LookML vs Apache Superset

Developers should learn LookML when working with Looker to build scalable and maintainable data models that ensure data consistency and governance across an organization meets developers should learn apache superset when they need to build interactive dashboards and data exploration tools for business intelligence, as it simplifies the process of connecting to various data sources and creating visualizations without extensive coding. Here's our take.

LookML

Nice Pick

Developers should learn LookML when working with Looker to build scalable and maintainable data models that ensure data consistency and governance across an organization

Pros

• It is particularly useful for data engineers and analysts who need to define business metrics, create derived tables, and manage data access controls in a collaborative environment
• Related to: looker, sql

Cons

• Specific tradeoffs depend on your use case

Apache Superset

Developers should learn Apache Superset when they need to build interactive dashboards and data exploration tools for business intelligence, as it simplifies the process of connecting to various data sources and creating visualizations without extensive coding

Pros

• It is particularly useful in data-driven organizations for monitoring metrics, analyzing trends, and sharing insights across teams, offering features like SQL Lab for advanced queries and a flexible plugin architecture for customization
• Related to: data-visualization, business-intelligence

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. LookML is a tool while Apache Superset is a platform. We picked LookML based on overall popularity, but your choice depends on what you're building.

The Bottom Line

LookML wins

Based on overall popularity. LookML is more widely used, but Apache Superset excels in its own space.