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Google Fusion Tables vs Matplotlib

Professional comparison and analysis to help you choose the right software solution for your needs.

Google Fusion Tables icon
Google Fusion Tables
Matplotlib icon
Matplotlib

Google Fusion Tables vs Matplotlib: The Verdict

⚡ Summary:

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.

Matplotlib: Matplotlib is a comprehensive 2D plotting library for Python that allows users to create a wide variety of publication-quality graphs, charts, and visualizations. It integrates well with NumPy and Pandas data structures.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Google Fusion Tables Matplotlib
Sugggest Score — —
Category Online Services Photos & Graphics

Product Overview

Google Fusion Tables
Google Fusion Tables

Description: 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.

Type: software

Matplotlib
Matplotlib

Description: Matplotlib is a comprehensive 2D plotting library for Python that allows users to create a wide variety of publication-quality graphs, charts, and visualizations. It integrates well with NumPy and Pandas data structures.

Type: software

Key Features Comparison

Google Fusion Tables
Google Fusion Tables Features
  • 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
Matplotlib
Matplotlib Features
  • 2D plotting
  • Publication quality output
  • Support for many plot types (line, bar, scatter, histogram etc)
  • Extensive customization options
  • IPython/Jupyter notebook integration
  • Animations and interactivity
  • LaTeX support for mathematical typesetting

Pros & Cons Analysis

Google Fusion Tables
Google Fusion Tables

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
Matplotlib
Matplotlib

Pros

  • Mature and feature-rich
  • Large user community and extensive documentation
  • Highly customizable
  • Integrates well with NumPy, Pandas and SciPy
  • Output can be saved to many file formats

Cons

  • Steep learning curve
  • Plotting code can be verbose
  • 3D plotting support is limited
  • Cannot do web visualization (unlike Bokeh or Plotly)

Related Comparisons

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Google Fusion Tables
Google Fusion Tables
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Matplotlib
Matplotlib
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