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.
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Why use Oracle Spatial?
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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.
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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.
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Enterprise-scale spatial processing and analytics
Benefit from scalability, high availability, security, and other converged features of Oracle 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 Database and extreme processing capabilities through Oracle Exadata.
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.
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2D spatial data
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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.
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3D LiDAR point clouds and raster
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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.
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Map visualization
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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.
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Geocoding, routing, and networks
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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.
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Spatial AI
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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.
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Self-service mapping with Spatial Studio
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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.
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Oracle developer tools
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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.
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Popular development tools and frameworks
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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.
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Enterprise security and performance
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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.
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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 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).
“With the new Oracle Spatial vector tiles and H3 mapping features, we will be able to create meaningful maps based on large amounts of traffic accident data right from Oracle Database 23ai at super-fast speeds. With vector tiles, we'll be able to display 100s of 1,000s of crashes in just a few seconds. This will enable us to deliver an analysis and reporting engine to make better decisions faster using the best data available, improving and making roadways safer for the public.”
“Oracle Spatial is a key component of our geospatial engine ENIGNUM, which processes vast amounts of data from diverse sources and powers our map-centric application with advanced spatial analysis capabilities.”
Oracle Spatial customers
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.
Outline Global Powers AI-Enabled Geospatial Mapping with Oracle Database 23ai
Brenda Van, Senior Project Manager, Oracle Consulting
Outline Global turned vast aerial imagery into actionable insights with the power of geospatial analysis enabled by Autonomous Database 23ai, Oracle Spatial, and APEX. Discover how the Oracle solution transformed petabytes of pixels into sustainable progress and profit.
Featured Oracle Spatial Database blogs
- July 8, 2025 Spatial Studio 25.1 Now Available
- May 14, 2025 Oracle Spatial Routing Capabilities on Oracle Autonomous Database
- Apr 11, 2025 Rapid Spatial Development with Oracle Database 23ai
- March 19, 2025 Oracle Named to Geoawesome’s Global Top 100 Geospatial Companies 2025 List
Additional Oracle Spatial resources
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Documentation
- Datasheet: Spatial Technology in Oracle Database 23ai (PDF)
- Spatial Developer’s Guide
- Spatial Studio documentation
- Spatial Studio installation steps
- Oracle Database 23ai development documentation (select “Spatial” view)
- Technical brief: Geocoder (PDF)
- Technical brief: GeoRaster (PDF)
- Technical brief: Network Data Model (PDF)
- Technical brief: Optimizing Spatial Performance—Best Practices, Tips, and Tricks (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 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.
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What’s included with Oracle Cloud Free Tier?
- 2 Autonomous Databases, 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.
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Work with Spatial Data in Oracle Autonomous Database
Get an introduction to Oracle Spatial and learn how to use spatial queries to identify items based on proximity and containment.
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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.
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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.
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Make better predictions with spatial algorithms in Oracle Machine Learning for Python on Autonomous Database
Incorporate location into your data science and machine learning–based solutions via spatial algorithms to make better predictions and detect patterns.
Start this lab for Make better predictions with spatial algorithms in Oracle Machine Learning for Python on Autonomous Database
Webcasts and events
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Live webcasts and events
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On demand