The choice between Looker Studio vs Power BI often comes down to one question: a free tool that is up and running quickly, or a paid platform that goes deeper? Both are mature, capable tools — but they are built for different things. In this article we set them side by side soberly on price, data sources, data modelling, ease of use, sharing and performance, so you know when to choose what. We work with both ourselves and build dashboards in Power BI and Looker Studio, so we have no stake in which way you go.
The short answer up front
If you mainly want to report on marketing and web data — Google Analytics, Google Ads, Search Console, social — and you want something that looks good, fast, without licence costs, then Looker Studio is usually the logical starting point. It is free, runs in the browser and connects seamlessly with the Google universe.
If, on the other hand, you want to bring data from multiple systems together into one reliable model — CRM, accounting, inventory, production — with calculations that add up and performance that scales, then Power BI is generally the stronger foundation. Especially if your organisation already runs on Microsoft 365.
So it is not a 'one is better' story. It is a question of *what for*. Below we run through the criteria that matter in practice.
Price: free vs paid
This is often the first thing people look at, and rightly so — the difference is real. Looker Studio is free at its core. You can build, share and publish unlimited reports without licence costs. Only with heavy, business data sources or governance at enterprise scale do you end up at the paid Looker Studio Pro, but for most SME reporting you can stay on the free variant.
Power BI works with per-user licences. Power BI Pro costs roughly €9.40 per user per month as an indication (guide price, exact rates vary by Microsoft subscription and can change). Anyone who wants to share or view dashboards in the Power BI Service needs such a licence in principle. For larger or heavier environments there is Power BI Premium with capacity per workspace, which decouples cost from the number of users.
So don't just count the tool, but the number of people too. A Looker Studio report for twenty viewers costs nothing; the same thing in Power BI Pro means twenty licences. On the other hand: if your organisation already uses Microsoft 365, a Power BI licence is sometimes already (partly) included in your existing subscription. Always check that before drawing conclusions about the cost.
Data sources, connectors and data modelling
When it comes to data sources, both are strong, but with their own centre of gravity. Looker Studio connects flawlessly out of the box with Google products (Analytics 4, Ads, Search Console, BigQuery, Sheets) and, on top of that, has a large ecosystem of partner connectors for marketing sources. For web and advertising data it is hard to beat in practice.
Power BI likewise has hundreds of connectors, with a strong emphasis on business and Microsoft sources: SQL Server, Dynamics, SharePoint, Excel, Azure, but also SAP, Salesforce and countless databases. For business data from ERP, CRM and financial systems it generally reaches deeper.
The real distinction lies in data modelling, and here Power BI is clearly the stronger. With Power Query (cleaning and transforming data), a full data model with relationships between tables, and the DAX formula language, you can build complex calculations, time intelligence (year-on-year, moving average) and heavy logic. Looker Studio can calculate fields and 'blend' sources, but it is deliberately lighter: for deep models with many interlinked table relationships you hit its limits sooner.
Rule of thumb: if it is about reporting data that is already tidy, Looker Studio does the job fine. If the data first needs to be *modelled* into a single truth from multiple sources, Power BI wins. If your sources first need a connection or cleaning, then the Flow-Lab for automation and API integrations helps get the data in order in the first place.
Ease of use, sharing and scale
In terms of ease of use for a first report, Looker Studio has a lower threshold. It runs entirely in the browser, you drag elements onto a canvas and share the report the way you share a Google document — with a link or by email address. Anyone who has worked with Google Docs feels at home quickly.
Power BI you typically build in Power BI Desktop (a Windows application) and publish to the Power BI Service. The learning curve is steeper, especially once DAX and data modelling come into play. On the other hand, you can manage sharing and permissions far more granularly: workspaces, app access, and row-level security so that an account manager only sees their own clients within the same dashboard. That ties in seamlessly with your Microsoft 365 identities, which simplifies management — especially if you have your Microsoft 365 migration already behind you.
On scale and performance Power BI comes out on top with large datasets. By loading data into an optimised model (instead of querying it live on every click), dashboards with millions of rows stay fast. Looker Studio more often queries the source directly; that is wonderfully up to date, but with large or slow sources you notice it in the load time. For most SME volumes that is, incidentally, no problem.
When do you choose what? (with comparison table)
Below are the criteria side by side. Read it not as a scoreboard where the highest total wins, but as help to see which tool fits your situation. The prices are indicative and intended as a guide.
Choose Looker Studio if you mainly produce marketing, web and light operational reporting, want something shareable quickly, want to start without licence costs and are already in the Google Workspace ecosystem.
Choose Power BI if you need to bring data from multiple business systems together into one model, need more complex calculations, want tight per-user permissions, work with larger datasets or already run on the Microsoft stack. In practice we also see hybrid set-ups: marketing in Looker Studio, the financial and operational management dashboard in Power BI.
| Criterion | Looker Studio | Power BI |
|---|---|---|
| Price (guide price) | Free (Pro optional) | Pro ~€9.40 per user/mth |
| Best data sources | Google, marketing & web | Microsoft, ERP, CRM, databases |
| Data modelling | Light (blend & calculated fields) | Strong (Power Query, model, DAX) |
| Learning curve | Low, browser-based | Steeper, Desktop + Service |
| Sharing & permissions | Simple, link-based | Granular, row-level security |
| Performance with lots of data | Good, sometimes source-dependent | Strong, optimised model |
| Ideal for | Marketing & light reporting | Deep models & Microsoft stack |
Conclusion: no winner, but a right choice
There is no objective winner in Looker Studio vs Power BI — there is only the choice that fits your sources, your budget, your team and the Microsoft or Google stack you already run on. Looker Studio is strong where it needs to be light and free, close to web and marketing data. Power BI is strong where it needs to be deep and reliable, close to business systems and tight permissions.
The biggest pitfall is not the tool choice, but thinking the tool solves your data problem. A beautiful dashboard on messy or scattered sources remains a beautiful dashboard on messy data. The gain is in connecting and cleaning up beforehand — only then do you choose the tool that presents it best.
We deliberately work in both worlds, build and manage dashboards and choose per situation what is right. Want to spar about what makes sense in your case, or see a working example? View the live dashboard demo or read on about what a Power BI dashboard costs.
In short
- Looker Studio is free and strong for marketing and web data; Power BI Pro costs roughly ~€9.40 per user per month as an indication and goes deeper.
- Power BI wins on data modelling (Power Query, data model, DAX) and on permissions and performance with larger datasets.
- Looker Studio has the lowest threshold: browser-based, quick to share and seamless with the Google ecosystem.
- If you already run on Microsoft 365, Power BI is the logical fit; if you are in Google Workspace, Looker Studio is the obvious choice.
- The tool choice is secondary: first connect and clean up your sources, only then choose which tool presents them best.
Further reading
- What does a Power BI dashboard cost?
- Google Workspace vs Microsoft 365
- Have a Power BI dashboard built
- View the live dashboard demo
Frequently asked questions
Is Looker Studio really completely free?
Yes, the basic version of Looker Studio is free. You can build, share and publish unlimited reports without licence costs. There is a paid Pro variant for heavier business data sources and governance at larger scale, but for most SME reporting you can stay on the free version.
What does Power BI cost per month?
Power BI Pro costs roughly €9.40 per user per month as an indication. This is a guide price; the exact cost depends on your Microsoft 365 subscription and can change. Anyone who shares or views dashboards in the Power BI Service typically needs such a licence. For larger environments there is Power BI Premium with capacity per workspace.
Which is better for marketing and advertising data?
For marketing, web and advertising data, Looker Studio is often the more comfortable choice in practice. It connects seamlessly with Google Analytics, Google Ads and Search Console, and has a large range of partner connectors for other marketing sources. It is also free, which makes it low-threshold to set up reporting quickly.
Can I use both tools alongside each other?
Certainly. In practice we regularly see hybrid set-ups: marketing and web reporting in Looker Studio and the financial and operational management dashboard in Power BI. Which combination makes sense depends on your sources, your team and which ecosystem you already use.
Which should I choose if I already have Microsoft 365?
If your organisation already runs on Microsoft 365, Power BI is the logical option. It ties into your existing identities and permissions management, and sometimes a licence is already partly included in your subscription. Always check that before making a choice, because it can significantly change the cost comparison.
What is the biggest difference between Looker Studio and Power BI?
The biggest difference is in data modelling. Power BI has a full data model with Power Query and the DAX formula language, letting you bring complex calculations and multiple sources together into a single truth. Looker Studio is deliberately lighter and focused on fast, free reporting of data that is already reasonably in order.
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