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  5. Google Datastudio vs Metabase

Google Datastudio vs Metabase

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks926
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Google Datastudio
Google Datastudio
Stacks200
Followers170
Votes16

Google Datastudio vs Metabase: What are the differences?

Introduction

Google Datastudio and Metabase are popular tools used for data visualization and reporting. While they serve a similar purpose, there are several key differences between the two.

  1. Integration with Data Sources: Google Datastudio has native integration with various Google platforms such as Google Analytics, Google Ads, BigQuery, and more. It allows seamless access to these data sources for creating interactive reports. On the other hand, Metabase supports a wide range of databases, enabling users to connect to different types of data sources including SQL databases, MongoDB, and more.

  2. Ease of Use: Google Datastudio offers a user-friendly drag-and-drop interface, making it easy for users to create dashboards and reports without the need for coding knowledge. Metabase, although relatively straightforward, requires some technical expertise and knowledge of SQL to create visualizations and queries.

  3. Customization and Visualization Options: Google Datastudio provides a range of pre-built templates and visuals, allowing users to customize and personalize their reports. It offers a wide variety of charts, tables, and widgets to present data effectively. Metabase, on the other hand, offers limited customization options for visuals, and the range of chart types available is more restricted compared to Datastudio.

  4. Collaboration and Sharing: Google Datastudio allows easy collaboration and sharing of reports and dashboards with team members by granting them access and permissions. It also offers live collaborative editing, enabling multiple users to work on the same report simultaneously. Metabase, while it does have some collaboration features, is more focused on individual use and lacks advanced teamwork capabilities.

  5. Pricing: Google Datastudio is free to use for individuals and businesses, with no limitations on the number of reports or users. Metabase is also open-source and free to use, but certain advanced features require a paid subscription, making it more suitable for enterprise use.

In summary, Google Datastudio offers seamless integration with Google platforms, a user-friendly interface, extensive customization options, and easy collaboration, while Metabase supports a wide range of databases, requires some technical expertise, and offers limited customization options. Both tools are free to use, with Metabase requiring a subscription for certain advanced features.

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Detailed Comparison

Metabase
Metabase
Google Datastudio
Google Datastudio

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.

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.

-
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
GitHub Stars
44.4K
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
Stacks
926
Stacks
200
Followers
1.2K
Followers
170
Votes
271
Votes
16
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
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
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Microsoft Excel
Microsoft Excel

What are some alternatives to Metabase, Google Datastudio?

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.

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.

Power BI

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

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

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

Shiny

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

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

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

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

Looker

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.

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