Apache Superset

Open Source

A modern, enterprise-ready business intelligence web application.

BI & Analytics

BI Tools

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Scores

Popularity

2/5

Learning Curve

4/5

Flexibility

5/5

Performance

4/5

Portability

4/5

About

Apache Superset is a top-level Apache Software Foundation project and one of the most popular open-source business intelligence platforms. Originally developed at Airbnb, Superset provides a complete BI stack: a drag-and-drop chart builder for non-technical users, a powerful web-based SQL editor (SQL Lab) for analysts, and a rich dashboard composition layer. Superset connects to 50+ SQL databases and data engines including Snowflake, BigQuery, Databricks, Redshift, Trino, Presto, ClickHouse, and PostgreSQL. Charts are built from a semantic data layer (Datasets) that defines metrics and dimensions, ensuring consistent reporting. Superset supports row-level security, SSO, and fine-grained RBAC for multi-tenant enterprise deployments. With 70.9k GitHub stars, it is one of the most starred BI repositories on GitHub. Preset offers a managed cloud service built on Superset for teams that don't want to self-host.

Key Features

No-code chart builder with 40+ visualization types
SQL Lab — full-featured web-based SQL editor with autocomplete
Dataset layer for defining reusable metrics and dimensions
50+ database connectors via SQLAlchemy (Snowflake, BigQuery, Trino, etc.)
Row-level security and column masking for multi-tenant access control
Dashboard filters with cross-filtering and drill-down support
Lightweight semantic layer with calculated columns and metrics
Preset.io managed cloud service for self-host-free deployment

Pros

Completely free and open-source under Apache 2.0 — no licensing costs
70k+ GitHub stars — extremely active community and rich plugin ecosystem
SQL Lab is one of the best browser-based SQL editors in any BI tool
50+ native database connectors covering all major cloud warehouses
Actively developed with frequent releases and enterprise-grade features
Preset.io provides a managed hosting option for teams avoiding self-hosting

Cons

Complex initial setup and configuration — not beginner-friendly to self-host
Permission system can be confusing with large numbers of users and roles
No native scheduling / report delivery (requires Celery + Redis setup)
Performance can degrade on large dashboards with many complex queries
No official commercial vendor — enterprise support requires third-party (Preset)

Pricing

Open Source

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Works well with (4)

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Framework of (1)

Python

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Alternative to (6)

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Learning Resources

No resources yet — check back soon.

Scores

Popularity

2/5

Learning Curve

4/5

Flexibility

5/5

Performance

4/5

Portability

4/5

Pricing

Open Source

Links

Website Docs GitHub

Details

Maintained: Yes
Interface: Both
Self-hostable: Yes
Embedded analytics: Yes
Connectors: PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, Databricks
GitHub stars: 72.6k
Stars updated: 2026-04-26

Apache Superset

Scores

About

Key Features

Pros

Cons

Pricing

Related Tools

Works well with (4)

PostgreSQL

BigQuery

Snowflake

Amazon Redshift

Framework of (1)

Python

Alternative to (6)

Metabase

Power BI

Tableau

Looker

Amazon QuickSight

Google Sheets

Learning Resources

Scores

Pricing

Links

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Details