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.

Deinland Solar Fast Tracks Climate Goals with Oracle AI Database and Oracle Spatial (3:53)
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 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.

    • 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.

    • 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.

    • 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.

    • 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

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

    • 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.

    • 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.

Overview of Oracle’s spatial database

See how location intelligence data helps build smarter businesses.

Get started with spatial—without coding

Explore geospatial data and integrate location intelligence into your apps with a no-code mapping tool, Spatial Studio.

Built-in geocoding API in Autonomous AI Database

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.

Spatial vector tiles and H3 support in Oracle AI Database

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 AI Database 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."

Gerald DildinePresident, ITIS Corporation

"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."

Knut Göttling Head of Digitalization & Systems Integration, Deinland Solar

Oracle Spatial customers

See how Oracle Spatial customers use location intelligence to solve complex business challenges.

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.

April 15, 2026

Unlock Spatial Insights Faster with Spatial Studio, Now Built into Autonomous AI Database

David Lapp, Senior Principal Product Manager

We’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.

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.

    Start this lab

  • 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.

    Start this lab

  • 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.

    Start this lab

  • 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.

    Start this lab