Updated: Jan 25, 2026
Comparison: Head-to-head analysis
5 min read
Comparison

Domo vs Looker

Complete comparison guide to help you choose the right analytics tool for your needs.

4.3
2,273 reviews
From $?/mo
VS
4.4
3,278 reviews
From $?/mo
01

The Winner

Slight Edge

Looker

Has a slight advantage based on user ratings and overall value. Both tools are excellent - Domo may still be better for specific use cases.

4.4 Rating
No Free Tier
$? Starting Price
1.7K+ Users
02

Quick Comparison

Criteria Domo Looker
Starting Price Custom pricing Custom pricing
User Rating 4.3 4.4 Best
Review Count 2,273 3,278
Free Trial 30 days Best No
Annual Discount N/A N/A
Best For Teams needing 1,000+ data connectors Google Cloud-native enterprises
03

Feature Breakdown

Feature Comparison

Capability Domo Looker
AI Scheduling Automated calendar and task scheduling
Calendar Integration Syncs with major calendars
Team Collaboration Multi-user and team features
AI Assistant/Chat AI-powered conversational features
Analytics & Insights Data and productivity insights

Domo

Strengths
  • 1,000+ Pre-Built Connectors
  • Agent Catalyst for Agentic AI
  • Proven 536% ROI
  • Eliminates Multiple Tool Licenses
Limitations
  • Expensive vs. Competitors
  • Credit-Based Pricing Complexity
  • Real-Time Updates Don't Always Deliver
Full Domo Review →

Looker

Strengths
  • LookML Semantic Layer
  • Native Gemini AI Integration
  • Enterprise Embedded Analytics
  • Real-Time Cloud Warehouse Queries
Limitations
  • Steep Learning Curve
  • Weaker Visualizations Than Tableau
  • Expensive Enterprise Pricing
Full Looker Review →
04

Domo Overview

If you're tired of juggling multiple BI tools and need enterprise-grade analytics with AI capabilities, Domo delivers. The custom pricing ($20K-$100K+ annually) is steep, but the 536% average ROI and elimination of multiple tool licenses justifies the investment for mid-to-large organizations. SMBs should look at Power BI or Zoho Analytics instead.

Best For:

  • Teams needing 1,000+ data connectors
  • Teams prioritizing self-service analytics with drag-and-drop tools
  • Businesses requiring cloud-native platform with real-time insights
  • Companies seeking comprehensive BI platform instead of licensing multiple tools
  • Organizations with budget for premium features (advanced AI/ML, white-label embedding)
Read Full Domo Review
05

Looker Overview

Enterprise BI platform with AI-powered conversational analytics, LookML semantic layer, and embedded analytics capabilities. Best for Google Cloud organizations needing governed, real-time data insights. Expensive ($36K-$360K+/year) but delivers genuine governance value.

Best For:

  • Google Cloud-native enterprises
  • Technical teams with SQL and LookML
  • Enterprises needing centralized governance
  • Companies needing embedded analytics
  • Organizations prioritizing real-time queries
Read Full Looker Review
06

Our Verdict

Slight Edge
4.4/5
Winner Rating

Looker has a slight edge based on user ratings and overall value. Both tools are excellent - Domo may still be better for Teams needing 1,000+ data connectors.

Try Looker Free
07

Domo vs Looker FAQ

Both Domo and Looker are excellent tools. Domo is better for Teams needing 1,000+ data connectors, while Looker excels at Google Cloud-native enterprises. Your choice depends on your specific needs and budget.
Domo pricing: Contact for pricing. Looker pricing: Contact for pricing. Pricing varies, but compare features at each tier to find the best value for your needs.
Yes, many teams use multiple tools for different purposes. Domo might handle Teams needing 1,000+ data connectors, while Looker covers Google Cloud-native enterprises. Check integration options for both tools.
Both offer robust support. Domo provides standard support, while Looker offers comprehensive support. Enterprise plans typically include dedicated support for both.
Consider switching if Looker better fits your current needs. Key factors: Google Cloud-native enterprises, pricing alignment, and team workflow compatibility. We recommend trialing Looker before making a full switch.