Data Studio vs Looker: What are the differences?
Developers describe Data Studio as "Your data is powerful. Use it". Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free. 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.
Data Studio and Looker belong to "Business Intelligence" category of the tech stack.
DigitalOcean, 9GAG, and CircleCI are some of the popular companies that use Looker, whereas Data Studio is used by Kalibrr, Cookly, and Landing.jobs. Looker has a broader approval, being mentioned in 71 company stacks & 7 developers stacks; compared to Data Studio, which is listed in 20 company stacks and 5 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.
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