Tableau is taken into account as one of the leading tools within the BI market. Power BI is considered as an emerging tool in close competition with Tableau due of its backend data manipulation features and connectivity with the list of data sources. Tableau is one of the best data visualization tools within the market and is employed by medium and large enterprises. Power BI is closely integrated with Office 365 suite, and hence it’s compatible other sources such as SharePoint.

Feature	Tableau	Power BI
Data Visualization	Tableau provides strong data visualization and is one of the main data visualization tool within the market.	Power BI provides a strong backend data manipulation feature with access to simple visualizations.
Size of Dataset	Tableau can connect much larger datasets as compared to Power BI.	Power BI has a limit of 1GB data in free version.
Data Sources	Tableau covers a vast range of data sources to connect with for data visualization. In Tableau, you select the dataset first and visualizations are employed on the fly.	Power BI covers most of the data sources available in Tableau. It’s closely integrated with Office 365, hence provides connectivity to SharePoint. Power BI online version also supports direct visualization on Search Engine, though, only Bling is supported at this point.
Costing	Tableau is expensive as compared to Power BI but still under budget for small and medium enterprise.	Power BI provides a free version with 1GB limit on dataset. Power BI Pro is also a cheaper solution when compared with any other BI tool.
License and Pricing	Tableau Desktop Profession: USD70/user/month and it can connect to hundreds of data sources. Tableau Desktop Personal: USD35/user/month and it can connect to data sources such as Google Sheets and Excel files. Tableau Server: Minimum 10 users with the cost of USD35/user/month Tableau Online with private cloud: USD 42/user/month	Power BI: Free 1 GB storage 10k rows/hour data streaming Power BI Pro: USD9.99/user/month 10 GB storage 1 million rows/hour
Implementation	Tableau provides different implementation types as per organizational needs panning from few hours to few weeks.	Power BI uses cloud storage and includes simple implementation process.

Power BI vs SSRS

Feature	SSRS	Power BI
Data Visualization	SSRS is mostly employed for Pixel perfect reporting and average dash-boarding features.	Power BI provides a strong backend data manipulation feature with access to simple visualizations.
Size of Dataset	No such limit in SSRS. It can connect to much larger datasets as compared to Power BI.	Power BI has a limit of 1GB data in free version.
Data Sources	SSRS covers a vast range of data sources to connect with for BI reporting.	Power BI covers most of the data sources available in Tableau. It’s closely integrated with Office 365, hence provides connectivity to SharePoint. Power BI online version also supports direct visualization on Search Engine, though, only Bling is supported at this point.
Costing	SSRS pricing details are available only upon request.	Power BI provides a free version with 1GB limit on dataset. Power BI Pro is also a cheaper solution when compared with any other BI tool.
License and Pricing	SQL Server Enterprise License. It’s available on cloud – AWS, Azure, and other providers.	Power BI: Free 1 GB storage 10k rows/hour data streaming Power BI Pro: USD9.99/user/month 10 GB storage 1 million rows/hour
Implementation	SSRS implementation is complex as compared with Power BI.	Power BI uses cloud storage and includes simple implementation process.

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

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About the Course

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What you will Learn in this Course?

Introduction to Microsoft Power BI

• Microsoft Power BI Introduction
• Power BI Products
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Power BI Workflow

• Key features of Power BI workflow
• Power BI Vs MSBI
• History of Power BI
• Power BI Products
• Data modelling and relationships

Power Query for Data Transformation

• Power Query for Data Transformation
• Learning about Power Query for self-service ETL functionalities
• Working with Excel data
• Introduction to Query Editor
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• Summary Tables
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• M advanced data transformations

Filters and Drill Down Report

• Visualization Filter
• Page Level Filter
• Report LEVEL Filter
• DRILL Through Filter or Report
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Power Pivot for Data Modelling

• What is SSAS
• Data Modelling
• Star Schema
• Snowflake Schema
• Introduction to MDDB and Tabular
• Data Access Modes
• Tabular with DAX
• Power BI with DAX
• DAX Functions

Data Analysis Expression – DAX Queries

• TABULAR with DAX
• Power BI with DAX
• Calculated Members, Row, Filter & Evaluation Context
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Power BI Desktop & Administration

• Reports and Visualization
• Learning about data modelling and data relationships
• Deploying data gateways
• Reports and Dashboards
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• Gateway Clusters

Introduction to Power Q & A

• Power Service
• Power Q & A best practices
• Integrating with SaaS applications
• Gateway

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