I Tried (And Ranked) EVERY GIS Database (You'll Be Surprised)

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Explore the ultimate guide to Spatial SQL tools! In this video, we dive into every tool designed for spatial analytics, data storage, and geospatial data processing. Whether you're working with spatial databases, data warehouses, processing tools, or analytics engines, this comprehensive overview will help you understand the unique features of each tool and how to choose the right ones for your workflow. Learn how to leverage Spatial SQL for geospatial analytics, identify the best tools for specific tasks, and discover tips to maximize efficiency with spatial data. If you're ready to master Spatial SQL and take your spatial analysis skills to the next level, this video is your one-stop resource!

0:00 Intro
1:35 Spatial SQL Categories
2:27 Relational Databases (PostGIS)
5:18 SpatiaLite/SQLite
7:03 DuckDB
9:56 Data Warehouses (BigQuery, Snowflake)
14:03 Spark & Distributed Computing
16:01 Databricks for Geospatial
17:03 Apache Sedona
18:13 Wherobots
18:50 Apache Iceberg for Geospatial
20:33 Remote Raster Data in Wherobots
22:10 Distributed Query Engines (Trino)
24:19 GPU Accelerated Databases (Heavy AI, Kinetica)
25:42 User Based Analytics (Apache Pinot)
26:30 Clickhouse?
27:23 Final Rankings

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