Looker
Enterprise BI platform with LookML semantic modeling layer, part of Google Cloud
Overview
Enterprise BI and analytics platform now part of Google Cloud. Uses a unique modeling layer (LookML) to define metrics once and reuse them across dashboards, reports, and embedded analytics — ensuring everyone works from the same definitions.
Ehsan's Growth Verdict
The BI tool data engineers love and analysts tolerate — LookML is a blessing and a curse
Best for: Data teams on Google Cloud that need governed, version-controlled BI with strong embedded analytics capabilities
Key Features
- ✓LookML modeling language
- ✓Self-service exploration
- ✓Embedded analytics
- ✓Git-integrated model version control
- ✓Gemini AI-powered analytics
Pros
- + LookML ensures a single source of truth for metrics
- + Git integration makes analytics code-reviewable
- + Best embedded analytics offering in the BI space
Cons
- − LookML has a real learning curve — plan 2-4 weeks for your team
- − Google Cloud acquisition has stalled product innovation
- − Expensive for small teams — $5K/mo minimum
Pricing
| Plan | Details |
|---|---|
| Embedded | Custom per-use pricing |
| Standard | $5,000/mo — 10 users |
| Enterprise | Custom — typically $50K-150K/yr |
Best Use Cases
Ehsan's Growth Take
LookML solved the biggest BI problem: 5 dashboards showing 5 different revenue numbers. By defining metrics in code, Looker eliminated metric drift. But Google's stewardship has been mediocre — Looker's roadmap has slowed while competitors like Preset (Superset) and Metabase move fast. If you're already on GCP, Looker makes sense. If you're choosing fresh, consider Metabase for 80% of the value at 20% of the cost.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council