Spade streamlines geospatial ETL workflows, making it easy to move data between formats, systems, and coordinate reference systems.
The Challenge
Geospatial ETL involves:
- Ingesting data from diverse sources (APIs, cloud storage, databases)
- Converting between formats (GeoJSON, Shapefile, GeoPackage, GeoTIFF)
- Reprojecting between coordinate reference systems
- Validating and cleaning spatial geometries
- Loading processed data into target systems
How Spade Helps
Spade's built-in GDAL block library and data provider blocks handle the heavy lifting:
- Format conversion — Use GDAL translate and warp blocks for seamless format conversion
- Reprojection — Transform between any CRS supported by PROJ
- Data providers — Connect to S3, GCS, HTTP endpoints, and more through OpenDAL blocks
- Type safety — Spade's type system ensures raster outputs connect to raster inputs, catching wiring errors before execution
- Reproducibility — Deterministic execution and caching mean the same pipeline always produces the same results
Benefits
- No custom glue code — Chain existing blocks instead of writing format-specific scripts
- Parallel execution — Process multiple datasets concurrently
- Audit trail — Full logging of every block execution for compliance and debugging