Spatial Database

Oracle’s spatial database is an integrated part of Oracle's converged database, enabling developers, analysts, and geographic information system (GIS) professionals to manage geospatial data, perform analysis, add location-based services to applications, and visualize through interactive maps.

Try Oracle Spatial workshop
Deinland Solar Fast Tracks Climate Goals with Oracle AI Database and Oracle Spatial (3:53)
Oracle AI Database 26ai Powers the AI for Data Revolution

Oracle has architected AI into the core of Oracle AI Database 26ai, furthering Oracle’s commitment to helping customers securely bring AI to all their data, everywhere.

Why use Oracle Spatial?

  • Bring the power of location intelligence to decision-making

    Everything happens somewhere, so add location-based services and intelligence to your decision-making for a competitive advantage. Business analysts can visualize spatial data and discover patterns with easy-to-use, low-code tools to run analyses and create maps, while developers can simplify integration of spatial data in their apps.

  • Comprehensive support for geospatial use cases

    Handle advanced requirements for spatial modeling and spatial data management, including vector, raster, LiDAR, and network models. Support demanding and complex geospatial use cases at scale as well as geospatial use cases from transportation, government, utilities, telecommunications, and other industries.

  • Enterprise-scale spatial processing and analytics

    Benefit from scalability, high availability, security, and other converged features of Oracle AI Database when running spatial analytics and eliminate a need for separate spatial databases. Oracle Spatial is tightly integrated with Oracle Analytics and APEX, as well as third-party GIS tools. Leverage additional automation through Oracle Autonomous AI Database and extreme processing capabilities through Oracle Exadata.



Oracle Spatial key features

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

    • Store and query 2D spatial geometries in Oracle AI 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.

    • 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.

    • 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.