TigerGraph Insights

What is TigerGraph?

TigerGraph is a native graph database designed for complex analytics and machine learning. It's known for its ability to handle deeply connected data and perform real-time graph traversals, making it suitable for applications like fraud detection, recommendation engines, knowledge graphs, and supply chain optimization.

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What other technologies are related to TigerGraph?

TigerGraph Competitor Technologies

Neo4j

Neo4j is a leading graph database, directly competing with TigerGraph.

mentioned alongside TigerGraph in 3% (464) of relevant job posts

Cypher

Cypher is the query language for Neo4j, a competing graph database.

mentioned alongside TigerGraph in 5% (85) of relevant job posts

AWS Neptune

AWS Neptune is a graph database service offered by AWS, competing with TigerGraph.

mentioned alongside TigerGraph in 3% (113) of relevant job posts

SPARQL

SPARQL is a query language often used with RDF databases, representing a competing approach to graph data management.

mentioned alongside TigerGraph in 3% (96) of relevant job posts

RDF

RDF (Resource Description Framework) is a standard model for data interchange on the Web, and represents an alternative way to represent connected data, which may be considered a competitor in certain graph database use cases.

mentioned alongside TigerGraph in 2% (86) of relevant job posts

OWL

OWL (Web Ontology Language) is a semantic web language designed to represent rich and complex knowledge about things, groups of things, and relations between things, and represents an alternative way to represent connected data, which may be considered a competitor in certain graph database use cases.

mentioned alongside TigerGraph in 2% (62) of relevant job posts