- Power BI - Home
- Power BI - Introduction
- Power BI - Installation Steps
- Power BI - Architecture
- Power BI Desktop
- Power BI - Desktop
- Power BI - Desktop Window
- Power BI Service
- Power BI - Window Supported Browsers
- Power BI - Generating Reports
- Power BI Desktop Service
- Power BI - Desktop vs Service
- Power BI - Supported Data Sources
- Power BI - Comparison Tools
- Power Query Editor
- Power Query Editor - Introduction
- Power Query Editor - Data Discrepancy
- Power Query Editor - Merge Queries (Part 1)
- Power Query Editor - Merge Queries (Part 2)
- Power BI - Develop Star Schema
- Data Modeling Concepts
- Power BI - Data Modeling
- Power BI - Manage Relationships
- Power BI - Cardinality
- Power BI - Dashboard Options
- Power BI Report Visualizations
- Power BI - Visualization Options
- Power BI - Visualization Charts
- Power BI - Stacked Bar Chart
- Power BI - Stacked Column Chart
- Power BI - Clustered Chart
- Power BI - 100% Stacked Chart
- Power BI - Area Chart and Stacked Area Chart
- Power BI - Line and Stacked Column Chart
- Power BI - Line and Clustered Column Chart
- Power BI - Ribbon Chart
- Power BI - Table and Matrix Visuals
- Power BI Map Visualizations
- Power BI - Creating Map Visualizations
- Power BI - ArcGIS Map
- Power BI Miscellaneous
- Power BI - Waterfall Charts
- Funnel Charts and Radial Gauge Chart
- Power BI - Scatter Chart
- Power BI - Pie Chart and Donut Chart
- Power BI - Card and Slicer Visualization
- Power BI - KPI Visual
- Power BI - Smart Narrative Visual
- Power BI - Decomposition Tree
- Power BI - Paginated Report
- Power BI - Python Script & R Script
- Power BI - Multi-row Card
- Power BI - Power Apps & Power Automate
- Power BI - Excel Integration
- Power BI Dashboard
- Power BI - Sharing Dashboards
- Power BI Sales Production Dashboard
- Power BI - HR Analytics Dashboard
- Power BI - Customer Analytics Dashborad
- Power BI - DAX Basics
- Power BI - Administration Role
- Power BI - DAX Functions
- Power BI - DAX Text Functions
- Power BI - DAX Date Functions
- Power BI - DAX Logical Functions
- Power BI - DAX Counting Functions
- Power BI - Depreciation Functions
- Power BI - DAX Information Functions
Power BI - Comparison with Other BI Tools
In this chapter, a comparison between Power BI and other BI tools such as Tableau, Microsoft Fabric, and SSRS is carried out.
Power BI vs Tableau
Tableau is considered one of the leading tools in the BI market. Power BI is considered an emerging tool in close competition with Tableau because of its backend data manipulation features and connectivity with the list of data sources. Tableau is one of the best data visualization tools in the market and is used by medium and large enterprises. Power BI is closely integrated with Office 365 suite, and hence it is compatible with other sources such as SharePoint.
| Feature | Tableau | Power BI |
|---|---|---|
| Data Visualization | Tableau provides b data visualization and is one of the main data visualization tools in the market. | Power BI provides a b 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 of data in the 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 used on the fly. |
Power BI covers most of the data sources available in Tableau. It is 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 enterprises. | Power BI provides a free version with a 1GB limit on the 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 the 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 from a few hours to a few weeks. | Power BI uses cloud storage and includes a simple implementation process. |
Power BI vs SSRS
The following table compares and contrasts the features of Power BI and SSRS −
| Feature | SSRS | Power BI |
|---|---|---|
| Data Visualization | SSRS is mostly used for Pixel Perfect reporting and average dashboarding features. | Power BI provides a b 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 of data in the 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 is 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 the dataset. Power BI Pro is also a cheaper solution when compared with any other BI tool. |
| License and Pricing | SQL Server Enterprise License. It is 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 a simple implementation process. |
Microsoft Fabric vs Power BI
The following table compares and contrasts the features of Microsoft Fabric and Power BI −
| Feature | Microsoft Fabric | Power BI |
|---|---|---|
| Data Visualization | Microsoft Fabric provides a Notebook tool that is enriched with numerous functions with access to simple visualizations. | Power BI provides a b backend data manipulation feature with access to simple visualizations. |
| Sizes of Data Set | Microsoft Fabric has the potential to link with more complex and giant datasets as compared to Power BI. | Power BI has a limit of 1GB of data in the free version. |
| Data Sources | Microsoft Fabric covers most of the data sources embedded in Power BI. It is closely integrated with data science, data analysis, data engineering, and real-time analytics. | Power BI covers most of the data sources like Excel, Sharepoint, MySQL, etc. It is closely integrated with Office 365, hence provides connectivity to SharePoint. |
| License and Pricing | Microsoft Fabric: SKU: F64, USD 11.52/hour, USD 8409.6/month. SKU: F128, USD 23.04/hour and 16,819/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 |
| Architecture | Microsoft Fabric has a complex architecture like One lake that presents a challenge for data analysts. | Power BI architecture is simple as compared to Microsoft Fabric. |