Spatial Data Engineering

WherobotsDB is the Wherobots lakehouse compute engine for spatial data. It runs Spatial SQL, Python, and Scala workloads on Apache Iceberg tables and files in object storage, with 300+ vector and raster functions and Apache Sedona API compatibility. GeoStats, map matching, and vector tile generation are WherobotsDB modules. Browse Spatial Data Engineering guides by task.

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Start here

• Set Up WherobotsDB

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Havasu data catalogs

Choose a catalog workflow based on where your tables are managed and which engine you want to use:

• Use Wherobots data catalogs for your own tables and datasets provided by Wherobots.
• Connect WherobotsDB to external catalogs to query tables managed by AWS Glue, Databricks Unity Catalog, or Amazon S3 Tables.
• Connect external engines to Wherobots catalogs to access Wherobots-managed tables from another engine, such as SedonaDB or Snowflake.

Browse the catalogs available to your Organization in the Data Catalogs UI.

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Vector data

• Load Data From External Storage
• Run Geospatial Queries
• Visualize Geometry Results
• Save Vector Data to External Storage

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Raster data

• Raster Data in WherobotsDB
• Raster SQL
• Visualize Raster Results
• Save Raster Data to External Storage

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Iceberg tables

• Iceberg Tables Overview
• Geometry and Geography Tables
• Upgrade Existing Geometry Tables
• Raster Tables
• Spatial Filter Push-down and Clustering

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Maps and visualization

• Tile Generation
• Using Feature Filters
• Visualize Data with Dekart
• Visualize Data with Felt

For dbt, Apache Airflow, and storage setup, see Build & Deploy.