Metabase vs ryot
| Tagline | Easy-to-use open-source BI and embedded analytics for everyone | Track your media, fitness, and life facets in one self-hosted application |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI, Looker | Tableau, Looker, Power BI |
| GitHub stars | 48k | 3.4k |
| Language | Clojure | Docker |
| License | AGPL-3.0 | GPL-3.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | One-Click Docker Docker Compose Kubernetes Manual | Docker Docker Compose |
| Managed hosting | ||
| Last updated | today | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Metabase
- Advanced data modeling, row-level security, and SSO are gated behind the paid Pro/Enterprise editions
- Charting and visualization depth is more limited than Tableau or Power BI
- No deep semantic modeling layer like Looker's LookML
- Performance can degrade on very large datasets without careful tuning or caching
ryot
- No business analytics or arbitrary data source connectivity
- No mobile native app; relies on Progressive Web App
- Social/sharing features are limited compared to Goodreads or Letterboxd
- No collaborative or multi-household tracking support
Bottom line
Choose Metabase if you want the lower-effort setup; choose Metabase for the larger community and ecosystem. Metabase has seen more recent development. Open each guide below for deploy steps and the full feature gap.