Metabase vs PopSQL vs Tableau

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Metabase

874
1.2K
+ 1
271
PopSQL

31
156
+ 1
1
Tableau

1.2K
1.3K
+ 1
8
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Pros of Metabase
Pros of PopSQL
Pros of Tableau
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
  • 14
    Simple
  • 9
    Support for many dbs
  • 7
    Easy embedding
  • 6
    Easy
  • 6
    It's good
  • 5
    AGPL : wont help with adoption but depends on your goal
  • 5
    BI doesn't get easier than that
  • 4
    Google analytics integration
  • 4
    Multiple integrations
  • 4
    Easy set up
  • 1
    Has tutorial at CodeCamp
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive

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Cons of Metabase
Cons of PopSQL
Cons of Tableau
  • 7
    Harder to setup than similar tools
    Be the first to leave a con
    • 2
      Very expensive for small companies

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    - No public GitHub repository available -
    - No public GitHub repository available -

    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 PopSQL?

    It is a modern SQL editor for teams. It lets you write queries, organize them in folders, visualize your data, and collaborate with your team.

    What is Tableau?

    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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    Jobs that mention Metabase, PopSQL, and Tableau as a desired skillset
    What companies use Metabase?
    What companies use PopSQL?
    What companies use Tableau?

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    What tools integrate with Metabase?
    What tools integrate with PopSQL?
    What tools integrate with Tableau?

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    What are some alternatives to Metabase, PopSQL, and Tableau?
    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.
    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.
    See all alternatives