1. Gremlin The graph traversal language of Apache TinkerPop — enabling expressive, functional graph traversals across a wide variety of graph database systems.
2. GQL A declarative ISO standard graph query language leveraging SQL and existing graph query languages — including openCypher, PGQL, GSQL, and G-CORE.
3. SociaLite A query language for large-scale graph analysis — enabling efficient distributed computation over massive graph datasets using a Datalog-inspired syntax.
4. GSQL (TigerGraph) TigerGraph's native graph query language — the choice for fast and scalable graph operations and analytics on the TigerGraph platform.
5. openCypher An open source implementation of Cypher® — the most widely adopted, fully-specified, and open query language for property graph databases.
6. Neo4j Cypher A declarative graph query language used by developers worldwide — enabling intuitive, SQL-inspired querying of Neo4j property graph data.
7. PGQL (Property Graph Query Language) View data as a graph, discover insights, and unlock endless querying possibilities — an expressive query language designed for property graph schemas.
8. AQL (ArangoDB Query Language) A declarative language for ArangoDB — queries express what results you want, not how to get them. Human-readable, using familiar English keywords.
9. SPARQL A query language and protocol for accessing RDF — the W3C standard for querying semantic web data and knowledge graphs stored as triples.