Apache Superset vs Looker

Which no-code tool is better for your project? Compare features, pricing, and more.

Apache Superset

Apache Superset

Open-source data exploration and visualization platform.

4.3
Try Apache Superset
Looker

Looker

Google's enterprise BI platform with semantic modeling.

4.3
Try Looker

Quick Verdict

Apache Superset is best for open-source bi and analytics. Looker is best for enterprise-wide metrics governance. Not sure? Let our AI recommend the right one.

FeatureApache SupersetLooker
PricingFreeContact
Pricing Modelfreeenterprise
Rating4.3/54.3/5
AI Features✗ No✓ Yes
Founded20152012
Company SizeN/A1000+
Key Features
  • 40+ visualization types
  • SQL Lab for advanced querying
  • Dashboard builder with drag-and-drop
  • Data source management
  • Role-based access control
  • LookML semantic modeling layer
  • Self-service data exploration
  • Interactive dashboards and reports
  • Embedded analytics
  • Looker Studio integration
IntegrationsPostgreSQL, MySQL, BigQuery, SnowflakeBigQuery, Snowflake, Redshift, PostgreSQL

Apache Superset — Pros & Cons

Completely free and open-source
Handles large datasets efficiently
Wide database connectivity
Active Apache community
Requires technical setup and maintenance
Less polished UX than commercial tools
Documentation can be inconsistent

Looker — Pros & Cons

Best-in-class semantic layer ensures consistent metrics
Deep Google Cloud and BigQuery integration
Git-based governance is excellent for data teams
Strong embedded analytics capabilities
Enterprise pricing — expensive for small teams
LookML has a significant learning curve
Google Cloud ecosystem dependency

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