Power BI vs Qlik Sense: Choosing the Right Business Intelligence Tool

Power BI vs Qlik Sense

In today’s corporate landscape, harnessing data for informed decision-making is paramount, leading many organizations to compare Power BI and Qlik Sense, two prominent business intelligence platforms. Power BI, developed by Microsoft, is renowned for its robust data visualization capabilities and seamless integration with Microsoft ecosystem tools like Azure and Excel. On the other hand, Qlik Sense, from Qlik, offers powerful self-service analytics with its unique associative data model, allowing users to explore data freely.

Overview of Power BI

Power BI, a cornerstone in business intelligence, simplifies data visualization and analytics within the Microsoft environment. Its integration with Azure and Office 365 enhances usability, providing a familiar platform for users. Key features include robust data modeling with Power Query for ETL processes, empowering users to shape and transform data effortlessly.

Advantages of Power BI:

  • Seamless integration with Microsoft services like Azure and Excel.
  • User-friendly interface with drag-and-drop functionality.
  • Real-time dashboard updates for up-to-the-minute insights.
  • Natural language query capabilities with the Q&A feature.
  • Competitive pricing, including a free version suitable for small to medium-sized businesses.

Disadvantages of Power BI:

  • Complex sharing and licensing for external users.
  • Advanced features like predictive analytics may require additional expertise.
  • Learning DAX and M Query for advanced data modeling.

Overview of Qlik Sense

Qlik Sense stands out with its associative data model, enabling intuitive data exploration without predefined hierarchies. Developed by Qlik, it offers extensive connectivity options and a user-centric approach to analytics, empowering users to create interactive Power BI dashboards and reports independently.

Advantages of Qlik Sense:

  • Associative data model for flexible data exploration.
  • Responsive dashboards adaptable to various devices.
  • Augmented analytics with AI and machine learning.
  • Customizable experience with extensions and open APIs.
  • Comprehensive data pooling and collaborative analytics capabilities.

Disadvantages of Qlik Sense:

  • Steeper learning curve for advanced functionalities.
  • Higher cost, especially for smaller businesses.
  • Limited customization in visualization compared to other tools.
  • Complexity in data load editor and scripting.

Key Features Comparison

Data Modeling:

  • Power BI: Strong with Power Query and DAX for complex analytics.
  • Qlik Sense: Associative data model for intuitive exploration and AI-driven insights.

Visualizations and User Interface:

  • Power BI: Familiar interface for Microsoft users; may require expertise for setup.
  • Qlik Sense: Dynamic user experience with intuitive data exploration.

Augmented Analytics:

  • Power BI: Microsoft AI features with limited natural language capabilities.
  • Qlik Sense: Integrated AI and ML for automated insights and data analysis.

ML and Predictive Analytics:

  • Power BI: Support for R and Python integration.
  • Qlik Sense: Advanced augmented analytics including predictive capabilities.

Platform Architecture:

  • Power BI: Integration with Microsoft ecosystem; Azure and SQL Server support.
  • Qlik Sense: In-memory technology for fast data processing and reduced IT dependency.

Pricing and Licensing Models

Power BI:

  • Free version with basic features; Pro version at $10 per user per month.
  • Premium options for larger organizations with advanced needs.

Qlik Sense:

  • Subscription-based pricing at $30 per user per month.
  • Additional costs for cloud storage and advanced features.


Choosing between Power BI and Qlik Sense depends on your organization’s specific needs and preferences. Power BI excels in ease of use and integration with Microsoft tools, making it ideal for businesses already invested in the Microsoft ecosystem. TechCronus Australia recognizes that Qlik Sense, with its associative data model and advanced analytics capabilities, offers deeper insights and flexibility in data exploration, albeit at a higher cost and with a steeper learning curve.

For businesses seeking a cost-effective solution with strong integration capabilities, Power BI is a pragmatic choice. Its scalable features and robust community support ensure businesses can quickly leverage data insights to drive growth and innovation.