SpatialistsDec 16
Deep dive on pruning: 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,...
https://spatialists.ch/posts/2025/12/16-deep-dive-on-pruning/ #GIS #GISchat #geospatial #SwissGIS
Deep dive on pruning – Spatialists – geospatial news

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.

Spatialists – geospatial news
Show threadJakob MikschOct 11
maybe #sedonadb could also be used for building a readonly HTTP #api
Show threadJakob MikschOct 11
intergrating #SedonaDB into #qgis might be a good way to speed up local #geodata analysis
HostvixSep 24, 2025

🚀 Apache introduces SedonaDB: a single-node analytical database with geospatial as a first-class citizen. Rust-powered, Arrow-native, and fast on spatial joins—bridging the gap between PostGIS and DuckDB. Perfect for interactive, medium-scale spatial analytics.

https://dropletdrift.com/sedonadb-bringing-geospatial-data-to-the-core-of-analytical-databases/

#SedonaDB #Geospatial #Database #DataAnalytics #BigData #Spatial #RustLang #Arrow #DataScience #SQL #Python #PostGIS #DuckDB #GIS #OpenSource #CloudData #DataEngineering #Mapping #SpatialAnalytics #Analytics

SedonaDB: Bringing Geospatial Data to the Core of Analytical Databases - DropletDrift

Contents show Architecture and Design Choices Performance in Context Practical Example Strengths and Limitations Implications and Future Directions Geospatial data is now woven into nearly every modern application, from navigation and logistics to urban planning and climate modeling. Yet most analytical databases treat location as an optional add-on, bolted in through extensions or external libraries. […]

DropletDrift
N-gated Hacker NewsSep 24, 2025
🌍🔧 "SedonaDB: #The 'revolutionary' #geospatial #DataFrame #library that no one asked for, written in #Rust because why not? 😒 It's like they took a detour through the desert to reinvent the wheel—again. 🚗💨"
https://sedona.apache.org/latest/blog/2025/09/24/introducing-sedonadb-a-single-node-analytical-database-engine-with-geospatial-as-a-first-class-citizen/ #SedonaDB #reinventing #wheel #tech #news #HackerNews #ngated
Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona

Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.

Hacker NewsSep 24, 2025

SedonaDB: A new geospatial DataFrame library written in Rust

https://sedona.apache.org/latest/blog/2025/09/24/introducing-sedonadb-a-single-node-analytical-database-engine-with-geospatial-as-a-first-class-citizen/

#HackerNews #SedonaDB #Geospatial #Rust #DataFrame #Library #DataScience

Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona

Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.