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Looker

Google Cloud's enterprise business intelligence platform for data exploration and visualization. Looker provides a semantic modeling layer, embedded analytics, and native BigQuery integration for self-service analytics.

Founded 2012 Santa Cruz, CA 1001-5000 employees Acquired (Google)

Looker Pros & Cons

Key strengths and limitations to consider

Strengths

  • Best-in-class data visualization and exploration
  • Embedded analytics capabilities
  • Native BigQuery integration with LookML
  • Strong governance and data modeling

Limitations

  • Steep learning curve for LookML
  • Google Cloud ecosystem dependency
  • Higher cost for smaller deployments

Ideal For

Who benefits most from Looker

Quick Analysis

Enterprise BI platform with semantic modeling layer, now part of Google Cloud. Ideal for organizations with complex data governance needs.

1

Data teams building self-service analytics

2

Product teams embedding analytics in apps

3

Enterprises standardizing on Google Cloud

4

Organizations needing governed data exploration

Per-Seat

Key Features

  • Product and behavioral analytics dashboards
  • Funnel analysis and retention tracking
  • Self-serve exploration for all teams

Popular Integrations

Looker works seamlessly with these tools:

BigQuery as primary data source
Snowflake for multi-cloud
dbt for transformations
Fivetran for data ingestion

Add Looker to Your Stack

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