Apache Superset: Self-Hosted Data Visualization Platform
Apache Superset is an open-source data exploration and visualization platform with 70,000+ GitHub stars. Build interactive dashboards and run SQL queries on your own VPS.
Apache Superset: Self-Hosted Data Visualization Platform
Apache Superset is a modern, enterprise-grade data exploration and visualization platform. With over 70,000 GitHub stars, it has become one of the most popular open-source alternatives to Tableau and Looker. Originally developed at Airbnb and now an Apache Software Foundation top-level project, Superset connects to virtually any SQL-speaking database and lets you build rich, interactive dashboards without writing code.
Self-hosting Apache Superset gives your team a powerful analytics platform with full control over your data, queries, and access policies.
Key Features
- Intuitive drag-and-drop dashboard builder with 40+ visualization types
- SQL Lab — a full-featured SQL IDE for ad-hoc querying and data exploration
- Connects to 30+ database engines including PostgreSQL, MySQL, ClickHouse, BigQuery, and Snowflake
- Role-based access control with row-level security for multi-tenant deployments
- Caching layer with Redis support for fast dashboard loading on large datasets
- Dashboard embedding for integrating visualizations into external applications
- Alerting and scheduled reports via email or Slack
- Semantic layer for defining metrics and calculated columns centrally
Why Self-Host Apache Superset?
Full data sovereignty. Your analytics queries reveal business metrics, user behavior, and operational details. Self-hosting Superset means your data never leaves your infrastructure. Queries run directly against your databases with no intermediary cloud service.
No per-seat licensing. Commercial BI tools like Tableau and Looker charge per user, which adds up quickly across an organization. Self-hosted Superset serves unlimited users from a single VPS with no license fees.
Connect to any data source. Self-hosting lets you connect Superset to internal databases, data warehouses, and APIs that may not be accessible from cloud-hosted analytics tools. Keep everything behind your firewall.
Customize and extend. Modify Superset's Python backend, add custom visualization plugins, or integrate it with your authentication system. Self-hosting gives you the flexibility that hosted BI platforms lack.
System Requirements
| Resource | Minimum | Recommended |
|---|---|---|
| CPU | 2 vCPUs | 4 vCPUs |
| RAM | 4 GB | 8 GB |
| Storage | 20 GB SSD | 50 GB SSD |
| OS | Ubuntu 22.04+ | Ubuntu 24.04 |
Superset runs a Python web application with Celery workers for async queries and a metadata database (PostgreSQL recommended). Resource usage scales with the number of concurrent users and query complexity. Redis is required for caching and async task management.
Getting Started
Deploy Apache Superset on your VPS using Docker Compose through Dokploy. Our deployment guide walks you through the full setup including PostgreSQL metadata store, Redis caching, worker configuration, and SSL.
Deploy Apache Superset with Dokploy →
Alternatives
- Grafana — Observability-focused dashboards with strong time-series visualization
- Metabase — User-friendly BI tool with a focus on simplicity for non-technical users
- Redash — Query-first analytics with lightweight dashboard capabilities
- ClickHouse — Column-oriented analytics database that pairs well with any BI frontend
FAQ
What databases does Apache Superset support? Superset supports 30+ database engines through SQLAlchemy. Popular options include PostgreSQL, MySQL, MariaDB, ClickHouse, Apache Druid, Trino, BigQuery, Snowflake, DuckDB, and SQLite. Community connectors extend this further.
Is Apache Superset suitable for non-technical users? Yes. While Superset includes a powerful SQL IDE for analysts, its drag-and-drop chart builder and dashboard interface are designed for business users who don't write SQL. You can create datasets with predefined metrics that non-technical users explore through a visual interface.
How does Superset handle large datasets? Superset pushes queries down to the connected database engine, so it handles datasets of any size that your database supports. For faster dashboard loading, enable the caching layer with Redis and configure query result caching.
Can I embed Superset dashboards in other applications? Yes. Superset supports dashboard embedding via iframes with authentication tokens. You can embed individual charts or full dashboards into internal portals, customer-facing applications, or documentation sites.
App data sourced from selfh.st open-source directory.
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// last updated: February 12, 2026. Disclosure: This article may contain affiliate links.