Metabase vs Redash vs Superset

Need advice about which tool to choose?Ask the StackShare community!

Metabase

899
1.2K
+ 1
271
Redash

346
501
+ 1
12
Superset

409
1K
+ 1
45

Metabase vs Redash vs Superset: What are the differences?

Comparison of Metabase, Redash, and Superset

Metabase, Redash, and Superset are popular open-source business intelligence tools that allow users to easily explore, visualize, and share their data. Despite having similar capabilities, there are several key differences between these three platforms.

  1. Data source connectivity: Metabase enables users to connect to various databases using a simple point-and-click interface, making it beginner-friendly. Redash, on the other hand, offers a wider range of data source connectivity options, including SQL databases, cloud storage, NoSQL databases, and more. Superset excels in this aspect, supporting a vast number of data sources, including SQL-based databases, data lakes, Druid, and many more.

  2. Visualization options: Metabase offers a straightforward set of visualization options, providing basic charts like bar graphs, line graphs, and pie charts. Redash provides a similar range of visualizations, with the addition of heatmaps, pivot tables, and more advanced charting capabilities. Superset stands out with its extensive collection of visualizations, including geospatial charts, bubble charts, treemaps, and sankey diagrams, allowing users to create more complex and sophisticated visualizations.

  3. Data exploration capabilities: Metabase offers a user-friendly data exploration experience, allowing non-technical users to easily navigate and analyze data. Redash provides a more advanced data exploration environment, incorporating features like ad-hoc queries, parameterized queries, and interactive dashboards. Superset excels in this area, offering advanced exploration features such as filtering, drilling down, data slicing, and dicing, empowering users to dive deeper into their data.

  4. Collaboration and sharing: Metabase allows simple sharing of dashboards and reports by generating shareable links. Redash takes collaboration a step further by providing team collaboration features, allowing users to work together and share queries, dashboards, and visualizations within a team or organization. Superset offers extensive collaboration features, including dashboards versioning, annotation layers, and granular access controls, enabling seamless collaboration and information sharing within large organizations.

  5. Extensibility and customization: Metabase allows limited customization options, primarily focusing on configuring dashboards and email schedules. Redash provides more flexibility, allowing users to customize visualizations with custom SQL queries, create custom alerts, and integrate with external services through webhooks and API. Superset excels in extensibility, offering a rich set of customizable options through its plugin architecture, allowing users to extend and modify the platform to suit their specific needs.

  6. Community support and development: Metabase has a large and active community with regular updates and bug fixes. Redash has a smaller community but offers regular updates and features driven by the community. Superset has a strong community support and development, backed by companies like Airbnb, Lyft, and Twitter, ensuring regular updates, bug fixes, and new feature additions.

In summary, Metabase is a beginner-friendly tool with easy data connectivity; Redash offers more advanced features for data exploration and collaboration; and Superset stands out with its extensive visualization options, sophisticated exploration capabilities, and strong community support. Ultimately, the choice among these three platforms depends on the specific needs and requirements of your organization.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Metabase
Pros of Redash
Pros of Superset
  • 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
  • 9
    Open Source
  • 3
    SQL Friendly
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Wide SQL database support
  • 6
    Shareable & editable dashboards
  • 5
    Great for data collaborating on data exploration
  • 3
    User & Role Management
  • 3
    Easy to share charts & dasboards

Sign up to add or upvote prosMake informed product decisions

Cons of Metabase
Cons of Redash
Cons of Superset
  • 7
    Harder to setup than similar tools
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI

Sign up to add or upvote consMake informed product decisions

- 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 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.

What is 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.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Metabase, Redash, and Superset as a desired skillset
What companies use Metabase?
What companies use Redash?
What companies use Superset?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Metabase?
What tools integrate with Redash?
What tools integrate with Superset?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to Metabase, Redash, and Superset?
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.
Periscope
Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.
See all alternatives