Looker
A business intelligence platform that combines semantic data modeling with artificial intelligence to enable interactive analytics and dashboards
- Vendor
- Google Cloud
- Also known as
- google-looker
Available worldwide
What is Looker?
Looker is a BI platform that leverages a semantic modeling layer (LookML) and artificial intelligence to help organizations create dashboards, reports, and custom analytics applications. It is available both as a managed cloud service on Google Cloud and as a self-hosted solution, supporting integration with data warehouses and providing features such as row-level security, SQL editing, and scheduled reporting.
What Looker does
The capabilities that matter for bi software, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- BI paradigm
- NLQ / search
- Semantic / modelling layer
- Built-in
- Warehouse-native (SQL push-down)
- ✓
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✓
- Natural-language query / AI copilot
- ✓
- Embedded / white-label analytics
- ✓
- Scheduled reports / alerting
- ✓
- Row-level security & SSO/SAML
- ✓
- Per-seat pricing published
- ✗
- Free tier / free desktop
- ✓
- dbt-native integration
- -
- Data-source connector breadth
- Cloud data warehouses (Snowflake confirmed), OAuth-authenticated data sources
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Self-hosted
Integrations (6)
Independently observed- GitHub⇄•
- GitLab⇄•
- Bitbucket⇄•
- BigQuery⇄•
- Dataplex←•
- Snowflake
Security & compliance
Independently observed- ISO/IEC 27001active · independent third party
Looker FAQ
Common questions about Looker, answered from independent, dated evidence.
What is Looker and what is it used for?
Looker is a business intelligence and embedded analytics platform owned by Google Cloud that helps organizations explore, visualize, and analyze data to support decision-making. It serves business analysts, data teams, and enterprises seeking to build dashboards, create reports, and embed analytics capabilities into custom applications.
Source: https://cloud.google.com/looker
What is LookML and why does Looker use it?
LookML is Looker's proprietary data modeling language that allows developers to define semantic layers, transformations, and business logic on top of raw data. It enables organizations to create a governed, reusable data model that ensures consistent definitions and metrics across all analytics within the platform.
What is the pricing model for Looker?
Looker uses a subscription-based pricing model with three platform editions (Standard, Enterprise, and Embed) requiring annual commitments. Pricing includes both a platform fee and per-user licensing costs based on user type (Developer, Standard, or Viewer). New customers can access a free trial with 300 dollars in Google Cloud credits.
Can you use Looker for free?
Looker does not offer a permanent free tier, but new users can start with a free trial that includes 300 dollars in Google Cloud credits to explore the platform's capabilities. After the trial period, a paid subscription is required to continue using the platform.
Is Looker open source?
No, Looker is a commercial, proprietary software product owned by Google Cloud. The platform is not open source and requires a paid subscription license to use. Google acquired Looker in 2019 and integrates it as part of its cloud analytics offerings.
Source: https://cloud.google.com/looker
What are embedded analytics in Looker and when would you use them?
Embedded analytics refer to integrating Looker dashboards and visualizations directly into third-party applications or custom software, rather than accessing analytics through a separate analytics interface. Organizations use this capability to provide analytics features to end users without requiring them to log into Looker directly, enabling analytics to be embedded in customer-facing applications or internal business systems.
What programming languages and APIs does Looker support for developers?
Looker provides REST APIs that developers can use to build custom applications, automate workflows, and integrate Looker functionality with other tools. Developers can work with LookML for data modeling and use the SQL Runner tool to write custom SQL queries. The APIs enable programmatic access to dashboards, queries, and user management features.
Is Looker cloud-only or can it be self-hosted?
Looker is primarily deployed as a cloud-based service (SaaS) running on Google Cloud Platform, with customers accessing it through web browsers and mobile applications. The platform is not designed for traditional on-premises self-hosting, positioning it as a fully managed cloud solution.
Source: https://cloud.google.com/looker
Looker alternatives
Other bi software we track, ranked by the same independent score.
- CubeAn AI-native analytics platform with a semantic data layer that provides governed, reliable business intelligence to both human users and autonomous agentsmedium · 73%
- PresetCloud-hosted business intelligence platform built on open-source Apache Superset, combining visual dashboards with AI-powered analyticsmedium · 73%
- SisenseData analytics platform for building dashboards and reports from database queriesmedium · 72%
- ThoughtSpotA unified analytics platform providing AI-driven insights with data governance across business applications and workflowslow · 39%
- DomoGoverned Data for AI Agentslow · 33%
- Apache SupersetA self-hosted, open-source platform for building dashboards and exploring SQL datamedium · 63%
Compare Looker
Side by side against other bi software, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Looker, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Reliability | 95 | 0.06 | 6.0 | ✓ |
| Security posture | 70 | 0.06 | 4.4 | ✓ |
| Capabilities | 100 | 0.04 | 4.0 | ✓ |
| Integrations | 22 | 0.05 | 1.1 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | ✓ |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Stackoverflow questions | 2,000 | mediumsource · 2026-07-30 · 65% |
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 8 items | highsource · 2026-07-30 · 91% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Nlq ai: Yes · Hosting: both · Rls sso: Yes · Paradigm: nlq_search · Free tier: Yes · Api access: Yes | mediumsource · 2026-09-04 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-09-04 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-04 · 75% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 30 | mediumsource · 2026-07-30 · 65% |
Reliability
Security
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