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Power BI

Is Power BI better than Tableau?

When it comes to business intelligence and data visualisation, there are many players, including new ones emerging day in and day out. Nevertheless, the most considered tools are Power BI and Tableau. That’s because they have a great blend of brand recognition, reasonable prices and ease of use.


Microsoft Power BI And Tableau

PowerBi Tableau Comparision Table - Dynamic Web Training
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As much as the duo are the market front-runner, the troubles don’t end there. They are very similar, making it hard to figure out the best option. That has led to intense debates and discussions. For instance, we have a common one. Is Power BI better than Tableau? The answer to this million-dollar question remains a mystery to many people. Are you one of them? If yes, look no further. This article puts the matter to rest. Therefore, keep reading as we solve this bone of contention.


What is Power BI?

Power BI is a data visualisation software compatible with all Microsoft applications. Despite its 2013 launch, it is still one of the most preferred platforms. However, looking back, it is clear that Power BI has come a long way. That’s because the developers keep striving to ensure clients get the best possible customer experience. As a result, it is now comparable with Tableau, which has been a giant since time immemorial. It uses existing systems such as Excel, SQL, Office 365, and Azure. That, combined with Revolution Analytics, which is compatible with the R language, makes it worth considering.


What is Tableau?

On the other hand, Tableau is another data analysis tool that came to light in 2003. Until the emergence of Power BI, it dominated the desired segment. It allows the natural generation of data using reports and dashboards. The platform is not only fully integrated but also extensible. Its design facilitates security enforcement, user access management, and visualisation. That would explain why it has been in the lead for almost two decades.


Let us take a look at a comparison of the two tools

Power BI vs. Tableau

Based on requirements, one may choose Power BI over Tableau and vice versa. However, that is only possible if you are well-informed about both. As a result, we will compare the duo across many aspects. Take a look!


Compatibility

Power BI is compatible with most commonly used operating systems. They include Mac, Windows, and Linux operating systems. On the other hand, Tableau supports only the Mac and Windows Operating Systems.


Cost

Money is a crucial determinant in decision-making. In this case, Power BI will be the better choice if you are operating on a tight budget or don’t want to spend on an analytical tool. That’s because its annual subscription costs only $100. Power BI Desktop is free.

On the other hand, the Tableau subscription will cost you $ 1,000 per year. In addition, Tableau incurs not only upfront costs but also recurring costs for the owner. While those using Power BI can enjoy free cloud-based deployment, their Tableau counterparts must sign a contract and renew it annually.


Mobile Compatibility

When it comes to mobile compatibility, Power BI also leads. After all, it supports Android, Windows, and iOS mobile phones. That is much more than Tableau, which is only compatible with Android and iOS mobile phones.


Deployment

As far as deployment is concerned, the duel ends as a draw. That’s because one can settle for on-premise, cloud or mobile deployment in both cases.


Data Analysis

It totally depends on an individual’s expertise. If you are not an analyst, Power BI is the best option. It has deep functionality while also allowing you to analyse quickly and relatively fast. As for Tableau, its extensive features make it ideal for experts. It enables them to study trends and forecast accurately.


Implementation

Power BI is also the best in terms of ease of implementation. With a simple signing-in process, you are ready to begin. That wouldn’t be said when it comes to Tableau. It has applications that help deploy them if you need a small-scale deployment. However, for enterprises, implementing Tableau would take a few weeks.


Visualization

Based on the visualisation approach, this is a tie unless you consider your preferences and requirements. For instance, Power BI is the most user-friendly platform for uploading datasets. It has a wide range of visualisation blueprints to choose from. As for the features, it has an array, and all you need to do is drag and drop to add what you want at the moment. In the same vein, Tableau is excellent if you have to deal with massive amounts of data. Visualisations and features are also incredible.


Machine Learning

In this case, Tableau has built-in Python machine learning capabilities. As a result, it will not disappoint when it comes to running machine learning operations on your datasets. However, Power BI is an ever-evolving program. It surges ahead in future updates and adaptability to new learning.


Performance

If you are dealing with small data, Power BI is the way to go. Tableau, however, can handle a considerable volume of data without compromising its performance. Power BI has lately started performing well with higher data volumes, too.


PowerBi vs Tableau Feature - Dynamic Web Training
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Here are a few Power BI features that we teach in our course at Dynamic Web Training:


Power BI Features:

  • Share dashboards & reports
  • Receive data, compatible on Desktop & Mobile
  • Create Live, real-time data dashboards
  • Data visualisation with high-standard graphics
  • Evaluating complex data
  • BI Tools for visualisation & reporting
  • Built and shared reports via Power BI
  • Import data from the computer
  • Convert company data into high visuals
  • Great analytical interface
  • Search for visual data
  • Navigation panel
  • Q&A Question Box
  • Help & feedback
  • Office 365

Additional Special Features:

  • Ad Hoc Analysis: Process built for answering specific business-related questions. This feature is used to get data from an existing report.
  • Online Analytical Processing (OLAP): Quick & easy feature to access data from the existing report. Users don’t need to request data from another department; they just point and click.
  • Trend Indicators: Point patterns in the data
  • Ad Hoc Reporting
  • Customizable Dashboard
  • API
  • Activity Dashboard
  • Business Intelligence
  • Dashboard Creation
  • Data Import/Export
  • Data Visualization
  • Graphical Data Presentation
  • Real-Time Analytics
  • Real-Time Reporting
  • Reporting & Statistics
  • Visual Analytics

  • Adobe
  • HP
  • Edsby
  • Fordham University
  • Honeywell
  • Kansas State University
  • Kelly Roofing
  • Pepsi
  • Seattle Seahawks
  • Toshiba

Final Words

Given the comparison, it may be hard to escape your dilemma. However, one can tell the strength of the two tools. As far as the price factor goes, Power BI comes out on top. On the other hand, Tableau offers great functionality. Assuming your data isn’t too large, Power BI is the best choice. It is not only simple to use but also cost-effective to implement and purchase in the first place. It ensures you get great data analysis without breaking the bank. Equally important, you don’t have to be an expert at using it. Thanks to all that, our recommendation is the Power BI.

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By Dynamic Web Training

This article is written by a senior writer at Dynamic Web Training. Our specialist writers are either Microsoft Certified Trainers, Adobe Certified Professionals or Certified Xero Advisors.