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Looker vs Power BI

A detailed comparison to help you choose the right tool for your needs.

Looker logo

Looker

Analytics

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VS
Power BI logo

Power BI

Analytics

Try Power BI

A
About Looker

Looker is a business intelligence and data analytics platform, now part of Google Cloud, that allows organizations to explore, analyze, and share real-time business data. It uses a unique modeling language called LookML to define data relationships and metrics in a centralized layer, ensuring consistency across the organization. It's built for data teams who want to create governed data models and for business users who need self-service access to reliable dashboards and reports. Looker stands out from other BI tools through its database-in-place architecture, meaning it queries data directly in your warehouse rather than extracting it, keeping insights always up to date.

B
About Power BI

Power BI is Microsoft's business intelligence platform that lets users connect to hundreds of data sources, transform raw data, and create interactive dashboards and reports. It's built for business analysts, data professionals, and decision-makers who need to turn complex datasets into clear visual stories. Its tight integration with the Microsoft ecosystem — including Excel, Azure, and Teams — gives it a significant edge for organizations already invested in Microsoft products. The platform ranges from a free desktop tool to enterprise-grade cloud services, making it accessible to individuals and large organizations alike.

Pricing Comparison

Tool
Looker
Power BI
Price
Custom pricing
Free — From $9.99/user/mo
Category
Analytics
Analytics
Rating
4.0 (49)
3.6 (40)
Free Plan
No
No
Integrations
8+ apps
8+ apps
Founded
2012
2015

Feature Comparison

Feature
Looker
Power BI
Customizable data dashboards
Real-time data exploration
Integrated SQL query capabilities
Data modeling with LookML
Collaboration through shared reports
Scheduled report delivery
Data embedding in applications
Real-time data visualization
Customizable dashboards and reports
Natural language query capabilities
Data modeling and transformation tools
Integration with various data sources
Collaboration features for teams
Mobile access for on-the-go insights

Choose Looker

Looker is a powerful analytics platform that enables data exploration and visualization.

Try Looker Free

Read full review

Choose Power BI

Power BI is a powerful analytics tool that transforms data into interactive insights.

Try Power BI Free

Read full review

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Score Comparison

Ease of Use
6.0
7.0
Features
9.0
9.0
Pricing
5.0
8.0
Support
8.0
7.0
Integrations
9.0
9.0
Overall
7.4
8.0
LookerPower BI

Our Verdict

Looker

You need a customizable analytics platform for extensive data exploration and visualization.

Better support
Power BIWinner

Pick Power BI when your team seeks a cost-effective, interactive analytics tool with robust integration for Microsoft products.

Easier to get started
More affordable

Looker vs Power BI: The Bottom Line

Both Looker and Power BI are strong analytics tools, but they serve different needs. Looker has a higher user rating (4.0 vs 3.6). On pricing, Power BI is more affordable starting at $10/mo.

Still unsure? Check the full reviews for Looker and Power BI, explore Looker alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Looker or Power BI better?

It depends on your needs. Looker (4.0★) is from $150/mo, while Power BI (3.6★) is from $10/mo. Looker has a higher user rating.

Can I switch from Looker to Power BI?

Yes. Most SaaS tools offer data export features. Check if Power BI has a migration guide or import tool specifically for Looker users. Many offer onboarding assistance for switchers.

Which is cheaper, Looker or Power BI?

Power BI starts at $10/mo, which is cheaper than Looker at $150/mo.

What are the main differences between Looker and Power BI?

Looker focuses on customizable data dashboards and real-time data exploration, while Power BI emphasizes real-time data visualization and customizable dashboards and reports. Both are in the Analytics category but serve slightly different use cases.