Google Charts vs Power BI

Overview

Google Charts

Stacks122

Followers214

Votes0

Power BI

Stacks994

Followers946

Votes29

Google Charts vs Power BI: What are the differences?

Introduction

This Markdown code provides a comparison of Google Charts and Power BI, highlighting their key differences.

Pricing: Google Charts is a free library that can be used by anyone without any cost. On the other hand, Power BI is a commercial business analytics tool that requires a subscription to use its full features. While Power BI offers a free version with limited functionality, advanced features and enterprise-level capabilities are available at a cost.
Data Sources: Google Charts primarily relies on static data, allowing users to input data directly into the charts or use data from a Google Spreadsheet. Power BI, on the other hand, offers a wide range of data connectivity options. It can connect to various data sources including databases, files, cloud services, and online platforms, providing more versatility in data manipulation and real-time data integration.
Visualization Options: Google Charts provides a decent set of chart types and customization options. However, Power BI offers a much wider range of visualization options with more advanced and interactive visual elements. Power BI also provides pre-built visualizations and a marketplace where users can download additional custom visuals created by the community.
Collaboration and Sharing: Power BI excels in terms of collaboration and sharing capabilities. It allows multiple users to collaborate on dashboards, reports, and datasets in real-time. Users can share their analyses and reports with others, publish them online, or embed them in external websites. Google Charts, on the other hand, provides limited collaboration features and lacks the ability to easily share interactive reports with others.
Integration with Other Tools: Power BI integrates seamlessly with other Microsoft tools and services, such as Excel, SharePoint, and Office 365, creating a cohesive ecosystem for data analysis and reporting. Google Charts, although versatile, may require more manual efforts to integrate with other tools, making it less streamlined for users already utilizing the Google suite of products.
Advanced Analytics and Machine Learning: Power BI offers advanced analytics capabilities, including data modeling, DAX language, and integration with Azure Machine Learning. These features enable users to perform complex calculations, create custom metrics, and leverage machine learning algorithms on their data. While Google Charts provides basic data analysis functionality, it lacks the sophisticated advanced analytics options available in Power BI.

In summary, Google Charts is a free tool with limited customization options and collaboration features, primarily suitable for simple charting tasks. Power BI, while a commercial tool, offers advanced data connectivity, visualization options, collaboration capabilities, integration with other Microsoft tools, and advanced analytics functionalities.

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Advice on Google Charts, Power BI

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.

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Detailed Comparison

Google Charts	Power BI
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.	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.
charts; visualization; pie-chart; bar-chart; svg; animation;	Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
Stacks 122	Stacks 994
Followers 214	Followers 946
Votes 0	Votes 29
Pros & Cons
No community feedback yet	Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere
Integrations
No integrations available	Microsoft Excel

What are some alternatives to Google Charts, Power BI?

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

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 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

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'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

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

Recharts

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

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

ZingChart

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

Related Comparisons

Google Charts vs Power BI: What are the differences?

Introduction

This Markdown code provides a comparison of Google Charts and Power BI, highlighting their key differences.

Pricing: Google Charts is a free library that can be used by anyone without any cost. On the other hand, Power BI is a commercial business analytics tool that requires a subscription to use its full features. While Power BI offers a free version with limited functionality, advanced features and enterprise-level capabilities are available at a cost.
Data Sources: Google Charts primarily relies on static data, allowing users to input data directly into the charts or use data from a Google Spreadsheet. Power BI, on the other hand, offers a wide range of data connectivity options. It can connect to various data sources including databases, files, cloud services, and online platforms, providing more versatility in data manipulation and real-time data integration.
Visualization Options: Google Charts provides a decent set of chart types and customization options. However, Power BI offers a much wider range of visualization options with more advanced and interactive visual elements. Power BI also provides pre-built visualizations and a marketplace where users can download additional custom visuals created by the community.
Collaboration and Sharing: Power BI excels in terms of collaboration and sharing capabilities. It allows multiple users to collaborate on dashboards, reports, and datasets in real-time. Users can share their analyses and reports with others, publish them online, or embed them in external websites. Google Charts, on the other hand, provides limited collaboration features and lacks the ability to easily share interactive reports with others.
Integration with Other Tools: Power BI integrates seamlessly with other Microsoft tools and services, such as Excel, SharePoint, and Office 365, creating a cohesive ecosystem for data analysis and reporting. Google Charts, although versatile, may require more manual efforts to integrate with other tools, making it less streamlined for users already utilizing the Google suite of products.
Advanced Analytics and Machine Learning: Power BI offers advanced analytics capabilities, including data modeling, DAX language, and integration with Azure Machine Learning. These features enable users to perform complex calculations, create custom metrics, and leverage machine learning algorithms on their data. While Google Charts provides basic data analysis functionality, it lacks the sophisticated advanced analytics options available in Power BI.

Google Charts vs Power BI

Overview

Google Charts vs Power BI: What are the differences?