Power Pivot vs Qlik Sense

Developers should learn Power Pivot when working with data analysis, business intelligence, or reporting tasks in Microsoft environments, especially for creating interactive dashboards, financial models, or sales reports that require handling large datasets meets developers should learn qlik sense when building or integrating data analytics solutions for enterprises that require interactive dashboards, real-time data exploration, and self-service bi capabilities. Here's our take.

Power Pivot

Nice Pick

Developers should learn Power Pivot when working with data analysis, business intelligence, or reporting tasks in Microsoft environments, especially for creating interactive dashboards, financial models, or sales reports that require handling large datasets

Pros

• It is particularly useful for scenarios involving data integration from multiple sources, complex calculations like time intelligence or aggregations, and when needing to build scalable models without relying on external databases
• Related to: dax, power-query

Cons

• Specific tradeoffs depend on your use case

Qlik Sense

Developers should learn Qlik Sense when building or integrating data analytics solutions for enterprises that require interactive dashboards, real-time data exploration, and self-service BI capabilities

Pros

• It is particularly useful in scenarios involving complex data relationships, where its associative engine helps uncover hidden insights, and for embedding analytics into custom applications via APIs
• Related to: data-visualization, business-intelligence

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Power Pivot is a tool while Qlik Sense is a platform. We picked Power Pivot based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Power Pivot wins

Based on overall popularity. Power Pivot is more widely used, but Qlik Sense excels in its own space.