Looker Studio vs Power BI in 2026
Looker Studio and Power BI are both serious analytics platforms. Here’s an honest, practical comparison — price, learning curve, data modelling and who each really suits — plus the case for a lighter, spreadsheet-native tool when both are more than you need.
Looker Studio vs Power BI, in short
Both are powerful; they differ on ecosystem, price and learning curve.
Looker Studio (formerly Google Data Studio) is free and superb for Google-ecosystem data (Analytics, Ads, Sheets, BigQuery), with easy web-based sharing. Power BI is more powerful for large, modelled data and the Microsoft stack, at a per-user price and a steeper DAX learning curve.
Pick Looker Studio if your data lives in Google and you want free, shareable dashboards; pick Power BI for heavier modelling, Microsoft integration and enterprise governance. Both still expect you to connect and model your sources.
If your data lives in spreadsheets rather than Google or a warehouse, a spreadsheet-native tool like DataHub Pro skips the modelling entirely — upload the file, get an auditable dashboard in minutes. Free to start, $14.99/mo.
The tools compared
Head to head (verify current pricing with each vendor).
| Looker Studio | Power BI | DataHub Pro | |
|---|---|---|---|
| Entry price | Free | ~$14/user/mo | Free, then $14.99/mo |
| Best at | Google-data dashboards | Microsoft-stack, modelled data | Dashboards from spreadsheets |
| Learning curve | Moderate | Steep (DAX/model) | Minimal (plain English) |
| Needs a data model? | Some | Yes | No |
| Works on Excel directly? | Via import | Via import | Yes, natively |
Where to run it
Pick by setup and budget.
Looker Studio
- Free & web-based
- Great for Google data
- Weaker on big/modelled data
- Some modelling needed
DataHub Pro
- Reads your Excel/CSV directly
- Auditable, deterministic results
- Dashboards, forecasts, reports
- Free tier, then $14.99/mo
Power BI / Tableau
- No modelling, no SQL
- Reads your Excel/CSV
- Auditable dashboard in ~2 min
- Free, then $14.99/mo
Frequently asked questions
Is Looker Studio or Power BI better?
Neither is universally better — it depends on your stack, budget and team. Both need a modelled data source and a learning curve. If you just want dashboards from spreadsheets, a lighter tool like DataHub Pro beats both on speed and setup.
Which is cheaper, Looker Studio or Power BI?
Pricing depends on edition and capacity — verify current rates with each vendor. Both are typically priced per user or per capacity, well above a spreadsheet-native tool’s flat plan.
Which is easier to learn, Looker Studio or Power BI?
Both have real learning curves around data modelling and their query/calculation languages. For non-specialists who just need a dashboard, a tool that takes plain-English questions is easier than either.
Do I need Looker Studio or Power BI at all?
Many teams below enterprise scale need neither — a spreadsheet-native tool covers dashboards and reports without the modelling and per-seat cost.
When should I use DataHub Pro instead?
When your data lives in spreadsheets and you want auditable dashboards, forecasts and reports in minutes, without modelling or a specialist.
Can Looker Studio and Power BI read Excel directly?
Both can import Excel but usually expect you to model the data first. A spreadsheet-native tool works on the file directly with no modelling step.
Explore related guides
More comparisons and guides.
Skip the setup, keep the insight
Upload your spreadsheet and get an auditable dashboard, forecast and report in about two minutes — no modelling. Free to try.
Try it free on your file →