Motion
AI calendar, tasks and projects


Business intelligence and data applications
Google Cloud's BI platform with a semantic modeling layer (LookML).
Google Cloud's enterprise BI platform built on the LookML semantic modeling layer, with governed data and embedded analytics, sold by custom quote across three editions.
Looker is Google Cloud's enterprise business intelligence platform. Its defining feature is LookML, a modeling layer that defines metrics and relationships once so everyone queries consistent, governed data. It's distinct from the free Looker Studio.
Looker takes a modeling-first approach to BI: data teams define metrics, dimensions and relationships in LookML, creating a single source of truth that business users then explore through dashboards and reports without writing SQL. It queries your cloud data warehouse (especially BigQuery) directly rather than storing data, and is strong at governed analytics and embedding dashboards into other products.
Since Google acquired Looker in 2020, it's fully part of Google Cloud, with costs appearing on your GCP bill. Google publishes no list prices, every edition is quoted through sales on an annual commitment. The three editions (Standard, Enterprise, Embed) each include one production instance, 10 Standard and 2 Developer users, with more licensed per seat (Developer, Standard, Viewer). Editions differ mainly by API-call limits and security.
Reported market data puts Standard around $60,000/year, Enterprise around $100,000-200,000, and Embed (platform plus usage) from $80,000 to $500,000+. Warehouse (BigQuery) compute and LookML engineering are separate, material costs. Note: Looker is not Looker Studio, the free/Pro dashboard tool.
Define metrics once for consistent, governed data across the org.
Queries your cloud data warehouse directly; strong governance.
No public list prices; every edition is quoted via Google Cloud sales.
The Embed edition powers customer-facing analytics at scale.
Best for
Company
Subscription
Free plan available
Web, API
Semantic modeling layer for metrics and relationships.
Governed dashboards and self-serve exploration.
Queries your cloud warehouse directly (e.g. BigQuery).
Embed Looker in apps (Embed edition).
Centralised, version-controlled data definitions.
AI/conversational analytics with token allowances.
Quote-only (reported ~$60,000/year). For teams under ~50 users. 1 production instance, 10 Standard + 2 Developer users, up to 1,000 query-based API calls/month.
Quote-only (reported ~$100,000-200,000/year). Adds enhanced security; up to 100,000 query-based API calls/month.
Quote-only (platform plus usage, reported ~$80,000-500,000+/year). For external/embedded analytics at scale; up to 500,000 query-based API calls/month.
Pricing model: Subscription
Pricing last verified September 2026
View current pricingStructured information about this product, for people and AI systems.
Looker is Google Cloud's enterprise BI platform built on the LookML semantic modeling layer, with governed data and embedded analytics. It queries your warehouse directly and is sold by custom quote across Standard, Enterprise and Embed editions, each including 1 instance and 10 Standard + 2 Developer users.
Reported: Standard ~$60K/year, Enterprise ~$100-200K, Embed $80-500K+. It's distinct from the free Looker Studio.
0.0
Based on 0 reviews
Be the first to review Looker.
Write a reviewAI calendar, tasks and projects
Free AI meeting notetaker