Google Looker vs Microsoft Power BI Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Google Looker

0.0 (0 reviews)

Google Looker is a modern business intelligence and data modeling platform that helps you explore, analyze, and share real-time business insights through a unified, governed data layer.

Starting at Free
Free Trial 30 days
VS

Microsoft Power BI

0.0 (0 reviews)

Microsoft Power BI is a unified self-service and enterprise business intelligence platform that connects to any data source to help you visualize information and share insights across your organization.

Starting at Free
Free Trial 60 days

Quick Comparison

Feature Google Looker Microsoft Power BI
Website looker.google.com powerbi.microsoft.com
Pricing Model Custom Freemium
Starting Price Free Free
FREE Trial ✓ 30 days free trial ✓ 60 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud mobile saas desktop mobile
Integrations Slack Salesforce Google BigQuery Snowflake Amazon Redshift Microsoft Azure SQL Zendesk HubSpot Google Drive Segment Microsoft Excel Microsoft Teams SharePoint Salesforce Google Analytics Azure SQL Dynamics 365 Mailchimp Adobe Analytics GitHub
Target Users mid-market enterprise small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2012 2011
Headquarters Santa Cruz, USA Redmond, USA

Overview

G

Google Looker

Looker is a powerful data platform that changes how you access and use your company's information. Instead of relying on static reports, you can explore live data directly from your database using a centralized modeling language called LookML. This ensures everyone in your organization works from a single version of the truth, whether you are building complex visualizations or embedding analytics into your own custom applications.

You can create interactive dashboards that allow team members to drill down into specific metrics without needing technical expertise. The platform integrates deeply with Google Cloud but remains flexible enough to connect with various SQL databases across different cloud environments. It is designed for data-driven organizations that need to scale their analytics capabilities while maintaining strict governance and security over their data assets.

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Microsoft Power BI

Microsoft Power BI helps you turn unrelated sources of data into coherent, visually immersive, and interactive insights. You can easily connect to hundreds of data sources—from Excel spreadsheets to cloud-based data warehouses—and create compelling reports that you can share with your team. It simplifies the complex process of data analysis by providing a user-friendly interface that feels familiar if you already use other Microsoft products.

You can build custom dashboards that provide a 360-degree view of your business in real-time. Whether you are a data scientist performing deep analysis or a business manager looking for quick status updates, the platform scales to meet your needs. It solves the problem of data silos by centralizing your information, allowing you to make faster, more informed decisions based on live data rather than static reports.

Overview

G

Google Looker Features

  • LookML Modeling Define your business logic once in a centralized layer so every user gets consistent, accurate results across all reports.
  • Embedded Analytics Inject powerful charts and data explorations directly into your own customer-facing applications or internal tools using flexible APIs.
  • Real-time Dashboards Build interactive visual displays that update instantly as your database changes, giving you a live pulse on your business.
  • Data Actions Take immediate action on insights by sending data directly to tools like Slack, Salesforce, or Zendesk from your dashboard.
  • Multi-cloud Flexibility Connect to multiple SQL databases across AWS, Azure, or Google Cloud without moving your data from its original home.
  • Looker Studio Integration Combine the governed data of Looker with the easy drag-and-drop report building of Looker Studio for faster sharing.
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Microsoft Power BI Features

  • Data Connectivity. Connect to hundreds of data sources including Excel, SQL Server, and Salesforce to bring all your information into one view.
  • Interactive Dashboards. Create live dashboards that update in real-time so you can monitor your most important business metrics at a glance.
  • Natural Language Q&A. Type questions about your data in plain English and get immediate visual answers without writing complex code or queries.
  • AI-Powered Insights. Find hidden patterns and trends automatically with built-in machine learning features that explain the 'why' behind your data changes.
  • Mobile Reports. Access and interact with your reports on the go using native mobile apps designed for touch-screen data exploration.
  • Custom Visualizations. Choose from a vast library of open-source visuals or build your own to represent your data exactly how you want.

Pricing Comparison

G

Google Looker Pricing

Looker (Google Cloud Core) Free
$0
  • 1 user included
  • Google Cloud console access
  • Looker Studio integration
  • Basic data modeling
  • Community support
M

Microsoft Power BI Pricing

Power BI Desktop
$0
  • Create reports and dashboards
  • Connect to 70+ data sources
  • Export to PowerPoint and PDF
  • Python and R integration
  • Automatic data refresh

Pros & Cons

M

Google Looker

Pros

  • Centralized data modeling ensures consistent metrics across teams
  • Powerful drill-down capabilities for deep data exploration
  • Excellent integration with the Google Cloud ecosystem
  • Highly customizable for developers using LookML

Cons

  • Steep learning curve for mastering LookML syntax
  • Pricing can be high for smaller organizations
  • Requires a clean underlying database for best performance
A

Microsoft Power BI

Pros

  • Seamless integration with the Microsoft ecosystem
  • Extremely affordable entry price for small teams
  • Massive community support and template library
  • Powerful data modeling capabilities for advanced users
  • Frequent monthly updates with new features

Cons

  • Steep learning curve for DAX formulas
  • Desktop version is only available for Windows
  • Performance can lag with very large datasets
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