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Metabase

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271
Tableau

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Metabase vs Tableau: What are the differences?

Introduction

This Markdown document compares the key differences between Metabase and Tableau, two popular data visualization tools. Metabase is an open-source business intelligence and analytics tool, while Tableau is a commercial data visualization software.

  1. User Interface: Metabase has a clean and simple user interface that is easy to navigate. It provides a user-friendly experience for non-technical users. On the other hand, Tableau has a more sophisticated user interface with a wide range of features and options for advanced data analysis and visualization.

  2. Cost: Metabase is a free and open-source tool, making it a cost-effective choice for small and medium-sized businesses or individuals with limited budgets. Tableau, on the other hand, is a commercial software that requires a license or subscription, making it more suitable for larger organizations with higher data analysis needs and budgets.

  3. Data Sources: Metabase supports a limited number of data sources, including databases like MySQL and PostgreSQL, while Tableau supports a wide range of data sources, including databases, cloud services, and spreadsheets. Tableau's extensive connectivity options make it more versatile in terms of accessing and analyzing data from different sources.

  4. Customization: Tableau offers more advanced customization options compared to Metabase. With Tableau, users have greater flexibility to design and customize visualizations, including the ability to create interactive dashboards and apply custom styles and themes. Metabase, while providing basic customization features, may have limitations in terms of design flexibility and advanced customization.

  5. Collaboration and sharing: Tableau provides robust collaboration and sharing features, allowing users to share dashboards and reports with others, collaborate in real-time, and enable data-driven discussions. Metabase, on the other hand, has limited collaboration capabilities and may not be as suitable for teams or organizations requiring extensive collaboration and sharing functionalities.

  6. Advanced Analysis: Tableau offers more advanced analytical features compared to Metabase. It provides users with the ability to perform complex calculations, create custom formulas, apply statistical models, and use advanced visualization techniques. Metabase, while offering basic analytical capabilities, may not have the same level of sophistication in terms of advanced data analysis.

In summary, Metabase is a free and open-source tool with a simple user interface, limited customization options, and basic analytical capabilities, making it suitable for small or budget-conscious users. Tableau, on the other hand, is a commercial software with a more sophisticated user interface, extensive data source connectivity options, advanced customization features, robust collaboration and sharing capabilities, and advanced analytical functionalities, making it well-suited for larger organizations with more complex data analysis needs and budgets.

Decisions about Metabase and Tableau

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

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Vojtech Kopal
Head of Data at Mews Systems · | 3 upvotes · 302.2K views

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Pros of Metabase
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
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive

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Cons of Metabase
Cons of Tableau
  • 7
    Harder to setup than similar tools
  • 2
    Very expensive for small companies

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- 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 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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What companies use Metabase?
What companies use Tableau?
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What tools integrate with Metabase?
What tools integrate with Tableau?

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What are some alternatives to Metabase 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