TABLEAU VS. POWER BI: THE KEY DIFFERENCES
- April 7, 2019
- Posted by: admin
- Category: Uncategorized
Tableau vs. Power BI: The Key Differences
1. Overview: Power BI builds data visualizations using Microsoft systems such as SQL, Excel, and Azure. It makes a great option for beginners and working professionals who already have exposure to Microsoft products (such as Office 365, Azure, and Excel). Power BI is the best choice for SMBs and startup companies that have the low budget capital for data visualizations. Tableau is embraced for its intuitive data visualizations but focuses more on bigger budgeted corporate environments that empower data engineers. A free version of the Power BI tool is available for public use with limited capabilities. A subscription-based model enables you to pay for the features you access, including benchmarked data made available by the third parties. A non-profit Tableau version for academic settings is also available.
2. Cost: Tableau is more expensive than Power BI as it was meant for larger enterprises with a tremendous data analytics and visualizations budget. The Tableau Pro version costs more than 35$/month per user. To optimize Tableau functionalities, you can build data warehousing for inflating the tool cost. Power BI, on the other hand, is an affordable solution and is widely used across the world by small- to mid-sized companies. A professional version of Power BI cost even less than 10$/month per user.
3. Data Visualizations: Power BI focuses more on data modeling and reporting for predictive analysis. Tableau is more data-visualization oriented, allowing data analysts to perform overall analysis with reporting features.
4. Deployment: Tableau offers greater deployment flexibility in comparison to Power BI. Power BI is available as a subscription-based model that allows you to pay only for the services you access from the cloud. This SaaS model proves cost-effective as businesses need not invest the effort, time and cost in deploying the entire software application. Tableau is available in both on-premise and cloud versions. Due to its licensing and its flexible and deployable features, Tableau’s on-premise version is a little expensive.
5. Data-Handling Capabilities: Tableau ranks higher than Power BI in handling voluminous data sets. Power BI can be optimized to scale to bulk data handling capacities by using direct connections, despite import functionalities.
6. Third-Party Integration: Both Tableau and Power BI allow third-party integration with widely-used data sources. Tableau, though, had gained an edge over Power BI due to the out-of-the-box integrations.
7. Support to Programming Tools: Both Power BI and Tableau provide support to commonly-used programming languages. Tableau can be integrated to R Language more efficiently in comparison to Power BI. Power BI can also be connected to R language by employing Microsoft revolution analytics for enterprise-level users only.
8. User Interface: Tableau provides a smooth and smart user interface that allows users to create customized dashboards with considerable ease. Power BI offers a more intuitive interface, which is quicker to learn than tableau. The ease of use and the simplicity of the Power BI user interface is one more reason for beginners to prefer it over Tableau.
Both Power BI and Tableau are meant to address different perspectives, and neither is worse than the other. You need to make a choice between the two based on your specific data analytics and your handling requirements. Consider the aforementioned pointers. To master any of these, you should seek professional guidance.
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