If you are here today, that means that you are somewhere between a stage to prioritize the tool for your Business Intelligence journey among Power BI and Tableau. Transformation of the Business Intelligence operations has never been that easy.
Alright! So, let’s get started and deep dive into the nitty-gritty of the data visualization process and choosing the right tool to solve the purpose.
People think that it’s easy to create the visualizations out of the data that we have on our screens.
Thank you for choosing me to clear the clutter…
There are certain stages through which the raw data has to flow before it is presented to the end user with certain appealing visualizations. Here are those stages:
Yet, this package still lacks the profound integrations of the process and their cohesive experience!!!
Power BI comes as a leader here that takes the data from the raw sources and can process it under its own house of capabilities that comprises of Power Query Editor.
It lets you bring the data from different sources and can cater the information under one roof with the processing capabilities of Microsoft’s star- Excel. It has almost everything that one can imagine modifying with subsequent elevations to the data.
Power BI becomes handy when we are required to keep the data to their home tables for referencing and still creating the relationship among different columns of many other tables…
Hurray…
Wait, wait, wait! Not that easy!!!
Do have the deep-rooted understanding of Star Schema? If not, get ready to burn the midnight oil now as star schema is the foundation of data modelling in power BI!
Data modelling is one of the most complex tasks in Power BI that empowers dynamic reporting easy. But one must get their hands dirty to set data flow directions between the tables and restricting the access of the data between the tables.
- Data source selection
- Extract
- Transform
- Load
- Staging
- Semantic Layers, and then comes the
- Data Visualization
- Data Processing Capabilities:


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- Data Modelling Capabilities:


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- Visualization Capabilities:
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- User Interface
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- Pricing Model
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Each of the two tools has their own capabilities that makes them different from one another. But one thing that I admire the most- They both solve the purpose 🙂 Without any superfluous comparisons, let us conclude with the following key take-aways for you:- Power BI Interface is very easy to learn | Tableau is a quite difficult in terms of learning.
- Power BI is used by both the naive and experienced users |Tableau is used by the analysts and experienced- users mostly use it for their analytics requirements.
- Power BI uses DAX for calculating and measuring the columns | Tableau utilizes MDX for its measures and dimensions. (These are the languages used for additional calculations in data)
- Power BI offers many data points to offer data visualization | Tableau wins in its data visualization capabilities.
- Power BI can handle a quite limited volume of data | Tableau BI can handle a massive volume of data with comparatively better performance.
- Power Bl does not work well with massive amount of data | Tableau works best when there is huge data in the cloud.