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Google Charts vs Tableau: What are the differences?

Introduction: Google Charts and Tableau are both powerful tools used for data visualization. While they have similarities in terms of their ability to create visually appealing and interactive charts and graphs, there are key differences that set them apart.

  1. Data Sources and Integration: When it comes to integrating data sources, Tableau offers more flexibility and options compared to Google Charts. Tableau allows you to connect to a wide range of data sources including databases, spreadsheets, and cloud services, while Google Charts can only work with data from Google Sheets, CSV files, or existing HTML tables. This difference in data source options gives Tableau an advantage when dealing with complex and diverse datasets.

  2. Customization and Flexibility: Tableau provides a high level of customization and flexibility in creating visualizations. It offers a drag-and-drop interface that allows users to easily modify and tweak their charts and graphs. With Tableau, you can create custom calculations, build complex dashboards, and add interactive filters. On the other hand, Google Charts has a more limited set of customization options, making it simpler to use but less flexible for advanced visualization needs.

  3. Collaboration and Sharing: Tableau excels in collaboration and sharing capabilities. It allows users to publish interactive dashboards to Tableau Server or Tableau Public, making it easy to share visualizations with others and collaborate in real-time. Tableau also offers user-based permissions, allowing control over who can view or modify the visualizations. Google Charts, on the other hand, lacks similar collaboration and sharing features, making it more suitable for individual or small-scale use.

  4. Pricing: Pricing is an important factor to consider when choosing between Tableau and Google Charts. Tableau is a commercial software with different pricing tiers depending on the features and functionality you require. It offers both desktop and server licensing options, and the cost can be significant for large-scale deployments. On the other hand, Google Charts is free to use, making it a more cost-effective choice for individuals or small businesses with budget constraints.

  5. Learning Curve: Tableau has a steeper learning curve compared to Google Charts. With advanced features and a complex user interface, Tableau requires more time and effort to master. Google Charts, on the other hand, has a simpler and more intuitive interface, making it easier for beginners to get started and create basic visualizations quickly.

  6. Platform Compatibility: Google Charts is tightly integrated with the Google ecosystem, which means it works seamlessly with other Google tools such as Google Sheets and Google Analytics. This integration makes it convenient for users already using Google services. Tableau, on the other hand, is platform independent and can integrate with various data sources and platforms, regardless of the vendor.

In summary, the key differences between Google Charts and Tableau lie in their data source integration, customization and flexibility, collaboration and sharing capabilities, pricing, learning curve, and platform compatibility. Depending on the specific needs and requirements of your project, one tool may be more suitable than the other.

Decisions about Google Charts and Tableau

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.

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Vojtech Kopal
Head of Data at Mews Systems · | 3 upvotes · 323.5K views

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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Pros of Google Charts
Pros of Tableau
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      Capable of visualising billions of rows
    • 1
      Intuitive and easy to learn
    • 1
      Responsive

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    Cons of Google Charts
    Cons of Tableau
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      • 3
        Very expensive for small companies

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      What is Google Charts?

      It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart.

      What is Tableau?

      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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      What companies use Google Charts?
      What companies use Tableau?
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      What tools integrate with Google Charts?
      What tools integrate with Tableau?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Google Charts and Tableau?
      Highcharts
      Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
      D3.js
      It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
      Alexa
      It is a cloud-based voice service and the brain behind tens of millions of devices including the Echo family of devices, FireTV, Fire Tablet, and third-party devices. You can build voice experiences, or skills, that make everyday tasks faster, easier, and more delightful for customers.
      Plotly.js
      It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
      Data Studio
      Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.
      See all alternatives