Power BI vs Looker: Which BI Tool is Right for You?

Compare Power BI and Looker for business intelligence and data visualization. Power BI offers affordable pricing with Microsoft integration, while Looker provides enterprise-grade modeling with Google Cloud synergy.

Updated 2026-09 · 2026

Power BI

Microsoft's business intelligence platform with affordable pricing and Excel integration

$10user/month

Strengths

+Extremely affordable at $10/user/month for Pro tier
+Seamless integration with Microsoft ecosystem (Excel, Azure, Teams)
+Large library of pre-built visualizations and custom visuals

Weaknesses

-Steeper learning curve for advanced DAX formulas
-Limited collaboration features in lower tiers
-Performance issues with very large datasets

Best for

Organizations already using Microsoft 365 who need affordable BI with strong Excel integration and don't require enterprise-scale data modeling

Looker

Enterprise BI platform with LookML modeling, now part of Google Cloud

Customenterprise pricing

Strengths

+Powerful LookML modeling layer for centralized data definitions
+Git-based version control for analytics code
+Deep integration with Google Cloud and BigQuery

Weaknesses

-Expensive enterprise pricing with no public rates
-Requires technical expertise to build LookML models
-Steeper learning curve for non-technical users

Best for

Large enterprises with technical teams who need centralized data modeling, version control, and embedded analytics capabilities

Feature Comparison

Feature	Power BI	Looker
Starting Price	$10/user/month (Pro)	Custom enterprise pricing
Free Tier	Yes (Desktop version)	No
Data Modeling	DAX language, Power Query	LookML (proprietary modeling language)
Version Control	Limited (PBIX files)	Git-based for LookML models
Cloud Integration	Azure, Microsoft 365	Google Cloud, BigQuery
Self-Service Analytics	Strong with drag-and-drop	Limited without pre-built Looks
Embedded Analytics	Available in Premium tiers	Strong native support
Learning Curve	Moderate (familiar for Excel users)	Steep (requires SQL/LookML knowledge)
Mobile Apps	iOS and Android	iOS and Android
Data Connectors	500+ connectors	60+ native connectors
Collaboration	Teams integration, workspaces	Boards, scheduled deliveries
Target Market	SMBs to mid-market	Enterprise

The Verdict

Power BI wins for cost-conscious organizations and Microsoft shops, offering enterprise-grade BI at $10/user/month with excellent Excel integration. Looker is the better choice for large enterprises that need centralized data modeling, version control, and are heavily invested in Google Cloud—but only if budget allows for custom enterprise pricing. For most small to mid-sized teams, Power BI's affordability and ease of use make it the practical choice.

How to switch from Power BI to Looker

1Export existing Power BI reports and visual-level data using the 'Export data' feature (CSV/Excel) for reference, and document your DAX measures and Power Query transformations so you know what logic needs to be rebuilt in LookML.
2Connect Looker directly to your underlying data sources (data warehouse, SQL database, or BigQuery) rather than trying to migrate PBIX files — Looker works off live connections, not imported files.
3Rebuild your data models in LookML, recreating the relationships, calculated fields, and business logic that lived in your Power BI dataset and DAX formulas.
4Recreate your dashboards and reports as Looks and Explores in Looker, prioritizing the highest-traffic Power BI reports first.
5Rebuild integrations and automations — replace Teams-based report sharing and Power Automate flows with Looker's scheduled deliveries, Slack integration, or embedded analytics as needed.
6Run both platforms in parallel for a short period, migrate a pilot group of users first, then cut over the full team once dashboards are validated and Power BI licenses can be phased out.

Power BI vs Looker: common questions

How do I export my reports and data from Power BI before switching to Looker?+

Power BI doesn't have a single 'export all' button — you export data from individual visuals using the 'Export data' option (CSV or Excel format), or you export the full report as a PDF/PowerPoint for archival. For an actual migration, the practical path is to reconnect Looker directly to your underlying data sources (SQL databases, data warehouses, Azure Synapse, etc.) rather than trying to move data out of PBIX files, since Looker rebuilds everything through LookML models against live connections.

What features do I lose moving from Power BI to Looker?+

You lose the tight Excel/Office integration, the huge library of custom visuals, and the desktop-first drag-and-drop report building that non-technical users rely on in Power BI. You also lose the low, predictable per-user pricing — Looker requires custom enterprise contracts and someone on your team who can write LookML.

Is Looker overkill for a small team, or is there a lighter free option?+

Looker has no free tier and no self-serve pricing, so it's generally not a fit for small teams — it's built for organizations with dedicated data engineers and enterprise budgets. If you're a small team evaluating this switch, it's worth confirming you actually need LookML's centralized modeling and Git-based version control, versus staying on Power BI Pro or trying Looker Studio (Google's free, lighter-weight BI tool) instead.

Does Looker integrate with the Microsoft tools we already use, like Excel and Teams?+

Looker can connect to Azure-hosted databases as a data source, but it doesn't have native Excel or Teams integration the way Power BI does. If your workflows depend on pushing data into Excel or sharing dashboards inside Teams, expect to rebuild those workflows using Looker's scheduled delivery and embedding features instead.

How does the cost of switching to Looker compare to staying on Power BI over time?+

Power BI Pro is a fixed $10/user/month, so costs scale predictably as your team grows. Looker's enterprise pricing is custom and typically requires an annual contract with implementation and platform fees on top, so for most small-to-mid-sized teams the total cost is significantly higher than Power BI over a 2-3 year horizon — the switch usually only pays off if you need LookML's governance at real enterprise scale.