Webinar recording
Tableau vs. Power BI - The Superstore Challenge

In this webinar, we’re going to put Power BI and Tableau to the test by recreating Tableau’s sample Superstore dashboard. Then we’ll try to answer the four vital questions that every report should answer:
  1. Is my performance good or bad?
  2. How good / how bad?
  3. Why is my performance as it is?
  4. What are we going to do about it?

What's included

Full video recording
PBIX example used in the webinar
Enjoy & thank you for watching! Don't hesitate to reach out if you have any questions — write to us at support@zebrabi.com!

Presenter

Andrej Lapajne

Founder & CEO at Zebra BI

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Get PBIX Example
You can download the PBIX example that we used at the webinar to check how it's done!
Access the materials
(0:00) - Introduction by Andrej Lapajne
(03:39) - Gartner Analysis
(08:47) - Where do these tools come from?
(13:33) - Tableau’s demo dashboard - side by side comparison to Power BI
(58:21) - Extensions in Tableau vs. Custom visuals in Power BI
(1:01:30) - Custom visuals in Power BI - Zebra BI
(01:09:15) - Questions from the audience
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Your Questions

Here are some of the questions that came up during our live session. Thank you for being such a proactive audience. Have more questions? Drop us a note at support@zebrabi.com!
Which tool of the two would you recommend for begginers for basic reporting?

For beginners, Power BI is easier to start with. At an intermediate level, when you want to do something beyond the basics, Tableau has an advantage (labels, moving things around, annotate something, more control over visualization, especially regarding design). When you again grow out of that, you see that Tableau has limitations - you need to use more hacks, tricks, and workarounds to succeed.

Data science uses a bit different visualizations. Which tool do you think is more useful in visualization in data science?

Tableau is stronger for advanced visualization. For example, the scatter plot is better than in Power BI, and if you're a heavy visual type, it has an advantage - although Power BI has a good scatter plot too. On the other hand, Power BI supports Python, you can also use machine learning and a Phyton script.

Which tool handles big data sets better?

It really depends. From what I (Andrej) have read, Power BI is a little bit faster, stronger, and can handle billions of rows in different ways. The database is optimized for a lot of value of information. But also Tableau has a great database engine, it depends on the use-case. But most of the time it is not about the capability of the tool, but how to use it. In both tools, you can have a lot of reasons why a tool can run slower.

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