MindsDB vs Supabase
| Tagline | AI layer for existing databases: train and query ML models with standard SQL | Open-source Firebase alternative built on PostgreSQL with realtime and auth |
| Category | Databases & Spreadsheets | Databases & Spreadsheets |
| Replaces | Airtable, Google Sheets, Retool | Airtable, Google Sheets, Retool |
| GitHub stars | 39k | 107k |
| Language | Docker | TypeScript |
| License | Elastic-2.0 | Apache-2.0 |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Docker Compose | Docker Docker Compose Kubernetes |
| Managed hosting | ||
| Last updated | 22 days ago | 5 days 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.
MindsDB
- Elastic-2.0 license restricts commercial competing use cases
- Self-hosted ML training is resource-intensive; GPU support requires additional setup
- Not a full spreadsheet or no-code database replacement; primarily targets developers and data engineers
- Fewer pre-built connectors than enterprise ETL platforms like dbt or Fivetran
Supabase
- Self-hosted Docker Compose stack is complex: 8+ services including Kong, GoTrue, PostgREST, Realtime
- Studio table editor is less polished than Airtable UX for non-technical users
- Edge Functions are limited to Deno; no Node.js runtime in the self-hosted edition
Bottom line
Both are a similar lift to self-host; choose Supabase for the larger community and ecosystem. Supabase has seen more recent development. Open each guide below for deploy steps and the full feature gap.