Looker excels as a developer-friendly, enterprise-scale BI platform with deep customization capabilities, while Domo prioritizes ease-of-use and self-service analytics for business users with faster time-to-value. Looker generates 45% more revenue per user in enterprise deployments, but Domo achieves implementation in 30% less time.
Looker vs Domo — Side-by-side comparison on A Versus B
Google-owned enterprise BI platform using LookML for code-first analytics and data governance.
Cloud-native BI platform built for real-time dashboards, business processes, and rapid implementation.
Implementation Timeline. Learning Curve for Business Users. Enterprise Revenue per Named User/Year. Data Connectors Available. Custom Code Development Required. Mobile App Functionality. Ideal Enterprise Size
Choose Looker if your organization has dedicated data engineers, requires deep embedding capabilities, and prioritizes long-term customization ROI over quick implementation. Choose Domo if you need democratized analytics, faster deployment, broader data source integration, and want business users creating dashboards without technical dependencies.
Looker: Unlimited custom RBAC | Domo: N/A
Looker: Native iOS/Android + responsive web | Domo: N/A
Looker: Advanced GraphQL and REST APIs | Domo: N/A
Looker: Unlimited (enterprise) | Domo: N/A
Looker: Excellent - Native support | Domo: N/A
Looker: Enterprise-grade with LookML controls | Domo: N/A
Looker: 10,000+ | Domo: Unlimited (cloud-native)
Looker: Advanced (custom dimensions, measures, derived tables) | Domo: N/A
Looker: Field, row, and dashboard-level | Domo: Static (role-based)
Looker: 800+ (via Fivetran) | Domo: 700+
Looker: 5/10 (requires LookML expertise) | Domo: N/A
Looker: SOC 2 Type II, ISO 27001, HIPAA, FedRAMP (GCP) | Domo: N/A
Average Training Hours Required (Per Analyst)
Looker: Web-responsive, limited interactivity | Domo: Native iOS/Android with full features
Looker: 9/10 (LookML code control) | Domo: 6/10 (Visual builders)
Looker: Limited predictive models | Domo: Domo AI with natural language queries
Looker: Native SQL, complex joins, window functions | Domo: SQL via connectors, limited direct database access
Non-Technical User Friendliness (1-10 scale)
Looker: 5/10 (requires technical knowledge) | Domo: 8.5/10 (drag-and-drop design)
Total Cost of Ownership (First Year, 10 Users)
Looker: $6,000-$12,000 (minimum enterprise license) | Domo: N/A
Looker: Advanced (LookML semantic layer) | Domo: N/A
Looker: Native RLS with attribute-based access | Domo: N/A
Typical Enterprise Implementation Timeline
Looker: Full automatic caching and pushdown | Domo: N/A
Learning Curve (Hours to First Dashboard)
Looker: 40-60 hours (with developer background) | Domo: N/A
Looker: Purpose-built, highly white-labelable | Domo: Basic (limited white-label)
Looker: Native LookML ensures single source of truth | Domo: N/A
Learning Curve (Days to First Dashboard)
Looker: 9/10 (centralized LookML) | Domo: N/A
Looker: Cloud-native SaaS (single-tenant) | Domo: N/A
Looker: $3,000 per core minimum | Domo: N/A
Looker: 8-12 weeks (requires modeling) | Domo: N/A
Looker: Advanced (requires SQL/LookML) | Domo: N/A
Looker: 60% of desktop features | Domo: N/A
Looker: Built-in (LookML) - single source of truth | Domo: N/A
Looker: Average 800ms for 100M rows | Domo: N/A
Looker: 60+ visualization types | Domo: N/A
Looker: LookML semantic layer with version control | Domo: N/A
Looker: Limited; primarily desktop-focused | Domo: N/A
Looker: Read-only | Domo: Full interactivity + alerts
Looker: Enterprise SDK included | Domo: Limited / add-on cost
Looker: 1 (Google Cloud native) | Domo: N/A
Looker: Basic Explore interface (code-based) | Domo: N/A
Looker: N/A | Domo: SOC 2 Type II, HIPAA, FedRAMP
Looker: N/A | Domo: Built-in with automated insight discovery
Maximum Concurrent Users (Standard Plan)
Looker: N/A | Domo: Unlimited (license-based)
Looker: N/A | Domo: Advanced (alerts, scheduling, actions)
Looker: N/A | Domo: Good (operational focus)
Looker: N/A | Domo: Full feature parity with desktop
Looker: N/A | Domo: Yes - alerts, routing, task execution
Looker: N/A | Domo: Partial - via connectors
Looker: N/A | Domo: $500+ (org-wide minimum)
Looker: N/A | Domo: Real-time (unlimited)
Looker: N/A | Domo: Limited, requires API
Looker: N/A | Domo: Full editing capabilities
Looker: N/A | Domo: Native data certification & lineage
Looker: N/A | Domo: 4.3/5 (2,400 reviews)
Looker: N/A | Domo: 500 GB (with optimization)
Looker: N/A | Domo: Yes (Domo Connector Framework)
Maximum Dataset Size (Optimal Performance)
Looker: N/A | Domo: Yes (with offline mode)
Looker: N/A | Domo: Basic (predictive only)
Looker: N/A | Domo: 500GB+ (with optimization)
Looker: N/A | Domo: Complex (steep curve)
Looker: N/A | Domo: 95% (with offline mode)
Looker vs Domo — Structured Comparison Data
Machine-readable comparison dataset for Looker vs Domo. Contains 153 attribute comparisons, 5 FAQ pairs.
Looker vs Domo — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for Looker vs Domo.
Which platform is better for non-technical business users?
Domo is significantly better for business users. It features a drag-and-drop interface, 600+ pre-built connectors, and AI-powered Copilot that auto-generates insights. Looker requires SQL knowledge and LookML coding for advanced features, making it less accessible to non-technical teams. Domo users can build 80% of dashboards without developer help, versus 30% for Looker.
How do costs compare between Looker and Domo?
Looker has higher per-user costs ($2,400-$3,600/year) but lower per-deployment costs due to centralized governance. Domo's per-user costs are $1,200-$2,000/year, making it cheaper for small teams but potentially more expensive at scale (100+ users). Looker typically requires $180K-$500K annually for enterprises, while Domo starts at $50K-$150K. Total cost depends on team size and implementation scope.
Which platform integrates with more data sources?
Domo offers 600+ native connectors including e-commerce (Shopify), IoT platforms, social media, and communication tools (Slack, Microsoft Teams). Looker provides 250+ connectors focused on enterprise systems (Salesforce, Marketo, data warehouses). For organizations needing quick integration with SaaS tools, Domo wins. For data warehouse-centric enterprises, both are equivalent after adding custom connectors.
Can I embed Looker/Domo analytics into my product?
Looker has superior embedding capabilities with a dedicated Enterprise SDK, white-label support, and subsecond query performance for customer-facing dashboards. Domo's embedding is more limited and typically requires add-on licensing. If embedding analytics is core to your product strategy, Looker is the stronger choice. Both support iFrame embedding, but Looker's SDK provides deeper customization and security controls.
What's the typical implementation timeline for each?
Domo implements 30-50% faster than Looker. Domo typically takes 4-6 weeks for standard deployments, while Looker averages 8-12 weeks due to LookML modeling, custom metrics, and governance setup. For companies prioritizing quick time-to-value, Domo's rapid deployment is a significant advantage. Complex enterprise implementations may take longer for both platforms.
Implementation Timeline: Looker has 8-12 weeks average, while Domo has 4-6 weeks average.
Consider: Learning Curve for Business Users
Learning Curve for Business Users: Looker has Moderate to Steep (LookML required for advanced features), while Domo has Shallow (Drag-and-drop interface).
Consider: Enterprise Revenue per Named User/Year
Enterprise Revenue per Named User/Year: Looker has $2,400-$3,600 (typical), while Domo has $1,200-$2,000 (typical).
Data Connectors Available: Looker has 250+ (including Salesforce, Marketo, Hadoop), while Domo has 600+ (including IoT platforms, Shopify, Slack).
Consider: Custom Code Development Required
Custom Code Development Required: Looker has High (LookML mandatory for custom logic), while Domo has Low (Visual builder for 85% of use cases).
Mobile App Functionality: Looker has Read-only dashboards, limited interactivity, while Domo has Full dashboard interactivity + alerts + actions.
Ideal Enterprise Size: Looker has 500+ employees with BI teams, while Domo has 50-5,000 employees across departments.