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  5. Metabase vs Redash

Metabase vs Redash

OverviewComparisonAlternatives

Overview

Redash
Redash
Stacks338
Followers502
Votes12
Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K

Metabase vs Redash: What are the differences?

Introduction

Metabase and Redash are popular business intelligence tools that allow users to create visualizations and dashboards using their data. While both tools serve a similar purpose, there are some key differences between Metabase and Redash that set them apart.

  1. Data Source Connectivity: Metabase provides a wide range of data source connectivity options, including databases, APIs, and third-party services. It has built-in support for popular database systems like MySQL, PostgreSQL, and MongoDB. In contrast, Redash has a more limited set of native connectors and relies more heavily on SQL queries to extract data from various sources.

  2. Query Building: Metabase offers a user-friendly query builder with a visual interface, allowing users to create complex queries with ease. It provides a drag-and-drop interface and a graphical representation of the data model, making it intuitive for non-technical users. Redash, on the other hand, primarily relies on writing SQL queries manually. While it supports advanced query editing features, it may require more technical knowledge.

  3. Visualization Options: Metabase provides a rich set of visualization options, including charts, tables, and maps. It offers an extensive library of customizable charts and allows users to easily switch between different visualizations. Redash also supports a variety of visualizations, including line charts, bar charts, and scatter plots, but it may not have the same level of customization and flexibility as Metabase.

  4. Embedding and Sharing: Metabase allows users to embed visualizations and dashboards into other applications or websites seamlessly. It provides an easy-to-use embedding feature, allowing users to share interactive reports with external stakeholders. Redash also supports embedding, but it may require more manual setup and customization.

  5. User Permissions and Access Control: Metabase offers granular user permissions and access control settings, allowing administrators to control who can view and edit specific data and dashboards. It provides role-based access control and allows for fine-grained permission assignment. Redash, while also providing user permissions, may have more limited options and may not offer the same level of flexibility as Metabase.

  6. Community and Support: Metabase has a strong and active community of developers and users, with regular updates and active discussions on forums and GitHub. It has a more extensive documentation and resources available. Redash also has a community and support resources, but it may not have the same level of activity and resources as Metabase.

In Summary, Metabase and Redash differ in terms of data source connectivity, query building, visualization options, embedding and sharing capabilities, user permissions and access control, and the size and activity of their respective communities and support resources.

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Detailed Comparison

Redash
Redash
Metabase
Metabase

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 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.

Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
-
Statistics
GitHub Stars
-
GitHub Stars
44.4K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
338
Stacks
928
Followers
502
Followers
1.2K
Votes
12
Votes
271
Pros & Cons
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    Memory Leaks
  • 1
    All results are loaded into RAM before displaying
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
Integrations
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Redash, Metabase?

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.

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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