Datasette vs PocketBase
| Tagline | Explore and publish data from SQLite databases via a web UI | Single-file open-source backend: SQLite database, auth, file storage, realtime |
| Category | Databases & Spreadsheets | Databases & Spreadsheets |
| Replaces | Airtable, Google Sheets | Airtable, Google Sheets, Retool |
| GitHub stars | 11k | 60k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 2/5 Easy | 1/5 Effortless |
| Deploy options | Docker Manual | Manual Docker |
| Managed hosting | ||
| Last updated | 7 days ago | 10 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.
Datasette
- SQLite-only; no native support for PostgreSQL or MySQL without third-party plugins
- Read-oriented by default; data editing requires plugins and extra configuration
- No spreadsheet-style formula engine or pivot tables like Google Sheets
- Multi-user collaboration and permissions are minimal without plugins
PocketBase
- SQLite single-file storage is not suitable for high write-concurrency production workloads
- No built-in spreadsheet-style grid view for non-developers; admin UI is developer-focused
- Horizontal scaling requires additional infrastructure; no native clustering support
Bottom line
Choose PocketBase if you want the lower-effort setup; choose PocketBase for the larger community and ecosystem. Datasette has seen more recent development. Open each guide below for deploy steps and the full feature gap.
PocketBase
Single-file open-source backend: SQLite database, auth, file storage, realtime