Looker
Looker enables organizations to define a single source of truth for their data through LookML, delivering consistent, governed insights across teams and embedded directly into applications.
Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 29, 2026
- Industry
- Business Intelligence & Data Analytics
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 1001-5000
- Funding
- $280M
- Revenue Range
- $100M-$500M
- Stock Symbol
- NASDAQ:LOOK
- Parent Company
- Alphabet Inc.
- API Available
- Yes
A leading cloud-native BI platform within Google Cloud's data analytics suite, known for its governed semantic layer and embedded analytics capabilities
Looker is a cloud-based business intelligence (BI) and data analytics platform that empowers organizations to make data-driven decisions through intuitive data exploration, visualization, and reporting tools. Founded in 2012 by Lloyd Tabb and Ben Portnoy, Looker introduced a novel modeling language called LookML, which allows data teams to define business metrics and logic in a centralized, reusable way — ensuring consistency across all reports and dashboards. This approach distinguished Looker from traditional BI tools and made it particularly attractive to data-mature enterprises seeking a governed, scalable analytics solution. In 2019, Google acquired Looker for approximately $2.6 billion, one of the largest acquisitions in the BI space at the time. Looker now operates as a core component of Google Cloud's data and analytics portfolio, sitting alongside BigQuery, Dataflow, and other Google Cloud services. The platform continues to serve thousands of customers globally, ranging from mid-market companies to large enterprises, and has deepened its integration with Google Cloud infrastructure while maintaining support for multi-cloud and on-premise data sources. Within the AdTech and broader data ecosystem, Looker plays a significant role by enabling marketing and advertising teams to unify data from disparate ad platforms, CRMs, and data warehouses into a single source of truth. Its embedded analytics capabilities allow companies to build data products and customer-facing dashboards, making it a versatile tool for agencies, publishers, and ad tech vendors looking to deliver insights at scale.
Looker Studio (formerly Data Studio integration)
Collaborative dashboards and reporting integrated with Google's broader data visualization tools
LookML
A proprietary modeling language that defines business metrics and data relationships in a centralized, reusable semantic layer
Looker Dashboards
Interactive, real-time dashboards for exploring and sharing business data across teams
Embedded Analytics
APIs and SDKs that allow companies to embed Looker's analytics capabilities directly into their own applications and products
Looker Blocks
Pre-built data models and dashboards for common data sources and use cases, accelerating time-to-insight
Looker Actions
Workflow integrations that allow users to trigger actions in third-party tools directly from Looker dashboards
Looker API
A comprehensive REST API enabling programmatic access to Looker's data and functionality