Power BI vs Tableau: A Data Analytics Duel. Power BI comes at a lower price point than Tableau, but scaled features and additional users will increase that price. Tableau is built for data analysts, while Power BI is better suited to a general audience that needs business intelligence to enhance their analytics.
The basic difference between the traditional BI tools and Tableau lies in the efficiency and speed.
- The architecture of Traditional BI tools has hardware limitations. While Tableau does not have any sort of dependencies
- The traditional BI tools work on complex technologies while Tableau uses simple associative search to make it dynamic.
- Traditional BI tools do not support multi-thread, in-memory, or multi-core computing while Tableau supports all these features after integrating complex technologies.
- Traditional BI tools have a pre-defined data view while Tableau does a predictive analysis for business operations.
Tableau provides strong data visualization and is one of the main data visualization tool in the market. Power BI provides a strong backend data manipulation feature with access to simple visualizations. Tableau can connect much larger datasets as compared to Power BI.
Tableau
Tableau specializes in making beautiful visualizations, but much of their advertising is focused on corporate environments with data engineers and bigger budgets. There’s a public (free) version of the tool, but with limited capabilities. The more you pay the more you can access with Tableau, including benchmarked data from third parties. The software also has a non-profit tool and versions for academic settings.
Power BI
Power BI uses the existing Microsoft systems like Azure, SQL, and Excel to build data visualizations that don’t break the bank. This is a great choice for those who already work within the Microsoft products like Azure, Office 365, and Excel. It’s also a fairly good low-price option for SMBs and startups that need data visualization but don’t have a lot of extra capital.