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  1. Stackups
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  4. Charting Libraries
  5. Google Charts vs Tableau

Google Charts vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

Google Charts
Google Charts
Stacks122
Followers214
Votes0
Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8

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.

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Advice on Google Charts, Tableau

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

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.

353k views353k
Comments
Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

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.

230k views230k
Comments

Detailed Comparison

Google Charts
Google Charts
Tableau
Tableau

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.

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.

charts; visualization; pie-chart; bar-chart; svg; animation;
Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.
Statistics
Stacks
122
Stacks
1.3K
Followers
214
Followers
1.4K
Votes
0
Votes
8
Pros & Cons
No community feedback yet
Pros
  • 6
    Capable of visualising billions of rows
  • 1
    Responsive
  • 1
    Intuitive and easy to learn
Cons
  • 3
    Very expensive for small companies

What are some alternatives to Google Charts, Tableau?

D3.js

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.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Highcharts

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.

Plotly.js

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.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

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