Integrated 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.
Oracle AI Database 26ai Powers the AI for Data RevolutionOracle 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 intelligence to your decision-making for a competitive advantage. Business analysts can visualize spatial data, uncover patterns, and create maps with intuitive low-code tools, while developers can seamlessly integrate spatial capabilities into their applications. Natural language to SQL makes location intelligence accessible to both developers and analysts by generating spatial queries from plain-language prompts, powered by Oracle's comprehensive library of spatial operators and functions.
Comprehensive support for geospatial use cases
Handle advanced spatial modeling and data management requirements with support for vector, raster, LiDAR, and network data. Oracle Spatial scales from enterprise geospatial workloads to industry-specific applications across transportation, government, utilities, telecommunications, and more. By combining spatial relationships with Vector AI, developers can build intelligent, location-aware applications that use semantic and proximity search to power recommendations, similarity search, retrieval-augmented generation (RAG), and geospatial AI assistants—all within Oracle AI Database.
Enterprise-scale spatial processing and analytics
Benefit from the scalability, high availability, security, and converged capabilities of Oracle AI Database when running spatial analytics, eliminating the need for separate spatial databases. Oracle Spatial is tightly integrated with Oracle Analytics, Oracle APEX, and third-party GIS tools, enabling organizations to combine geospatial analytics with AI, machine learning, and business intelligence workflows. Leverage Oracle Autonomous AI Database for increased automation and Oracle Exadata for extreme performance when running spatial and AI workloads at scale.
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.
2d spatial data
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.
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.
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.
Geocoding, routing, and networks
Spatial AI
Detect location patterns and make better predictions with geospatial machine learning algorithms. Enhance your workflows with powerful spatial analysis combined with AI. Use natural language to query and analyze spatial data—Spatial AI translates plain English into SQL and spatial operations, making location intelligence accessible to more users. Develop and operationalize geospatial-based predictive models at scale in Python with Oracle Machine Learning Notebooks in Oracle Autonomous AI Database.
Self-service mapping with Spatial Studio
Oracle developer tools
Popular developer tools and frameworks
Enterprise security and performance
Power large-scale spatial workloads with enterprise-level performance using database features such as partitioning, in-memory, distributed transactions, sharding, and Oracle Exadata integration. Reliably secure and govern spatial data with sophisticated, multilevel access control, unified auditing, and fine-grained, end-to-end security.
See how location intelligence data helps build smarter businesses.
Explore geospatial data and integrate location intelligence into your apps with a no-code mapping tool, Spatial Studio.
Adding location intelligence to your apps and analytics just got easier with the new geocoding API in Autonomous AI Database. It converts your address data into geographic coordinates without purchasing separate reference data.
Generate vector tiles via an in-database function and stream them for scalable, flexible maps within your apps. In addition, create compelling, easy-to-use visuals via hexagonal hierarchical spatial indexing (H3).
Use cases for Oracle Spatial
National government
Manage and analyze large, critical national data sets for mapping/land registries, defense/intelligence, agriculture, public health, and statistics.
Telco and utilities
Increase competitiveness by efficiently analyzing outages and planning field services. Optimize cell tower placement, maintenance workflows, and associated costs.
Transportation and logistics
Improve operational efficiency by processing and maintaining large volumes of spatial data, such as rail and airport assets, traffic, and logistics, either in batch or in real time.
Financial and insurance services
Discover risk zones and other patterns based on customer location data analysis and customize offers based on location intelligence.
State and local government
Modernize operations and improve service delivery in public safety with location intelligence for crime mapping, transportation, urban planning, emergency services, and public works.
Engineering and construction
Eliminate data silos, connect workflows, and provide location context by combining GIS and CAD systems for building information modeling (BIM) and facilities management.
Retail
Enhance customer experience with location intelligence for targeted marketing, site planning, and indoor customer flow.
Healthcare
Improve care planning and track disease outbreak patterns, epicenters, exposures, and environmental impact based on location.
Hospitality and travel
Enable targeted marketing and enhance guest experiences through site selection and personalized, location-based guest experiences.
Unlock Spatial Insights Faster with Spatial Studio, Now Built into Autonomous AI Database
David Lapp, Senior Principal Product ManagerWe’re pleased to announce that Spatial Studio is now available as an Oracle-managed tool within Autonomous AI Database Serverless, making it easier than ever to get started. By removing installation barriers previously associated with the customer-managed application, Spatial Studio can now be accessed quickly and seamlessly as one of Autonomous AI Database’s built-in tools.
Featured Oracle Spatial Database blogs
- February 13, 2026Accelerating Geospatial Innovation with CARTO on Oracle Autonomous AI Database
- November 20, 2025Leading Industry Analysts Comment on the Latest AI and Machine Learning Innovations to Autonomous Database
- July 8, 2025Spatial Studio 25.1 Now Available
- May 14, 2025Oracle Spatial Routing Capabilities on Oracle Autonomous AI Database
Additional Oracle Spatial resources
- Documentation
- Datasheet: Spatial Technology in Oracle AI Database (PDF)
- Spatial Developer’s Guide
- Spatial Studio installation steps
- Spatial Studio documentation
- Oracle AI Database development documentation (select “Spatial” view)
- Technical brief: Geocoder (PDF)
- Technical brief: GeoRaster (PDF)
- Technical brief: Network Data Model (PDF)
Get started with Oracle Spatial
Try 20+ Always Free cloud services, with a 30-day trial for even more
Oracle offers a Free Tier with no time limits on more than 20 services such as Autonomous AI Database, Arm Compute, and Storage, as well as US$300 in free credits to try additional cloud services. Get the details and sign up for your free account today.
What’s included with Oracle Cloud Free Tier?
- 2 Autonomous AI Database instances, 20 GB each
- AMD and Arm Compute VMs
- 200 GB total block storage
- 10 GB object storage
- 10 TB outbound data transfer per month
- 10+ more Always Free services
- US$300 in free credits for 30 days for even more
Try out Oracle Spatial
The best way to get to know the powerful capabilities of Oracle Spatial is to try it yourself. Use our tutorials and hands-on labs with your own Oracle Cloud tenancy or a free sandbox environment.
Work with Spatial Data in Oracle Autonomous AI Database
Get an introduction to Oracle Spatial and learn how to use spatial queries to identify items based on proximity and containment.
Introduction to Spatial Studio
Explore Spatial Studio for self-service and low-code spatial analysis and visualization—load and visualize spatial data, then analyze their spatial relationships.
Get Started with Maps and Spatial in APEX
Use mapping in Oracle APEX with Oracle Spatial. Install and explore a prebuilt sample application with mapping examples, then create your own application with maps—through a wizard and from scratch.
Make better predictions with spatial algorithms in Oracle Machine Learning for Python on Autonomous AI Database
Incorporate location into your data science and machine learning–based solutions via spatial algorithms to make better predictions and detect patterns.
Webcasts and events
Join us for our Oracle Spatial events
Live webcasts and events
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