Where it fits
Teams with SQL skills and a governed analytical data layer.
Trade-offs and limitations
It is not a data warehouse or ETL system. Row-level access, query costs and embedding need deliberate configuration.
Deployment and technology
Python · SQL databases. Self-hosting requires a supported deployment, capacity planning and a named maintainer. Consult the official installation guide for the current version.
Portability and integration
| API | REST API and database connectors |
|---|---|
| Authentication | Configurable authentication through Flask AppBuilder |
| Data export | Dashboard assets and underlying database data |
Migration considerations
Rebuild metrics and dashboards against reconciled datasets; validate access by role.
Security and ongoing costs
Budget for infrastructure, implementation, monitoring, patching, backups, restore tests and user support. Check the supported release and current advisories with the project. An open licence is not a security guarantee.
Freedom score and exit difficulty
A complete, evidence-backed assessment of all 15 criteria is required before publishing a score. Exit difficulty depends on your customisations, data model, integrations and operating documentation. This profile does not claim a hands-on benchmark or a complete security assessment.
Primary sources
Profile reviewed 2026-09-12. Verify the exact release, edition and extensions before implementation.