Looker
Google Cloud's enterprise business intelligence and data analytics platform
Founded
2012
Starting Price
Custom
Category
Analytics & BI
Last updated April 27, 2026
About Looker
Looker is Google Cloud's enterprise business intelligence platform that enables organizations to explore, analyze, and share real-time business analytics. Built on LookML, a proprietary semantic modeling language, it provides a unified data layer for consistent metrics across dashboards, embedded analytics, and API-driven data applications. Looker integrates deeply with BigQuery and the broader Google Cloud ecosystem, offering AI-powered conversational analytics via Gemini.
Pros & Cons
Pros
- Powerful LookML modeling language ensures consistent metrics across the entire organization
- Deep native integration with Google Cloud and BigQuery ecosystem
- AI-powered conversational analytics via Gemini for natural language data queries
- Strong embedded analytics capabilities for building data products
- Git-based version control for data models enables proper development workflows
Key Features
LookML Semantic Modeling
Define business metrics and relationships in a version-controlled modeling language that ensures consistent definitions across all reports and dashboards
Conversational Analytics
AI-powered natural language interface powered by Gemini that lets users ask data questions in plain English and receive visualized answers
Interactive Dashboards
Build and share interactive, real-time dashboards with drill-down capabilities, cross-filtering, and scheduled delivery
Embedded Analytics
Embed fully interactive dashboards and data experiences into external applications using robust APIs and iframe integration
BigQuery Integration
Native deep integration with Google BigQuery for fast querying of petabyte-scale datasets with optimized performance
Data Exploration
Self-service data exploration with point-and-click interface allowing business users to create custom reports and discover insights
Action Hub
Pricing
Standard
Custom/year
- Up to 50 users
- 1 production instance
- 10 Standard Users
- 2 Developer Users
- 1,000 query API calls/month
Best For
Enterprise Data Analytics
Centralize business metrics with a governed semantic layer so all teams work from the same data definitions and trusted numbers
Embedded Customer Analytics
Build white-labeled analytics dashboards into SaaS products to provide customers with self-service data exploration
Customer Segmentation & LTV
Leverage BigQuery ML models within Looker to segment customers, predict churn, and calculate lifetime value at scale
Executive Reporting
Create real-time C-suite dashboards with scheduled delivery, drill-down capabilities, and mobile-optimized views
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