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Power BI vs Looker

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

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Power BI

Analytics

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VS
Looker logo

Looker

Analytics

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A
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.

B
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.

Pricing Comparison

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

Feature Comparison

Feature
Power BI
Looker
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
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

Choose Power BI

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

Try Power BI Free

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Choose Looker

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

Try Looker Free

Read full review

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Score Comparison

Ease of Use
7.0
6.0
Features
9.0
9.0
Pricing
8.0
5.0
Support
7.0
8.0
Integrations
9.0
9.0
Overall
8.0
7.4
Power BILooker

Our Verdict

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

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

Better support

Power BI vs Looker: The Bottom Line

Both Power BI and Looker 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 Power BI and Looker, explore Power BI alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Power BI or Looker better?

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

Can I switch from Power BI to Looker?

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

Which is cheaper, Power BI or Looker?

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

What are the main differences between Power BI and Looker?

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