More BI tools like Microsoft Power BI and Tableau

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Looker semantic models.
Google Analytics data extractions .
Connectors for additional SQL databases, for example: PostgreSQL, Microsoft SQL Server or MySQL.
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If you want to see a more detailed comparison between Looker Studio and Data Studio , here are some key differences to consider:

Functionality and approach : Data Studio focuses india mobile database primarily on data visualization and interactive reporting. It is a tool best suited for users looking to create simple and quick dashboards. On the other hand, Looker Studio offers more advanced data storage and analysis capabilities. In addition to data visualization, it allows for deeper analysis, building semantic models, and performing predictive analytics.
Data Storage Capacity: Looker Studio has a higher data storage power compared to Data Studio. It can handle large volumes of data both locally and in the cloud, making it a more suitable option for businesses with large-scale data analysis needs.
Looker Studio versus Data Studio

Integrations and data sources: Looker Studio has expanded its ability to integrate with different data sources. In addition to existing data sources in Data Studio, Looker Studio allows you to add Looker semantic models, data extracts from Google Analytics, BI tools such as Microsoft Power BI and Tableau, and connectors for additional SQL databases such as PostgreSQL, Microsoft SQL Server, or MySQL.
Complexity and learning:

Data Studio is known for its ease of use and gentler learning curve, making it accessible to users who are new to data analysis. Looker Studio, on the other hand, can be more complex and requires a bit more time to learn and master due to its advanced capabilities.