Analyze your spatial data efficiently
SpatialHadoop is an open source MapReduce extension designed specifically to handle huge datasets of spatial data on Apache Hadoop. SpatialHadoop is shipped with built-in spatial high level language, spatial data types, spatial indexes and efficient spatial operations.
SpatialHadoop Overview
SpatialHadoop is a MapReduce extension to Apache Hadoop designed specially to work with spatial data. Use it to analyze your huge spatial datasets on a cluster of machines.
SpatialHadoop v2 also ships with many new features and improvements.
- Basic data types now support double precision numbers for coordinates
- Added support for OGC standard data types and operations such as Linestring and MultiPolygon
- SpatialHadoop can now run in standalone mode making it easier than before to debug
- New operations added including convex hull, farthest/closest pair and skyline
- Several performance improvements and bug fixes for existing operations
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