Spatial Database

Oracle Spatial key features

Oracle Spatial is an integral part of Oracle Database, included in all editions of Oracle Database, database cloud services, and Autonomous Database, without additional licensing costs.

• 2D spatial data

  • Store and query 2D spatial geometries in Oracle Database, such as points of interest, streets, administrative boundaries. Perform spatial database queries based on proximity (How far is it?) and containment (Is it inside a region?). Hundreds of functions and operations are provided to filter data, measure distance relationships, combine and/or transform geometries, and take advantage of spatial indexing for faster query performance.

  • Learn more about 2D spatial data

• 3D LiDAR point clouds and raster

  • Manage and analyze high-volume 3D LiDAR and point cloud data representing city models and detailed digital twins for enterprise GIS and smart city applications. Store and process raster data, such as satellite imagery, orthophotos, and gridded data, with powerful analytics and on-the-fly image processing.

  • Learn more about 3D LiDAR point clouds and raster

• Map visualization

  • Turn large volumes of data into interactive, fast, and flexible maps with vector tiles. Summarize large volumes of point data for easy viewing with H3 (hexagonal hierarchical geospatial indexing), then create compelling visuals. Use SQL, WebGL and HTML5 JavaScript APIs to add highly interactive maps and spatial analysis into business applications.

  • Learn more about map visualization

• Geocoding, routing, and networks

  • Enrich existing data to build location intelligence in applications by generating latitude/longitude geocoding from address, generating routes (driving distances, times, directions, and so on) as well as modeling physical and logical networks and real-world features with a geographic component.

  • Learn more about networks

    Learn more about geocoding and routing

• Spatial AI

  • Detect location patterns and make better predictions with geospatial machine learning algorithms. Enhance your workflows with powerful spatial analysis combined with AI. Develop and operationalize geospatial-based predictive models at scale in Python with Oracle Machine Learning Notebooks in Oracle Autonomous Database.

  • Learn more about Spatial AI

• Self-service mapping with Spatial Studio

  • Create interactive maps and quickly perform spatial analysis on business data through an easy-to-use, no-code tool with features for business analysts and developers. Visualize, explore, and analyze geospatial data in the cloud or on-premises.

  • Learn more about Spatial Studio

• Oracle developer tools

  • Accelerate development cycles by using spatial features directly from integrated tools available with Oracle Database and Autonomous Database, such as Oracle APEX, Oracle SQL Developer, and Oracle Analytics Cloud.

  • Learn more about integration with Oracle developer tools

• Popular development tools and frameworks

  • Add spatial analysis and maps to applications with the app framework of your choice, such as standards-based SQL, Java APIs, native JSON, and REST, without learning new languages.

  • Learn more about development tools and frameworks support

• Enterprise security and performance

  • Power large scale spatial workloads with enterprise-level performance using database features, such as partitioning, in-memory, distributed transactions, and sharding as well as Oracle Exadata integration. Reliably secure spatial data with sophisticated, multilevel access control for fine-grained, end-to-end security.

  • Learn more about enterprise-level security and performance