Google Datastudio vs Redash

Overview

Redash

Stacks338

Followers502

Votes12

Google Datastudio

Stacks200

Followers170

Votes16

Google Datastudio vs Redash: What are the differences?

Introduction:

Google Datastudio and Redash are both powerful data visualization tools that allow users to create interactive and insightful reports. However, there are key differences between the two platforms that may influence your decision on which tool to use for your data visualization needs.

Data Source Integration: While both Google Datastudio and Redash support a wide range of data sources, Google Datastudio has native integration with Google products such as Google Analytics, Google Sheets, and BigQuery. On the other hand, Redash provides more flexibility in integrating with various databases and data sources through its query editor and API.
Collaboration Features: Google Datastudio offers seamless collaboration features through Google Drive, allowing multiple users to work on a report simultaneously. In contrast, Redash lacks built-in collaboration features and relies on sharing queries and dashboards via URLs.
Customization Options: Google Datastudio provides a user-friendly drag-and-drop interface with easy-to-use customization options for designing reports and dashboards. Redash, on the other hand, offers more advanced customization options through its SQL editor, giving users greater control over the queries and visualizations.
Data Processing Capabilities: Google Datastudio excels in processing and visualizing large datasets quickly, making it ideal for real-time reporting and analysis. Redash, while capable of handling large datasets, may require more manual optimization for performance with extensive data.
Cost: Google Datastudio is free to use and does not have any limitations on the number of reports or data connections. In comparison, Redash offers both free and paid versions, with the free version having limitations on the number of dashboards and scheduled queries.
User Interface and Learning Curve: Google Datastudio features a more user-friendly interface with intuitive drag-and-drop functionalities, making it easier for beginners to create visually appealing reports. Redash, with its emphasis on SQL queries and customization, has a steeper learning curve but offers greater control and flexibility for users with SQL skills.

In Summary, Google Datastudio is more suitable for users looking for easy integration with Google products, real-time data processing, collaboration features, and a user-friendly interface, while Redash is ideal for users seeking more customization options, advanced SQL querying capabilities, and flexibility in integrating with various data sources.

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Detailed Comparison

Redash	Google Datastudio
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.	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.
Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases	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 338	Stacks 200
Followers 502	Followers 170
Votes 12	Votes 16
Pros & Cons
Pros 9 Open Source 3 SQL Friendly Cons 1 All results are loaded into RAM before displaying 1 Memory Leaks	Pros 6 Free 4 Underrated 2 Easy to share 1 Google Analytics Integration 1 Shareable & editable dashboards Cons 1 Works well with google (not aws or azure)
Integrations
PostgreSQL Cassandra MongoDB Amazon DynamoDB Amazon RDS Amazon Athena Jira PagerDuty Prometheus Slack	MySQL Microsoft SQL Server Microsoft Excel

What are some alternatives to Redash, 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.

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.

Looker

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

Related Comparisons

Google Datastudio vs Redash: What are the differences?

Introduction:

Data Source Integration: While both Google Datastudio and Redash support a wide range of data sources, Google Datastudio has native integration with Google products such as Google Analytics, Google Sheets, and BigQuery. On the other hand, Redash provides more flexibility in integrating with various databases and data sources through its query editor and API.
Collaboration Features: Google Datastudio offers seamless collaboration features through Google Drive, allowing multiple users to work on a report simultaneously. In contrast, Redash lacks built-in collaboration features and relies on sharing queries and dashboards via URLs.
Customization Options: Google Datastudio provides a user-friendly drag-and-drop interface with easy-to-use customization options for designing reports and dashboards. Redash, on the other hand, offers more advanced customization options through its SQL editor, giving users greater control over the queries and visualizations.
Data Processing Capabilities: Google Datastudio excels in processing and visualizing large datasets quickly, making it ideal for real-time reporting and analysis. Redash, while capable of handling large datasets, may require more manual optimization for performance with extensive data.
Cost: Google Datastudio is free to use and does not have any limitations on the number of reports or data connections. In comparison, Redash offers both free and paid versions, with the free version having limitations on the number of dashboards and scheduled queries.
User Interface and Learning Curve: Google Datastudio features a more user-friendly interface with intuitive drag-and-drop functionalities, making it easier for beginners to create visually appealing reports. Redash, with its emphasis on SQL queries and customization, has a steeper learning curve but offers greater control and flexibility for users with SQL skills.

Google Datastudio vs Redash

Overview