Amazon Quicksight vs Google Datastudio

Overview

Amazon Quicksight

Stacks207

Followers394

Votes5

Google Datastudio

Stacks200

Followers170

Votes16

Amazon Quicksight vs Google Datastudio: What are the differences?

Introduction: Amazon QuickSight and Google Data Studio are both powerful data visualization tools that allow users to create interactive dashboards and reports. However, there are several key differences between the two platforms that set them apart in terms of features and capabilities.

Data Sources and Integration: One of the key differences between Amazon QuickSight and Google Data Studio is their approach to data sources and integration. While QuickSight primarily focuses on integrating with AWS data sources such as Amazon S3, RDS, and Redshift, Data Studio offers a wide range of connectors to various data sources including Google Sheets, BigQuery, and more. This difference in data integration capabilities makes it easier for users to connect and visualize their data from different platforms.
Advanced Analytics and Calculations: Another significant difference between QuickSight and Data Studio is their support for advanced analytics and calculations. QuickSight provides a powerful set of analytical capabilities including calculated fields, filters, and advanced calculations. On the other hand, Data Studio offers limited support for advanced calculations and lacks some of the advanced features provided by QuickSight.
Collaboration and Sharing: When it comes to collaboration and sharing, QuickSight and Data Studio offer different approaches. QuickSight allows users to invite collaborators, share dashboards, and control access permissions. It also enables embedding dashboards in other applications. In contrast, Data Studio provides more collaborative features such as real-time collaboration, allowing multiple users to work on a dashboard simultaneously. Additionally, Data Studio makes it easier to share dashboards with others through simple sharing links.
Customization and Branding: QuickSight and Data Studio also differ in terms of customization and branding capabilities. QuickSight provides a range of customization options such as custom themes, styles, and branding, allowing users to create a consistent look and feel across their dashboards and reports. Data Studio, on the other hand, offers limited customization options and lacks the ability to apply custom themes or branding to dashboards.
Data Refresh and Real-time Updates: Data refresh and real-time data updates are important factors to consider when choosing a data visualization tool. QuickSight supports both manual and scheduled data refreshes, allowing users to keep their dashboards up-to-date with the latest data. It also supports real-time streaming data for immediate updates. Data Studio, on the other hand, provides limited support for data refresh and does not offer real-time data updates out of the box.
Cost and Pricing Model: Lastly, the cost and pricing models of QuickSight and Data Studio differ. QuickSight offers a pay-per-session pricing model, where users are charged based on the number of sessions and duration. Data Studio, on the other hand, is a free tool offered by Google with no additional costs. However, additional features and services may require payment, such as using BigQuery as a data source.

In Summary, Amazon QuickSight and Google Data Studio differ in terms of data sources and integration, advanced analytics capabilities, collaboration and sharing features, customization options, data refresh and real-time updates, as well as cost and pricing models.

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Detailed Comparison

Amazon Quicksight	Google Datastudio
Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.	It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights	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 207	Stacks 200
Followers 394	Followers 170
Votes 5	Votes 16
Pros & Cons
Pros 1 Super cheap 1 Better integration with aws 1 More features (table calculations, functions, insights) 1 Good integration with aws Glue ETL services 1 Dataset versionning Cons 1 Only works in AWS environments (not GCP, Azure) 1 Very basic BI tool	Pros 6 Free 4 Underrated 2 Easy to share 1 Same UI controls as Google Docs, Sheet, etc 1 Google Analytics Integration Cons 1 Works well with google (not aws or azure)
Integrations
Amazon RDS Amazon S3 Amazon Aurora Amazon Redshift	MySQL Microsoft SQL Server Microsoft Excel

What are some alternatives to Amazon Quicksight, Google Datastudio?

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.

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.

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.

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.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Related Comparisons

Amazon Quicksight vs Google Datastudio: What are the differences?

Data Sources and Integration: One of the key differences between Amazon QuickSight and Google Data Studio is their approach to data sources and integration. While QuickSight primarily focuses on integrating with AWS data sources such as Amazon S3, RDS, and Redshift, Data Studio offers a wide range of connectors to various data sources including Google Sheets, BigQuery, and more. This difference in data integration capabilities makes it easier for users to connect and visualize their data from different platforms.
Advanced Analytics and Calculations: Another significant difference between QuickSight and Data Studio is their support for advanced analytics and calculations. QuickSight provides a powerful set of analytical capabilities including calculated fields, filters, and advanced calculations. On the other hand, Data Studio offers limited support for advanced calculations and lacks some of the advanced features provided by QuickSight.
Collaboration and Sharing: When it comes to collaboration and sharing, QuickSight and Data Studio offer different approaches. QuickSight allows users to invite collaborators, share dashboards, and control access permissions. It also enables embedding dashboards in other applications. In contrast, Data Studio provides more collaborative features such as real-time collaboration, allowing multiple users to work on a dashboard simultaneously. Additionally, Data Studio makes it easier to share dashboards with others through simple sharing links.
Customization and Branding: QuickSight and Data Studio also differ in terms of customization and branding capabilities. QuickSight provides a range of customization options such as custom themes, styles, and branding, allowing users to create a consistent look and feel across their dashboards and reports. Data Studio, on the other hand, offers limited customization options and lacks the ability to apply custom themes or branding to dashboards.
Data Refresh and Real-time Updates: Data refresh and real-time data updates are important factors to consider when choosing a data visualization tool. QuickSight supports both manual and scheduled data refreshes, allowing users to keep their dashboards up-to-date with the latest data. It also supports real-time streaming data for immediate updates. Data Studio, on the other hand, provides limited support for data refresh and does not offer real-time data updates out of the box.
Cost and Pricing Model: Lastly, the cost and pricing models of QuickSight and Data Studio differ. QuickSight offers a pay-per-session pricing model, where users are charged based on the number of sessions and duration. Data Studio, on the other hand, is a free tool offered by Google with no additional costs. However, additional features and services may require payment, such as using BigQuery as a data source.

Amazon Quicksight vs Google Datastudio

Overview