Grafana vs Heimdall
| Tagline | Observability and analytics dashboards for metrics, logs, and time series | Elegant PHP application dashboard to organise all your web applications |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI, Datadog | Tableau, Looker, Power BI |
| GitHub stars | 74k | 9.2k |
| Language | TypeScript | PHP |
| License | AGPL-3.0 | MIT |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | One-Click 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.
Grafana
- Oriented toward time-series and observability, not ad-hoc business analytics or pivot-style exploration
- No business-friendly visual query builder; dashboards assume knowledge of data sources and query languages
- Weak at relational/tabular BI reporting compared to Tableau or Power BI
- No semantic modeling layer; data modeling lives in the underlying sources
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
Both are a similar lift to self-host; choose Grafana for the larger community and ecosystem. Grafana has seen more recent development. Open each guide below for deploy steps and the full feature gap.