Looker vs Metabase
type: WebPage
description: Looker is an enterprise-grade BI platform owned by Google with advanced modeling capabilities and higher costs ($2,000-$5,000+ monthly), while Metabase is an open-source, self-hosted alternative with lower entry costs ($0 self-hosted or $1,000+ SaaS) and simpler setup but fewer advanced features.
language: en-US
is accessible for free: true
conditions of access: Free
is part of: website
date published: 2026-07-09T03:28:58.918Z
date created: 2026-07-09T03:28:58.918Z
date modified: 2026-07-09T03:28:58.964Z
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caption: Looker vs Metabase — Side-by-side comparison on A Versus B

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type: WebPage

Looker vs Metabase
type: Article
type: TechArticle
abstract: Looker is an enterprise-grade BI platform owned by Google with advanced modeling capabilities and higher costs ($2,000-$5,000+ monthly), while Metabase is an open-source, self-hosted alternative with lower entry costs ($0 self-hosted or $1,000+ SaaS) and simpler setup but fewer advanced features.
description: Looker is an enterprise-grade BI platform owned by Google with advanced modeling capabilities and higher costs ($2,000-$5,000+ monthly), while Metabase is an open-source, self-hosted alternative with lower entry costs ($0 self-hosted or $1,000+ SaaS) and simpler setup but fewer advanced features.
language: en-US
main entity of page: Looker vs Metabase
content reference time: 2026-07-09T03:28:58.964Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-09T03:28:58.918Z
date created: 2026-07-09T03:28:58.918Z
date modified: 2026-07-09T03:28:58.964Z
text: Choose Looker if you're an enterprise with complex data modeling needs, large teams, and budget for premium analytics ($30,000+ annually). Choose Metabase if you're a small-to-mid-size team wanting fast time-to-value, lower costs, and prefer open-source flexibility with self-hosting options.
genre: Software
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potential action: Compare Looker vs Metabase
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  additional type: CompareAction
  target: Looker vs Metabase
  object: Looker
  object: Metabase
about: Looker
about: Metabase
mentions: Pricing Model
mentions: Deployment Options
mentions: LookML Modeling Language
mentions: Data Warehouse Integration
mentions: Setup Time (days)
mentions: Advanced Analytics & AI Features
mentions: User Scalability
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related link: https://www.aversusb.net/compare/looker-vs-domo
related link: https://www.aversusb.net/compare/metabase-vs-redash
citation: Looker — Wikipedia
citation: Metabase — Wikipedia
significant link: https://www.aversusb.net/entity/looker
significant link: https://www.aversusb.net/alternatives/looker
significant link: https://www.aversusb.net/entity/metabase
significant link: https://www.aversusb.net/alternatives/metabase
significant link: https://www.aversusb.net/api/answer/looker-vs-metabase)
significant link: https://www.aversusb.net/api/knowledge-graph/looker-vs-metabase)

A Versus B
type: Organization

Looker
type: Thing
description: Google-owned business intelligence platform built on a semantic data layer (LookML) for enterprise data governance.
language: en-US
image: ImageObject
  caption: Looker
subject of: Looker vs Metabase

Metabase
type: Thing
description: Open-source BI tool with fast deployment, simple query builder, and flexible self-hosting options.
language: en-US
subject of: Looker vs Metabase

Looker vs Metabase — Comparison Data
type: Dataset
description: Structured comparison data for Looker vs Metabase with 178 attributes.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
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distribution: AI Answer API (citation-ready)
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Looker vs Metabase — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Looker vs Metabase.
has defined term: Pricing
has defined term: User Experience
has defined term: Integration
has defined term: Security
has defined term: Features
has defined term: Performance
has defined term: Scalability
has defined term: Market Position
has defined term: Deployment
has defined term: Usability
has defined term: Technology
has defined term: Flexibility
has defined term: Adoption
has defined term: Learning
has defined term: Data Modeling
has defined term: Governance
has defined term: Architecture
has defined term: Community
has defined term: Ease of Use
has defined term: Setup & Deployment
has defined term: Data Governance
has defined term: Mobile
has defined term: Platform
has defined term: AI Features
has defined term: Onboarding
has defined term: Analytics
has defined term: Licensing
has defined term: Implementation
has defined term: Connectivity
has defined term: Functionality
has defined term: Data Architecture
has defined term: Target Audience
has defined term: Infrastructure
has defined term: Market
has defined term: System Requirements
has defined term: Analytics Capability
has defined term: Deployment Flexibility
has defined term: Learning Curve
has defined term: Resource Efficiency
has defined term: Enterprise Security
has defined term: Security & Compliance
has defined term: Market Fit
has defined term: Query Management
has defined term: Real-time Capabilities
has defined term: Deployment & Setup
has defined term: Community Adoption
has defined term: Alerting
has defined term: Reliability
has defined term: Hardware

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Technology
type: DefinedTerm
term code: technology
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Learning
type: DefinedTerm
term code: learning
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Data Modeling
type: DefinedTerm
term code: data-modeling
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Governance
type: DefinedTerm
term code: governance
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Setup & Deployment
type: DefinedTerm
term code: setup-&-deployment
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Data Governance
type: DefinedTerm
term code: data-governance
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Mobile
type: DefinedTerm
term code: mobile
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Platform
type: DefinedTerm
term code: platform
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

AI Features
type: DefinedTerm
term code: ai-features
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Onboarding
type: DefinedTerm
term code: onboarding
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Analytics
type: DefinedTerm
term code: analytics
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Licensing
type: DefinedTerm
term code: licensing
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Connectivity
type: DefinedTerm
term code: connectivity
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Data Architecture
type: DefinedTerm
term code: data-architecture
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Target Audience
type: DefinedTerm
term code: target-audience
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Market
type: DefinedTerm
term code: market
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

System Requirements
type: DefinedTerm
term code: system-requirements
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Analytics Capability
type: DefinedTerm
term code: analytics-capability
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Deployment Flexibility
type: DefinedTerm
term code: deployment-flexibility
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Learning Curve
type: DefinedTerm
term code: learning-curve
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Resource Efficiency
type: DefinedTerm
term code: resource-efficiency
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Enterprise Security
type: DefinedTerm
term code: enterprise-security
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Security & Compliance
type: DefinedTerm
term code: security-&-compliance
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Market Fit
type: DefinedTerm
term code: market-fit
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Query Management
type: DefinedTerm
term code: query-management
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Real-time Capabilities
type: DefinedTerm
term code: real-time-capabilities
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Deployment & Setup
type: DefinedTerm
term code: deployment-&-setup
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Community Adoption
type: DefinedTerm
term code: community-adoption
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Alerting
type: DefinedTerm
term code: alerting
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

Hardware
type: DefinedTerm
term code: hardware
in defined term set: Looker vs Metabase — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T03:28:58.964Z
author: A Versus B
publisher: A Versus B
is part of: Looker vs Metabase
main entity: Which is better for startups?
  type: Question
  accepted answer: Answer
    text: Metabase is significantly better for startups. The open-source version is completely free, deployable in minutes, and requires no specialized data engineering. Looker's $2,000+ monthly starting price and complex setup make it impractical for early-stage companies. Metabase allows startups to get analytics running in 1-2 days vs. 7-14 days for Looker.
    language: en-US
main entity: Can I self-host both platforms?
  type: Question
  accepted answer: Answer
    text: Only Metabase supports self-hosting. You can deploy it on your own servers, Docker, AWS, or any cloud infrastructure. Looker is cloud-only and runs exclusively on Google Cloud, which limits flexibility for organizations with strict on-premise requirements or existing cloud providers.
    language: en-US
main entity: Which has better data modeling capabilities?
  type: Question
  accepted answer: Answer
    text: Looker's LookML language is far more powerful for complex data transformations and reusable business logic. It allows data engineers to build sophisticated semantic layers. Metabase's query builder is simpler and faster for basic queries but lacks the flexibility to handle complex modeling scenarios that large enterprises require.
    language: en-US
main entity: How do the two platforms handle scaling?
  type: Question
  accepted answer: Answer
    text: Looker is built for enterprise scale, supporting 100+ concurrent users with enterprise-grade performance and governance. Metabase self-hosted becomes challenging beyond 50 concurrent users; for larger teams, the paid SaaS version ($1,000+/month) is recommended, though it still lacks Looker's advanced features at scale.
    language: en-US
main entity: Does either platform include AI or predictive analytics?
  type: Question
  accepted answer: Answer
    text: Looker includes Einstein AI integration (Google's AI suite) for predictive analytics, anomaly detection, and automated insights. Metabase has no native ML or AI features. If predictive modeling or AI-driven insights are core requirements, Looker is the only viable choice, though it comes at significantly higher cost.
    language: en-US

Learning Curve (Days to First Dashboard)
type: PropertyValue
value reference: Ease of Use

Starting Price (Annual, 10 Users)
type: PropertyValue
value reference: Pricing

Visualization Types Available
type: PropertyValue
value reference: Features

Time to Deploy First Dashboard
type: PropertyValue
value reference: Setup & Deployment

Data Connectors Supported
type: PropertyValue
value reference: Integration

Semantic Layer Maturity
type: PropertyValue
value reference: Data Governance

Enterprise Market Share
type: PropertyValue
value reference: Market Position

Learning Curve for Non-Technical Users
type: PropertyValue
value reference: Usability

Cloud Architecture Model
type: PropertyValue
value reference: Deployment

Data Source Connectors
type: PropertyValue
value reference: Integration

Visualization Types
type: PropertyValue
value reference: Features

Base Starter Price (Annual)
type: PropertyValue
value reference: Pricing

Implementation Time (typical)
type: PropertyValue
value reference: Deployment

Learning Curve Complexity
type: PropertyValue
value reference: Ease of Use

Mobile App Completeness
type: PropertyValue
value reference: Mobile

Semantic Layer Strength
type: PropertyValue
value reference: Architecture

BigQuery Query Speed
type: PropertyValue
value reference: Performance

Base Annual Cost Per User
type: PropertyValue
value reference: Pricing

Enterprise BI Market Share
type: PropertyValue
value reference: Market Position

Data Sources Supported
type: PropertyValue
value reference: Features

Available Chart Types
type: PropertyValue
value reference: Features

Centralized Metric Management
type: PropertyValue
value reference: Architecture

Mobile App Support
type: PropertyValue
value reference: Platform

Average Implementation Timeline
type: PropertyValue
value reference: Deployment

Number of Native Data Connectors
type: PropertyValue
value reference: Integration

Starting Enterprise Contract Value
type: PropertyValue
value reference: Pricing

Maximum Recommended Dataset Size
type: PropertyValue
value reference: Performance

Mobile App Dashboard Interactivity
type: PropertyValue
value reference: Mobile

Percentage of Use Cases Needing Code
type: PropertyValue
value reference: Ease of Use

White-Label Embedding Capability
type: PropertyValue
value reference: Features

Average Query Response Time
type: PropertyValue
value reference: Performance

Starting Enterprise License
type: PropertyValue
value reference: Pricing

Supported Cloud Platforms
type: PropertyValue
value reference: Deployment

Typical User Training Required
type: PropertyValue
value reference: Adoption

Natural Language Query Capability
type: PropertyValue
value reference: AI Features

Typical Implementation Time
type: PropertyValue
value reference: Onboarding

Starting Monthly Cost (SaaS)
type: PropertyValue
value reference: Pricing

Self-Hosting Cost
type: PropertyValue
value reference: Pricing

Number of Native Connectors
type: PropertyValue
value reference: Integration

Max Concurrent Users (Recommended)
type: PropertyValue
value reference: Scalability

Machine Learning / AI Features
type: PropertyValue
value reference: Analytics

Custom Modeling Language
type: PropertyValue
value reference: Features

Open Source Availability
type: PropertyValue
value reference: Licensing

Time to First Dashboard
type: PropertyValue
value reference: Implementation

Available Data Connectors
type: PropertyValue
value reference: Connectivity

Starting User Cost (Annual)
type: PropertyValue
value reference: Pricing

Mobile App Native Support
type: PropertyValue
value reference: User Experience

Row-Level Security (RLS) Complexity
type: PropertyValue
value reference: Security

Embedded Analytics Suitability
type: PropertyValue
value reference: Functionality

SQL Modeling Flexibility
type: PropertyValue
value reference: Data Architecture

Typical Mid-Market Annual Contract Value
type: PropertyValue
value reference: Pricing

Starting Annual Cost Per User
type: PropertyValue
value reference: Pricing

Data Connectors Available
type: PropertyValue
value reference: Integration

Semantic Layer
type: PropertyValue
value reference: Data Modeling

Mobile App Maturity
type: PropertyValue
value reference: Features

Primary Use Case Alignment
type: PropertyValue
value reference: Target Audience

Technical Skill Required (1-10)
type: PropertyValue
value reference: Ease of Use

Concurrent Users Supported
type: PropertyValue
value reference: Scalability

SQL Query Support Level
type: PropertyValue
value reference: Features

Open Source License Type
type: PropertyValue
value reference: Licensing

Database Connectors
type: PropertyValue
value reference: Integration

Professional Setup Required
type: PropertyValue
value reference: Implementation

Total Cost of Ownership (Year 1, 10 users)
type: PropertyValue
value reference: Pricing

Average Setup Time (no-code path)
type: PropertyValue
value reference: Usability

Dashboard Auto-Refresh Speed (Premium tier)
type: PropertyValue
value reference: Performance

Deployment Options Available
type: PropertyValue
value reference: Infrastructure

Enterprise Deployments (market share)
type: PropertyValue
value reference: Market

Minimum RAM Required
type: PropertyValue
value reference: System Requirements

Advanced Formula Capabilities
type: PropertyValue
value reference: Analytics

Base Subscription Cost (Annual, 10 Users)
type: PropertyValue
value reference: Pricing

Advanced Formula Language Functions
type: PropertyValue
value reference: Analytics Capability

Row-Level Security (RLS) Capability
type: PropertyValue
value reference: Security

Self-Hosting / On-Premises Deployment
type: PropertyValue
value reference: Deployment Flexibility

Learning Hours to Intermediate Proficiency
type: PropertyValue
value reference: Learning Curve

Docker Container Size
type: PropertyValue
value reference: Resource Efficiency

Starting Price (Cloud/Monthly)
type: PropertyValue
value reference: Pricing

Free Tier Availability
type: PropertyValue
value reference: Pricing

Data Connectors
type: PropertyValue
value reference: Integration

Setup Time (First Dashboard)
type: PropertyValue
value reference: Usability

Typical Enterprise Implementation Cost
type: PropertyValue
value reference: Pricing

SAML/SSO Support
type: PropertyValue
value reference: Security

GitHub Community Stars
type: PropertyValue
value reference: Community

Row-Level Security (RLS)
type: PropertyValue
value reference: Security

Enterprise SSO Support
type: PropertyValue
value reference: Enterprise Security

Learning Curve (Hours to Proficiency)
type: PropertyValue
value reference: Ease of Use

Base Monthly Cost (Small Team)
type: PropertyValue
value reference: Pricing

Supported Data Sources
type: PropertyValue
value reference: Features

AI/Predictive Analytics
type: PropertyValue
value reference: Features

Enterprise Security Certifications
type: PropertyValue
value reference: Security & Compliance

Monthly Subscription Cost (Enterprise)
type: PropertyValue
value reference: Pricing

Deployment Flexibility
type: PropertyValue
value reference: Infrastructure

Typical Org Size (Target)
type: PropertyValue
value reference: Market Fit

Initial Setup Time
type: PropertyValue
value reference: Ease of Use

Community Edition License
type: PropertyValue
value reference: Licensing

SQL Editor Capabilities
type: PropertyValue
value reference: Query Management

Dashboard Minimum Refresh Interval
type: PropertyValue
value reference: Real-time Capabilities

User Interface Complexity (Learning Curve)
type: PropertyValue
value reference: Usability

Docker Deployment Complexity
type: PropertyValue
value reference: Deployment & Setup

Query Result Caching
type: PropertyValue
value reference: Performance

GitHub Stars
type: PropertyValue
value reference: Community Adoption

Data Source Integrations
type: PropertyValue
value reference: Integration

Notification Channels
type: PropertyValue
value reference: Alerting

Enterprise License Cost (Annual)
type: PropertyValue
value reference: Pricing

SQL Query Support
type: PropertyValue
value reference: Features

Real-Time Dashboard Latency
type: PropertyValue
value reference: Performance

Docker Deployment
type: PropertyValue
value reference: Deployment

Supported Database Connectors
type: PropertyValue
value reference: Features

Query Caching Capability
type: PropertyValue
value reference: Performance

Minimum Infrastructure Requirements (RAM)
type: PropertyValue
value reference: Performance

SQL Query Templating Support
type: PropertyValue
value reference: Features

Visual Query Builder Capability
type: PropertyValue
value reference: Usability

Alert Notification Channels
type: PropertyValue
value reference: Features

Community-Reported Setup Success Rate
type: PropertyValue
value reference: Reliability

Setup Time
type: PropertyValue
value reference: User Experience

Built-in Visualization Types
type: PropertyValue
value reference: Features

Supported Databases
type: PropertyValue
value reference: Connectivity

Minimum RAM Requirement
type: PropertyValue
value reference: Hardware

Row-Level Security in Open-Source
type: PropertyValue
value reference: Security

Time to Build First Dashboard
type: PropertyValue
value reference: Usability