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  5. Data Studio vs Metabase

Data Studio vs Metabase

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks926
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Data Studio
Data Studio
Stacks365
Followers304
Votes0

Data Studio vs Metabase: What are the differences?

Introduction: Data Studio and Metabase are two popular tools used for data visualization and analytics. While both aim to provide insights from data, they have significant differences in terms of features, capabilities, and user experience.

  1. Data Connectivity: Data Studio offers a wide range of connectors to various data sources, including Google Sheets, BigQuery, and MySQL. It also allows users to create custom connectors. On the other hand, Metabase has fewer built-in connectors compared to Data Studio. However, Metabase provides a more flexible query builder that allows users to write SQL queries to fetch data from any compatible database.

  2. Interface and User Experience: Data Studio provides a drag-and-drop interface that allows users to easily create and customize reports and dashboards without the need for coding. It also has a rich library of visualizations and design options. In contrast, Metabase has a simpler interface with a focus on simplicity and ease of use. It provides a limited set of visualizations and customization options but emphasizes quick and easy access to data.

  3. Collaboration and Sharing: Data Studio allows users to collaborate and share reports and dashboards with others through a shareable link. Users can also set access permissions to control who can view and edit the content. Metabase, on the other hand, provides a collaborative environment where users can work together on queries and dashboards. It also allows for embedding dashboards in other applications.

  4. Advanced Analytics and Data Modeling: Data Studio offers limited advanced analytics capabilities, such as calculated fields, blending data sources, and basic statistical functions. Metabase, on the other hand, provides more advanced analytics features, including native support for complex SQL queries, custom dashboards with filters and parameters, and the ability to create segments and cohorts.

  5. Customization and Extensibility: Data Studio allows users to create custom visualizations using Google Charts API and embed them in reports and dashboards. It also supports the use of apps scripts for automation and customization. Metabase, on the other hand, provides a limited scope for customization, with a focus on simplicity and ease of use.

  6. Cost and Licensing: Data Studio is free to use for individuals and businesses, with no limitations on data size or number of users. Metabase also offers a free version, but it has limitations on the number of users and data size. It also provides a paid version with additional features and support.

In summary, Data Studio provides a wider range of data connectors, a more advanced interface for creating reports and dashboards, and better collaboration and sharing capabilities. Metabase, on the other hand, offers more flexibility for data modeling and advanced analytics, along with a simpler and more intuitive user experience.

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Detailed Comparison

Metabase
Metabase
Data Studio
Data Studio

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.

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

-
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
365
Followers
1.2K
Followers
304
Votes
271
Votes
0
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
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
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 Metabase, Data Studio?

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.

Google Datastudio

Google Datastudio

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.

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.

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