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Power BI vs Tableau: How to differentiate top BI Tools

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Power BI vs Tableau: How to differentiate top BI Tools

It goes without saying that business intelligence software is a very essential tool available in the toolkit of majority of business teams. It assists them to gather, enrich, accumulate and visualize all kinds of data to demonstrate to end users and scrutinize for taking razor-sharp strategic decisions.

Whenever we talk about the most common data visualization tools available in the market, Power BI and Tableau often pop up all of a sudden during these discussions.

That is why; we’re about to make a comparison between Power BI and Tableau in order to make things simpler for you while having a look at all the aspects of both solutions. Let’s dive in,

What is Power BI?

Power BI is undoubtedly one of the best Business Intelligence and Data Visualization tool that can easily help you to convert data from some of the various data source into interactive dashboards as well as BI reports. It also offers several software connectors and services.

Microsoft Power BI is a business intelligence tool that assists you to handle data from various sources and offers visualization after the cleaning and integration process. Besides, it also offers a feature of Adhoc report generation that can help a lot in the analysis of the data.

What is Tableau?

Tableau is a very powerful and rapidly growing data visualization tool used in the BI industry. It helps you to simplify raw data into a very convenient comprehensible format.

It is true that data analysis is very rapid with Tableau, and the visualizations created are in the shape of dashboards and worksheets. This allows professionals to comprehend the data that is shaped using Tableau at any level in an organization.

Power BI vs. Tableau: 10 Key Differences between Power BI and Tableau

1. Data Sources

As far as Power BI is concerned, it has restricted access to various other servers and databases ( SQL, SAP HANA, Oracle Database, etc.)

When we talk about tableau, it has access to a vast number of a variety of servers and database source including JSON, PDF, SQL Server, MySQL, real statistical reports, Microsoft documents, and Oracle Redshift to name a few.

2. Data Capability

When it comes to Power BI, every group or workspace can easily handle up to 10 GB of data in it and more than 10 GB of data in cloud or Azure. If we generally speak about a local database, then Power BI just pulls the data without importing it.

As far as Tableau is concerned, it works on the base structure of columns that allows distinguished values to be stored for each column. This kind of organisation allows milliards of records or rows to be fetched.

3. Data Visualization

Just in case if you are looking for a data analysis application for any kind of personalized data visualization, the best option in that case would be Power BI.

It will easily allow you to drag and drop elements through a sidebar and also to import the data. The amazing part is that it offers a software development kit to convert data from several sources to interactive reports as well as dashboards.

If we talk about data visualizations using Tableau, in the form of worksheets or dashboards, you can get a more streamlined and neat approach. For the majority part, Tableau is used to stand for larger data sets coming from a variety of sources, and it has extra drill down functionality.

4. Performance

Comparatively, Tableau can easily handle huge quantities of data from numerous data sources.

On the other hand, Power BI can handle a rather small amount of data, giving Tableau an extra point in this parameter.

5. Machine Learning

Power BI is incorporated with Microsoft Azure as it can easily help in analyzing the data and comprehending the trends and patterns of the product/business.         

Python machine learning capabilities are inbuilt with Tableau while making it more effective for performing Machine Learning operations over the datasets.

6. Target Audience

The target audience of Power BI Tools is naive as well as experienced users.

On the other hand, Analysts and Experienced users use Tableau for their analytics purposes even though access is convenient and simple.

7. Integration

Power Bi can work flawlessly with a variety of data sources such as SharePoint, Azure power flow, power apps, 365 Excel and quite a few other Microsoft products.

On the other hand, Tableau is used with many outsourcing platforms such as Microsoft-based platforms and also outsource-based tools for a more flexible approach.

8. Customer Support

Comparatively, Tableau has a strong customer support and has several community forums for the discussions. The coolest part is that it has classified the support into online, desktop as well as server support.

On the other hand, Power BI offers limited customer support.

9. Pricing

Power BI is priced comparatively lower than the Tableau. There are two subscription plans that it sells – Pro and Premium.

Costs for Power BI Pro imitate from $9.99 per user per month. It offers 60 Free Trial days. The Premium package starts with annual subscription at as many as $4,995 per dedicated cloud computing and storage space.

Tableau offers teams and organizations ‘ accounts for Creator, Explorer, as well as Viewer.

Moreover, you will be able to use the application free of charge for as many as 14 days. Tableau Creator subscription costs for one month is $70 per user, while Tableau Explorer costs as many as $35 per user for one month. As far as Tableau Viewer is concerned, it costs $12 per user for one month, which is a bit higher than the Power BI subscription.

10. Learning Curve

Power BI is pretty simple for the learners as compared to Tableau. Even though it not very hard to know and comprehend Tableau, it just takes a bit more comprehensive terminology awareness.

Wrapping Up

Power BI can be a comparatively better choice for small businesses as it offers more accessible business solutions.  On the other hand, Tableau allows huge quantities of data points to be combined for analysis from a variety of data sources that is perfect for data scientists.

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