Overview
This section compares Seafowl to some other adjacent and similar projects.
Seafowl's main purpose is delivering query results to your client-side visualizations, dashboards, reports and other data-driven applications, so this section mostly considers using other databases for this.
Click on the heading for each database to go to an in-depth comparison page for it.
| Feature | PostgreSQL | DuckDB | ROAPI | Snowflake | Seafowl |
|---|---|---|---|---|---|
Analytical SELECT features | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐☆ | ⭐⭐⭐ | ⭐⭐☆ |
| Performance for analytical queries | ☆☆☆ | ⭐⭐⭐ | ⭐⭐☆ | ⭐⭐⭐ | ⭐⭐☆ |
| Suitability for transactional queries | ⭐⭐⭐ | ☆☆☆ | ☆☆☆ | ☆☆☆ | ☆☆☆ |
| Read-write support | ✔️ | ✔️ | ❌ | ✔️ | ✔️ |
| Query interface | SQL, custom protocol | SQL, in-memory | SQL, REST, GraphQL over HTTP | SQL over HTTP, JDBC, ODBC | SQL over HTTP |
| UDF support | ✔️ | ✔️ | ❌ | ✔️ | ✔️ |
| Infrastructure/licensing costs | ⭐⭐☆ | ⭐⭐⭐ | ⭐⭐⭐ | ☆☆☆ | ⭐⭐⭐ |
| Query result caching | ☆☆☆ | ☆☆☆ | ☆☆☆ | ⭐☆☆ | ⭐⭐⭐ |
| Scalability | ⭐☆☆ | ⭐☆☆ | ⭐☆☆ | ⭐⭐⭐ | ⭐⭐☆ |
| Suitability for deployment at the edge | ☆☆☆ | ⭐☆☆ | ⭐⭐☆ | ☆☆☆ | ⭐⭐⭐ |
