For vendors— is your company listed?

Claim a listing Submit a listing Promote your company Pricing & info

Directory Data & AnalyticsBI & Data VisualizationLooker Studio (Google)

Looker Studio (Google)

Visit Website Claim this listing

About Looker Studio (Google)

Looker Studio is a tool for creating interactive dashboards and reports from data. It is free to use.

Key Capabilities

✓Connect to diverse data sources via built-in connectors
✓Create interactive and customizable dashboards
✓Real-time collaboration and report sharing
✓Embed reports on external web pages
✓Extend functionality through developer platform

Integrations

Google BigQueryGoogle SheetsGoogle Analytics

Other BI & Data Visualization Vendors

Apache Superset

Chartio (Atlassian)

Related Buyer Guides

Independent evaluation frameworks for this category.

AI/ML Platforms

Compare Databricks Mosaic AI, AWS SageMaker, Azure Machine Learning, Google Vertex AI, Snowflake Cortex, Dataiku, DataRobot, and Weights & Biases on the question this category actually turns on — getting governed models into production and keeping them healthy, not the accuracy of a one-off notebook.

Business Intelligence & Analytics

Evaluate Power BI, Tableau, Qlik, Looker, ThoughtSpot, Sigma, Amazon QuickSight, Strategy, SAP Analytics Cloud, and Domo on the question that decides BI value — whether self-service freedom and a governed semantic layer can coexist, not whose charts look best.

Cloud Data Warehouse

Enterprise evaluation framework for Cloud Data Warehouse platforms.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? Claim this listing or .

Quick Facts

lookerstudio.google.com

CategoryData & Analytics

SubcategoryBI & Data Visualization

PricingSubscription

DeploymentSaaS

Target SizeEnterprise

Explore

All Data & Analytics vendors Browse BI & Data Visualization Compare with filters Full vendor directory

Related Articles

Evaluating Your Current Data Landscape The BI Transformation Process Setting Meaningful Data Goals