Google Fusion Tables vs Looker Studio

Struggling to choose between Google Fusion Tables and Looker Studio? Both products offer unique advantages, making it a tough decision.

Google Fusion Tables is a Online Services solution with tags like data-management, data-visualization, cloud-service.

It boasts features such as Upload, host and manage tabular datasets, Visualize and explore data through charts, maps, timelines, Share and collaborate on datasets, Import/export data from various formats (CSV, KML, Spreadsheets), Join tables and filter/sort data, Geocode addresses and locations, Develop web apps and sites with Fusion Tables API and pros including Free to use, Integrates well with other Google services, Scales to large datasets, Simple and intuitive UI, Real-time collaboration features, Variety of visualization options.

On the other hand, Looker Studio is a Business & Commerce product tagged with data-analytics, dashboards, reports, data-visualization.

Its standout features include Drag-and-drop interface to build dashboards, reports and apps, Prebuilt customizable visualizations (charts, tables, maps, etc.), Interactive data exploration with filtering, drilling, pivoting, Scheduled email reports and alerts, Embedding analytics into web and mobile apps, REST API and SDKs for integration, Granular access control and permissions, Git-based workflow for development and deployment, and it shines with pros like Intuitive and easy to use, no coding required, Powerful analytics and visualizations, Scales to large data volumes, Flexible embedding and integration options, Collaboration features for data sharing.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Google Fusion Tables

Google Fusion Tables

Google Fusion Tables is a cloud-based service for data management and integration. It allows users to upload, host, manage, share, visualize, and collaborate on tabular datasets. Key features include data importing, exporting, filtering, sorting, aggregation, and joining.

Categories:
data-management data-visualization cloud-service

Google Fusion Tables Features

  1. Upload, host and manage tabular datasets
  2. Visualize and explore data through charts, maps, timelines
  3. Share and collaborate on datasets
  4. Import/export data from various formats (CSV, KML, Spreadsheets)
  5. Join tables and filter/sort data
  6. Geocode addresses and locations
  7. Develop web apps and sites with Fusion Tables API

Pricing

  • Free
  • Discontinued

Pros

Free to use

Integrates well with other Google services

Scales to large datasets

Simple and intuitive UI

Real-time collaboration features

Variety of visualization options

Cons

Limited to 100MB per table (paid plans allow more)

No complex SQL queries

Lacks some advanced database features

Discontinued by Google, no major updates

Data ownership concerns since hosted by Google


Looker Studio

Looker Studio

Looker Studio is a business intelligence and data analytics platform that enables users to explore, visualize and share data through an intuitive web interface. It features drag-and-drop tools to build dashboards, reports and data applications quickly without coding.

Categories:
data-analytics dashboards reports data-visualization

Looker Studio Features

  1. Drag-and-drop interface to build dashboards, reports and apps
  2. Prebuilt customizable visualizations (charts, tables, maps, etc.)
  3. Interactive data exploration with filtering, drilling, pivoting
  4. Scheduled email reports and alerts
  5. Embedding analytics into web and mobile apps
  6. REST API and SDKs for integration
  7. Granular access control and permissions
  8. Git-based workflow for development and deployment

Pricing

  • Subscription-Based

Pros

Intuitive and easy to use, no coding required

Powerful analytics and visualizations

Scales to large data volumes

Flexible embedding and integration options

Collaboration features for data sharing

Cons

Can be expensive for larger deployments

Steep learning curve for advanced features

Limited customization compared to open-source BI tools