What is Data Studio?
In Data Studio you build reports by drag and drop: tables, time series, bar and pie charts, maps and scorecards. Filters and date range controls make a report interactive, so viewers can narrow it down by period, channel or country themselves. Several people can work on a report together.
Since the return to the old name in April 2026, Google has drawn a clearer line between the tool and Looker. Looker is the paid enterprise platform with a central data model, while Data Studio is intended for your own analyses and reports.
Data sources and connectors
A connector links Data Studio to a data source. Google itself offers connectors for Google Analytics 4, Google Ads, Google Search Console, YouTube Analytics, Google Sheets, BigQuery, CSV and Excel files and databases such as MySQL and PostgreSQL, among others. In addition, there are partner connectors from third parties, for example for advertising platforms and shop systems. Their terms and prices are set by the providers themselves.
Data Studio does not show data in real time. It refreshes data from Google Ads and Search Console at a fixed interval of 12 hours, and data from Google Analytics by default at the same interval. Google Sheets is queried every 15 minutes in the default setting. If you expect same-day figures, take this into account when building the report.
Sharing reports and controlling access to data
You can share a report with people or Google Groups like a Google document, either to view or to edit. Editing always requires a Google account. With link sharing, a report can also be viewed without an account. It can also be sent as a PDF by email on a schedule or embedded in a website.
The difference between access to the report and access to the data is important. According to Google, the data source’s credentials determine who can see the data. With the owner’s credentials, anyone who may open the report also sees the figures, without having access to the Google Analytics account themselves. With the viewer’s credentials, each person needs their own access to the source. Check this setting before you share a report by link.
Limits with Google Analytics 4 and large data volumes
Reports with data from Google Analytics 4 are subject to the quotas of the Analytics interface. If many people open a report with many charts, Data Studio reports errors such as “This property has issued too many requests in the last hour” and stops showing figures. The “Google Analytics Token Usage” dialog, which you open by right-clicking the report or a chart, shows how much a report consumes.
Google suggests several workarounds: use the owner’s credentials so that viewers share cached data, merge duplicate data sources, use fewer charts per page or switch to Google Analytics 360. Another option is the BigQuery export: the raw data lands in a database of your own, and Data Studio reads it via the BigQuery connector without the Google Analytics quotas. However, BigQuery charges for storage and queries, and the raw data has to be prepared for reporting first.
Data Studio or Data Studio Pro?
The free version is sufficient for most marketing reports. In it, reports and data sources belong to the person who created them. If that person leaves the company, an administrator can transfer the content to someone else.
Data Studio Pro is the paid version for organisations. There, content belongs to the company and can be linked to a Google Cloud project through which you manage access centrally. Team workspaces with the roles Manager, Content Manager, Contributor and Viewer organise who sees and edits which reports. AI features with Gemini are also included. Technical support is only available together with a Google Cloud support plan. Pro can be tried free of charge for 30 days.
How to plan a dashboard
- Define the audience: management, the marketing team and the agency need different views. One report per audience is clearer than one for everyone.
- Choose the metrics: decide in advance which KPIs support a decision. Everything else belongs on a detail page.
- Clarify the data sources: note which source each figure comes from and how up to date it is. Differences between Google Ads and Google Analytics are normal as long as it is clear where they come from.
- Set access: choose credentials and sharing deliberately from the start.
