Power BI vs Looker Studio
Looker Studio (formerly Google Data Studio) is free and cloud-native; Power BI is a deeper, paid BI platform. Both build dashboards — but they suit different data, budgets and ecosystems. Here's how to choose, and when neither is needed.
The short answer
Choose Looker Studio for free, web-based dashboards, especially on Google data (Analytics, Ads, Sheets). Choose Power BI for deeper modelling, larger data and Microsoft integration. If your data is spreadsheets and you want analysis plus reports, not just charts, a spreadsheet-native AI tool may fit better.
Head to head
Two capable dashboard tools, different centres of gravity. Here's an honest read of where each one shines and where it strains.
Looker Studio
- Free to use
- Web-based and collaborative
- Strong with Google sources
- Lighter modelling capabilities
- Fine for straightforward dashboards
Power BI
- Powerful data modelling with DAX
- Handles larger, more complex data
- Microsoft 365 / Azure integration
- Per-seat licensing for sharing
- Steeper learning curve
When to use each
Match the tool to the task — not to a habit or a logo.
Choose Looker Studio
Free dashboards, Google data, simple sharing.
Choose Power BI
Complex models, larger data, Microsoft ecosystem.
Choose neither
You have spreadsheets and want analysis and reports, not just a dashboard.
Where DataHub Pro fits
Both are dashboard builders that assume you've prepared the data. DataHub Pro does the analysis too — upload a spreadsheet and get forecasts, segmentation and a written report alongside the dashboard, every figure auditable, no model to build. Its AI runs deterministic pandas operations and returns the call trace, so you can see exactly how each figure was derived — from $14.99/mo, with a free tier.
FAQ
Is Looker Studio the same as Google Data Studio?
Yes. Google rebranded Data Studio as Looker Studio. It is the free, web-based dashboarding tool in Google's analytics family.
Is Power BI or Looker Studio better?
Looker Studio is better for free, simple, web-based dashboards, especially on Google data. Power BI is better for deeper modelling, larger datasets and Microsoft integration, at the cost of licensing and complexity.
Which is better for spreadsheet data?
Either can chart a spreadsheet, but if you want analysis — forecasts, segmentation, a written report — rather than just a dashboard, a spreadsheet-native AI tool like DataHub Pro does more from the same file.
Keep exploring
More on choosing the right analysis tool for spreadsheet-first teams.
More than a dashboard.
Upload a spreadsheet and DataHub Pro builds the analysis, forecast and report — auditable, in minutes. Free to try.
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