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Google Datastudio vs Looker: What are the differences?
Developers describe Google Datastudio as "A reporting and data visualization tool". It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. On the other hand, Looker is detailed as "Pioneering the next generation of BI, data discovery & data analytics". We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
Google Datastudio and Looker can be primarily classified as "Business Intelligence" tools.
According to the StackShare community, Looker has a broader approval, being mentioned in 83 company stacks & 51 developers stacks; compared to Google Datastudio, which is listed in 8 company stacks and 4 developer stacks.
Very easy-to-use UI. Good way to make data available inside the company for analysis.
Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.
Can be embedded into product to provide reporting functions.
Support team are helpful.
The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.
Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.
And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.
Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.
Pros of Google Datastudio
- Free6
- Underrated4
- Easy to share2
- Google Analytics Integration1
- BigQuery Integration1
- Same UI controls as Google Docs, Sheet, etc1
- Shareable & editable dashboards1
Pros of Looker
- Real time in app customer chat support4
- GitHub integration4
- Reduces the barrier of entry to utilizing data1
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Cons of Google Datastudio
- Works well with google (not aws or azure)1
Cons of Looker
- Price3
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What is Google Datastudio?
What is Looker?
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What tools integrate with Google Datastudio?
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