Oracle’s Spatial Database

2D spatial data

Store and query 2D spatial geometries in Oracle Database, such as points of interest, streets, administrative boundaries. Perform queries based on proximity (how far is it?) and containment (is it inside a region?). Access hundreds of functions to filter data, measure distance relationships, and combine/transform geometries.

3D Point Cloud data and Light Detection and Ranging (LiDAR)

Manage spatial sensor data from laser scanning or photogrammetry, for use in enterprise 3D geographic information system (GIS) and Smart City applications. The 3D support is optimized for point cloud and CityGML workflows.

Raster data

Store and process geo-referenced raster data, such as orthophotos, satellite imagery, and gridded data for energy, natural resource management, or national security applications. Perform powerful raster analytics and on-the-fly image processing, with virtual mosaics and an easy-to-use loading tool supporting popular data formats.

• Learn more about GeoRaster in Oracle Database (PDF)

Network data

Model road transportation, telco, utility, energy, and other networks and analyze this complex data for shortest path, nearest neighbor, within cost, and reachability.

• Learn more about Network Data Model (PDF)

Topology data

Manage topology data used by mapping and land management organizations with fine-grained feature editing and data integrity across maps and map layers for very large land parcel datasets with high consistency and accuracy.

Streaming point data

Track millions of moving objects against thousands of regions of interest, for logistics and IoT applications. Analyze locations of moving people for the purpose of contact tracing using a scalable, automatic API.

Spatial Studio application

Use Oracle Spatial Studio, a self-service application, to create interactive maps and perform spatial analysis on business data quickly and easily. Users can visualize, explore, and analyze geospatial data stored in and managed by Oracle in the cloud or on-premises.

Analyst support

Easy access to spatial analysis operations with minimal coding. Users can create projects with datasets from multiple sources, create and configure visualizations, perform spatial analysis operations, and publish results.

Developer support

Users can access Spatial Studio features via REST API, embed visualizations in other applications such as Oracle Analytics Cloud, and access spatial analysis SQL.

Data integration and enrichment

Access content from Oracle Database, including uploaded data from spreadsheets, GeoJSON, and shapefiles. This data can be enriched through geocoding and creating latitude/longitude indexes. In-addition they also have access to background mapping services.

Popular languages and frameworks

Use SQL, PL/SQL, Java, Python, JavaScript, Oracle Jet, Node.js, JSON, or REST to add spatial analysis and maps to applications. Develop applications using environment of choice – without having to learn new languages.

Oracle developer tools

Use spatial and location features directly from popular tools available with Oracle Database and Autonomous Database —such as APEX, SQL Developer, SQL Developer Web, and Visual Builder for faster development cycles.

Enrich data

Enhance data with spatial attributes such as address geocoding and place names for downstream analytics. Unlock the location component hidden in less structured data, to combine with other data, and perform spatial and text analysis.

Contact tracing APIs

Easily analyze location of moving objects for pair-wise interactions in contact tracing applications using a scalable, automatic API in Oracle Database.

Support GIS and open-source tools

Use Oracle’s spatial data management layer with popular GIS software, open-source tools, and map visualization components providing users with a wide choice of applications.

Map visualization of geographic data

Use WebGL and HTML5 JavaScript APIs to add highly interactive maps and spatial analysis into business applications. Combine application content with maps and data from a variety of web services and data formats to create richer mapping applications.

Geocoding and reverse geocoding

Enrich existing address and location information from relational tables (customer addresses, site locations) with latitude/longitude, as the first step for building location intelligence applications.

• Learn more about Geocoder in Oracle Database (PDF)

Routing engine

Generate driving distances, times, and directions between locations and perform calculations such as fastest or shortest routes or traveling salesperson for logistics, delivery, and retail applications.

Open Geospatial Consortium web services

Publish spatial data and interoperate with a wide range of commercial, open source, or custom data sources and applications, with support for standard OGC Web Feature Services, Web Coverage Service, and Catalog Services to deploy and administer distributed spatial services.

Scalability and performance

Power the most demanding, large scale spatial applications and location intelligence workloads in the cloud and on-premises with dramatically fast spatial index and query performance, Oracle Exadata integration, and support for database features such as partitioning, distributed transactions, and sharding.

Secure spatial data reliably

Gain enterprise grade sophisticated, multilevel access control for fine-grained end-to-end security of spatial data.

Autonomous capabilities

Reduce operational costs while providing workload-optimization with Oracle Autonomous Database self-driving, self-securing, and self-repairing capabilities.

• Learn more about Autonomous Database

Align with global standards

Alignment with applicable ISO and OGC standards for spatial data and mapping services for interoperability.