Looker vs Redash

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

Looker

Looker

Google's enterprise BI platform with semantic modeling.

4.3
Try Looker
Redash

Redash

Open-source dashboards and SQL-based data visualization.

4.1
Try Redash

Quick Verdict

Looker is best for enterprise-wide metrics governance. Redash is best for sql-based analytics dashboards. Not sure? Let our AI recommend the right one.

FeatureLookerRedash
PricingContactFree
Pricing Modelenterprisefree
Rating4.3/54.1/5
AI Features✓ Yes✗ No
Founded20122015
Company Size1000+N/A
Key Features
  • LookML semantic modeling layer
  • Self-service data exploration
  • Interactive dashboards and reports
  • Embedded analytics
  • Looker Studio integration
  • SQL query editor with auto-complete
  • 35+ data source connectors
  • Chart and dashboard builder
  • Scheduled query execution
  • Alerting on query results
IntegrationsBigQuery, Snowflake, Redshift, PostgreSQLPostgreSQL, MySQL, BigQuery, Redshift

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

Redash — Pros & Cons

Open-source and self-hostable
Simple, SQL-first approach
Wide data source support
Quick setup for technical teams
No longer actively maintained by original team
Limited visualization options
No visual query builder — SQL required

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