Research any topic before you write.

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

QUEL query languages

QUEL is a relational database query language, based on tuple relational calculus, with some similarities to SQL. It was created as a part of the Ingres DBMS effort at University of California, Berkeley, based on Codd's earlier suggested but not implemented Data Sub-Language ALPHA. QUEL was used for a short time in most products based on the freely…

Products & Art

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 QUEL query languages. 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.

Key facts & relationships

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

Designed by
Michael Stonebraker
Family
Query language
First appeared
1976; 50 years ago (1976)

Topics to explore

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

Overview

Usage

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

QUEL query languages

Nodes17
Edges16
Triples3
Avg. degree1.88
Density0.117647
Components1

How this topic connects Entity context

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

QUEL query languages

Top relations

Designed by · 1
QUEL query languages → Michael Stonebraker
Family · 1
QUEL query languages → Query language
First appeared · 1
QUEL query languages → 1976; 50 years ago (1976)

Important terminology Word statistics

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

Important terminology

quel ingres sql language based tuple available dbms query relation data used part alpha postquel years example table relational database

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
QUEL query languagesDesigned byMichael Stonebraker1.00infobox
QUEL query languagesFamilyQuery language1.00infobox
QUEL query languagesFirst appeared1976; 50 years ago (1976)1.00infobox

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.