Power BI vs Looker Studio: choosing a BI dashboard tool

Power BI is Microsoft's business intelligence platform. You build reports in Power BI Desktop, a free Windows application, and publish them to the Power BI service in the browser, where colleagues view and interact with them. It includes Power Query for cleaning and shaping data and DAX, a formula language for calculations.

Looker Studio, formerly Google Data Studio, is Google's free, browser-based reporting tool. You connect data sources, drag charts onto a canvas and share reports much like a Google Doc. A paid Looker Studio Pro version adds team management and administration features. It is separate from Looker, Google's enterprise BI platform.

Looker Studio shines for marketing and website reporting. Its native connectors for Google Analytics 4, Google Ads, Search Console, YouTube Analytics, Google Sheets and BigQuery take minutes to set up. Reports are easy to share with clients or colleagues using a link, and nobody needs a licence to view them.

It is a good fit if:

• Most of your data comes from Google products or lives in Google Sheets.
• You need client-facing or management dashboards quickly, with little training.
• Your team uses Macs, Chromebooks or works entirely in the browser.
• Your budget for reporting tools is tight.

The limits appear as needs grow. Joining data from several sources uses "blending", which is less flexible than a proper data model. Reports can become slow with large datasets or many blended charts. Connecting non-Google systems, such as a CRM, accounting software or social ad platforms, often means a paid third-party connector or first loading the data into BigQuery or Sheets.

Power BI is built for business-wide reporting. It connects to SQL databases, Excel, SharePoint, Dynamics, Salesforce, many accounting and ERP systems, APIs and much more. Power Query lets you clean and reshape data with repeatable steps. The data model lets you link tables, such as orders, customers and products, and write measures like year-on-year growth or margin once and reuse them everywhere.

It is a good fit if:

• You need to combine data from several systems into one view.
• Calculations are complex, such as finance, inventory or sales pipeline metrics.
• Different people should see different data, for example each regional manager seeing only their region, using row-level security.
• Your business already runs on Microsoft 365, Excel and Teams, where Power BI reports can be embedded.

The trade-offs are cost and skill. To share reports in the Power BI service, report creators and viewers generally need a paid licence, unless your organisation buys capacity. Power BI Desktop runs only on Windows. And getting the most from DAX and data modelling takes time to learn.

In Power BI, imported datasets refresh on a schedule. With a Pro licence you can schedule up to eight refreshes a day, with more available on higher tiers. You can also use DirectQuery to read live from a source, at some cost to speed. On-premises data needs a gateway installed on a machine in your network.

In Looker Studio, most Google connectors query data when the report loads, with a data freshness setting that controls how long results are cached. This feels live but can be slow for large sources. For heavier reporting, loading data into BigQuery first is the usual fix.

We will not quote prices, because they change and vary by region, but the cost drivers are clear.

• Looker Studio: free to build and share. Costs come from paid connectors for non-Google data, BigQuery usage if you use it, and Looker Studio Pro if you want team-level management.
• Power BI: Desktop is free. Sharing needs per-user licences for both creators and viewers, or a capacity-based plan for larger audiences. Some enterprise Microsoft 365 plans, such as E5, include Power BI Pro, so check what you already have.

For both, the bigger cost is usually people's time: preparing data, defining metrics and maintaining reports. Good data foundations save more money than the choice of tool. Our data engineering service covers pipelines and data warehouses that make either tool faster and more reliable.

Yes, and many businesses do. A common pattern is Looker Studio for marketing and website dashboards shared with agencies and clients, and Power BI for finance, operations and management reporting. If both read from the same data warehouse, such as BigQuery, Azure SQL or Snowflake, the numbers stay consistent across both tools.

1. List the data sources you need. If most are Google products, lean towards Looker Studio.
2. Count the people who will view reports. Many viewers without existing Microsoft licences favours Looker Studio.
3. Check whether you need row-level security or complex calculations. If yes, lean towards Power BI.
4. Check your team's devices and skills. Windows and Excel users adapt to Power BI more easily.
5. Build one real dashboard in your preferred tool before committing.

If you are also choosing a productivity suite, our comparison of Microsoft 365 and Google Workspace explains how each ecosystem fits together, and our Microsoft 365 setup team can help if Power BI is part of that plan.

We design and build dashboards in both Power BI and Looker Studio, connect the data behind them and define metrics your team can trust. See our BI dashboards service or contact us to talk through your reporting needs.