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.
Przedstawiamy Oracle Database 23ai: wprowadzenie AI do danych
Larry Ellison i Juan Loaiza o strategii GenAI stojącej za Oracle Database 23ai.
Why use Oracle Spatial?
-
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.
-
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.
-
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
-
2D spatial data
-
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.
-
-
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
-
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.
-
-
Spatial AI
-
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.
-
-
Self-service mapping with Spatial Studio
-
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.
-
-
Oracle developer tools
-
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.
-
-
Popular development tools and frameworks
-
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.
-
-
Enterprise security and performance
-
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.
-
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.”
Geospatial intelligence use cases and customer stories
Make better Machine Learning predictions with spatial algorithms
David Lapp, Senior Principal Product Manager, Oracle
Including spatial algorithms in your machine learning (ML) workflow provides advantages for detecting patterns and predicting outcomes, leading to better decision-making for the business. Discover why incorporating location in your ML model is important and get an overview of an enhancement to Oracle Machine Learning for Python that leverages the native spatial features of Autonomous Database.
Spatial resources
Learn what’s new in the latest release
Getting started
Developer resources
Forums and Communities
Get started with Oracle Spatial Database
Try Spatial Studio
Install and get started today.
Try Oracle Cloud Free Tier
Oracle’s Spatial technology is included free of charge.