashboards into existing business application such as SharePoint for quick analytics.

Power BI

Power BI is a cloud-based analytics and business intelligence platform. Power BI offers a full overview of critical organization data.
It simplifies the data sharing and evaluation for users by connecting to all of their data sources. And it offers scalable dashboards that make it easy for users to choose various visualization as blueprints, then drag and drop the data from the navigation into the visualization.
We compared the Tableau and Power BI to see the main differences and factors which help you to decide the best for your needs.

Parameters	Tableau	Power BI
Meaning	Tableau is the data analytics and business intelligence tool for generating reports and data visualization tool with high flexibility.	Power BI is the business analytics tool to analyze the business and derive insight from it.
Year	Tableau was established in 2003.	Power BI was established in 2013.
Cost	Tableau is more expensive when it comes to large enterprise, and it paid more when connected to third party application.	Power BI is less expensive when compared to the Tableau.
Data visualization	Tableau is a more preferred tool when it comes to data visualization.	Power BI focused on predictive modeling and reporting.
Data source	Tableau has access to many database sources and servers. Ex: Text file, Excel, JSON file, Access, PDF file, Statistical file, Spatial file, etc.	Power BI has limited access to other database and servers. Ex: Access database, SQL server database, SQL server analysis services database, IBM DB2 database, Oracle database, etc.
Deployment	Tableau have more flexible deployment. It available on-premises and cloud both model options.	Power BI is available as SaaS model options only.
User interface	Tableau has a slick user interface that enables the user to create a customized dashboard.	Power BI has a more understandable interface and much simpler to learn. Due to its simplicity and easy to use, that’s why business users prefer power BI.
Data capacity	Tableau works on the columnar based structure that stores unique values for each column, making it possible to fetch millions of rows.	Power BI can Handel up to 10 GB of data. For more than 10 GB, data should be in the cloud (Azure). If it is in the local database, then Power BI selects the data from the database but does not import.
Machine learning	Python machine learning capacities is in build with a Tableau that makes it efficient for performing machine learning operation over the datasets.	Power BI is integrated with Microsoft Azure that helps in analyzing the data and understanding the pattern of the business.
Performance	Tableau can handle huge data with better performance.	Power BI can handle limited data only.
Users	Tableau required analysts users for their analytics purpose.	Power BI required both technical and non-technical users.
Infrastructure	Tableau provides flexible infrastructure.	Power BI provides software as a service infrastructure.
Overall functionality	Tableau has excellent functionality.	Power BI has good functionality.
Support level	Tableau has a high support level in comparison to power BI.	Power BI has a low support level.
Programming tools support	Tableau integrates much better with R language as compared to power BI.	Power BI is also connected to the R language using Microsoft revaluation analytics. But it is only available for enterprises level users.

So, this brings us to the end of blog. This Tecklearn ‘Comparison of Tableau and Power BI’ blog helps you with commonly asked questions if you are looking out for a job in Tableau Desktop. If you wish to learn Tableau Desktop and build a career in Business Intelligence domain, then check out our interactive, Tableau Desktop Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

Tableau Desktop

Tableau Desktop Training

About the Course

Tecklearn’s Tableau Desktop Training teach you how to transform raw data into interactive and shareable dashboards using Tableau. Our Tableau Course covers the necessary analytical skills to Advanced data visualizations by incorporating real-world use-case scenarios, labs, and exercises. Some of the topics included are Data Blending, Data Mapping, Graphs, creation of charts, and LOD expression by using different versions of Tableau, such as Tableau Desktop, Tableau Reader, and Tableau Public.

Why Should you take Tableau Desktop Training?

• The average salary of a Tableau Professional ranges between $108,697 to $158,000 per annum -Indeed.com.
• Tableau has been positioned as a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms – Gartner.com.
• Fidelity Investments, Capgemini, EY, Deloitte, EY, JP Morgan, Verizon, Facebook, Dell, General Motors, KPMG, Bank of America and 40,000 other MNCs worldwide across industries use Tableau.

What you will Learn in this Course?

Understanding Tableau
• Why Tableau
• Tableau Product Platforms
• Tableau Architecture
• Tableau Interface
Data Connection with Tableau Desktop
• Features of Tableau Desktop
• Connect to data from File and Database
• Types of Connections
• Data Blending
• Joins and Unions
• Tableau Desktop User Interface
• Basic project: Create a workbook and publish it on Tableau Online
Basic Visual Analytics
• Visual Analytics
• Basic Charts: Bar Chart, Line Chart, and Pie Chart
• Hierarchies
• Data Granularity
• Highlighting
• Sorting
• Filtering
• Grouping
• Sets
Advanced Visual Analytics
• Parameters
• Tool tips
• Trend lines
• Reference lines
• Forecasting
• Clustering
Calculations in Tableau
• Calculated Fields
• Numeric, String, Data, Logical, Addressing and Partitioning
• Table Calculations
Level of Detail (LOD’s) Calculations
Advanced Charts in Tableau
• Box and Whisker’s Plot
• Bullet Chart
• Bar in Bar Chart
• Gantt Chart
• Waterfall Chart
• Pareto Chart
• Control Chart
• Funnel Chart
• Bump Chart
Parameters
• What If Scenarios
• Parameter in CF (KPI control)
• Parameter in Filter (Top N)
• Parameter in reference line
Dashboards and Stories
• Introduction to Dashboards
• The Dashboard Interface
• Dashboard Objects
• Building a Dashboard
• Dashboard Layouts and Formatting
• Interactive Dashboards with actions
• Designing Dashboards for devices
• Story Points
Data Security in Tableau
Optimizations tips and tricks
Interacting with Tableau Server
Working with Tableau JavaScript API

Got a question for us? Please mention it in the comments section and we will get back to you.

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