Apache Superset
Apache Software Foundation BI web app for exploring data and building dashboards on nearly any SQL database.
No-code chart builder, SQL editor, semantic layer and security roles, run by the Apache Software Foundation.
Apache Superset is a data exploration and dashboard platform for teams that already have SQL databases or engines such as Presto, Trino or Athena. It suits organisations with engineers to deploy and run a multi-service Python application.
What it is
Analysts build charts with a no-code interface or the web SQL editor, then assemble dashboards from a gallery of visualizations including geospatial charts. It adds a lightweight semantic layer, a caching layer, configurable security roles and authentication, and a REST API.
Who it's for
It suits companies replacing or supplementing proprietary BI tools, with a team able to manage its deployment and database drivers. It does not suit a small team that wants a five-minute install; the docs separate user, administrator and developer guides because production setup is non-trivial.
Key features
No-code chart builder
Build charts without SQL from the chart interface.
Web SQL editor
Write advanced queries and explore results in the browser.
Semantic layer
Define custom dimensions and metrics once and reuse them.
Wide visualization library
Bar charts through to geospatial visualizations.
Caching layer
Configurable caching to ease load on the source database.
Security roles and authentication
Extensible roles and authentication options, plus an API for customization.
Up and running in 3 steps
Our honest verdict
What's great
- Connects to any SQL data store with a Python DB-API driver and SQLAlchemy dialect, a wide net across engines.
- Apache Software Foundation governance with user, administrator and developer guides.
- A semantic layer and caching are built in, so metrics stay consistent and source databases are protected.
- The architecture is described as cloud-native and designed for scale.
Where it falls short
- Production deployment is a real project: the README sends you to architecture docs for production options, and database drivers must be installed per source.
- It is a heavier stack to run and secure than a simple BI tool, so expect engineering time for upgrades and scaling.
- The newest release at time of reading is a 7.0.0 release candidate; the stable line may differ.
- No hosted option from the project; managed hosting would come from third parties.
Pricing & license
Apache Superset is free under Apache-2.0; the only cost is running it yourself, including the servers, metadata database and cache. The README shows no paid plan or hosted service.
Open remote AI-training roles
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
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FAQ
Which databases does it support?
Any SQL-speaking datastore or engine (Presto, Trino, Athena and more) that has a Python DB-API driver and a SQLAlchemy dialect.
Is there a paid version?
The README shows no paid tier. It is an Apache Software Foundation project under Apache-2.0.
Can it replace a proprietary BI tool?
The README says Superset can replace or augment proprietary business intelligence tools for many teams, with a no-code chart builder and SQL editor.
