Domo vs Looker
type: WebPage
description: Domo is a cloud-native BI platform optimized for business users with drag-and-drop simplicity and strong mobile capabilities, while Looker is a developer-centric embedded analytics tool owned by Google with superior SQL-based modeling and enterprise scalability. Domo excels at self-service analytics; Looker dominates in complex data infrastructure and white-label deployment.
language: en-US
is accessible for free: true
conditions of access: Free
is part of: website
date published: 2026-07-09T04:11:14.751Z
date created: 2026-07-09T04:11:14.751Z
date modified: 2026-07-09T04:11:14.857Z
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caption: Domo vs Looker — Side-by-side comparison on A Versus B

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Domo vs Looker
type: Article
type: TechArticle
abstract: Domo is a cloud-native BI platform optimized for business users with drag-and-drop simplicity and strong mobile capabilities, while Looker is a developer-centric embedded analytics tool owned by Google with superior SQL-based modeling and enterprise scalability. Domo excels at self-service analytics; Looker dominates in complex data infrastructure and white-label deployment.
description: Domo is a cloud-native BI platform optimized for business users with drag-and-drop simplicity and strong mobile capabilities, while Looker is a developer-centric embedded analytics tool owned by Google with superior SQL-based modeling and enterprise scalability. Domo excels at self-service analytics; Looker dominates in complex data infrastructure and white-label deployment.
language: en-US
main entity of page: Domo vs Looker
content reference time: 2026-07-09T04:11:14.857Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-09T04:11:14.751Z
date created: 2026-07-09T04:11:14.751Z
date modified: 2026-07-09T04:11:14.857Z
text: Choose Domo if your organization prioritizes ease-of-use, rapid time-to-value, and empowering non-technical business users with self-service analytics capabilities. Choose Looker if you need robust data governance, embedded analytics for customer-facing applications, complex multi-source data modeling, or are already invested in the Google Cloud ecosystem and can allocate technical resources for implementation.
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  object: Looker
about: Domo
about: Looker
mentions: Primary Use Case
mentions: Data Modeling Approach
mentions: Implementation Complexity
mentions: Mobile Experience
mentions: Typical Annual Cost (Mid-Market)
mentions: White-Label/Embedded Capability
mentions: Enterprise Client Base
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related link: https://www.aversusb.net/compare/domo-vs-sisense
related link: https://www.aversusb.net/compare/domo-vs-tableau
citation: Domo — Wikipedia
citation: Looker — Wikipedia
significant link: https://www.aversusb.net/entity/domo
significant link: https://www.aversusb.net/alternatives/domo
significant link: https://www.aversusb.net/entity/looker
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A Versus B
type: Organization

Domo
type: SoftwareApplication
description: Cloud-native BI platform focused on self-service analytics and business user empowerment.
language: en-US
subject of: Domo vs Looker

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: Domo vs Looker

Domo vs Looker — Comparison Data
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description: Structured comparison data for Domo vs Looker with 172 attributes.
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license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
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Domo vs Looker — Attribute Category Vocabulary
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language: en-US
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has defined term: Security & Compliance
has defined term: Community
has defined term: Pricing
has defined term: Features
has defined term: Infrastructure
has defined term: Market Fit
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has defined term: Analytics
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has defined term: Training
has defined term: Mobility
has defined term: Governance
has defined term: Implementation
has defined term: Customer Satisfaction
has defined term: Sharing & Collaboration
has defined term: Data Pipeline
has defined term: User Base
has defined term: Mobile
has defined term: Security
has defined term: Technology
has defined term: Technical
has defined term: Adoption
has defined term: Learning
has defined term: Data Modeling
has defined term: Architecture
has defined term: Setup & Deployment
has defined term: Data Governance
has defined term: Functionality
has defined term: Platform
has defined term: AI Features
has defined term: Licensing
has defined term: Connectivity
has defined term: Data Architecture
has defined term: Target Audience

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

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

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

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

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

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

Cost
type: DefinedTerm
term code: cost
in defined term set: Domo vs Looker — Attribute Category Vocabulary

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

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

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

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

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

Support
type: DefinedTerm
term code: support
in defined term set: Domo vs Looker — Attribute Category Vocabulary

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

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

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

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

Data Management
type: DefinedTerm
term code: data-management
in defined term set: Domo vs Looker — Attribute Category Vocabulary

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

Accessibility
type: DefinedTerm
term code: accessibility
in defined term set: Domo vs Looker — Attribute Category Vocabulary

Training
type: DefinedTerm
term code: training
in defined term set: Domo vs Looker — Attribute Category Vocabulary

Mobility
type: DefinedTerm
term code: mobility
in defined term set: Domo vs Looker — Attribute Category Vocabulary

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

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

Customer Satisfaction
type: DefinedTerm
term code: customer-satisfaction
in defined term set: Domo vs Looker — Attribute Category Vocabulary

Sharing & Collaboration
type: DefinedTerm
term code: sharing-&-collaboration
in defined term set: Domo vs Looker — Attribute Category Vocabulary

Data Pipeline
type: DefinedTerm
term code: data-pipeline
in defined term set: Domo vs Looker — Attribute Category Vocabulary

User Base
type: DefinedTerm
term code: user-base
in defined term set: Domo vs Looker — Attribute Category Vocabulary

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

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

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

Technical
type: DefinedTerm
term code: technical
in defined term set: Domo vs Looker — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T04:11:14.857Z
author: A Versus B
publisher: A Versus B
is part of: Domo vs Looker
main entity: Which platform is better for embedded analytics in a SaaS product?
  type: Question
  accepted answer: Answer
    text: Looker is significantly better for embedded analytics. It was designed specifically for white-label, customer-facing analytics with superior security, branding customization, and programmatic control. Domo's strengths are internal self-service analytics rather than customer-facing embedded use cases. Looker's row-level security and fine-grained permissions make it ideal for multi-tenant SaaS deployments.
    language: en-US
main entity: Can non-technical business users work independently with both platforms?
  type: Question
  accepted answer: Answer
    text: Yes, but Domo is far more business-user friendly. Domo's drag-and-drop interface allows marketing managers, analysts, and executives to create dashboards without SQL knowledge in 2-4 weeks. Looker requires either analytics engineers or lengthy training for non-technical users due to LookML, making it less suitable for self-service scenarios. If democratizing analytics to business users is priority, Domo wins decisively.
    language: en-US
main entity: How does pricing scale for enterprise deployments with 500+ users?
  type: Question
  accepted answer: Answer
    text: Both platforms offer volume discounts at scale, but pricing models differ. Domo typically charges $800-$2,500 per user annually; Looker charges $600-$3,200. For 500 users, Domo averages $225k-$300k/year; Looker $300k-$500k/year, but Looker's per-user cost may decrease more aggressively at 1,000+ users. Looker often requires dedicated technical staff (adding $200k+ salary), making total cost of ownership significantly higher.
    language: en-US
main entity: Which integrates better with cloud data warehouses like BigQuery, Snowflake, or Redshift?
  type: Question
  accepted answer: Answer
    text: Both support all major cloud warehouses. However, Looker has a native integration advantage with Google BigQuery (owned by same parent company) with direct SQL push-down and optimized query performance. Domo integrates equally well with Snowflake and Redshift but doesn't have the same optimization advantage with BigQuery. For Snowflake/Redshift-heavy organizations, both are equally strong; for BigQuery-first, Looker has a slight edge.
    language: en-US
main entity: What's the learning curve difference for analytics teams?
  type: Question
  accepted answer: Answer
    text: Domo: 2-4 weeks for business users to create simple dashboards; SQL knowledge optional. Looker: 6-12 weeks for SQL-fluent developers to master LookML; requires strong data engineering background. If you need rapid adoption across non-technical teams, Domo wins. If you want a centralized metrics layer maintained by a dedicated analytics engineering team, Looker's LookML approach provides better long-term governance at the cost of steeper initial learning.
    language: en-US

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value reference: User Experience

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Global Active Users
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value reference: Performance

Native Mobile App Support
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value reference: Features

Analyst Proficiency Learning Period
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value reference: Usability

Number of Native Data Connectors
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value reference: Integration

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value reference: Pricing

Maximum Recommended Dataset Size
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value reference: Performance

Mobile App Dashboard Interactivity
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value reference: Mobile

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

White-Label Embedding Capability
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value reference: Features

Row-Level Security Granularity
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Average Monthly Cost Per User
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value reference: Pricing

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AI/ML Automation Capabilities
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Data Connectors
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Mobile App
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BigQuery Native Optimization
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GitHub Stars (Community Adoption)
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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

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