In this era of powerful data visualization and fruitful business intelligence, Power BI and Tableau are two of the most popular and competitive platforms available in the market. As organizations focus on data-driven decision-making, choosing the right tool can impact the effectiveness of your teams in analyzing, visualizing, and sharing insights.
In this blog, we have discussed a detailed comparison of Power BI vs. Tableau, covering everything that you need to know to make an informed choice.
Power BI is developed by Microsoft in 2015. It is a very powerful tool for data visualization and business intelligence. It has grown rapidly and seamlessly integrated with other products of the Microsoft ecosystem, including Microsoft Dynamics 365. Power BI is highly popular for its user-friendly interface, affordability, and extensive data connectors. Power BI is a newer yet a strong competitor of Tableau.
Pros |
Cons |
Easy to use Interface. Easy collaboration and report sharing |
Complex formulas (It uses DAX for calculations) |
360-degree data view with interactive dashboards |
Free versions have limitations in data handling |
Offers a range of data source connections |
Limited configuration options |
Create custom visualizations |
|
Tableau was founded in 2003 and later acquired by Salesforce in 2019. It is a well-known BI tool that offers stunning visualizations. It has the ability to manage large datasets. It is specifically developed for users you need advanced analytics features with robust customization options. It allows businesses to simplify their process of data analysis. It has over 1 million members and 500+ user groups across the globe.
Pros |
Cons |
High performance & Mobile Friendly |
New great IT expertise to understand and use certain configurations |
Can handle large data sets and visual objects with ease |
Cannot refresh reports automatically |
Centralized data repository |
High Cost and Poor Versioning |
Offers extensive official resources for knowledge and training |
|
|
Power BI |
Tableau |
Parent Company |
Microsoft |
Salesforce |
Year |
2013 |
2003 |
Pricing |
Cost-friendly |
Expensive |
Licensing |
No license keys needed |
Need license keys |
Size |
Meant for small, medium, and large-scale organizations |
Only for large-scale enterprises |
Performance |
Offers great performance in data visualization, manipulation, and integration |
Offers great performance in hypothetical visualization, and ad-hoc data analysis. Can handle large data sets. |
Security |
Offers Row-Level Security and Role Restriction Capabilities. |
Renders Row-Level Security. Users can set up filters as well. |
Learning Curve |
For beginners and experts |
Best suited for expert data analysts |
Language Used |
Uses DAX (Data Analysis Expression) for calculated columns and measures |
Uses MDX (Multidimensional Expressions) for dimensions and measures. |
Supported Language |
R language-based visualizations |
Fully integrated support for R and Python |
Deployment |
– On Cloud |
– On Cloud |
SQL Support |
Yes |
Yes |
Data Capacity |
Can handle just 10 GB of data. Need cloud services like Azure for more data |
Can handle billions of data without any need for cloud services |
User Friendliness |
Easy to Use |
Needs more time and expertise to use |
1. Data Visualization
Tableau
Tableau is widely known for its data visualization features. It enables users to develop custom interactive dashboards that are compatible with other devices. Tableau also renders pre-installed information on geographical data like postal codes, cities, administrative boundaries, etc. It also offers different kinds of maps like Choropleth maps, Heat maps, Flow maps, and Point distribution maps.
Power BI
On the other hand, Power BI renders data visualization with the help of various data points. The easy drag-and-drop feature is a great option, especially for non-technical users. Its visualizations include Bar/Stacked/Cluster charts, Line charts, Area charts, Funnel charts, and Ribbon charts. It offers various visualization options ranging from simple charts like Pie charts or Bar charts to critical ones like Gantt charts, Bullet charts, boxplots, etc.
2. Products
Power BI
It is a part of the Microsoft Business Intelligence MSBI Suite. It offers a range of products and services like:
Tableau
3. Cost
In the Power BI VS Tableau Cost battle, Tableau is definitely the more expensive one. Tableau’s Pro version’s yearly subscription is 10x more than the Power BI Pro version’s yearly subscription.
For organizations who want cost friendly option or are already using Microsoft’s suite, Power BI must be considered. Even startups or SMEs can consider Power BI. They can upgrade to Tableau eventually when their business grows.
Power BI Pro |
Tableau |
Starts at $9.99 per month |
Creator: $70 per user/month |
Power Bi Premium: |
4. Security
Power BI
Power BI uses Azure SQL database and Azure BLOB storage to store and manage data storage security. It also offers RLS (row-level security) for role-based data access. Along with it, it uses Azure Active Directory for accurate user authentication. It also uses TLS (Transport Layer Security) for network communication.
Tableau
In Tableau, users can configure high-end data security, proper authentication, and top-notch network security. Tableau offers pre-set user roles like:
Publisher can set up access permissions for these roles. Admins can also get RLS options. It also recommends SSL and HTTPS configurations for any kind of network communication between client-Tableau Server and Tableau Server-database.
5. Dashboards
Power BI
Power BI offers modern features that can transform raw data into intuitive, visually appealing dashboards. It enables users to see data insights without the need for any prior experience. Also, Power BI’s dashboards are very simple and easy to use.
Power BI Dashboard
Tableau
Tableau offers powerful features like Power BI. But, when compared to Power BI, various features are hidden behind the menus. Tableau is also popular for its visually stunning dashboards. It offers a quick and easy drag and drop feature to create dashboards.
Tableau Dashboard
6. Data Sources
Popular Data Source |
Power BI |
Tableau |
Adobe Analytics |
Yes |
No |
Amazon Redshift |
Yes |
Yes |
Alibaba Data Lake and Analytics |
No |
Yes |
Excel |
Yes |
Yes |
|
Yes |
No |
Google Analytics |
Yes |
Yes |
Google Ads |
No |
Yes |
BigQuery |
Yes |
Yes |
Hadoop |
Yes |
Yes |
IBM DB2 |
Yes |
Yes |
MySQL |
Yes |
Yes |
Oracle |
Yes |
Yes |
PostgreSQL |
Yes |
Yes |
R Script |
Yes |
Yes |
Python Script |
Yes |
Yes |
SalesForce Report |
Yes |
Yes |
Spark |
Yes |
Yes |
SQL Server |
Yes |
Yes |
JSON |
Yes |
Yes |
Azure SQL |
Yes |
Yes |
Text File |
Yes |
Yes |
While choosing the best between Power BI and Tableau, the final decision mostly depends on the unique needs and requirements of your organization. Power BI is best-fitted for businesses already using Microsoft products. It renders an affordable and user-friendly solution with powerful AI and automation capabilities. On the other hand, Tableau is a great choice for experienced and skilled data professionals who need advanced analytics and deep visual customization but for a higher price.
Whether you prioritize ease of use, budget, or advanced data handling capabilities, both Power BI and Tableau are exceptional tools in the business intelligence market. Can you choose the best one? A reliable IT consultant company can help you choose the best solution for your firm.