Perform Spatial Analysis Using Oracle Spatial with Autonomous AI Database

Spatial features are included in Autonomous AI Database on Dedicated Exadata Infrastructure, allowing developers and analysts to get started easily with location intelligence analytics and mapping services.

About Oracle Spatial

Autonomous AI Database includes Oracle Spatial. Oracle Spatial allows developers and analysts to use spatial analysis in every application, from basic spatial search and analysis to advanced geospatial applications and Geographic Information Systems (GIS).

With the spatial features in Autonomous AI Database, organizations can:

Manage different types of geospatial data
Perform hundreds of spatial analytic operations, and
Use interactive map visualization tools

The spatial features of Autonomous AI Database enable storage, retrieval, update, query, and processing of spatial data. They consist of the following:

A schema (MDSYS) that prescribes the storage, syntax, and semantics of supported geometric data types
A spatial indexing mechanism
Operators, functions, and procedures for performing area-of-interest queries, spatial join queries, and other spatial analysis operations
Utility functions and procedures for validating, loading, extracting, and working with spatial data
GeoRaster, a feature that lets you store, index, query, analyze, and deliver GeoRaster data, that is, raster image and gridded data and its associated metadata

See Spatial Concepts in Oracle Database 19c or Oracle Database 26ai for more information.

Oracle Cloud Marketplace Images for Spatial

Autonomous AI Database on Dedicated Exadata Infrastructure includes Oracle Spatial with the following components.

Geocoding, routing, and map visualization are supported through PL/SQL APIs that access Oracle Maps Cloud Service subject to the following:
See Oracle Maps Cloud for more information.

The following Oracle Spatial components require that you deploy Spatial Oracle Cloud Marketplace images in your tenancy with the Autonomous AI Database.