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  5. Chart.js vs Tableau

Chart.js vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8
Chart.js
Chart.js
Stacks2.0K
Followers786
Votes44
GitHub Stars66.7K
Forks12.0K

Chart.js vs Tableau: What are the differences?

Key Differences between Chart.js and Tableau

Chart.js and Tableau are popular tools used for data visualization, each offering unique capabilities and features. Here are the key differences between these two tools:

  1. Scalability and Complexity: Tableau is known for its scalability, enabling users to handle large datasets and create complex visualizations without performance issues. On the other hand, Chart.js is more suitable for smaller datasets and simpler visualizations, making it a better choice for basic charting needs.

  2. Data Sources and Connections: Tableau offers extensive data source connectivity options, allowing users to connect to various databases, spreadsheets, and online sources. It also supports live connections for real-time data analysis. Chart.js, however, relies on manual data input or the use of JavaScript to fetch data, making it less flexible in terms of data sources.

  3. Ease of Use: Chart.js is relatively simple to use, with a lightweight and intuitive interface. It is easy for developers to integrate and customize into web applications. In contrast, Tableau is a comprehensive tool with a steeper learning curve, requiring some level of technical expertise to fully utilize its capabilities.

  4. Interactivity and Dashboarding: Tableau excels in interactive dashboards and enables users to create dynamic visualizations. It offers features like filters, drill-downs, and parameter controls, allowing users to explore and analyze data interactively. Chart.js, on the other hand, lacks built-in interactivity features, although it can be integrated with JavaScript libraries to achieve similar results.

  5. Accessibility and Collaboration: Tableau provides a collaborative environment for users to share visualizations, collaborate on projects, and publish dashboards to a wider audience. It also offers robust accessibility features such as screen reader support. Chart.js, being a client-side library, does not include these collaboration and accessibility options out-of-the-box.

  6. Cost and Pricing Model: Tableau is a commercial product with different pricing tiers based on the features and capabilities required. It offers both individual and enterprise-level licensing options. Chart.js, on the other hand, is an open-source library that is free to use and distribute, making it a cost-effective choice for small-scale projects.

In summary, Tableau provides a comprehensive and scalable solution for data visualization, with advanced features for interactivity and collaboration. Chart.js, on the other hand, is a lightweight and beginner-friendly option suitable for simpler visualizations and quick implementation. The choice between the two depends on the specific requirements and complexity of the project, as well as the level of expertise and budget available.

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Advice on Tableau, Chart.js

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
Sudhan
Sudhan

Dec 23, 2019

Needs advice

I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data, Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.

42.8k views42.8k
Comments

Detailed Comparison

Tableau
Tableau
Chart.js
Chart.js

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.

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

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.
animated;HTML5 based;Responsive;Modular;Bar;Doughnut;Radar;Line;Polar Area;Interactive
Statistics
GitHub Stars
-
GitHub Stars
66.7K
GitHub Forks
-
GitHub Forks
12.0K
Stacks
1.3K
Stacks
2.0K
Followers
1.4K
Followers
786
Votes
8
Votes
44
Pros & Cons
Pros
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive
Cons
  • 3
    Very expensive for small companies
Pros
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free
Cons
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free
Integrations
No integrations available
React
React
AngularJS
AngularJS

What are some alternatives to Tableau, Chart.js?

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.

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

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.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

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.

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.

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