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Metabase

662
948
+ 1
245
Redash

285
389
+ 1
8
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Metabase vs Redash: What are the differences?

Developers describe Metabase as "An open-source business intelligence tool". Metabase 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. On the other hand, Redash is detailed as "Easily query an existing database, share the dataset and visualize it in different ways". 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.

Metabase and Redash can be primarily classified as "Business Intelligence" tools.

Metabase and Redash are both open source tools. It seems that Metabase with 15.6K GitHub stars and 2.09K forks on GitHub has more adoption than Redash with 13.1K GitHub stars and 2.17K GitHub forks.

According to the StackShare community, Metabase has a broader approval, being mentioned in 84 company stacks & 17 developers stacks; compared to Redash, which is listed in 38 company stacks and 17 developer stacks.

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Pros of Metabase
Pros of Redash
  • 54
    Database visualisation
  • 41
    Open Source
  • 39
    Easy setup
  • 33
    Dashboard out of the box
  • 18
    Free
  • 12
    Simple
  • 8
    Support for many dbs
  • 7
    Easy embedding
  • 6
    It's good
  • 6
    Easy
  • 5
    AGPL : wont help with adoption but depends on your goal
  • 5
    BI doesn't get easier than that
  • 4
    Multiple integrations
  • 4
    Google analytics integration
  • 3
    Easy set up
  • 5
    Open Source
  • 3
    SQL Friendly

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Cons of Metabase
Cons of Redash
  • 3
    Harder to setup than similar tools
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks

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What is 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.

What is 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.

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What companies use Metabase?
What companies use Redash?
See which teams inside your own company are using Metabase or Redash.
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What tools integrate with Metabase?
What tools integrate with Redash?

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What are some alternatives to Metabase and Redash?
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.
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.
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
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.
See all alternatives