Google Data Studio vs Tableau PDF

Title Google Data Studio vs Tableau
Author Anonymous User
Course Game Development
Institution University of Kelaniya
Pages 2
File Size 59.5 KB
File Type PDF
Total Downloads 46
Total Views 147

Summary

Google Data Studio vs Tableau is one of the major compare...


Description

Tableau Online | SaaS Analytics For Everyone https://datastudio.google.com/overview

Tableau Pro > - Supports MongoDB, MySQL, Google Analytics, Google Bigquery, Google Cloud SQL [https://help.tableau.com/current/pro/desktop/en-gb/exampleconnections_overview.htm] - Supports variable refresh rates, Can be scheduled for any time - Displays all received info right away, making the heaviest dashboards load fast

Google Data Studio Con > -

Does not support MongoDB [https://datastudio.google.com/data] Only supports fixed refresh rates Loads data from free cloud storage, so takes longer to load on complex dashboards GDS is mostly suitable for medium-sized data analysis projects and unsuitable for large data projects. [https://analyticshelp.io/blog/google-data-studio-pricing-cost-limits] -> By medium-sized projects, I mean analysis which involves data sets with up to 2M rows. For comparison, Excel has a 1M row limit per workbook. So if you can analyze your data in Excel, it will also be possible to visualize it in Data Studio.

Pricing Tableau: https://www.tableau.com/pricing/teams-orgs Google Data Studio: Free, additional costs involved when using third-party data connectors.

Conclusion Both Tableau and Google Data Studio can support most standard business intelligence use cases, but differ when it comes to the kind of supported data sources, the extent of transformations, and the learning curve involved. To conclude, Google Data Studio is a much more slick and user-friendly tool that looks and feels aesthetically modern in every way. It is also free and hence for many small and medium scale companies, Google Data Studio is a boon. But if you are a large enterprise with no human resource or budget constraints and you need to work with complex data, then Tableau should work well for you.

In the case of both the tools, database connector support is still not comprehensive enough and lacks native support for many cloud-based services.

Comparison with Other Tools https://medium.com/data-school/comparison-between-different-bi-tools-17bdd0007ca5 https://www.csgpro.com/blog/business-intelligence-tools-comparison-chart/ https://www.holistics.io/blog/tableau-limitations-and-top-5-alternatives/...


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