Research any topic before you write.

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

Gremlin (query language)

Gremlin is a graph traversal language and virtual machine developed by Apache TinkerPop of the Apache Software Foundation. Gremlin works for both OLTP-based graph databases as well as OLAP-based graph processors. Gremlin's automata and functional language foundation enable Gremlin to naturally support imperative and declarative querying, host language…

Overview, Gremlin graph traversal machine & Vendor integration

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 Gremlin (query language). 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

16 related topics

Gremlin graph traversal machine

5 related topics

Vendor integration

1 related topics

Traversal examples

1 related topics

Key facts & relationships

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

Designed by
Marko A. Rodriguez
Developer
Apache TinkerPop of the Apache Software Foundation
First appeared
2009; 17 years ago (2009)
License
Apache License 2.0
OS
Cross-platform (multi-platform)
Stable release
3.8.0 / 12 November 2025; 9 months ago (2025-11-12)

Topics to explore

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

Overview

Vendor integration

Traversal examples

Gremlin graph traversal machine

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

Gremlin (query language)

Nodes28
Edges27
Triples7
Avg. degree1.93
Density0.071429
Components1

How this topic connects Entity context

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

Gremlin (query language)

Top relations

Designed by · 1
Gremlin (query language) → Marko A. Rodriguez
Developer · 1
Gremlin (query language) → Apache TinkerPop of the Apache Software Foundation
First appeared · 1
Gremlin (query language) → 2009; 17 years ago (2009)
License · 1
Gremlin (query language) → Apache License 2.0
OS · 1
Gremlin (query language) → Cross-platform (multi-platform)
Stable release · 1
Gremlin (query language) → 3.8.0 / 12 November 2025; 9 months ago (2025-11-12)
Website · 1
Gremlin (query language) → tinkerpop.apache.org

Important terminology Word statistics

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

Important terminology

gremlin graph traversal machine language virtual apache tinkerpop sparql databases foundation java movies emit declarative steps instruction set sql following

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Gremlin (query language)Designed byMarko A. Rodriguez1.00infobox
Gremlin (query language)DeveloperApache TinkerPop of the Apache Software Foundation1.00infobox
Gremlin (query language)First appeared2009; 17 years ago (2009)1.00infobox
Gremlin (query language)LicenseApache License 2.01.00infobox
Gremlin (query language)OSCross-platform (multi-platform)1.00infobox
Gremlin (query language)Stable release3.8.0 / 12 November 2025; 9 months ago (2025-11-12)1.00infobox
Gremlin (query language)Websitetinkerpop.apache.org1.00infobox

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.