Google resurrects Data Studio: the end of the Looker Studio experience

After 3 and a half years under the name Looker Studio, Google is renaming its analysis tool. Data Studio is making a comeback, with a clarified positioning and new ambitions around AI and the Data Cloud. Find out what this actually changes for users.

Back to the origins: why Google went backwards

On October 11, 2022, Google renamed Data Studio to Looker Studio to unify its Business Intelligence portfolio under the Looker brandacquired in 2020. The intention was clear: to position Looker as the enterprise BI platform, and Data Studio as its lightweight self-service version, all under a single brand umbrella.

On paper, the logic made sense. In practice, the result was problematic.

Having two separate products sharing the same main name (“Looker” and “Looker Studio”) caused confusion. Customers no longer knew which tool to choose. Sales and marketing teams struggle to explain the difference between Looker, Looker Studio and Looker Studio Pro. The unification strategy, coherent in a product organization chart, proved to be counterproductive on the ground.

Google didn't explicitly say this in its announcement, but the choice of words is telling: the Data Studio brand is described as a “loved and familiar name” that is being “reintroduced.” This is implicitly recognizing that the 2022 renaming did not do users any favors.

A positioning finally readable

With this return to the original name, Google makes a clear differentiation between its two analysis tools:

• Data Studio is aimed at personal data mining. It is the tool for creating ad hoc reports, building interactive dashboards quickly and visualizing data from the Google ecosystem: BigQuery, Google Sheets, Google Ads. It remains completely free for this individual use.
• Looker remains the enterprise BI platform. It targets organizations that need governed data, core semantic models, and AI-driven agentic capabilities. Looker has also recently received significant investments in its self-service and visualization functionalities.

This clear separation between the two products is actually more useful to customers than the previous diagram, where two tools of very different tiers shared the same “Looker” label.

What Data Studio is becoming in the AI ​​era

Renaming is not limited to a question of branding. Google is repositioning Data Studio as a central hub for all Google Data Cloud assets. Concretely, in a single interface, the user will be able to access:

• Its classic Data Studio reports
• BigQuery chatbots
• Data applications built in Colab notebooks

This is a notable evolution from the old Looker Studio, which was primarily focused on visualization. Google's stated vision is to provide a single entry point to navigate its entire data ecosystem as AI becomes integrated into analytical workflows.

Google specifies that the details of this roadmap will be presented to Google Cloud Next '26scheduled for later this month.

Two editions: free and Pro

The offer is organized into two levels:

• Data Studio (free): individual analysis, creation of reports and interactive dashboards, data sharing. It is the entry point for anyone wishing to view their data in the Google ecosystem without paying anything.
• DataStudio Pro (paid): Formerly Looker Studio Pro, this version targets teams and organizations that need advanced features: enterprise-grade security, management, compliance, AI capabilities, and deep integration with Google Cloud. Licenses are purchased directly from the Google Cloud console or the Google Workspace administration console.

For current users: nothing to do

This is the central point for anyone using Looker Studio on a daily basis: migration is transparent. All existing reports, data sources, assets and users will automatically be transferred to the new Data Studio experience. No action is required.

The name change does not involve rebuilding dashboards or reconfiguring connections. The basic functionality remains unchanged for now, although interface developments are to be expected in the weeks and months following the announcement.

For professionals who use the tool in a client reporting context, continuity is assured. The question that remains open, raised by several industry observers, is whether the “Looker vision central hub for data assets” will actually materialize in the form of concrete functionalities, or will remain at the launch promise stage.