Google Fusion Tables vs Amazon QuickSight

Struggling to choose between Google Fusion Tables and Amazon QuickSight? 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, Amazon QuickSight is a Ai Tools & Services product tagged with data-visualization, adhoc-analysis, bi, cloud.

Its standout features include Fast, easy-to-use, cloud-powered business intelligence service, Rich set of visualizations and ability to drill down into data, Supports connecting to a wide variety of data sources, Built-in machine learning for anomaly detection and forecasting, Auto-SPICE natural language query, Embedded analytics capabilities, Collaboration features like sharing dashboards, and it shines with pros like Fast and easy to get started with BI, Scales to large data sets with good performance, Serverless - no infrastructure to manage, Broad data source connectivity, Embedded analytics and ML capabilities, Affordable pricing.

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


Amazon QuickSight

Amazon QuickSight

Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. It helps you build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Categories:
data-visualization adhoc-analysis bi cloud

Amazon QuickSight Features

  1. Fast, easy-to-use, cloud-powered business intelligence service
  2. Rich set of visualizations and ability to drill down into data
  3. Supports connecting to a wide variety of data sources
  4. Built-in machine learning for anomaly detection and forecasting
  5. Auto-SPICE natural language query
  6. Embedded analytics capabilities
  7. Collaboration features like sharing dashboards

Pricing

  • Pay-As-You-Go
  • Subscription-Based

Pros

Fast and easy to get started with BI

Scales to large data sets with good performance

Serverless - no infrastructure to manage

Broad data source connectivity

Embedded analytics and ML capabilities

Affordable pricing

Cons

Limited customization compared to open-source BI tools

Not as rich as feature set as some competitors

Limited data prep and ETL functionality

Lacks some complex analytics and ML capabilities