Looker logo

Looker

Modern BI on Google Cloud that turns governed data into trusted dashboards explores and semantic metrics while giving teams row level control and scale.
data
Category
Beginner
Difficulty
Active
Status
Web App
Type

What is Looker?

Discover how Looker can enhance your workflow

Looker is Google Cloud’s enterprise business intelligence layer that lets teams define metrics once in a central semantic model then ship consistent dashboards self-serve explores and governed data applications. Using LookML you translate warehouse tables into reusable views joins and measures so analysts stop duplicating logic in ad hoc SQL. Business users explore safely with row level policies schedules and alerting while developers extend the model into embedded analytics and partner-facing portals. Looker connects natively to BigQuery and leading cloud warehouses and runs queries in place so it scales with your compute. Content governance spans folders permissions version control and development branches to keep production clean as teams iterate. For data leaders the value is durable definitions and auditability that survive headcount changes and tool churn. For product teams it is a framework to power customer analytics without building a BI stack from scratch.

Key Capabilities

What makes Looker powerful

Semantic LookML

Translate tables into reusable dimensions and measures with joins validations and tests so definitions survive tool and team changes.

Implementation Level Professional

Trusted self serve

Give business users safe explores dashboards and schedules with row level policies and lineage so decisions are consistent.

Implementation Level Professional

Embedded analytics

Ship partner portals and in product dashboards through APIs actions and components without reinventing BI.

Implementation Level Intermediate

Dev and governance

Branch review and promote modeling changes under version control with permissions audits and alerts for reliability.

Implementation Level Intermediate

Key Features

What makes Looker stand out

  • Unified metrics layer: Define measures in LookML once and reuse across every chart and export without drift
  • In place query engine: Push down to your cloud warehouse for scale while keeping governance and lineage intact
  • Row level security: Apply policies so each audience sees only the records permitted by governance rules
  • Versioned modeling: Develop in branches review changes and promote semantic updates with confidence
  • Trust and audit: Centralize definitions schedules and lineage so decisions are traceable across quarters
  • Extensibility: Embed dashboards or power data apps using APIs actions and components
  • Alerting and schedules: Deliver PDFs CSVs and notifications on KPI thresholds without manual exports
  • Warehouse choice: Connect to BigQuery Snowflake Redshift Databricks for flexibility across teams

Use Cases

How Looker can help you

  • Executive KPI portals that share one definition of revenue and retention
  • Self serve exploration for sales ops and marketing under access policies
  • Customer facing analytics embedded inside SaaS products
  • Finance variance analysis that reuses governed dimensions across models
  • Data apps that trigger actions back to CRMs or tickets from dashboards
  • Partner portals that expose scoped explores for suppliers securely
  • Operational alerting that emails owners when SLAs breach in real time
  • Audit reports that prove metric lineage for board and compliance

Perfect For

data leaders analytics engineers BI developers product managers finance and operations teams who need governed definitions embedded analytics and warehouse scale

Plans & Pricing

Custom pricing

Visit official site for current pricing

Quick Information

Category data
Pricing Model Enterprise
Last Updated 3/19/2026

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Frequently Asked Questions

How does pricing work for Looker?
Looker is sold by quote with a platform component and user licensing tiers reported publicly by Google Cloud and partners to vary by usage and roles.
Can I keep queries inside my warehouse?
Yes Looker pushes queries down to connected warehouses like BigQuery Snowflake and Databricks so scale follows your compute.
Is Looker only for internal BI?
No you can embed dashboards or exposes explores to customers and partners using robust permission scopes and APIs.
How do we prevent metric drift over time?
Define measures in LookML review changes in branches and enforce governance so every dashboard inherits the same logic.
What about data security and access policies?
Apply row level access and folder permissions with complete audit trails to satisfy compliance and least privilege requirements.

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