Oracle's spatial database is included in Oracle's converged database, allowing developers and analysts to get started easily with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Organizations can manage different types of geospatial data, perform hundreds of spatial analytic operations, and use interactive map visualization tools with the spatial features in Oracle Autonomous Database and Oracle Database.
Oracle’s location and spatial platform delivers enterprise scalability, security, and performance to power the most demanding applications in Oracle Cloud Infrastructure and on-premises.
See how location intelligence data helps build smarter businesses.
Quickly download and get started with Spatial Studio to explore geospatial data.
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Learn to build a geospatial platform on Oracle Autonomous Database.
Comprehensive spatial, mapping, and location analytics platform that addresses business-critical requirements across industries, including transportation, utilities, retail, energy, public sector, defense, construction, and more.
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.
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.
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.
Model road transportation, telco, utility, energy, and other networks and analyze this complex data for shortest path, nearest neighbor, within cost, and reachability.
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.
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.
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.
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.
Users can access Spatial Studio features via REST API, embed visualizations in other applications such as Oracle Analytics Cloud, and access spatial analysis SQL.
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.
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.
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.
Easily analyze location of moving objects for pair-wise interactions in contact tracing applications using a scalable, automatic API in Oracle Database.
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.
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.
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.
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.
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.
Gain enterprise grade sophisticated, multilevel access control for fine-grained end-to-end security of spatial data.
Reduce operational costs while providing workload-optimization with Oracle Autonomous Database self-driving, self-securing, and self-repairing capabilities.
Alignment with applicable ISO and OGC standards for spatial data and mapping services for interoperability.
SATLOG provides near real-time vehicle location, tour planning, and route optimization with Oracle Spatial, increasing fleet productivity.
Certegy uses maps to visually track fraudulent behavior patterns and location of an individual across cities and states using Oracle Spatial.
Spatial analysis integrates geographic and location data so Propre can enhance real estate insights and deploy new services faster across industries.
Finland’s COVID-19 exposure-tracking application uses Oracle Spatial to monitor exposures and control spread by contact tracing.
Visitors touring the park can view a real-time heat map enabled by spatial analytics in Oracle Database showing the number of other visitors present along any route.
Neustar’s ElementOne platform uses Oracle Spatial to provide its retailer clients with sophisticated analytics and predictive modeling capabilities. This gives retailers real-time insights into the effectiveness of their marketing programs and store siting plans, resulting in improved consumer satisfaction.
Governing entities can analyze national or local datasets for digital battlefield and surveillance, contact tracing, crime mapping, predictive policing, and emergency services.
Countries and cities gain efficiency by managing large and complex land registry and mapping, agricultural, 3D city modeling and planning, hydrographic map production, and meteorological data.
Companies increase competitiveness by efficiently analyzing outages and effectively planning field services.
Help in mobile network planning, utilities facilities management to optimize cell tower placement, maintenance workflows, and reduce costs.
Improve operational efficiency by processing large volumes of complex heterogenous spatial data for maintaining railway assets, airport assets, air traffic, long-haul trucking, and parcel delivery.
Companies can combine GIS and CAD systems for building information modeling (BIM) and facilities management, connecting workflows, eliminating data silos, and providing location context.
Enhance customer experience with targeted marketing, site planning, indoor customer flow with location intelligence.
Discover risk zones and other patterns based on customer location data analysis and customize offers based on this intelligence.
Improve planning care while tracking disease outbreak patterns, epicenters, exposures, and environmental impact based on location.
Denise Myrick, Product Manager, Oracle
Oracle Spatial Studio 22.3 is now generally available with several new capabilities and enhancements, including a streamlined way to create custom regions, support for Open Geospatial Consortium Web Map Service (WMS) maps as a dataset layer and abilities to save pins as a dataset and compound nonspatial filter criteria.