Power BI Vs. Tableau Vs. Qlik
Comparison between Power BI , Qlik and Tableau . There is no absolute winner of this top 3.
“Beware: this article is biased. I love Power BI. However, I am a BI professional; I started working with Business Intelligence several years ago and have accumulated experience that I can share. I will try to be as fair as possible in this post, as the goal of this post is to help you understand the differences between the tools so you can identify which one best suits your needs.”
Data is increasingly being used across the enterprise to enable employees to make better and more efficient decisions. While many organizations have ambitions to do more with data, unfortunately data remains an undervalued business asset in everyday practice. To uncover the full power of data, data discovery and visualization tools are indispensable. In recent years, much has changed in the Data Analytics landscape. Today this is also called modern BI. Modern BI applications have taken a huge flight. The three parties that dominate this market are Power BI (Microsoft), Tableau (Salesforce) and Qlik (Sense and View). But which solution best suits your ambitions? In this blog we show the strengths and weaknesses of the three market leaders. The image below shows how the three market leaders have developed in recent years based on the Gartner Magic Quadrant *.
Power BI vs Tableau vs Qlik
According to the study all three parties score well in ease of use, data visualization, mobile BI, cloud and enterprise insight. Qlik scores well overall, but lags in data discovery. Qlik’s pricing is also a disadvantage. Tableau’s weaknesses are data integration, collaboration or data sharing and also price. Where Power BI lags in the area of dashboarding and on-premises management, it excels in terms of price, ease of use and data sharing.
Power BI – “The Full-Featured Data Discovery Solution”.
Microsoft offers a comprehensive suite of visualization and integration options within Power BI. With Power BI, you can easily gain valuable insights from your data. Power BI offers a tool for data preparation, data discovery and interactive dashboards.
Power BI is a very interesting and comprehensive data discovery solution that scores well with Gartner and other studies for good reason.
Distinctive advantages:
- Simple appearance.
- Office integration.
- Simple license structure.
However, Power BI also has points of attention:
- Limited possibilities for data modeling.
Tableau – “Data Visualization
Tableau is one of the best known tools in the field of self-service BI. Tableau’s position on the business side is an extremely strong one. Traditionally, it is seen that BI and the choice of modern BI is still executed by IT. However, Tableau is often chosen and selected by the business itself.
It offers several benefits:
- Suitable both on-premises and in the cloud (or combination);
- Trend marker;
- Many data visualization options.
Tableau’s points of service are:
- Compared to other vendors, Tableau is often the most expensive solution.
- Limited possibilities with complex data modeling problems.
- Limited vision and roadmap. In recent years, Tableau is no longer the disruptor it used to be (This may change due to the purchase by Salesforce).
All in all, all three are wonderful solutions that dominate the market for good reason. The gap is getting smaller. The development and evolution of these platforms keeps sharpening and ensures better possibilities with data. So, ultimately, it depends on your ambitions and desires which solution suits you best. Are you looking for a more comprehensive comparison between these three tools – our analytics experts are happy to advise you! Please contact us.
Qlik “The Robust Product
Qlik is a data discovery platform that offers self-service BI. The reason Qlik ranks high on the list of organizations is because it is a robust product. It offers several benefits:
- Supports selected displays.
- Close community of users and partners.
- Robust user rights structure.
Qlik’s points of attention are:
- Often limited to simple ad hoc analysis, simple reporting and dashboarding.
- Complex licensing model. The Qlik licensing model has been changed to a model where you can assign tokens to multiple users and not to one named user. However, in practice, you often find that continually changing tokens on another is complex and time consuming.
