Looker
Sales analytics software
Digital analytics software
Marketing analytics software
Analytics platforms
Data visualization tools
Embedded business intelligence software
Business intelligence software
Dashboard software
Healthcare BI software
KPI software
Report writing software
Security analytics software
Security dashboard software
Web analytics software
Website traffic software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Looker
Looker is a business intelligence and analytics platform used to model data, explore it through interactive reports and dashboards, and embed analytics into applications. It is commonly used by data teams and business users to standardize metrics and enable self-service analysis across departments such as sales, marketing, and operations. A key characteristic is its semantic modeling layer (LookML), which defines governed metrics and reusable data definitions on top of SQL-based data sources. Looker is part of Google Cloud and is typically deployed to support centralized, governed analytics at scale.
Governed semantic modeling layer
LookML provides a centralized way to define metrics, dimensions, and business logic so teams can reuse consistent definitions across reports and dashboards. This helps reduce metric drift when multiple teams analyze the same sales or marketing KPIs. The model-driven approach also supports version control workflows and review processes that are harder to enforce in purely ad hoc reporting tools.
Strong embedded analytics options
Looker supports embedding dashboards and data experiences into external applications via APIs and embedding capabilities. This is useful for SaaS products and internal portals that need analytics without sending users to a separate BI tool. The platform also supports row-level access patterns that are commonly required when embedding analytics for different user groups.
Broad data warehouse connectivity
Looker is designed to query data where it lives and commonly connects to cloud data warehouses and SQL databases. This fits organizations that centralize data in a warehouse and want a single analytics layer for multiple business functions. It can support multiple subject areas (e.g., sales performance, web traffic, security events) when the underlying data is modeled and accessible.
Requires LookML expertise
Many organizations need specialized skills to build and maintain LookML models, especially for complex metric definitions and performance tuning. Business users can explore data, but the quality and breadth of self-service depends on the underlying model. Teams without dedicated analytics engineering resources may find initial setup and ongoing governance challenging.
Not a CRM analytics suite
Looker is a general BI platform rather than a purpose-built sales CRM analytics product. It typically requires data integration from CRM, marketing, and web analytics sources before it can deliver sales pipeline or campaign reporting. Organizations expecting out-of-the-box sales workflows and prebuilt CRM dashboards may need additional implementation work.
Cost and administration overhead
Enterprise BI deployments can involve licensing costs, infrastructure planning, and ongoing administration for permissions, content governance, and model lifecycle management. Embedded use cases can add complexity around authentication, authorization, and API usage. These factors can make total cost of ownership higher than lighter-weight dashboard tools for small teams.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Standard | Contact sales (annual commitment) | For small organizations/teams (<50 users). Includes 1 production instance; 10 Standard Users and 2 Developer Users included; upgrades; up to 1,000 query-based API calls/month and up to 1,000 administrative API calls/month. |
| Enterprise | Contact sales (annual commitment) | Enhanced security features for broader internal BI use cases. Includes 1 production instance; 10 Standard Users and 2 Developer Users included; upgrades; up to 100,000 query-based API calls/month and up to 10,000 administrative API calls/month. |
| Embed | Contact sales (annual commitment) | For deploying external analytics and data applications at scale. Includes 1 production instance; 10 Standard Users and 2 Developer Users included; upgrades; up to 500,000 query-based API calls/month and up to 100,000 administrative API calls/month. |
| Conversational Analytics (usage-based) | Input Data Tokens: $3.00 per 1M tokens; Output Data Tokens: $20.00 per 1M tokens | Each user license includes monthly data token allocations: Viewer — 1M input / 20K output; Standard — 2M input / 40K output; Developer — 4M input / 80K output. Unlimited access without quota limits through September 30, 2026; quota enforcement and overage billing begin October 1, 2026. |
Notes: Platform and user licensing costs (platform edition pricing and per-user licensing) are not published on the vendor site — customers must contact sales for quotes. All information sourced from the official Google Cloud Looker pricing page.
Seller details
Google LLC
Mountain View, CA, USA
1998
Subsidiary
https://cloud.google.com/deep-learning-vm
https://x.com/googlecloud
https://www.linkedin.com/company/google/
