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Highcharts vs Tableau: What are the differences?

Highcharts vs Tableau

Highcharts and Tableau are both popular data visualization tools used to present complex data in a visually appealing manner. While they share a common goal, there are key differences that set them apart.

  1. Compatibility: Highcharts is a JavaScript-based charting library that can be easily integrated into web applications. It provides a wide range of interactive and customizable chart types for developers. On the other hand, Tableau is a comprehensive data visualization platform that offers a user-friendly interface for creating interactive dashboards, reports, and visualizations. Tableau is suitable for both technical and non-technical users.

  2. Data Connectivity: Highcharts relies on developers setting up the data source and feeding the data into the charts via APIs or data structures. In contrast, Tableau provides seamless connectivity to numerous data sources, including databases, spreadsheets, and web services. Tableau's data connectors simplify the process of connecting to and visualizing data from multiple sources.

  3. Interactive Features: Highcharts offers a set of interactive features, such as zooming, panning, tooltips, and drill-down capabilities. However, Tableau surpasses this by providing advanced interactivity options, including filter actions, parameter controls, and dynamic visualizations. Tableau empowers users to explore data at different levels of detail and interactively analyze it.

  4. Advanced Analytics: Tableau emphasizes its capabilities for data analysis and exploration. With Tableau, users can perform advanced calculations, create custom fields, apply advanced statistical functions, and perform predictive analysis using built-in algorithms. Highcharts does not have built-in advanced analytics capabilities.

  5. Collaboration and Sharing: Tableau offers collaboration features that allow users to share dashboards, insights, and visualizations with others, facilitating teamwork and decision-making. Highcharts, on the other hand, focuses primarily on client-side rendering and does not provide built-in collaboration tools.

  6. Pricing Model: Highcharts follows a commercial licensing model, where users need to purchase licenses based on the number of developers and desired features. Tableau offers a range of pricing options, including a free public edition, individual user licenses, and enterprise-level licenses, making it more accessible to a wider range of users.

In summary, Highcharts and Tableau differ in terms of compatibility, data connectivity, interactive features, advanced analytics capabilities, collaboration and sharing options, and pricing models. Understanding these differences will help in choosing the right tool based on specific needs and requirements.

Advice on Highcharts and Tableau
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I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

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Replies (1)
Darren Adams
Senior Developer at Burning Glass Technologies · | 2 upvotes · 136.3K views
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I've used Highcharts with both Angular Js Reactive applications (render as ReactJs) and also a bit of D3. Personally I found Highcharts to be the easiest to use but, with still quite a good level of customisability if you need it. graphs and charts then give D3 a try.

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Decisions about Highcharts 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 · 298.8K 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 Highcharts
Pros of Tableau
  • 34
    Low learning curve and powerful
  • 17
    Multiple chart types such as pie, bar, line and others
  • 13
    Responsive charts
  • 9
    Handles everything you throw at it
  • 8
    Extremely easy-to-parse documentation
  • 5
    Built-in export chart as-is to image file
  • 5
    Easy to customize color scheme and palettes
  • 1
    Export on server side, can be used in email
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive

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Cons of Highcharts
Cons of Tableau
  • 9
    Expensive
  • 2
    Very expensive for small companies

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What is 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.

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 Highcharts?
What companies use Tableau?
See which teams inside your own company are using Highcharts or Tableau.
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What tools integrate with Highcharts?
What tools integrate with Tableau?

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What are some alternatives to Highcharts and Tableau?
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.
amCharts
amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.
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.
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.
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.
See all alternatives