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Brief
Looker was acquired by Google (Feb 2020)— see Google for current status.
Looker

Looker

Business Intelligence & Data Analyticslooker.com

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 Jun 23, 2026 by ATDb automated enrichment · Connections updated Jun 29, 2026

Founded
2012
HQ
San Francisco, California, United States
Parent
Connections
80

At a glance

Employees
1001-5000
Funding
$280M
Revenue
$100M-$500M
Stock
NASDAQ:LOOK
72integrations5competitors1corporate family1acquisitions

About

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • 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

Key features

LookML semantic modeling layer for governed, consistent metricsReal-time data exploration connected directly to the data warehouseEmbedded analytics with white-labeling supportMulti-cloud and multi-database connectivityCentralized access controls and data governanceScheduled reports and alertsGit-based version control for LookML modelsPre-built Looker Blocks for rapid deployment

Use cases

Marketing performance analytics and campaign reportingAd spend optimization and attribution analysisCustomer 360 and audience segmentationEmbedded analytics in SaaS productsExecutive and operational dashboardsData democratization across business teamsAgency client reporting portalsPublisher revenue and inventory analytics

Customer segments

Enterprise technology companiesE-commerce and retail brandsMedia and publishing companiesAdTech and MarTech vendorsFinancial services firmsHealthcare organizationsSaaS companies building embedded analytics

Tech & specs

Technology stack

LookML (proprietary modeling language)Google Cloud PlatformBigQueryREST APIGit version controlJavaScript/TypeScript (Looker SDK)SQL

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAAISO 27001FedRAMP (via Google Cloud)

Deployment

Cloud

API

Yes

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