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Looker

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uuid00005tw

Namestring
Looker
Legal namestring
Looker Data Sciences, Inc.
Websiteurl
looker.com
Company typeenum
Private
Founded yearint
2012
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
501–1,000
akta.pro rankint
HeadquartersSanta Cruz, United States
HQ citystring
Santa Cruz
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
enterprise business intelligence, embedded analytics platform, semantic data modeling, cloud BI solutions, AI-powered analytics
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Integrated Systems Design7373
Product category
Business Intelligence and Analytics Platform
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model3 records
1Platform Licensing
TypeSubscription Recurring
Description

Looker Core on Google Cloud platform pricing covers the cost to run a Looker instance, including platform administration, integrations, and semantic modeling capabilities. Annual commitment required with three editions: Standard, Enterprise, and Embed.

cloud.google.com
2User Licensing
TypeSubscription Recurring
Description

Individual user licensing with three tiers: Developer users (full platform access including Administration, Development Mode, API interfaces), Standard users (dashboards, exploration, scheduling capabilities), and Viewer users (view-only access to dashboards and content).

cloud.google.com
3API Usage
TypeUsage Based
Description

Volume-based API call limits per edition (1,000 to 500,000 query-based API calls per month; 1,000 to 100,000 administrative API calls per month depending on edition).

cloud.google.com
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Pricing details6 tiers
1Standard Edition - For small organizations with fewer than 50 users
ModelSubscriptionBilling cadenceAnnual
Notes

Includes one production instance, 10 standard users, 2 developer users, upgrades, up to 1,000 query-based API calls per month, and up to 1,000 administrative API calls per month. Annual commitment required.

cloud.google.com
2Enterprise Edition - For wide variety of internal BI and analytics use cases
ModelSubscriptionBilling cadenceAnnual
Notes

Includes one production instance, 10 standard users, 2 developer users, upgrades, up to 100,000 query-based API calls per month, and up to 10,000 administrative API calls per month. Annual commitment required.

cloud.google.com
3Embed Edition - For deploying external analytics and custom applications at scale
ModelSubscriptionBilling cadenceAnnual
Notes

Includes one production instance, 10 standard users, 2 developer users, upgrades, up to 500,000 query-based API calls per month, and up to 100,000 administrative API calls per month. Annual commitment required.

cloud.google.com
4Developer User Licensing
ModelPer seatBilling cadenceAnnual
Notes

Full access to all Looker interfaces including Administration, LookML Models, Development Mode, Folders, Boards, Dashboards, Looks, Explore, SQL Runner, Scheduling, Looker API interfaces, and Support.

cloud.google.com
5Standard User Licensing
ModelPer seatBilling cadenceAnnual
Notes

Access to Folders, Boards, Dashboards, Looks, Explore, SQL Runner, and Scheduling. Includes data filtering, drill-to-row-level-detail, data downloads, Dashboard/Look creation, and view-only access to LookML.

cloud.google.com
6Viewer User Licensing
ModelPer seatBilling cadenceAnnual
Notes

Access to Folders, Boards, Dashboards, and Looks. Includes data filtering, drill-to-row-level-detail, Scheduling, data downloads, and view-only access to LookML. No Dashboard/Look creation capability.

cloud.google.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 4 records shown
1Looker Blocks
Description

Pre-built pieces of code including optimized SQL patterns, data models, and custom visualizations for accelerating analytics implementations.

+3 more records
Core offering1 text field

Looker is an enterprise Agentic BI platform delivered as Looker Core on Google Cloud, providing governed business intelligence, data applications, and embedded analytics. The platform centers on the proprietary LookML semantic layer that defines metrics as a single source of truth, Gemini-powered Conversational Analytics for natural language querying, and Dashboard Agents that autonomously interpret and execute on data. It is sold in Standard, Enterprise, and Embed editions with annual subscription pricing, per-seat user licensing, and tiered API usage.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • 40% reduction in report generation time
+1 more record
Product overview1 text field

Looker is an enterprise Business Intelligence (BI) platform that operates as the experience layer for Google Cloud's Agentic Data Cloud. The platform is built around a composable architecture consisting of: (1) Looker Core on Google Cloud - the main BI platform available in Standard, Enterprise, and Embed editions, with platform and user-based pricing; (2) LookML (Looker Modeling Language) - the proprietary semantic layer that creates a single source of truth by defining business logic once and translating complex SQL into business language; (3) Conversational Analytics - Gemini-powered natural language querying that transforms static dashboards into active workspaces; (4) Dashboard Agents - AI agents providing instant summaries and executing on data within BI canvases; (5) Embedded Analytics - capabilities for building custom data apps and embedding analytics in customer-facing applications; and (6) Looker Marketplace - containing pre-built Blocks (Cloud Cost Management, Google Marketing Platform blocks), Applications (LookML Diagram, Machine Learning Accelerator, Data Dictionary), and Actions (Slack, Google Cloud Storage, Segment integrations). The platform integrates natively with Google BigQuery, Google Marketing Platform products (GA4, GA360, Campaign Manager, DV360, Search Ads 360, Google Ads), Google Workspace, and supports multiple data warehouses including Amazon Redshift, Athena, and Azure Synapse.

Product and service2 records
1Looker Core on Google Cloud
CategoryBusiness Intelligence Platform
Description

Enterprise business intelligence platform running on Google Cloud infrastructure, providing platform administration, integrations, semantic modeling capabilities, dashboards, exploration, and API access. Delivered in three editions (Standard, Enterprise, Embed) with annual subscription, per-seat user licensing, and tiered API usage limits for enterprise customers needing governed, AI-enabled analytics.

2Looker Embedded Analytics
Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-04-29
Description

Looker operates as a core component of Google Cloud's business intelligence offerings. Google provides the underlying infrastructure (Google Cloud), AI capabilities (Gemini), and distribution channels. The partnership enables deep integration with BigQuery and other Google Cloud services.

Strategic tierCoreTypeTechnology or Integration
Description

Looker integrates natively with BigQuery as the primary data warehouse. BigQuery provides the data storage and processing foundation while Looker provides the semantic layer and visualization/exploration interface. Together they form a 'dynamic data analytics powerhouse'.

Strategic tierCoreTypeTechnology or Integration
Description

Looker Blocks for Google Marketing Platform include Google Analytics 4, Google Analytics 360, Campaign Manager, Display & Video 360, and Search Ads 360. Actions enable Customer Match and Data Import activation paths.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Looker integration with Google Cloud encompasses enterprise-ready BI platform capabilities, with Gemini models being brought to Looker for conversational AI agents using private data.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Market position
Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers3 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration17 records

Each record includes

Title, Type, Description, Source

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles14 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance7 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds7 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors15 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Looker

Business Intelligence and Analytics Platformlooker.com

Looker firmographics

Firmographics
Name
Looker
Legal name
Looker Data Sciences, Inc.
Website
https://looker.com
Company type
Private
Founded year
2012
Operating status
Operating
Headcount range
501–1,000 employees
Ownership category
akta.pro rank

Where Looker is headquartered

Location

Headquarters

HQ city
Santa Cruz
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Looker business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. Platform Licensing: Looker Core on Google Cloud platform pricing covers the cost to run a Looker instance, including platform administration, integrations, and semantic modeling capabilities. Annual commitment required with three editions: Standard, Enterprise, and Embed.
  2. User Licensing: Individual user licensing with three tiers: Developer users (full platform access including Administration, Development Mode, API interfaces), Standard users (dashboards, exploration, scheduling capabilities), and Viewer users (view-only access to dashboards and content).
  3. API Usage: Volume-based API call limits per edition (1,000 to 500,000 query-based API calls per month; 1,000 to 100,000 administrative API calls per month depending on edition).

Pricing tiers

ModelBillingPrice
SubscriptionAnnualStandard Edition - For small organizations with fewer than 50 users
SubscriptionAnnualEnterprise Edition - For wide variety of internal BI and analytics use cases
SubscriptionAnnualEmbed Edition - For deploying external analytics and custom applications at scale
Per seatAnnualDeveloper User Licensing
Per seatAnnualStandard User Licensing
Per seatAnnualViewer User Licensing

Go-to-market motion1 record

Distribution channels3 records

Marketing channels4 records

Looker product offering

Product offering

Core offering

Looker is an enterprise Agentic BI platform delivered as Looker Core on Google Cloud, providing governed business intelligence, data applications, and embedded analytics. The platform centers on the proprietary LookML semantic layer that defines metrics as a single source of truth, Gemini-powered Conversational Analytics for natural language querying, and Dashboard Agents that autonomously interpret and execute on data. It is sold in Standard, Enterprise, and Embed editions with annual subscription pricing, per-seat user licensing, and tiered API usage.

Product overview

Looker is an enterprise Business Intelligence (BI) platform that operates as the experience layer for Google Cloud's Agentic Data Cloud. The platform is built around a composable architecture consisting of: (1) Looker Core on Google Cloud - the main BI platform available in Standard, Enterprise, and Embed editions, with platform and user-based pricing; (2) LookML (Looker Modeling Language) - the proprietary semantic layer that creates a single source of truth by defining business logic once and translating complex SQL into business language; (3) Conversational Analytics - Gemini-powered natural language querying that transforms static dashboards into active workspaces; (4) Dashboard Agents - AI agents providing instant summaries and executing on data within BI canvases; (5) Embedded Analytics - capabilities for building custom data apps and embedding analytics in customer-facing applications; and (6) Looker Marketplace - containing pre-built Blocks (Cloud Cost Management, Google Marketing Platform blocks), Applications (LookML Diagram, Machine Learning Accelerator, Data Dictionary), and Actions (Slack, Google Cloud Storage, Segment integrations). The platform integrates natively with Google BigQuery, Google Marketing Platform products (GA4, GA360, Campaign Manager, DV360, Search Ads 360, Google Ads), Google Workspace, and supports multiple data warehouses including Amazon Redshift, Athena, and Azure Synapse.

Differentiator

Problem solved

Functional benefit

Brands

  • Looker Blocks: Pre-built pieces of code including optimized SQL patterns, data models, and custom visualizations for accelerating analytics implementations.
  • LookML Diagram
  • Machine Learning Accelerator
  • Data Dictionary

Products and services

  • Looker Core on Google Cloud Enterprise business intelligence platform running on Google Cloud infrastructure, providing platform administration, integrations, semantic modeling capabilities, dashboards, exploration, and API access. Delivered in three editions (Standard, Enterprise, Embed) with annual subscription, per-seat user licensing, and tiered API usage limits for enterprise customers needing governed, AI-enabled analytics.
  • Looker Embedded Analytics

Quantifiable outcome

  • 40% reduction in report generation time
  • +1 more outcomes

Companies that use Looker

Customer profile

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Looker technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration17 records

AI capability8 records

Feature5 records

Looker partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core.

  • GooglecoreStrategic or Co-development Partner · 29 April 2025Looker operates as a core component of Google Cloud's business intelligence offerings. Google provides the underlying infrastructure (Google Cloud), AI capabilities (Gemini), and distribution channels. The partnership enables deep integration with BigQuery and other Google Cloud services.
  • Google BigQuerycoreTechnology or IntegrationLooker integrates natively with BigQuery as the primary data warehouse. BigQuery provides the data storage and processing foundation while Looker provides the semantic layer and visualization/exploration interface. Together they form a 'dynamic data analytics powerhouse'.
  • Google Marketing PlatformcoreTechnology or IntegrationLooker Blocks for Google Marketing Platform include Google Analytics 4, Google Analytics 360, Campaign Manager, Display & Video 360, and Search Ads 360. Actions enable Customer Match and Data Import activation paths.
  • Google CloudcoreStrategic or Co-development PartnerLooker integration with Google Cloud encompasses enterprise-ready BI platform capabilities, with Gemini models being brought to Looker for conversational AI agents using private data.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Looker competitors and assessment

Company assessment

Market position

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

Looker social profiles

Digital presence

Looker compliance and trust

Trust signal

Compliance7 records

Looker financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Looker leadership team

Management profile

Number of profiles

Profiles14 records

Looker funding detail

Funding detail

Funding overview

Funding rounds7 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Looker M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Looker

What does Looker do?

Looker is an enterprise Agentic BI platform delivered as Looker Core on Google Cloud, providing governed business intelligence, data applications, and embedded analytics. The platform centers on the proprietary LookML semantic layer that defines metrics as a single source of truth, Gemini-powered Conversational Analytics for natural language querying, and Dashboard Agents that autonomously interpret and execute on data. It is sold in Standard, Enterprise, and Embed editions with annual subscription pricing, per-seat user licensing, and tiered API usage.

Is Looker a public or private company?

Looker is a private company. It is classified as corporate owned and is currently operating.

When was Looker founded?

Looker was founded in 2012. It employs 501 to 1,000 people.

Where is Looker based?

Looker is headquartered in Santa Cruz, United States, in the North America region.

How does Looker make money?

Three revenue lines are on record. Platform Licensing is the primary driver. The others are user Licensing and API Usage.

Does Looker have an API?

Yes. Looker offers a comprehensive API platform enabling developers to build custom data experiences and AI-first data applications. The Looker API allows developers to create multi-turn conversational workflows with AI-powered recommendations while providing underlying SQL query and explanation for complete verifiability. The API supports programmatic access to Looker Explores, enabling developers to extend conversational capabilities beyond the standard UI. Key capabilities include: accessing Looker interfaces (Administration, LookML Models, Folders, Boards, Dashboards, Looks, Explore, SQL Runner, Scheduling), building custom multi-turn agentic workflows, integrating with existing user authentication and management of the Looker SDK, and extending capabilities into customer-facing applications. API tiers include up to 1,000 query-based API calls per month (Standard), up to 100,000 query-based API calls per month (Enterprise), and up to 500,000 query-based API calls per month (Embed edition). Administrative API calls are limited to 1,000/month (Standard), 10,000/month (Enterprise), and 100,000/month (Embed). Developer documentation is at docs.cloud.google.com/looker/docs/api-overview.

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Live signals
WikipediaLooker (company): Difference between revisionsLooker was founded in California in 2012 and develops a business intelligence platform for data exploration and analysis. Google announced the acquisition of Looker for $2.6 billion in 2019, which was finalized in 2020.ItbriefGoogle Cloud adds agentic workflows to Looker analyticsGoogle Cloud has introduced Looker Agentic Workflows in preview for its Looker analytics platform, adding automated metric monitoring and root-cause analysis capabilities to its existing Conversational Analytics tool. The feature allows users to set up recurring monitoring routines through a chat interface and automatically runs Key Driver Analysis when monitored metrics breach defined thresholds, sending diagnostic summaries via Slack or email. The update is part of a broader industry trend of vendors adding AI-based assistants to data and analytics products, with Looker Agentic Workflows available in preview for Looker version 26.08 and later.Learn HubI Evaluated 6 Best Analytics Platforms on G2 for 2026A content specialist at G2 evaluated six analytics platforms—Microsoft Power BI, Tableau, SAS Viya, Databricks, Looker, and Domo—based on G2 user reviews and research to assess their data visualization, governance, AI, and self-service analytics capabilities for 2026. The article provides detailed strengths, limitations, and ideal use cases for each platform, with Databricks rated highest at 4.6 stars and Power BI at 4.5 stars on G2. Each platform targets different audiences, from Microsoft ecosystem users and visualization-focused teams to enterprise organizations requiring governed analytics and AI workflows.InfinisynapseBest Data Analysis Software for Reporting & AI in 2026InfiniSynapse published a buyer's guide ranking eight data analysis and BI software tools by weighted score across seven evaluation dimensions for multi-source AI analysis at enterprise scale, with InfiniSynapse ranked first at 4.30/5.00, followed by Power BI (3.95), Tableau (3.85), Looker (3.35), Hex and Sisense (3.30 each), Mode (3.20), and Julius AI (3.10). The guide discloses that InfiniSynapse is one of the ranked tools and that the publisher holds a conflict of interest, mitigating this through a published 12-task test protocol, external reviewer verification, and independent third-party ratings reproduction. The article is a product comparison and marketing piece, not a news report on recent events or developments.QuerioWhich AI is best for data analysisThe article compares several AI tools for data analysis, including Tableau AI, Looker AI, Microsoft Power BI AI, and Querio, highlighting their features, strengths, and ideal use cases. It discusses recent updates, real-world examples, and industry-specific recommendations, emphasizing how these tools enhance data insights and decision-making.QuerioNatural language data querying toolsThis article reviews and compares three natural language data querying platforms—Querio, Tableau AI, and Looker AI—evaluating their NLP capabilities, database integrations, visualization features, and collaboration tools for both technical and non-technical users. The comparison highlights key differentiators including pricing structures ($115/user/month for Tableau AI Creator, $5,000/month starting for Looker AI), integration ecosystems (Salesforce for Tableau AI, Google Cloud for Looker AI), and specific use case advantages for organizations. The article positions these tools as democratizing data access by replacing complex SQL queries with conversational methods, citing examples such as Bank of America's Erica assistant serving 19.5 million users and KPMG's Ignite platform reducing document processing time by 60%.ALM CorpIs Looker Studio the Same as Data Studio? Differences, Rename History & Looker vs Data StudioThe article discusses the evolution of Google’s self-service reporting product, including its renaming from Google Data Studio to Looker Studio and back to Data Studio, as well as the introduction of Looker as an enterprise BI platform. It clarifies the differences in product roles, strategic positioning, and how the nomenclature affects users' understanding and usage.ShearwaterdataWhat Is Looker? The Complete 2026 Guide to Looker (Google’s Business Intelligence Platform)This article is a comprehensive practitioner guide explaining Looker, Google's business intelligence and analytics platform, covering its semantic layer architecture that centralizes data definitions and governance by querying live data from cloud warehouses. The guide traces Looker's history from its founding in 2013 by Lloyd Tabb in Santa Cruz, California, through Google's $2.6 billion acquisition in 2019, to its 2026 position as an AI-powered analytics platform. The article compares Looker with competitors including Power BI, Tableau, Omni Analytics, and Sigma Computing, and notes that Google consolidated Looker Support with general GCP Support in 2025, reducing the high-touch service model that originally differentiated the platform.Zenlytic10 Best AI Analytics for Real-Time Data Ranked by Use Case and PerformanceThis article is a buyer's guide ranking 10 AI analytics tools for real-time data processing, including Zenlytic, ThoughtSpot, Tableau, Power BI, Databricks AI/BI Genie, Looker, SAP Analytics Cloud, Amazon QuickSight, Snowflake Intelligence, and Wisdom AI.GooddataComparing the Best Enterprise Data Analytics PlatformsThis article is a structured buyer's guide comparing 11 enterprise data analytics platforms (GoodData, Tableau, Power BI, Qlik, Looker, SAS, IBM Cognos Analytics, Adobe Analytics, Domo, Sisense, and ThoughtSpot) across eight evaluation criteria: multitenancy, semantic governance, AI capabilities, security, scalability, integration, deployment flexibility, and pricing. The article evaluates each platform as a potential solution for enterprise analytics needs including multi-tenant SaaS, embedded analytics, and governed AI at scale, with the final section promoting GoodData as the recommended choice for organizations requiring true architectural multitenancy, centralized semantic governance, and AI-ready architecture.