Provides a unified semantic layer through LookML that ensures consistent business metrics across organizations while enabling self-service analytics and embedded reporting capabilities.
Last updated Mar 8, 2026 by AI Enrichment
Leading enterprise BI platform within Google Cloud ecosystem
Looker is a business intelligence and data analytics platform that enables organizations to explore, analyze, and share real-time business analytics. Founded in 2012, Looker differentiated itself through its unique modeling layer (LookML) that allows data analysts to define business logic once and reuse it across the organization, ensuring consistent metrics and reducing redundant work. The platform connects directly to databases and provides interactive dashboards, embedded analytics, and data exploration capabilities. In 2019, Google acquired Looker for $2.6 billion, integrating it into Google Cloud Platform as a key component of its data analytics and business intelligence offerings. Since the acquisition, Looker continues to operate as a distinct product within Google Cloud, serving enterprise customers who need sophisticated data modeling and analytics capabilities. The platform has been enhanced with deeper integrations into Google Cloud's ecosystem, including BigQuery and other Google Cloud services. While Looker is not strictly an AdTech platform, it serves the AdTech ecosystem by providing analytics and reporting capabilities that help advertising technology companies, publishers, and marketers analyze campaign performance, audience data, and advertising metrics. Many AdTech companies use Looker to build internal dashboards and customer-facing analytics for their advertising platforms.
Core business intelligence platform with data modeling, exploration, and visualization capabilities
Proprietary modeling language that defines data relationships and business logic as code
White-label analytics that can be embedded into applications and customer-facing products
Pre-built data models and visualizations for common data sources and use cases