
#CloudNativeGeo is everywhere, but does it live up to the hype? Lukas Merz takes a sharp look at formats like #COG, #FlatGeoBuf, #GeoParquet, and #PMTiles, and helps you decide when #cloudnative is the right tool for the job.

#CloudNativeGeo is everywhere, but does it live up to the hype? Lukas Merz takes a sharp look at formats like #COG, #FlatGeoBuf, #GeoParquet, and #PMTiles, and helps you decide when #cloudnative is the right tool for the job.

The #Overture Maps Foundation (#OMF) has released a #STAC for its data themes – including addresses, buildings, places, and transportation – available as #cloudnative #GeoParquet and #PMTile files via AWS and Azure. The #PMTiles are ready-to-use, e.g. to easily preview in Protomaps for quick exploration.
Should the @geofabrik Download Server offer #GeoParquet files?
Please leave your feedback on this forum thread: https://community.openstreetmap.org/t/osm-data-in-geoparquet-format/141690
#OpenStreetMap #OSM #Geofabrik #Parquet

There has been some discussion about OSM data in GeoParquet format, most recently in The last hurrah for OSM - #44 by SimonPoole. Apparently there many different ways to stuff OSM data into some form of Parquet; osm-parquetizer does it with raw data, ohsome-planet builds geometries even for historical data, and cadencemaps tries to emulate Overture’s POI schema. As the person running the Geofabrik download server I have been wondering if I could add some simple form of GeoParquet files to the d...
The QGIS GeoParquet Downloader Plugin

✨ Le plan cadastral millésime décembre 2025 est disponible !
Formats disponibles : #DXF / #EDIGEO (DGFiP) · #GeoJSON · #Shapefile · Tuiles vectorielles #MBTiles · #Geoparquet
🆕 À retenir :
🔹 des mises à jour trimestrielles (mars, juin, septembre, décembre)
🔹 des données plus lisibles et cohérentes dans le temps
🔹 une publication après consolidation et traitement, pour garantir la qualité

#DevelopmentSeed has released #stacmap, an #opensource, map-first visualizer for exploring and searching #STAC collections through a simple, browser-based interface. It already supports natural-language queries (albeit experimentally) and also stac-#geoparquet.
Dewey Dunnington’s latest blog post dives deep into how pruning, the selective reading of relevant data, makes #GeoParquet blazing fast in both local and #cloudnative contexts. Featuring hands-on comparisons across #SedonaDB, #DuckDB, #GeoPandas, #GDAL, and #Sedona #Spark, it’s a must-read for anyone exploring efficient cloud-native geospatial workflows.