Looker is a bI & dashboards tool for Enterprise and Developers, offered as paid. Founded in United States in 2012.
About Looker
Looker is Google Cloud's enterprise business intelligence and embedded analytics platform. It was founded in 2012 in Santa Cruz, California, by Lloyd Tabb and Ben Porterfield, and Google completed its $2.6 billion acquisition in February 2020. Its core job: give a company one governed definition of every metric through the LookML semantic layer, then let people explore, dashboard and embed that data without writing SQL.
Looker queries your warehouse directly (BigQuery, Snowflake, Redshift, Databricks and many SQL databases) instead of copying data into its own store. Developers model joins, dimensions and measures in LookML with Git version control; business users work in Explores, dashboards, scheduled deliveries and alerts. Gemini adds conversational analytics (GA in November 2025). It is sold as Standard (under 50 users), Enterprise and Embed editions on annual commitments, each including 10 standard and 2 developer users.
Looker fits data teams that want strict metric governance or need to embed analytics in a product. It is costly, needs LookML skills and is overkill for a few dashboards. Power BI is cheaper for Microsoft shops, Tableau is stronger for visual exploration, and Metabase is far simpler and open source. Google's free Data Studio covers basic reporting.
In April 2026 Google renamed Looker Studio back to Data Studio, leaving Looker as the enterprise brand. Before buying, run the 30-day trial instance, which has Standard edition features but caps users at 5 Viewer, 1 Standard and 1 Developer; it converts to a paid Standard instance unless you delete it.
Key features of Looker
- LookML semantic layer with Git version control for governed metrics
- In-database querying on BigQuery, Snowflake, Redshift and Databricks
- Gemini conversational analytics across up to five Explores
- Explores for self-service drill-down without writing SQL
- Embedded analytics with signed embedding and APIs for customer apps
- Scheduled deliveries and alerts to email, Slack and webhooks
- Connected Sheets action to open Explores in Google Sheets
- CSV and Excel upload for quick analysis without LookML modelling
Pros and cons
Pros
- Single source of truth for metrics across the whole company
- No data extracts: always queries live warehouse data
- Strong embedded analytics and API for customer-facing use
- Deep BigQuery and Google Cloud integration with Gemini AI
- Code-based modelling fits analytics engineering workflows
Cons
- No published prices; contracts are typically five figures and up
- Requires developers who know LookML
- Visualisation options are weaker than Tableau
- Annual commitments only, with no monthly plan
- Overkill for small teams with simple reporting needs
Looker pricing
Looker uses a paid model. A 30-day free trial is available.
| Plan | Price | Includes |
|---|---|---|
| Standard | Custom | Under 50 users; incl. 10 standard + 2 developer users; annual |
| Enterprise | Custom | Internal BI at scale; 1 to 3 year commitments |
| Embed | Custom | External and customer-facing analytics at scale |
| Trial | $0 | 30 days; 5 viewer, 1 standard, 1 developer user |
Source: cloud.google.com · checked on Oct 20, 2026
How Looker compares in BI & dashboards
- Rank by votes
- #1 / 16
- Starting price
- —
- Free alternatives
- 4
0 votes from members
Category median is $77/mo
Free or open-source tools in BI & dashboards
Looker ranks #1 of 16 bi & dashboards tools by community votes and is not directly comparable on price.
Common use cases
- 1Company-wide KPI dashboards on a single semantic model
- 2Customer-facing analytics embedded in a SaaS product
- 3Self-service exploration for sales, finance and operations
- 4Natural language questions on governed data with Gemini
- 5Scheduled reports and threshold alerts to Slack and email
Best for
Data teams on a modern cloud warehouse, especially BigQuery, that need governed metrics or embedded analytics at scale.
Not ideal for
Small teams that need a few dashboards on a budget (Data Studio, Metabase, Power BI).
Integrations
- BigQuery
- Snowflake
- Amazon Redshift
- Databricks
- Google Sheets
- Slack
- Git
- PostgreSQL
Our take
Looker is the right pick when metric consistency and embedded analytics matter more than price. Budget for LookML development time, use the 30-day trial to model one real domain, and compare quotes with Power BI and Tableau.
FAQ
- What is Looker?
- Looker is a BI & dashboards tool: Google Cloud's enterprise BI platform built on LookML.
- How much does Looker cost?
- Looker uses a Paid model; see the vendor's pricing page for current plans.
- Does Looker have a free trial?
- Yes, Looker offers a 30-day free trial.
- What does Looker integrate with?
- Looker integrates with BigQuery, Snowflake, Amazon Redshift, Databricks, Google Sheets, Slack and more.
- Which platforms does Looker support?
- Looker is available on web.
- Who is Looker for?
- Data teams on a modern cloud warehouse, especially BigQuery, that need governed metrics or embedded analytics at scale.
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