Looker vs Microsoft Power BI

Looker and Microsoft Power BI are both analytics options. Looker lists 6 features across 1 platform; Microsoft Power BI lists 8 features across 4 platforms — see the full breakdown below, sourced from each vendor's own site rather than ratings or reviews.

Side-by-side summary

ComparingLookerMicrosoft Power BI

CategoryAnalyticsAnalytics

Alternatives tracked21

PlatformsWebWeb, Windows, iOS, Android

Pricing modelunknownpaid

Best for Looker

Organizations that want a governed, semantic-layer-first BI platform tightly integrated with Google Cloud and BigQuery, and that are comfortable negotiating platform-plus-user pricing with sales rather than buying self-serve.

Best for Microsoft Power BI

Organizations already invested in Microsoft 365 or Microsoft Fabric that want per-user BI licensing and tight integration with Excel, Teams, and SharePoint for report distribution.

Feature comparison

Every feature listed here comes directly from each vendor's own official site.

Looker

LookML semantic layer that defines business logic and metric definitions once, above the underlying cloud data warehouse
Conversational Analytics: natural-language querying powered by Gemini, including specialized Dashboard Agents embedded directly in BI dashboards
Embedded analytics via Looker APIs and SDKs for building custom data applications and data-to-UI pipelines inside other products
Native integration with Google Cloud, including SSO via Google Cloud IAM, private networking, and direct BigQuery integration
Three per-user license types (Developer, Standard, Viewer) matching cost and capability to how much access each person needs
Data blending for ad hoc analysis of CSVs and local files alongside governed LookML models

Microsoft Power BI

Drag-and-drop report canvas for building interactive visual reports
Copilot in Power BI for natural-language questions that auto-generate visuals and narrative text summaries of report data
Semantic models with AI-assisted modeling guidance for building reusable, business-ready data models
OneLake integration for a shared data foundation with consistent security and governance across Fabric workloads
Embedding and sharing throughout Microsoft 365, including Teams, Excel, PowerPoint, SharePoint, and Outlook
Connects to data from cloud and on-premises sources
Template apps for accelerating report building with pre-built solutions
Power BI Desktop (Windows) for authoring, plus Power BI mobile apps for viewing on the go

Pros and cons

Looker

Pros

LookML semantic layer that defines business logic and metric definitions once, above the underlying cloud data warehouse
Conversational Analytics: natural-language querying powered by Gemini, including specialized Dashboard Agents embedded directly in BI dashboards
Embedded analytics via Looker APIs and SDKs for building custom data applications and data-to-UI pipelines inside other products
Native integration with Google Cloud, including SSO via Google Cloud IAM, private networking, and direct BigQuery integration
Three per-user license types (Developer, Standard, Viewer) matching cost and capability to how much access each person needs
Data blending for ad hoc analysis of CSVs and local files alongside governed LookML models

Cons

We don't publish a "cons" list for either product. No vendor's official site documents its own product's weaknesses, so there's no sourced basis for one — and we'd rather say that plainly than invent one.

Microsoft Power BI

Pros

Drag-and-drop report canvas for building interactive visual reports
Copilot in Power BI for natural-language questions that auto-generate visuals and narrative text summaries of report data
Semantic models with AI-assisted modeling guidance for building reusable, business-ready data models
OneLake integration for a shared data foundation with consistent security and governance across Fabric workloads
Embedding and sharing throughout Microsoft 365, including Teams, Excel, PowerPoint, SharePoint, and Outlook
Connects to data from cloud and on-premises sources
Template apps for accelerating report building with pre-built solutions
Power BI Desktop (Windows) for authoring, plus Power BI mobile apps for viewing on the go

Cons

Key differences

Looker lists LookML semantic layer that defines business logic and metric definitions once, above the underlying cloud data warehouse, Conversational Analytics: natural-language querying powered by Gemini, including specialized Dashboard Agents embedded directly in BI dashboards, Embedded analytics via Looker APIs and SDKs for building custom data applications and data-to-UI pipelines inside other products, Native integration with Google Cloud, including SSO via Google Cloud IAM, private networking, and direct BigQuery integration, Three per-user license types (Developer, Standard, Viewer) matching cost and capability to how much access each person needs, Data blending for ad hoc analysis of CSVs and local files alongside governed LookML models that Microsoft Power BI doesn't list.
Microsoft Power BI lists Drag-and-drop report canvas for building interactive visual reports, Copilot in Power BI for natural-language questions that auto-generate visuals and narrative text summaries of report data, Semantic models with AI-assisted modeling guidance for building reusable, business-ready data models, OneLake integration for a shared data foundation with consistent security and governance across Fabric workloads, Embedding and sharing throughout Microsoft 365, including Teams, Excel, PowerPoint, SharePoint, and Outlook, Connects to data from cloud and on-premises sources, Template apps for accelerating report building with pre-built solutions, Power BI Desktop (Windows) for authoring, plus Power BI mobile apps for viewing on the go that Looker doesn't list.
Microsoft Power BI supports Windows, iOS, Android, which Looker doesn't list.

Choose Looker if…

Choose Looker if this fits: Organizations that want a governed, semantic-layer-first BI platform tightly integrated with Google Cloud and BigQuery, and that are comfortable negotiating platform-plus-user pricing with sales rather than buying self-serve.

Visit Looker

Choose Microsoft Power BI if…

Choose Microsoft Power BI if this fits: Organizations already invested in Microsoft 365 or Microsoft Fabric that want per-user BI licensing and tight integration with Excel, Teams, and SharePoint for report distribution.

Visit Microsoft Power BI

Facts on this page are sourced from each vendor's official site (linked below), not from ratings or reviews. Products change — verify anything that matters to your decision directly on the vendor's own site before switching. See our Disclaimer and Sources Policy.