PostGIS, GeoPandas & DuckDB? Meet the One-Stop Spatial Engine

Meet SedonaDB, the newest open-source engine redefining spatial analytics.
In this tutorial, I’ll walk you through what SedonaDB is, how it works, and why it might just be the fastest spatial engine ever built.

You’ll see how to:

Install and run SedonaDB locally in Python or SQL
Query geospatial data directly from the cloud (no downloads needed)
Perform advanced spatial joins, nearest-neighbor, and area-weighted interpolation all in seconds (or faster)
Compare SedonaDB’s speed and simplicity against PostGIS, DuckDB, and GeoPandas
Save results to Parquet or GeoParquet

Whether you’re coming from PostGIS, DuckDB, or GeoPandas, this video will show you how SedonaDB bridges the gap between high performance and simplicity in modern geospatial analytics.

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📘 Resources Mentioned

Blog post comparing SedonaDB, PostGIS & DuckDB: https://forrest.nyc/sedonadb-vs-duckdb-vs-postgis-which-spatial-sql-engine-is-fastest/
GitHub repo with code & datasets: https://github.com/mbforr/postgis-duckdb-sedonadb-comparison
SedonaDB documentation: https://sedona.apache.org/sedonadb/latest/

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0:00 Intro to SedonaSB
0:33 What is SedonaDB
5:03 SedonaDB vs. PostGIS vs. DuckDB
6:19: SedonaDB Tutorial

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