Simple Feature Access - Implementations

Implementations

Part 2 of Simple Feature Access is implemented to varying degrees in:

• MySQL Spatial Extensions, although "All of the functions that calculate relations between geometries are implemented using bounding boxes not the actual geometries."
• PostGIS extension for PostgreSQL, also supporting some of the SQL/MM Spatial features.
• SpatiaLite extension for SQLite
• Oracle Spatial, which also implements some of the advanced features from SQL/MM Spatial.
• IBM DB2 Spatial Extender and IBM Informix Spatial DataBlade.
• Microsoft SQL Server since version 2008, with significant additions in the 2012 version.

The GDAL library (sometimes described as a Spatial ETL because it can convert between various proprietary storage models) implements the Simple Features data model in its OGR component. The Java degree (framework) implements SFA (part 1) and various other OGC standards.

GeoSPARQL is an OGC standard that is intended to allow geospatially-linked data representation and querying based on RDF and SPARQL by defining an ontology for geospatial reasoning supporting a small Simple Features (as well as DE-9IM and RCC8) RDFS/OWL vocabulary for GML and WKT literals.