Apache Superset

What is Apache Superset?

Charts, SQL Lab and interactive dashboards on top of the SQL databases you already run.

Who is Apache Superset best for?

Apache Superset is best for data teams that want self-hosted dashboards and SQL exploration over their own warehouse.

• Analysts who write SQL

  SQL Lab lets analysts write queries, browse table metadata and use Jinja templates before charting the results.

• Business users who do not

  A drag-and-drop chart builder with 40+ chart types works from shared datasets with common metric definitions.

• Teams with a data warehouse

  Superset queries your existing SQL databases directly, so there is no extra ingestion layer to run.

• Branded internal dashboards

  Cross-filters, drill-down and CSS templates give dashboards interactive filtering and your own look.

How much does Apache Superset cost?

Apache Superset is free and open source under Apache 2.0; you pay only for the servers and database you run it on, since the Apache project sells no hosted plan.

The Apache Software Foundation does not sell a hosted Superset. What you spend depends on the servers, metadata database, cache and workers you run. Full pricing on github.com. We checked these prices on 8 Nov 2026.

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Is Apache Superset open source?

Yes. Apache Superset's code is public under the Apache 2.0 licence, so you can run it on your own server.

Host it on a serverHostinger, Railway and Elestio set it up on a server for you with a one-click install.

Hosting with

What are the best Apache Superset alternatives?

Apache Superset is an open source alternative to Basedash, Qlik and Tableau. Metabase, Kanaries and Redash do the same job and are open source too.

BasedashFreemium

Charts and dashboards from natural language over all your data.

QlikFreemium

Data integration and analytics made AI-ready.

TableauFreemium

Data visualisation and analytics from Salesforce.

MetabaseOpen Source

Open-source dashboards with natural language queries.

KanariesOpen Source

Data into interactive visuals across Python and R.

RedashOpen Source

Browser-based SQL editor that turns queries on 35+ data sources into shared charts and alerts.

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