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  1. Stackups
  2. Business Tools
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  4. Charting Libraries
  5. Data Studio vs Google Charts

Data Studio vs Google Charts

OverviewComparisonAlternatives

Overview

Google Charts
Google Charts
Stacks122
Followers214
Votes0
Data Studio
Data Studio
Stacks365
Followers304
Votes0

Data Studio vs Google Charts: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Data Studio and Google Charts.

  1. Data Connectivity: Data Studio offers a wide range of data connectors, which allows users to connect directly to various data sources like Google Analytics, Google Ads, and many others. On the other hand, Google Charts provides the flexibility to connect with any data source using JavaScript or JSON, making it more versatile in terms of data connectivity.

  2. Customization Capabilities: Data Studio provides a drag-and-drop interface with limited customization options. Although it allows users to apply filters, create custom dimensions, and add calculated fields, the level of customization is somewhat limited. In contrast, Google Charts provides extensive customization capabilities with complete control over the chart's appearance, styles, and formatting, allowing users to create highly customizable visualizations.

  3. Collaboration: Data Studio excels in collaborative aspects, allowing multiple users to simultaneously work on a single report, making real-time edits and comments. It also provides secure sharing options and the ability to embed reports in websites. On the other hand, Google Charts is primarily focused on individual use and lacks built-in collaboration features, making it better suited for standalone applications or personal use.

  4. Interactivity: Data Studio supports interactivity features such as filtering, date range control, and drill-down options. It allows users to manipulate the data and explore different dimensions and metrics interactively. In comparison, Google Charts provides a high level of interactivity through user interaction, where users can hover over data points or click on elements to trigger actions like displaying tooltips or navigating to other pages.

  5. Real-time Data Updates: Data Studio offers real-time data updates for certain data sources, which means the reports can automatically refresh to reflect the latest data. On the other hand, Google Charts relies on manually triggering data updates by refreshing or reloading the page. So, the visualizations may not always display the most up-to-date information without the user manually initiating a data refresh.

  6. Pricing: Data Studio is a free tool offered by Google, allowing users to create and share reports at no cost. In contrast, Google Charts is free to use for personal and non-commercial purposes, but it requires a Google Cloud Platform (GCP) account and may incur charges for specific usage beyond certain limits.

In Summary, Data Studio offers extensive data connectivity, collaboration capabilities, and real-time data updates, while Google Charts provides more customization options, interactivity, and is more suitable for individual use.

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Detailed Comparison

Google Charts
Google Charts
Data Studio
Data Studio

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.

Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.

charts; visualization; pie-chart; bar-chart; svg; animation;
Easily access a wide variety of data. Data Studio’s built-in and partner connectors makes it possible to connect to virtually any kind of data; Turn your data into compelling stories of data visualization art. Quickly build interactive reports and dashboards with Data Studio’s web based reporting tools; Share your reports and dashboards with individuals, teams, or the world. Collaborate in real time. Embed your report on any web page
Statistics
Stacks
122
Stacks
365
Followers
214
Followers
304
Votes
0
Votes
0
Integrations
No integrations available
Google Analytics
Google Analytics
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google Search Console
Google Search Console
Google Ads
Google Ads
AdRoll
AdRoll
Google Sheets
Google Sheets
Google Campaign Manager
Google Campaign Manager

What are some alternatives to Google Charts, Data Studio?

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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