Looker
Governed cloud BI and semantic modeling platform from Google Cloud for trusted metrics, self-service analytics, embedded apps and Gemini-powered conversational insights.
Looker combines governed semantic modeling through LookML, reusable metrics, dashboards, embedded analytics, APIs and increasingly conversational analytics powered by Gemini. It is particularly strong for centrally governed metrics and analytics applications.
G2 currently rates Looker 4.4/5 from 1,655 reviews and Capterra 4.5/5 from 286, with Capterra ease of use at 4.3 and customer service at 4.5. Users value trustworthy metrics and Google ecosystem integration, while LookML learning curve and large-query performance are recurring concerns.
Google publishes Looker's pricing structure but not a numeric platform or user price. Standard, Enterprise and Embed all require sales quotes. Starting October 1, 2026, Conversational Analytics overage pricing is explicit at $3 per 1M input data tokens and $20 per 1M output data tokens after included allocation.
Looker integrates tightly with BigQuery, Spanner, Cloud SQL, Google Drive, Google authentication and other Google services while also supporting 50+ database sources across clouds. Google Cloud provides mature encryption, VPC Service Controls, IAM/SSO, SOC 2 and ISO 27001-related compliance coverage.
Scored by Shikha Goyal
Quick facts
- Vendor
- Google LLC
- Pricing model
- custom
- Plan pricing
- Pricing not available
- Free plan
- Not confirmed
- Free trial
- Yes — check eligibility
- Last verified
- Not yet verified
About Looker
Looker is Google Cloud's business-intelligence platform centered on governed semantic modeling through LookML. It lets organizations define reusable metrics, build dashboards and self-service experiences, embed analytics in applications and integrate analytics with workflows. Looker is tightly integrated with Google Cloud and increasingly uses Gemini-powered Conversational Analytics for natural-language analysis.
Best for
Data-mature organizations that need centrally governed metrics, reusable semantic models and embedded/self-service analytics, especially those standardized on BigQuery or Google Cloud.
Looker pros and cons
Pros
- Strong governed semantic layer through LookML.
- Deep Google Cloud/BigQuery integration.
- Powerful embedded analytics and API capabilities.
- Gemini-powered conversational analytics expands self-service access.
- 90-day Looker Google Cloud core trial instances are available in current documentation.
- Enterprise security capabilities including IAM, VPC-SC and customer-managed encryption options.
Cons
- −No public numeric platform or user pricing.
- −LookML requires specialized skills and governance discipline.
- −Large or inefficient queries can feel slow.
- −Standard edition is aimed at teams under 50 users but still requires sales pricing.
- −Conversational Analytics token overage billing began October 1, 2026.
- −Migration between trial and paid instances requires creating/importing into a new instance.
Features
Platforms
Integrations
Pricing
Custom annual pricing. Intended for small organizations/teams with fewer than 50 users.
Custom annual pricing with enhanced enterprise security and API scale.
Custom annual pricing for embedded analytics and analytics applications.
Official pricing / availability source · Checked 6 October 2026. Confirm current taxes, regional terms and allowances. A listed plan is not necessarily the cheapest option.
Editorial verification: Not yet verified. Check the vendor's site for current pricing.