Apache Superset
Open SourceA modern, enterprise-ready business intelligence web application.
Published 29 May 2026 · Last updated 27 September 2026
Scores
Popularity2/5
Open-source alternative to Tableau and Looker; growing community but still relatively niche.
Learning Curve4/5
Self-hosted setup is involved; SQL Lab is approachable but the semantic layer requires expertise.
Flexibility5/5
Custom charts, SQL Lab, semantic layer, and plugin architecture make it highly extensible.
Performance4/5
Async query execution with a caching layer significantly improves dashboard load times.
Portability4/5
Open source with standard SQL; highly portable across warehouses and teams.
About Apache Superset
Apache Superset is an open-source business intelligence platform and a top-level Apache Software Foundation project. It was created at Airbnb and is released under the Apache 2.0 licence, so teams can self-host it with no licence fees.
Superset covers the full BI workflow in the browser. A no-code chart builder offers dozens of visualisation types for non-technical users, SQL Lab gives analysts a web SQL editor with autocomplete and query history, and dashboards combine charts with cross-filtering and drill-down. Charts are built on datasets, a light semantic layer where metrics and calculated columns are defined once and reused.
It connects through SQLAlchemy to most SQL databases and engines, including Snowflake, BigQuery, Databricks, Redshift, Trino, ClickHouse, and PostgreSQL, and queries them live rather than storing data itself. Row-level security, role-based access control, and SSO support multi-team and multi-tenant deployments.
Superset is typically run with Docker Compose or the official Helm chart. Alerts and scheduled reports need a Celery worker, a message broker such as Redis, and a headless browser for screenshots. Teams that don't want to operate it can use Preset, a managed cloud service from Superset's original creator.
Key Features
- No-code chart builder with dozens of visualisation types
- SQL Lab: web-based SQL editor with autocomplete and query history
- Dataset layer for reusable metrics and calculated columns
- Connectors for most SQL databases via SQLAlchemy
- Row-level security and role-based access control
- Dashboard cross-filtering, native filters, and drill-down
- Alerts and scheduled reports by email and Slack
- Docker Compose and Helm chart deployments
Pros
- Free and open source under Apache 2.0, with no licence costs
- Large, active community and frequent releases
- SQL Lab is one of the strongest browser SQL editors in any BI tool
- Works with nearly every cloud warehouse and SQL engine
- Preset offers managed hosting for teams that don't want to self-host
Cons
- Self-hosting takes real setup and upkeep; not beginner-friendly
- Permission model gets confusing with many users and roles
- Alerts and reports need Celery, a broker, and a headless browser
- Large dashboards with many complex queries can be slow
- No vendor support from the project itself; commercial support comes from Preset or consultancies
Apache Superset Pricing
Open SourceTech Stacks with Apache Superset
Superset Self-Hosted
InfrastructureApache Superset on your own server with Docker: a SQL metadata database (PostgreSQL by default, MySQL and MariaDB also supported) and Redis behind the Celery workers, keeping every dashboard, query, and user record on your infrastructure.
Tools Related to Apache Superset
Works well with Apache Superset(4)
Superset connects directly to PostgreSQL for SQL-driven dashboards and charts.
Superset connects to BigQuery through the sqlalchemy-bigquery driver and a service account; each dashboard query runs in BigQuery and is billed by bytes scanned.
Superset connects to Snowflake through the snowflake-sqlalchemy driver, running dashboard and SQL Lab queries live on a Snowflake warehouse.
Superset connects to Redshift through the sqlalchemy-redshift driver, running SQL Lab and dashboard queries live against the cluster or Serverless workgroup.
Built on (1)
Apache Superset is a Python-based business intelligence web application.
Alternatives to Apache Superset(6)
Both open-source self-hostable BI tools with SQL-driven dashboards; Metabase is simpler and more accessible, Superset is more powerful and customizable.
Tableau is commercial and enterprise; Superset is open-source and self-hostable with a similar SQL-driven approach.
Power BI is Microsoft SaaS BI; Superset is open-source self-hostable — overlap in SQL-driven dashboarding, different deployment models.
Looker is enterprise with a code-first data modeling layer; Superset is open-source and self-hostable — both are SQL-first BI tools.
Superset is a BI platform for SQL-driven dashboards; Sheets is a spreadsheet — overlap only in basic charting/reporting.
Apache Superset and QuickSight are both BI tools; Superset is open-source and self-hosted for full data sovereignty while QuickSight is a managed AWS service with pay-per-session pricing.