PocketBase vs Querybook
| Tagline | Single-file open-source backend: SQLite database, auth, file storage, realtime | Pinterest's open-source big data query notebook for collaborative SQL analytics |
| Category | Databases & Spreadsheets | Databases & Spreadsheets |
| Replaces | Airtable, Google Sheets, Retool | Retool, Google Sheets, Smartsheet |
| GitHub stars | 43k | 1.8k |
| Language | Go | Python |
| License | MIT | Apache-2.0 |
| Self-host difficulty | 1/5 Effortless | 4/5 Involved |
| Deploy options | Manual Docker | Docker Docker Compose |
| Managed hosting | ||
| Last updated | 1 month ago | 9 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.
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
Querybook
- Primarily designed for big data query engines (Hive, Presto); poor fit for everyday OLTP databases
- No spreadsheet-style formula editing; purely a SQL notebook tool
- Requires Elasticsearch and Celery workers, adding significant infrastructure overhead
Bottom line
Choose PocketBase if you want the lower-effort setup; choose PocketBase for the larger community and ecosystem. PocketBase 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
Querybook
Pinterest's open-source big data query notebook for collaborative SQL analytics