Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Oracle Spatial and Graph: History & Products

Oracle Spatial and Graph, formerly Oracle Spatial, is a free option component of the Oracle Database. The spatial features in Oracle Spatial and Graph aid users in managing geographic and location-data in a native type within an Oracle database, potentially supporting a wide range of applications — from automated mapping, facilities management, and…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Oracle Spatial and Graph topic overview

The analysis highlights History and Products as prominent areas in the source structure around Oracle Spatial and Graph. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
58
Source areas
3
Connected nodes
62
Extracted relationships
30
Related term clusters
28
Bridge connections
62

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Components · 41 topics
History · 9 topics
Overview · 9 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English
Developer
Oracle Corporation
License
Proprietary
Operating system
Cross-platform
Stable release
19c Release 1 / January 2019
Type
GIS and Graph Database

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Components

History

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Oracle Spatial and Graph connects Entity context

The extracted context around Oracle Spatial and Graph shows recurring relationship patterns in the source. For example, Oracle Spatial and Graph → December, Extreme Performance Edition, Free, Graph, Graph Developer's Guide, High Performance Edition, Locator, Oracle Database Cloud Service, Oracle Enterprise Edition, Oracle Locator, Oracle Spatial, Oracle Standard Edition, Oracle Standard Edition One Another extracted example is Oracle Spatial and Graph → Graph, Oracle, Oracle Spatial, SQL. Use these groups to spot repeated connection types before inspecting the individual relationships.

Oracle Spatial and Graph

Top relations

related to Availability · 13
Oracle Spatial and Graph → December, Extreme Performance Edition, Free, Graph, Graph Developer's Guide, High Performance Edition, Locator, Oracle Database Cloud Service, Oracle Enterprise Edition, Oracle Locator, Oracle Spatial, Oracle Standard Edition, Oracle Standard Edition One
related to Components · 4
Oracle Spatial and Graph → Graph, Oracle, Oracle Spatial, SQL
Available in · 1
Oracle Spatial and Graph → English
Developer · 1
Oracle Spatial and Graph → Oracle Corporation
License · 1
Oracle Spatial and Graph → Proprietary
Operating system · 1
Oracle Spatial and Graph → Cross-platform
Stable release · 1
Oracle Spatial and Graph → 19c Release 1 / January 2019
Type · 1
Oracle Spatial and Graph → GIS and Graph Database
Website · 1
Oracle Spatial and Graph → Official website

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

oracle spatial data graph network database rdf features semantic model open sql querying integration management system isbn feature option within

Oracle Spatial and Graph relationships Subject–Predicate–Object triples

TTTA extracted 30 structured relationships around Oracle Spatial and Graph. Examples in this analysis include Oracle Spatial and Graph → Available in → English and Oracle Spatial and Graph → Developer → Oracle Corporation. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Oracle Spatial and GraphAvailable inEnglish1.00infobox
Oracle Spatial and GraphDeveloperOracle Corporation1.00infobox
Oracle Spatial and GraphLicenseProprietary1.00infobox
Oracle Spatial and GraphOperating systemCross-platform1.00infobox
Oracle Spatial and GraphStable release19c Release 1 / January 20191.00infobox
Oracle Spatial and GraphTypeGIS and Graph Database1.00infobox
Oracle Spatial and GraphWebsiteOfficial website1.00infobox
transportationinstance ofand geospatial feature transactionsSpatial Visualization components to render data on maps.Network Data ModelThe Network Data Model feature is a property graph model used to mod…0.80text
logisticsinstance ofand geospatial feature transactionsSpatial Visualization components to render data on maps.Network Data ModelThe Network Data Model feature is a property graph model used to mod…0.80text
and utilitiesinstance ofand geospatial feature transactionsSpatial Visualization components to render data on maps.Network Data ModelThe Network Data Model feature is a property graph model used to mod…0.80text
transportationinstance ofNetwork Data ModelThe Network Data Model feature is a property graph model used to model and analyze physical and logical networks used in industries0.80text
logisticsinstance ofNetwork Data ModelThe Network Data Model feature is a property graph model used to model and analyze physical and logical networks used in industries0.80text

Related concept clusters Related term clusters

The concept neighborhoods around Oracle Spatial and Graph bring nearby vocabulary together. In this analysis, examples include Spatial, Database and Graph. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Oracle Spatial and Graph
    • Spatial
    • Database
    • Graph
    • Oracle
    • Features
    • Web
    • Data
    • Edition
    • Option
    • Model
    • Semantic
    • Open
  • oracle spatial and graph
    • Spatial
    • Model
    • Database
    • Network
    • Rdf
    • Data
    • Graph
    • Oracle
    • Semantic
    • Feature
    • Features
    • Services
  • oracle database
    • Spatial
    • Database
    • Oracle
    • Graph
    • Features
    • Model
    • Gis
    • Type
    • Also
    • Data
    • Mapping
    • Services
  • automated mapping
    • Gis
    • Type
    • Services
    • Geospatial
    • Semantic
    • Also
    • Rdf
    • Api
    • Feature
    • Indexing
    • Java
    • Networks
  • am/fm/gis
    • Type
    • Mapping
    • Services
    • Geospatial
    • Also
    • Api
    • Feature
    • Indexing
    • Java
    • Networks
    • Sql
    • System
  • spatial
    • Data
    • Rdf
    • Model
    • Semantic
    • Network
    • Indexing
    • System
    • Open
    • Geospatial
    • Gis
    • Type
    • Applications
  • data types
    • Network
    • Rdf
    • Model
    • Features
    • Semantic
    • Graph
    • Querying
    • Open
    • Spatial
    • Include
    • Used
    • Api
  • spatial analysis
    • Data
    • Rdf
    • Model
    • Semantic
    • Network
    • Indexing
    • System
    • Open
    • Geospatial
    • Gis
    • Type
    • Applications

Connections between topic areas Semantic bridges

For Oracle Spatial and Graph, one of the stronger structural bridges in this analysis connects Oracle Spatial and Graph with Components. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Oracle Spatial and Graph — Components · splits 21 ⟂ 42
Oracle Spatial and Graph — Overview · splits 53 ⟂ 10
Oracle Spatial and Graph — History · splits 53 ⟂ 10

Map overview Semantic statistics

Oracle Spatial and Graph

Nodes63
Edges62
Triples30
Avg. degree1.97
Density0.031746
Components1

Source & methodology

TTTA analyzes the structure around Oracle Spatial and Graph to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Oracle Spatial and Graph · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.

Monitor your Domain Rating with FrogDR