Research any topic before you write.

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

Object–relational mapping

Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the memory (usually the heap) of an object-oriented programming language. This creates, in effect, a virtual object database that can be used from within the program.

Science, Overview & Object-oriented databases

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Object–relational mapping. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Overview

18 related topics

Object-oriented databases

4 related topics

Challenges

3 related topics

Comparison with traditional data access techniques

1 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Comparison with traditional data access techniques

Object-oriented databases

Challenges

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Object–relational mapping

Nodes31
Edges30
Triples13
Avg. degree1.94
Density0.064516
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Object–relational mapping

Top relations

see also · 12
Object–relational mapping → CORBA, FrameworkActive, Jakarta PersistenceService Data ObjectsEntity, Java Data Objects, Java Persistence API, JDO, JPA, List, Object, Object Request Broker Architecture, Structured Query Language, Table Inheritance

Important terminology Word statistics

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

Important terminology

object objects object-oriented database databases relational sql data tuples language single orm phone programming code mapping entry numbers methods use

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
native XML databases that provide more flexibility in data modelinginstance ofor document-oriented databases0.80text
Object–relational mappingsee alsoList0.60section
Object–relational mappingsee alsoObject Request Broker Architecture0.60section
Object–relational mappingsee alsoCORBA0.60section
Object–relational mappingsee alsoObject0.60section
Object–relational mappingsee alsoStructured Query Language0.60section
Object–relational mappingsee alsoJava Data Objects0.60section
Object–relational mappingsee alsoJDO0.60section
Object–relational mappingsee alsoJava Persistence API0.60section
Object–relational mappingsee alsoJPA0.60section
Object–relational mappingsee alsoJakarta PersistenceService Data ObjectsEntity0.60section
Object–relational mappingsee alsoFrameworkActive0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.