Apache Superset vs Heimdall
| Tagline | Enterprise-ready BI web app for data exploration and dashboards | Elegant PHP application dashboard to organise all your web applications |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Looker, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 73k | 9.2k |
| Language | TypeScript | PHP |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 2/5 Easy |
| Deploy options | Docker Docker Compose Kubernetes Manual | Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | today | 7 months ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Apache Superset
- No native desktop authoring app like Tableau Desktop; all work happens in the browser
- Visualization customization is less polished and flexible than Tableau's drag-and-drop canvas
- No built-in semantic/modeling layer comparable to Looker's LookML (relies on external tools)
- Steeper learning curve and heavier infrastructure (Celery, Redis, metadata DB) for production
Heimdall
- No business analytics, charts, or data visualization
- No native multi-user support with role-based access
- Enhanced App integrations limited to a pre-defined list with no custom plugin API
- No alerting or on-call escalation for service outages
Bottom line
Choose Heimdall if you want the lower-effort setup; choose Apache Superset for the larger community and ecosystem. Apache Superset has seen more recent development. Open each guide below for deploy steps and the full feature gap.