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  1. Stackups
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  4. Charting Libraries
  5. Highcharts vs Tableau

Highcharts vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

Highcharts
Highcharts
Stacks1.5K
Followers1.1K
Votes92
Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8

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.

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Advice on Highcharts, 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
Shaik
Shaik

Feb 18, 2020

Needs advice

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

247k views247k
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

Highcharts
Highcharts
Tableau
Tableau

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.

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.

It works in all modern mobile and desktop browsers including the iPhone/iPad and Internet Explorer from version 6;Free for non-commercial;One of the key features of Highcharts is that under any of the licenses, free or not, you are allowed to download the source code and make your own edits;Pure Javascript - Highcharts is solely based on native browser technologies and doesn't require client side plugins like Flash or Java.
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
1.5K
Stacks
1.3K
Followers
1.1K
Followers
1.4K
Votes
92
Votes
8
Pros & Cons
Pros
  • 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
Cons
  • 9
    Expensive
Pros
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive
Cons
  • 3
    Very expensive for small companies

What are some alternatives to Highcharts, 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.

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.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

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