Apache Superset

Apache Superset

Apache Superset is an open-source data visualization and dashboarding platform. It provides rich customizable dashboards, as well as an easy-to-use interface for exploring and visualizing data.
Apache Superset image
data-visualization dashboarding exploring-data

Apache Superset: Open-Source Data Visualization & Dashboarding Platform

Richly customizable dashboards and an intuitive interface for exploring and visualizing data, Apache Superset is a powerful open-source alternative.

What is Apache Superset?

Apache Superset, formerly known as Caravel, is an open-source business intelligence (BI) web application. It was created by Maxime Beauchemin at Airbnb.

Superset allows you to explore and visualize data, create interactive dashboards, and share insights across your organization. It integrates with common database technologies like MySQL, Postgres, SQL Server, and Elasticsearch.

Key features of Superset include:

  • Visualizations and charts - Out-of-the-box support for rich data visualizations including bar charts, line charts, pie charts, pivot tables, geospatial visualizations and more.
  • Ad hoc analysis - Quickly slice and dice data across any dimensions.
  • Customizable dashboards - Drag-and-drop interface to build custom dashboards that can include charts, filters, and text boxes.
  • Access control and security - Fine grained access controls to data via Apache Druid integration.
  • Caching - Fast response times with advanced caching capabilities.
  • Extensible and open - Easy customization and extensibility with Python and JavaScript.

With its intuitive interface, customization options and access controls, Apache Superset is well-suited for modern data teams that require self-service data visualization and dashboarding.

Apache Superset Features

Features

  1. Interactive data visualization
  2. Ad-hoc query via SQL Lab
  3. Granular access controls
  4. Integration with major databases and data warehouses
  5. Extensible via plugins

Pricing

  • Open Source

Pros

Open source and free

Rich set of data visualizations

Fast and flexible for ad-hoc analysis

Good community support

Cons

Steep learning curve

Not as polished as some commercial options

Limited native support for real-time data


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