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Among all the essential software tools, business intelligence (BI) ones are a must-have for most organisations handling massive amounts of data. They help business teams collect, process, store, and explore different data to make an interactive visualisation for the end-user and help them make the right decisions. Due to their high popularity, there’s an exponential increase in the demand for Power BI certification and Tableau training.

The two BI tools mentioned above are among the most sought-after business intelligence software in the market. In the following article, we will compare both of them on several parameters.

So, let’s begin.

1. Definition

Tableau is a dynamic medium for data visualisation and works by neat condensation of raw data into analytical formats that are easy to grasp. It hit the markets in 2003 and has come a long way since then.

On the other hand, Power BI is an analytical tool for businesses, developed by Microsoft in 2013. Power BI training is comparatively more straightforward, credits to its simple user interface.

2. Data Visualisation

Data visualisation refers to the usage of graphs, maps, charts, diagrams, etc., in the place of long and lengthy tables which aren’t quickly understandable.

As mentioned earlier, Tableau is suitable for data visualisation. But if you are also looking for the analytical part, then Power BI should be your choice. A Power BI course teaches data analytics through the tool in a comprehensive manner.

3. Performance

One of the essential parameters is the tool’s performance and ability to handle massive amounts and different data kinds. Tableau has an additional edge on this parameter due to its capacity to handle comparatively vast chunks of data. It is essential to remember that since Power BI contains the analytics part, its data handling capacity is limited.

4. Data Sources

Power BI doesn’t allow access to other databases such as SQL, SAP HANA, ORACLE, etc. An essential feature of Microsoft developed tools and Microsoft courses is also modulated on the same lines.

On the other hand, Tableau is quite liberal and allows access to several different databases and servers.

5. Ease Of Training

Since Power BI arrived later, it is designed by keeping in mind the learning curve and is much easier to learn than Tableau. Power BI certification costs cover theoretical knowledge, applicability, and project-based training and are available with various reputed course providers.

As for the Tableau, one has to be comparatively more technically sound to learn the software with ease.

6. Integration

Power BI has contrasting features when comparing data sources and integration parameters, as it can work seamlessly with SharePoint, PowerApps, Azure Power Flow, 365 Excel, and other Microsoft products.

Tableau doesn’t lose any points here as it is pretty compatible with various outsourcing tools.

7. Data Shaping And Data Modelling

Power BI comes with the option for versatile query editing and helps you make things easier; and also offers set-documentation and other record-keeping features.

Tableau doesn’t offer these features, and neither does it match Power BI’s capabilities on data modelling parameters.

8. Application

Power BI has broader applicability and is commonly utilised for generating personalised graphics and other open-source solutions. On the other hand, Tableau comes in handy for more prolonged run operations.

9. Pricing

Here comes one of the most important factors, which plays a significant role in deciding the BI solution for an enterprise. Power BI is priced lower than Tableau, and its pro account starts at $9.99 per month along with a free sixty days trial.

10. Customer Support

Both software stand equivalent in terms of customer support. While Microsoft maintains its reputation for Power BI, Tableau’s is powered by its vast user base. A Microsoft Power BI certification teaches various attributes related to the support parameter too.

11. Licensing

Power BI follows the SaaS infrastructure and has strict licensing, while Tableau is quite flexible on this parameter.

Conclusion

By comparing the parameters stated above, it is evident that the final decision depends on your requirements. Both the software are the best players in the field, and the choice should largely depend on factors such as the size of the company, type of work, and skill of the workforce involved.

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